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Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand

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  • Received: 05 November 2024
    Revised: 25 November 2024
    Accepted: 26 November 2024
    Published online: 20 December 2024
    Studies in Fungi  9 Article number: e015 (2024)  |  Cite this article
  • Blue mold disease is one of the most important postharvest diseases affecting garlic bulbs. In 2023, this disease was found on bulbs of elephant garlic [Allium ampeloprasum var. ampeloprasum (Borrer) Syme] in Chiang Mai Province, Thailand, during the postharvest storage period. Three fungal isolates were obtained and identified as Penicillium allii based on morphological characteristics and phylogenetic analysis of combined sequences of the internal transcribed spacer (ITS) of ribosomal DNA, β-tubulin (BenA), calmodulin (CaM), and RNA polymerase II second largest subunit (rpb2) genes. In the pathogenicity test, garlic bulbs inoculated with the isolated fungi exhibited symptoms similar to those observed during the postharvest storage period. In the fungicide screening test, carbendazim, difenoconazole + azoxystrobin, and difenoconazole effectively completely inhibited this fungus at both half and recommended dosages, while the fungus showed insensitivity to captan and mancozeb. Additionally, double-recommended dosages of carbendazim, copper oxychloride, difenoconazole combined with azoxystrobin, and difenoconazole alone exhibited complete inhibition of the fungus. To the best of our knowledge, this is the first report of postharvest blue mold disease on elephant garlic bulbs caused by P. allii in Thailand. Furthermore, the results of the fungicide sensitivity screening could help in developing effective management strategies for controlling postharvest blue mold disease on elephant garlic bulbs caused by P. allii.
  • The Trichoderma genus encompasses a wide-ranging collection of filamentous fungi, prevalent in various natural ecosystems[1]. Trichoderma species within this genus have earned acclaim for their exceptional capacity to inhabit plant roots, stimulate plant growth, and showcasing biocontrol attributes against a spectrum of fungal adversaries[2]. Employing tactics like mycoparasitism, antibiosis, competitive resource acquisition, and plant resistance induction, these species effectively manage fungal diseases[3]. Notably, they are increasingly utilized in agriculture as biofertilizers and biopesticides[1]. Trichoderma-based bio-fungicides, available in different formulations like wettable powders, granules, and flowable concentrates, offer a convenient application to seeds, seedlings, soil, and foliage[4,5]. Besides their disease-fighting properties, these bio-fungicides promote plant growth through various mechanisms such as phytohormone production, nutrient solubilization, and stress tolerance enhancement[3]. Recent progress in Trichoderma-based formulations has led to innovative materials, advanced nanotechnology strategies, and genetic engineering techniques aimed at boosting stability, shelf life, and efficacy[4]. Among these advancements, biochar has shown promise as an ideal carrier for Trichoderma formulations due to its high porosity, surface area, and soil stability maintenance abilities[6]. New research indicates that biochar can strengthen Trichoderma's biocontrol properties[7,8]. Experiments show that using Trichoderma bio-fungicides on soil blended with biochar is more effective in fungal disease control than on unamended earth[9]. Likewise, applying these bio-fungicides on biochar-coated seeds provides better resistance against fungal diseases in seedlings[7,10]. Such biotechnological advancements in Trichoderma-based formulations can promote sustainable agricultural practices by reducing reliance on chemical pesticides[11]. This, in turn, helps mitigate the ecological impact of agricultural activities and enhances food and feed safety[12]. By protecting plants from fungal diseases and improving soil fertility, Trichoderma-based bio-fungicides hold promise for enhancing crop yield[1]. Trichoderma formulations play a crucial role in minimizing harm to non-target organisms while maximizing the effectiveness of the active ingredient[13]. While Trichoderma is significant in ensuring agronomic safety, challenges in their formulation persist due to potential degradation of the biomass or bioactive metabolite caused by factors like exposure to air, light, and temperature[14]. Additionally, these products need to be easy to handle, apply, and produce[15,16]. To address this objective, the present study aims to offer a comprehensive examination of various technological advancements that enhance the efficiency of natural preparations. Distinguishing itself from typical literature reviews that predominantly delve into the biological attributes of metabolites, this review incorporates a bibliometric analysis of biopesticides and their formulations[17]. This analysis employs quantitative and statistical indicators to identify patterns related to the most critical pest issues, agriculture's susceptibility, sources of biological control, innovative methodologies, and the current status of Trichoderma formulations. The insights presented in this analysis significantly contribute to the bibliometric methodology, potentially promoting positive strides in the advancement of technology for Trichoderma formulation. Additionally, it offers valuable suggestions for researchers engaged in this field.

    Bibliometric analysis is a technique employed to scrutinize the characteristics and evolving patterns within academic literature using various mathematical and statistical methods[10]. Through this approach, we can quantitatively assess the overall state of the literature, collaborative relationships, research areas of interest, and the development trends in a specific research field[18]. A descriptive analysis of the corpus of published research pertaining to Trichoderma formulations was conducted. This analysis entailed the examination of co-occurring terms within the body of published articles, allowing for the elucidation of evolutionary trends in scientific themes[19]. The fundamental aim of this research is to conduct an exhaustive review of the existing body of literature on Trichoderma formulations and to project the areas of highest interest and potential for future investigation[20]. One of the primary objectives of bibliometric analysis is to assess the trends in research related to Trichoderma formulations, and to identify the most influential authors and institutions in the field of Trichoderma research. Determining the impact of research in terms of citations, patents, or applications in real-world scenarios.

    As a result, this study seeks to investigate the following research objectives: In the field of Trichoderma formulations, what are the key research themes and trends observed from 2016 to 2023 include:

    (1) How is research on Trichoderma formulations distributed geographically, and what regions exhibit the most active contributions to the field? (2) Can bibliometric analysis predict future trends and potential innovations in Trichoderma formulations research based on historical patterns? (3) The article follows a well organised structure[21]. Initially the research methodology adopted for the study is outlined. Subsequently, a well-organized article is crucial for effectively communicating research findings to the intended audience[22].

    Literature retrieval was performed online through the Science Citation Index Expanded (SCI-E) of the Web of Science Core Collection (WoSCC, Clarivate Analytics) from 2016 to 2023[21,22]. Scopus is a preferred data source for bibliometric analysis, and it provides comprehensive information and data from a multi-disciplinary field of literature[23]. To retrieve literature comprehensively and accurately on Trichoderma formulations, different search terms and retrieval strategies were assembled in this study. Finally, the optimal search items were set as follows: TS = ('Trichoderma formulation*') OR ('Bio formulation of Trichoderma*') OR ('Bio control') OR ('Antagonist') OR ('Rhizosphere fungus')[24]. The data range was set from 2016 to 2023, to collect all relevant publications. It is worth noting that as the Scopus database data network is constantly updated, the results may vary depending on the exact retrieval date.

    A detailed literature retrieval process was performed online through Science Citation Index Expanded (SCI-E) of the Web of Science Core Collection (WoSCC, Clarivate Analytics) from 2016 to 2023, and considered Scopus as a preferred data source for bibliometric analysis. Additionally, we outlined the search terms and retrieval strategies that are used in our study and set the range of data from 2016 to 2023 to collect all relevant publications. If we sum up our descriptions narrate on the following key points, like data sources, search terms, data range, constantly updated data base, and optimal search items[25]. The search strategy was designed to capture relevant literature on Trichoderma formulations. The search terms included Trichoderma formulation, bio-formulation of Trichoderma, biocontrol, antagonist and Rhizosphere fungus. The asterisks, in the search terms are used as wildcard characters to capture different word endings. The data range was set from 2016 to 2023 to collect all relevant publications within that timeframe. This was the period during which the literature retrieval was performed[25]. It is mentioned that as the Scopus database data network is constantly updated, and the results may vary depending on the exact retrieval date. This indicates that the study acknowledged the dynamic nature of the database and its potential impact on the results[26]. After assembling different search terms and retrieval strategies, the study determined the optimal search items, which were the selected search terms that would yield the most comprehensive and accurate results for the study's objectives. Overall, the present study took a systematic approach to literature retrieval, considering multiple data sources and employing a combination of search terms to ensure the retrieval of relevant publications on Trichoderma formulations. It is worth noting that as the Scopus database data network is constantly updated, to add upon, the results may vary depending on the exact retrieval date.

    To ensure the credibility of the research conclusions, this study gathered peer-reviewed English journal articles to summarize global research perspectives. It's important to mention that articles not aligned with this paper's purpose were manually omitted in the final phase of data collection[27]. For instance, some articles explored the relationship between plants and microorganisms on leaves. Eventually, a total of 287 articles that met all criteria were sourced from Scopus. These pieces represented almost all top-tier experimental studies on Trichoderma formulations from 2016 to 2023 worldwide. The variability among these articles could effectively indicate the trend of related research development. Therefore, these publications were prioritized for further analysis and assessment. Figure 1 illustrates the flowchart of the literature retrieved in this study[28].

    Figure 1.  Flow chart of literature review methodology.

    Table 1 presents the top 10 countries/regions, institutions, authors, and journals that published the most studies on Trichoderma formulations. As indicated in Table 1, China emerged as the country making the most significant contribution, with 1,231 publications, accounting for 20.33% of the total. India and Pakistan followed closely, ranking second and third, with 1,096 (18.10%) and 618 (10.20%) publications, respectively. Among the institutions, the Chinese Academy of Sciences held the top spot, boasting 160 (2.64%) publications. Following closely was the University of Agriculture, Faisalabad (144, 2.37%), and Nanjing Agricultural University (137, 2.26%). In the realm of scholarly contributions, prolific authors often set the tone for research trends. Identifying these influential scholars can shed light on the direction of the research field[29]. The leading author in the study of rhizosphere microorganisms was Wang Y, with 102 publications. Li Y, Zhang Y, and Hkan M were also highly prolific, each publishing nearly 90 studies. These works were predominantly featured in prominent journals in Ecology and Botany, such as Frontiers in Microbiology (3.73%), Frontiers in Plant Science (2.36%), and Plant and Soil (2.03%).

    Table 1.  Leading journals contributing to the existing body of knowledge in the field of formulation of Trichoderma.
    Sl. no. Name of journal No. of publication Citations
    1 Journal of Applied Microbiology 2 40
    2 Applied Microbiology and Biotechnology 2 16
    3 Indian Phytopathology 3 2
    4 Biological Control 2 59
    5 Crop Protection 2 30
    6 Frontiers in Microbiology 2 23
    7 Journal of Biological Control 2 1
    8 Medicinal Plants 2 5
     | Show Table
    DownLoad: CSV

    The analysis of scientific production on Trichoderma formulations demonstrated the trend of publications per year on Trichoderma formulation studies. It was observed that published research showed a significant increase of 71.24% over the last decade (2016–2023) (Fig. 1). The increasing trend is possibly related to economic support from government programs, since funding for innovative, sustainable, and ecological research is being considered to meet the demand for food and mitigate environmental pollution[30]. Figure 2 illustrates a co-citation map of authors collaborating in the field of Trichoderma formulation. The purpose of conducting this co-citation analysis is to visually portray the knowledge base of the specific area of review. The analysis identifies three distinct clusters, each represented by different colored nodes: blue, red, and green. The green cluster stands out as it is associated with Harman, who has the highest collaboration, working with nine researchers on Trichoderma formulation research. The red cluster, on the other hand, signifies the second-highest collaboration, led by Mukherjee et al.[31] with six researchers. Lastly, the pink cluster represents the lowest level of collaboration among researchers, with only two researchers working together in this area.

    Figure 2.  Co-citation analysis of cited authors as the unit of analysis in the field of Trichoderma formulation.

    Table 2 showcases the country–wise citation analysis, and the series presented here seems to have large variability in distribution. In terms of total citations of studies dedicated to Trichoderma formulations. Citations count of articles by country as a unit of analysis represents the popularity of a field of research in a particular region. India with 20 publications having 115 citations topped the list and, therefore, is the most impactful country contributing to the existing body of knowledge in the said domain followed by Italy with four publications having 69 citations and Brazil with three publications having 51 citations. From the viewpoint of the total number of publications, India holds first position, having 20 publications, followed by Italy having four publications.

    Table 2.  Leading countries contributing to the existing body of knowledge in the field of formulation of Trichoderma.
    Sl. no. Country No. of publication Citations
    1 Argentina 1 20
    2 Belgium 2 30
    3 Brazil 3 51
    4 China 2 82
    5 Croatia 1 30
    6 Finland 1 37
    7 India 20 115
    8 Italy 4 69
    9 New Zealand 2 21
    10 Portugal 1 67
    11 South korea 1 54
     | Show Table
    DownLoad: CSV

    The top researchers working in the field of Trichoderma formulation are presented in Table 2. The authors' citation count represents the recognition of their research work in a particular field of research. It is quite clear from the list of 13 author's citations that all the authors have at least 10 citations to their name based on the total citation count. Among the 13 authors Park et al.[32] has the highest number of citations of 57 followed by Herrera-Téllez et al.[33] having 47 and Hewedy et al.[34] having 44 citations. The analysis of bibliographic coupling in the Trichoderma formulation domain is represented in Fig. 3. This technique utilizes references from existing publications to elucidate the relevant literature[35]. For this study, five thematic clusters have been identified, labeled green, red, blue, yellow, and purple. Among these interconnected groups, India stands out as the country with the most extensive collaboration network, linked with 15 other countries. Given that India also holds the highest number of published documents (115), it was anticipated to be the central node in this cooperation network. The findings demonstrate the strong relationships between researchers and their respective institutional affiliations, emphasizing the scientific cooperation aimed at developing sustainable and ecologically sound strategies for crop protection in a competitive manner[36].

    Figure 3.  Bibliographic coupling of articles in the field of Trichoderma formulation.

    In Fig. 4, a co-occurrence analysis of keywords with a minimum threshold of five occurrences is displayed. The network illustrates the most frequently utilized terms within the 'Trichoderma formulation' research domain, capturing the essence of the article's core content. The prevalence of these keywords can be indicative of the research direction and content within this specific field[37]. This analysis allows for the identification of developmental trends within a field and a comprehensive understanding of its current research status[38]. The co-occurrence graph of keywords reveals a total of four co-occurrence clusters (Fig. 4), encompassing themes like biocontrol, formulation, Trichoderma, and shelf life. Each cluster is further examined below, providing an in-depth portrayal of the prominent topics within the Trichoderma formulations landscape during the research period. Annual publication number leading years contributing to the existing body of knowledge in the field of formulation of Trichoderma is presented in Table 3.

    Figure 4.  Co-occurrence analysis based upon keywords from articles in the field of Trichoderma formulation.
    Table 3.  Annual publication number leading years contributing to the existing body of knowledge in the field of formulation of Trichoderma.
    Sl. no. Year No. of publication
    1 2016 8
    2 2017 13
    3 2018 21
    4 2019 16
    5 2020 20
    6 2021 17
    7 2022 15
    8 2023 8
     | Show Table
    DownLoad: CSV

    The shift in annual publication counts serves as a vital benchmark for gauging the progress of a research field, lending insights into potential development trends[28]. Figure 4 provides a clear portrayal of the publication distribution in Trichoderma formulation from 2016 to 2023, illustrating a noticeable increase in annual article output. This surge suggests a heightened interest in the field over the past few years. Scientific research fields typically undergo a four-stage evolution[39] ; (1) the inception phase, characterized by the introduction of novel research areas or directions by notable scientists; (2) the expansion phase, where scientists gravitate toward the emerging research direction, leading to a proliferation of discussion topics; (3) the stabilization phase, marked by the amalgamation of new knowledge to form a distinct research context; and (4) the contraction phase, in which the number of new publications diminishes. Notably, the research on Trichoderma formulation seems to be currently in the expansion phase[40].

    The publication pattern reveals a growing research interest in Trichoderma formulations, a relatively new field that is attracting increasing enthusiasm among scholars. Notably, the top contributors to this area, as identified through VOS viewer analysis, include key individuals, organizations, sources, and countries. Park emerges as the leading author based on citation count, followed by Herrera-Téllez and Hewedy. China, Portugal, Italy, and South Korea are recognized as major contributors to research in this field, as reflected in their citation counts. Conversely, India leads in terms of document count, demonstrating a significant contribution to the literature.

    Co-citation and bibliographic coupling analyses have identified three distinct thematic clusters. In the co-citation analysis, these clusters relate to application methods, types of Trichoderma formulations, and their biocontrol efficacy. Additionally, insights from the bibliometric analysis of biopesticide formulations have facilitated the integration of methods and strategies aimed at enhancing the effectiveness of Trichoderma formulations.

    This paper conducts a bibliometric analysis to critically examine articles related to biological control, focusing specifically on those published in various indexed journals, and offers a comprehensive overview of the evolution of Trichoderma formulations over time. The primary objective of this research is to investigate and characterize the key literature on this topic, covering historical, current, and emerging developments in this dynamic field. Bibliometric techniques are employed to visualize the Trichoderma formulation landscape.

    To achieve this goal, the study analyses a dataset of articles obtained from the core collection databases of Scopus and Web of Science. Within the scope of this study, significant publications on Trichoderma formulations are meticulously reviewed to highlight the potential trajectory of Trichoderma's role in biological disease control in plants. The study identifies and examines the various developmental phases of Trichoderma formulations, offering a comprehensive analysis that can shape the future of this critical research area. Given the scarcity of comprehensive bibliometric studies on Trichoderma formulation research, this study seeks to fill this gap, making a significant contribution to the extensive readership interested in Trichoderma.

    This study has several limitations and challenges that must be considered by future researchers. First, the study relies on a single database, which could restrict the amount of available data. Additionally, the search criteria were limited to research articles, and only those with specific phrases in the title were included, which may not represent the complete dataset. However, Trichoderma's biological control mechanisms against plant fungal and nematode diseases involve various strategies, including competition, antibiosis, antagonism, and mycoparasitism. In addition to these, Trichoderma enhances plant growth and induces systemic resistance in plants, making it effective in controlling a wide range of plant fungal and nematode diseases[41]. Although biological control is effective, it generally requires time to become established in the environment, making it a slower process. Therefore, optimizing the formulation of Trichoderma-based products is essential to ensure their stability and efficacy. It is important to ensure that these formulations are compatible with other agricultural treatments, such as chemical fertilizers and pesticides, to maximize their overall effectiveness. Proper formulation can improve the shelf life, ease of application, and survival of Trichoderma under varying environmental conditions. Ongoing research is necessary to refine these formulations for broader application in integrated pest management programs[42]. This is a significant limitation as the analysis was restricted to articles published in journals, excluding other valuable sources like reviews, conferences, books, and book chapters. To overcome this limitation, future researchers should consider utilizing additional databases such as Scopus and Science Direct, which can provide more comprehensive data. This limitation may have impacted the study's ability to provide a comprehensive overview of the field.

    The authors confirm contribution to the paper as follows: conceptualization: Kumar V, Mishra KK, Panda SR; writing − original draft preparation: Kumar V, Wagh AK, Mishra KK; writing − review and editing: Panda SR, Kumar V, Wagh AK; supervision: Kumar V, Panda SR, All authors have read and agreed to the published version of the manuscript.

    The data that support the findings of this study are available on request from the corresponding authors.

  • The authors declare that they have no conflict of interest.

  • [1]

    Bongiorno PB, Fratellone PM, LoGiudice P. 2008. Potential health benefits of garlic (Allium sativum): A narrative review. Journal of Complementary and Integrative Medicine 5:1−24

    doi: 10.2202/1553-3840.1084

    CrossRef   Google Scholar

    [2]

    Najda A, Błaszczyk L, Winiarczyk K, Dyduch J, Tchórzewska D. 2016. Comparative studies of nutritional and health-enhancing properties in the "garlic-like" plant Allium ampeloprasum var. ampeloprasum (GHG-L) and A. sativum. Scientia Horticulturae 201:247−55

    doi: 10.1016/j.scienta.2016.01.044

    CrossRef   Google Scholar

    [3]

    Sahidur MR, Islam S, Jahurul MHA. 2023. Garlic (Allium sativum) as a natural antidote or a protective agent against diseases and toxicities: A critical review. Food Chemistry Advances 3:e100353

    doi: 10.1016/j.focha.2023.100353

    CrossRef   Google Scholar

    [4]

    Kim S, Kim DB, Jin W, Park J, Yoon W, et al. 2018. Comparative studies of bioactive organosulphur compounds and antioxidant activities in garlic (Allium sativum L.), elephant garlic (Allium ampeloprasum L.) and onion (Allium cepa L.). Natural Product Research 32:1193−97

    doi: 10.1080/14786419.2017.1323211

    CrossRef   Google Scholar

    [5]

    Painter R, Wszelaki A, Washburn D, Bruce N. 2024. Garlic and Elephant Garlic. Center for Crop Diversification, University of Kentucky College of Agriculture, Food and Environment, USA. https://ccd.uky.edu/resources/crops/vegetables/garlic

    [6]

    FAOSTAT. 2022. Crop and livestock products. http://fao.org/faostat/en/#data/QCL (Accessed 25 March 2024

    [7]

    Mishra RK, Jaiswal RK, Kumar D, Saabale PR, Singh A. 2014. Management of major diseases and insect pests of onion and garlic: A comprehensive review. Journal of Plant Breeding and Crop Science 6:160−170

    doi: 10.5897/JPBCS2014.0467

    CrossRef   Google Scholar

    [8]

    Mondani L, Chiusa G, Battilani P. 2021. Fungi associated with garlic during the cropping season, with focus on Fusarium proliferatum and F. oxysporum. Plant Health Progress 22:37−46

    doi: 10.1094/php-06-20-0054-rs

    CrossRef   Google Scholar

    [9]

    Anum H, Tong Y, Cheng R. 2024. Different preharvest diseases in garlic and their eco-friendly management strategies. Plants 13:e267

    doi: 10.3390/plants13020267

    CrossRef   Google Scholar

    [10]

    Schwartz HF, Mohan SK. 2008. Compendium of Onion and Garlic Diseases and Pests. 2nd Edition. Saint Paul, Minnesota, USA: American Phytopathological Society. 136 pp. doi: 10.1094/9780890545003

    [11]

    Overy DP, Frisvad JC, Steinmeier U, Thrane U. 2005. Clarification of the agents causing blue mold storage rot upon various flower and vegetable bulbs: implications for mycotoxin contamination. Postharvest Biology and Technology 35:217−21

    doi: 10.1016/j.postharvbio.2004.08.001

    CrossRef   Google Scholar

    [12]

    Dugan FM, Hellier BC, Lupien SL. 2007. Pathogenic fungi in garlic seed cloves from the United States and China, and effcacy of fungicides against pathogens in garlic germplasm in Washington State. Journal of Phytopathology 155:437−45

    doi: 10.1111/j.1439-0434.2007.01255.x

    CrossRef   Google Scholar

    [13]

    Dugan FM, Lupien SL, Vahling-Armstrong CM, Chastagner GA, Schroeder BK. 2017. Host ranges of Penicillium species causing blue mold of bulb crops in Washington State and Idaho. Crop Protection 96:265−72

    doi: 10.1016/j.cropro.2017.03.002

    CrossRef   Google Scholar

    [14]

    Dugan FM, Strausbaugh CA. 2019. Catalog of Penicillium spp. causing blue mold of bulbs, roots, and tubers. Mycotaxon 134:197−213

    doi: 10.5248/134.197

    CrossRef   Google Scholar

    [15]

    Salinas MC, Cavagnaro PF. 2020. In vivo and in vitro screening for resistance against Penicillium allii in garlic accessions. European Journal of Plant Pathology 156:173−187

    doi: 10.1007/s10658-019-01875-z

    CrossRef   Google Scholar

    [16]

    Office of Agricultural Economics. 2024. Garlic percent product 67. www.frac.info (Accessed 4 November 2024

    [17]

    Choi YW, Hyde KD, Ho WH. 1999. Single spore isolation of fungi. Fungal Diversity 3:29−38

    Google Scholar

    [18]

    White TJ, Bruns T, Lee S, Taylor J. 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR Protocols: A Guide to Methods and Applications, eds. Innis MA, Gelfand DH, Sninsky JJ, White TJ. New York: Academic Press. pp. 315−22. doi: 10.1016/b978-0-12-372180-8.50042-1

    [19]

    Glass NL, Donaldson GC. 1995. Development of primer sets designed for use with the PCR to amplify conserved genes from filamentous ascomycetes. Applied and Environmental Microbiology 61:1323−30

    doi: 10.1128/aem.61.4.1323-1330.1995

    CrossRef   Google Scholar

    [20]

    Peterson SW, Vega FE, Posada F, Nagai C. 2005. Penicillium coffeae, a new endophytic species isolated from a coffee plant and its phylogenetic relationship to P. fellutanum, P. thiersii and P. brocae based on parsimony analysis of multilocus DNA sequences. Mycologia 97:659−66

    doi: 10.1080/15572536.2006.11832796

    CrossRef   Google Scholar

    [21]

    Liu YJ, Whelen S, Hall BD. 1999. Phylogenetic relationships among ascomycetes: evidence from an RNA polymerse II subunit. Molecular Biology and Evolution 16:1799−808

    doi: 10.1093/oxfordjournals.molbev.a026092

    CrossRef   Google Scholar

    [22]

    Edgar RC. 2004. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research 32:1792−97

    doi: 10.1093/nar/gkh340

    CrossRef   Google Scholar

    [23]

    Hall T. 1999. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposium Series 41:95−98

    Google Scholar

    [24]

    Felsenstein J. 1985. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39:783−91

    doi: 10.2307/2408678

    CrossRef   Google Scholar

    [25]

    Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312−13

    doi: 10.1093/bioinformatics/btu033

    CrossRef   Google Scholar

    [26]

    Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, et al. 2012. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology 61:539−42

    doi: 10.1093/sysbio/sys029

    CrossRef   Google Scholar

    [27]

    Darriba D, Taboada GL, Doallo R, Posada D. 2012. jModelTest 2: more models, new heuristics and parallel computing. Nature Methods 9:772

    doi: 10.1038/nmeth.2109

    CrossRef   Google Scholar

    [28]

    Rambaut A. 2014. FigTree. Version 1.4. 2. University of Edinburgh, Edinburgh, UK. http://tree.bio.ed.ac.uk/software/Figtree/

    [29]

    Khuna S, Kumla J, Srinuanpan S, Lumyong S, Suwannarach N. 2023. Multifarious characterization and efficacy of three phosphate-solubilizing Aspergillus species as biostimulants in improving root induction of cassava and sugarcane stem cuttings. Plants 12:3630

    doi: 10.3390/plants12203630

    CrossRef   Google Scholar

    [30]

    Suwannarach N, Khuna S, Thitla T, Senwanna C, Nuangmek W, et al. 2024. Morpho-phylogenetic identification and characterization of new causal agents of Fusarium species for postharvest fruit rot disease of muskmelon in northern Thailand and their sensitivity to fungicides. Frontiers in Plant Science 15:e1459759

    doi: 10.3389/fpls.2024.1459759

    CrossRef   Google Scholar

    [31]

    Pandey AK, Hubballi M, Sharma HK, Ramesh R, Roy S, et al. 2024. Molecular delineation and genetic diversity of Fusarium species complex causing tea dieback in India and their sensitivity to fungicides. Crop Protection 181:e106707

    doi: 10.1016/j.cropro.2024.106707

    CrossRef   Google Scholar

    [32]

    Frisvad JC, Samson RA. 2004. Polyphasic taxonomy of Penicillium subgenus Penicillium: a guide to identification of food and air-borne terverticillate Penicillia and their mycotoxins. Studies in Mycology 49:1−174

    Google Scholar

    [33]

    Houbraken J, Samson RA. 2011. Phylogeny of Penicillium and the segregation of Trichocomaceae into three families. Studies in Mycology 70:1−51

    doi: 10.3114/sim.2011.70.01

    CrossRef   Google Scholar

    [34]

    Houbraken J, Kocsubé S, Visagie CM, Yilmaz N, Wang XC, et al. 2020. Classification of Aspergillus, Penicillium, Talaromyces and related genera (Eurotiales): an overview of families, genera, subgenera, sections, series and species. Studies in Mycology 95:5−169

    doi: 10.1016/j.simyco.2020.05.002

    CrossRef   Google Scholar

    [35]

    Visagie CM, Houbraken J, Frisvad JC, Hong SB, Klaassen CHW, et al. 2014. Identification and nomenclature of the genus Penicillium. Studies in Mycology 78:343−371

    doi: 10.1016/j.simyco.2014.09.001

    CrossRef   Google Scholar

    [36]

    Cavagnaro PF, Camargo A, Piccolo, RJ, Lampasona SG, Burba JL, et al. 2005. Resistance to Penicillium hirsutum Dierckx in garlic accessions. European Journal of Plant Pathology 112:195−199

    doi: 10.1007/s10658-005-1750-6

    CrossRef   Google Scholar

    [37]

    Visagie CM, Yilmaz N. 2023. Along the footpath of Penicillium discovery: six new species from the Woodville big tree Forest Trail. Mycologia 115:87−106

    doi: 10.1080/00275514.2022.2135915

    CrossRef   Google Scholar

    [38]

    Bashir U, Javed S, Anwar W, Nawaz K, Hafeez R. 2017. First report of Penicillium polonicum causing blue mold on stored garlic (Allium sativum) in Pakistan. Plant Disease 101:1037−38

    doi: 10.1094/pdis-07-16-1069-pdn

    CrossRef   Google Scholar

    [39]

    Valdez JG, Makuch MA, Ordovini AF, Masuelli RW, Overy DP, et al. 2006. First report of Penicillium allii as a field pathogen of garlic (Allium sativum). Plant Pathology 55:e583

    doi: 10.1111/j.1365-3059.2006.01411.x

    CrossRef   Google Scholar

    [40]

    Valdez JG, Makuch MA, Ordovini AF, Frisvad JC, Overy DP, et al. 2009. Identification, pathogenicity and distribution of Penicillium spp. isolated from garlic in two regions in Argentina. Plant Pathology 58:352−61

    doi: 10.1111/j.1365-3059.2008.01960.x

    CrossRef   Google Scholar

    [41]

    Kim YK, Hong SJ, Jee JJ, Park JH, Han EJ, et al. 2010. Biological control of garlic blue mold using Pantoea agglomerans S59-4. The Korean Journal of Pesticide Science 14:148−56

    Google Scholar

    [42]

    Stošić S, Ristić D, Trkulja N, Živković S. 2024. Penicillium species associated with postharvest blue mold rots of garlic in Serbia. Plant Disease 101:e6

    doi: 10.1094/PDIS-04-24-0890-RE

    CrossRef   Google Scholar

    [43]

    Tini F, Beccari G, Terzaroli N, Berna E, Covarelli L, et al. 2024. Phytosanitary problems in elephant garlic (Allium ampeloprasum var. holmense) in the "Val di Chiana" area (Central Italy), and evaluation of potential control strategies. Phytopathologia Mediterranea 63:53−72

    doi: 10.36253/phyto-14911

    CrossRef   Google Scholar

    [44]

    Sharma K, Raj H, Sharma A. 2019. In vitro evaluation of safer fungicides in management of Penicillium digitaum causing green mould of Kinnow. Journal of Pharmacognosy and Phytochemistry 8:1291−94

    Google Scholar

    [45]

    Ghuffar S, Irshad G, Naz F, Khan MA. 2021. Studies of Penicillium species associated with blue mold disease of grapes and management through plant essential oils as non-hazardous botanical fungicides. Green Processing and Synthesis 10:21−36

    doi: 10.1515/gps-2021-0007

    CrossRef   Google Scholar

    [46]

    Zhang Y, Zhang B, Luo C, Fu Y, Zhu F. 2021. Fungicidal actions and resistance mechanisms of prochloraz to Penicillium digitatum. Plant Disease 105:408−15

    doi: 10.1094/PDIS-05-20-1128-RE

    CrossRef   Google Scholar

    [47]

    Jurick WM, Macarisin O, Gaskins VL, Janisiewicz WJ, Peter KA, et al. 2019. Baseline sensitivity of Penicillium spp. to difenoconazole. Plant Disease 103:331−37

    doi: 10.1094/PDIS-05-18-0860-RE

    CrossRef   Google Scholar

    [48]

    Khadiri M, Boubaker H, Farhaoui A, Ezrari S, Radi M, et al. 2024. In vitro assessment of Penicillium expansum sensitivity to difenoconazole. Microorganisms 12:e2169

    doi: 10.3390/microorganisms12112169

    CrossRef   Google Scholar

    [49]

    Gálvez L, Palmero D. 2022. Fusarium dry rot of garlic bulbs caused by Fusarium proliferatum: a review. Horticulturae 8:628

    doi: 10.3390/horticulturae8070628

    CrossRef   Google Scholar

    [50]

    FRAC. 2020. Fungal control agents sorted by cross resistance pattern and mode of action. www.frac.info (Accessed 3 November 2024

    [51]

    Yin Y, Miao J, Shao W, Liu X, Zhao Y, et al. 2023. Fungicide resistance: progress in understanding mechanism, monitoring, and management. Phytopathology 113:707−18

    doi: 10.1094/PHYTO-10-22-0370-KD

    CrossRef   Google Scholar

    [52]

    Deising HB, Reimann S, Pascholati SF. 2008. Mechanisms and significance of fungicide resistance. Brazilian Journal of Microbiology 39:286−95

    doi: 10.1590/S1517-83822008000200017

    CrossRef   Google Scholar

    [53]

    Corkley I, Fraaije B, Hawkins N. 2022. Fungicide resistance management: maximizing the effective life of plant protection products. Plant Pathology 71:150−69

    doi: 10.1111/ppa.13467

    CrossRef   Google Scholar

    [54]

    Davies CR, Wohlgemuth F, Young T, Violet J, Dickinson M, et al. 2021. Evolving challenges and strategies for fungal control in the food supply chain. Fungal Biology Reviews 36:15−26

    doi: 10.1016/j.fbr.2021.01.003

    CrossRef   Google Scholar

  • Cite this article

    Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Nuangmek W, et al. 2024. Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand. Studies in Fungi 9: e015 doi: 10.48130/sif-0024-0015
    Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Nuangmek W, et al. 2024. Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand. Studies in Fungi 9: e015 doi: 10.48130/sif-0024-0015

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Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand

Studies in Fungi  9 Article number: e015  (2024)  |  Cite this article

Abstract: Blue mold disease is one of the most important postharvest diseases affecting garlic bulbs. In 2023, this disease was found on bulbs of elephant garlic [Allium ampeloprasum var. ampeloprasum (Borrer) Syme] in Chiang Mai Province, Thailand, during the postharvest storage period. Three fungal isolates were obtained and identified as Penicillium allii based on morphological characteristics and phylogenetic analysis of combined sequences of the internal transcribed spacer (ITS) of ribosomal DNA, β-tubulin (BenA), calmodulin (CaM), and RNA polymerase II second largest subunit (rpb2) genes. In the pathogenicity test, garlic bulbs inoculated with the isolated fungi exhibited symptoms similar to those observed during the postharvest storage period. In the fungicide screening test, carbendazim, difenoconazole + azoxystrobin, and difenoconazole effectively completely inhibited this fungus at both half and recommended dosages, while the fungus showed insensitivity to captan and mancozeb. Additionally, double-recommended dosages of carbendazim, copper oxychloride, difenoconazole combined with azoxystrobin, and difenoconazole alone exhibited complete inhibition of the fungus. To the best of our knowledge, this is the first report of postharvest blue mold disease on elephant garlic bulbs caused by P. allii in Thailand. Furthermore, the results of the fungicide sensitivity screening could help in developing effective management strategies for controlling postharvest blue mold disease on elephant garlic bulbs caused by P. allii.

    • Garlic (Allium spp.), especially the bulb, is commonly consumed and valued for both culinary and medicinal purposes due to its nutritional richness and numerous beneficial bioactive compounds essential for human health[13]. Elephant garlic [Allium ampeloprasum var. ampeloprasum (Borrer) Syme], hardneck garlic [A. sativum var. ophioscorodon (Link) Döll], and softneck garlic (A. sativum var. sativum L.) are popular varieties that have been cultivated worldwide[4,5]. In 2022, global garlic production reached 2.91 million tons, valued at 3.43 billion USD. China was the largest producer, contributing 2.13 million tons (73% of world production), followed by India with 0.3 million tons, Bangladesh with 0.05 million tons, and Egypt with 0.03 million tons[6]. Myanmar is the top garlic producer in Southeast Asia followed by Thailand and Indonesia[6]. At every stage of growth, harvesting, and post-harvest storage, garlic is susceptible to various diseases caused by bacteria, fungi, and viruses[79]. Diseases can significantly damage garlic bulb production and quality[9,10]. Blue mold disease, caused by Penicillium species, is a common issue affecting garlic bulbs during both the cultivation process and postharvest storage[9,1114]. This disease can lead to significant customer dissatisfaction and economic losses in garlic production worldwide[9,11,14,15].

      In Thailand, the northern part is the main region for garlic cultivation[16]. Nowadays, elephant garlic is a significant vegetable crop extensively cultivated in Thailand. Thus, the area of plantations used for growing garlic has significantly increased in Thailand. However, the incidence and severity of diseases have also increased when plants are grown in sub-optimal areas and unsuitable storage conditions. In 2023, blue mold disease caused by fungi was observed on elephant garlic bulbs during the storage period in Chiang Mai Province in Thailand, with a degree of incidence within the range of 20% to 30%. Importantly, there had been no prior reports of blue mold disease on elephant garlic bulbs in Thailand. Therefore, the objective of this study was to isolate the causal fungal agents of this disease. The isolated fungi were identified using both morphological and molecular data. Pathogenicity tests were conducted, and Koch's postulates were applied to assess the effects of the isolated fungi on asymptomatic elephant garlic bulbs. Moreover, the sensitivity of the isolated fungi to several commercial fungicides was investigated using solid culture techniques.

    • Blue mold disease was observed on elephant garlic bulbs (A. ampeloprasum var. ampeloprasum) throughout the postharvest storage at 25 to 30 °C and 65% to 75% relative humidity over a period of 7 to 14 d in Chiang Mai Province, northern Thailand in 2023 (March to April). Garlic bulbs exhibiting typical symptoms were collected from postharvest storage stores and shipped to the laboratory within 24 h. After being transferred to the laboratory, symptomatic bulbs were examined using a stereo microscope (Nikon H55OS, Tokyo, Japan) and stored in a plastic container with moist filter paper to promote fungal sporulation.

    • Samples of bulb disease were processed to isolate the fungal causal agents. The single conidial isolation method described by Choi et al.[17] was used to isolate the causal fungi from the lesions. This process was conducted on 1.0% water agar containing 0.5 mg/L streptomycin. The individual germinated conidia were observed after incubation at 25 °C for 24–48 h and then transferred directly onto potato dextrose agar (PDA; CONDA, Madrid, Spain) supplemented with 0.5 mg/L streptomycin under a stereo microscope. Pure cultures were deposited in the Culture Collection of Sustainable Development of Biological Resources (SDBR) Laboratory, Faculty of Science, Chiang Mai University, Thailand. The characteristics of the fungal colonies, including colony morphology, pigmentation, and odor, were examined on PDA, Czapek yeast extract agar (CYA), and malt extract agar (MEA; Difco, France) after incubation in the dark for 7 d at 25 °C. Micromorphological characteristics were assessed using a light microscope (Nikon Eclipse Ni-U, Tokyo, Japan). The Tarosoft® Image Frame Work software was used to measure at least 50 samples for each anatomical structure (such as conidiophores, phialides, and conidia).

    • Genomic DNA was extracted from the fungal cultures of each isolate that grew on PDA at 25 °C for 5 d, using a Fungal DNA Extraction Kit (FAVORGEN, Ping-Tung, Taiwan) according to the manufacturer's protocol. Amplification of the internal transcribed spacer (ITS) of ribosomal DNA, β-tubulin (BenA), calmodulin (CaM), and RNA polymerase II second largest subunit (rpb2) genes using ITS5/ITS4[18], Bt2a/Bt2b[19], CF1/CF4[20], and RPB2-5F/RPB2-7CR[21], respectively. The PCR for these four genes was conducted in separate PCR reactions and consisted of an initial denaturation at 95 °C for 3 min, followed by 35 cycles of denaturation at 95 °C for 30 s, annealing at 52 °C for 30 s (ITS and BenA); 51 °C for 1 min (CaM) and 52 °C for 1 min (rpb2), extension at 72 °C for 1 min, and final extension at 72 °C for 10 min on a peqSTAR thermal cycler (PEQLAB Ltd., Fareham, UK). PCR products were checked on 1% agarose gel electrophoresis and purified using a PCR clean-up Gel Extraction NucleoSpin® Gel and a PCR Clean-up Kit (Macherey-Nagel, Düren, Germany), according to the manufacturer's instructions. The purified PCR products were directly sequenced. Sequencing reactions were performed, and the above-mentioned PCR primers were employed to automatically determine the sequences in the Genetic Analyzer at the 1st Base Company (Kembangan, Malaysia).

    • The analysis of the ITS, BenA, CaM, and rpb2 sequences was conducted with the use of similarity searches employing the BLAST program available at NCBI (http://blast.ddbj.nig.ac.jp/top-e.html, accessed on 10 July 2024). The sequences from this study and those obtained from previous studies, together with sequences downloaded from the nucleotide GenBank database are listed in Table 1. Multiple sequence alignment was performed with MUSCLE[22] and improved where necessary using BioEdit v. 6.0.7[23]. Finally, the combination datasets of ITS, BenA, CaM, and rpb2 sequences were performed.

      Table 1.  Details of sequences in Penicillium section Fasciculata used in molecular phylogenetic analysis.

      Penicillium species Strain/isolate GenBank accession number
      ITS BenA CaM rpb2
      P. albocoremium CBS 472.84T AJ004819 AY674326 KUJ896819 KU904344
      P. allii CBS 131.89T AY674331 KU896820 KU904345
      P. allii SDBR-CMU499 PP998350 PQ032853 PQ032856 PQ032859
      P. allii SDBR-CMU500 PP998351 PQ032854 PQ032857 PQ032860
      P. allii SDBR-CMU501 PP998352 PQ032855 PQ032858 PQ032861
      P. aurantiogriseum CBS 324.89 AF033476 AY674296 KU896822 JN406573
      P. camemberti MUCL 29790T AB479314 FJ930956 KU896825 JN121484
      P. cavernicola CBS 100540T MH862709 KJ834439 KU896827 KU904348
      P. caseifulvum CBS 101134T MH862722 AY674372 KU896826 KU904347
      P. commune CBS 311.48T AY213672 AY674366 KU896829 KU904350
      P. concentricum CBS 477.75T KC411763 AY674413 DQ911131 KT900575
      P. coprobium CBS 561.90T DQ339559 AY674425 KU896830 KT900576
      P. discolor CBS 474.84T OW986149 AY674348 KU896834 KU904351
      P. echinulatum CBS 317.48T MH856364 AY674341 DQ911133 KU904352
      P. freii CBS 476.84T MH861769 KU896813 KU896836 KU904353
      P. gladioli CBS 332.48T AF033480 AY674287 KU896837 JN406567
      P. glandicola CBS 498.75T AB479308 AY674415 KU896838 KU904354
      P. griseofulvum CBS 185.27T AF033468 AY674432 JX996966 JN121449
      P. hirsutum CBS 135.41T AY373918 AF003243 KU896840 JN406629
      P. hordei CBS 701.68T MN431391 AY674347 KU896841 KU904355
      P. italicum CBS 339.48T KJ834509 AY674398 DQ911135
      P. melanoconidium CV1331 JX091410 JX091545 JX141587 KU904358
      P. neoechinulatum CBS 101135T JN942722 AF003237 KU896844 JN985406
      P. nordicum DTO 098-F7 KJ834513 KJ834476 KU896845 KU904359
      P. palitans CBS 107.11T KJ834514 KJ834480 KU896847 KU904360
      P. polonicum CBS 222.28T AF033475 AY674305 KU896848 JN406609
      P. solitum CBS 424.89T AY373932 AY674354 KU896851 KU904363
      P. thymicola CBS 111225T KJ834518 AY674321 FJ530990 KU904364
      P. tricolor CBS 635.93T MH862450 AY674313 KU896852 JN985422
      P. ulaiense CBS 210.92T KC411695 AY674408 KUB96854 KU904365
      P. verrucosum CBS 603.74T AY373938 AY674323 DQ911138 JN121539
      P. vulpinum CBS 126.23T AF506012 KJ834501 KU896857 KU904367
      Ex-type species are indicated by the superscript letters as 'T'. '−' indicates the absence of sequencing information in GenBank. The fungal isolates and sequences obtained in this study are in bold.

      For phylogenetic analyses, Penicillium italicum (CBS 339.48) and P. ulaiense (CBS 210.92) were selected as the outgroup. The maximum likelihood (ML) analysis was carried out using RAxML-HPC2 version 8.2.12 on the GTRCAT model with 25 categories and 1000 bootstrap (BS) replications[24,25] via the CIPRES web portal. Bayesian inference (BI) analysis was performed with MrBayes v. 3.2.6 software for Windows[26]. The best substitution model for BI analysis was estimated using the jModelTest 2.1.10[27] by employing the Akaike information criterion (AIC). Bayesian posterior probability (PP) was determined by Markov Chain Monte Carlo Sampling (MCMC). Four simultaneous Markov chains were run for a million generations with random initial trees, wherein every 100 generations were sampled. The first 25% of generated trees representing the burn-in phase of the analysis were eliminated, while the remaining trees were used for calculating PP in the majority-rule consensus tree. The phylogenetic trees were visualized using FigTree v1.4.0[28].

    • Conidia from fungal isolates cultivated for two weeks on PDA were used in this experiment. Healthy commercial elephant garlic bulbs were washed thoroughly, and then their surfaces were sterilized by soaking them for 5 min in a sterile sodium hypochlorite solution with a concentration of 1.5% (v/v). Following that, sterile distilled water was used to wash them three times. The bulbs were allowed to air-dry at room temperature (25 ± 2 °C) for 10 min after surface disinfection. Following the air-drying process, a quantity of 10 μL of a conidial suspension (1 × 106 conidia/mL) in sterile water from each fungal isolate was dropped onto each bulb. Consequently, sterile distilled water was used as an inoculant for the control. The inoculated bulbs were placed in individual 4 L sterile plastic boxes maintained at 80% relative humidity. These containers were kept in a growth chamber at a temperature of 25 °C under a 12-h light cycle for one week. A total of ten replicates were used for each treatment, which was repeated twice under the same conditions. The disease symptoms were observed. Confirmation of Koch's postulates was achieved by re-isolating the fungi through the isolation method from any lesions that occurred on the inoculated bulbs.

    • Seven commercially available fungicides, including benalaxyl-M (4%) + mancozeb (65%) (Fantic M WG®, Thailand), captan (Captan 50®, Thailand), carbendazim (Dazine®, Thailand), copper oxychloride (Copina 85 WP®, Thailand), difenoconazole (12.5%) + azoxystrobin (20%) (Ortiva®, Thailand), difenoconazole (Score®, Thailand), and mancozeb (Newthane M-80®, Thailand), were examined in this study according to the approach indicated through previous studies[29,30]. The fungicides used in this study were available commercially in Thailand and were approved for usage. The in vitro applications of benalaxyl-M + mancozeb, captan, carbendazim, copper oxychloride, difenoconazole + azoxystrobin, difenoconazole, and mancozeb were recommended at dosages of 1,380, 750, 750, 1,700, 243.75, 187.5, and 1,200 ppm, respectively, according to the labels for each fungicide. The final concentration was obtained by preparing each fungicide and adding it to an autoclaved PDA. Each fungicide was used in three different dosages: half-recommended, recommended, and double-recommended. The test media were inoculated with mycelial plugs (5 mm in diameter) that had been cultivated on PDA in the dark at 25 °C for one week. The control did not add any fungicide. The plates were maintained in darkness at a temperature of 25 °C. Following one week of incubation, the mycelial growth of each isolate was evaluated on individual plates and a comparison was made between the growth in PDA supplemented with fungicides and the growth observed in the control. The calculation of the percentage growth inhibition for each isolate was performed using the formula provided by Pandey et al.[31]. Each isolate was classified as sensitive (> 50% inhibition), insensitive (< 50% inhibition), or totally inhibited (100% inhibition) based on their growth inhibition rates[30,31]. Five replicates were conducted for each fungicide and fungal isolate, and the experiments were independently repeated twice under the same biological conditions.

    • The Shapiro-Wilk test in SPSS software version 26 was used to examine data from the two repeated fungicide sensitivity experiments at a significant level of p < 0.05 to perform the normality test. The results indicated non-significant findings, so the data from these repeated experiments were assessed for the assumptions of one-way analysis of variance (ANOVA). Duncan's Multiple Range Test (DMRT) was then used to identify significant differences at p ≤ 0.05.

    • Initial symptoms, water-soaked areas on the outer surface of scales were observed. Later, white mycelium and blue powdery mold develop on the surface of the lesions (Fig. 1a). These lesions appear as brown, tan, or grey colored areas when the bulbs are cut. In advanced stages, infected bulbs disintegrated into a watery rot.

      Figure 1. 

      (a) Natural symptoms of blue mold disease on bulbs of elephant garlic by Penicillium allii . Colonies of Penicillium allii SDBR-CMU499 after incubation at 25 °C for one week. (b) PDA. (c) CYA. (d) MEA. (e)–(g) Conidiophores. (h) Conidia. Scale bars: (a)–(d) = 10 mm, (e)–(h) = 10 μm.

    • Three fungal isolates (CMU499, CMU500, and CMU501) with similar morphology were obtained and deposited at the SDBR-CMU under accession numbers SDBR-CMU499, SDBR-CMU500, and SDBR-CMU501, respectively. Colonies PDA, CYA, and MEA were 29–32, 32–37, and 33–37 mm in diameter, respectively after incubation for one week at 25 °C (Fig. 1bd). Colonies on PDA and MEA were white, flat with entire edges, conidium turquoise, white in the center, dull green at the margins; reverse pale yellow for PDA and yellow-brown for MEA. Colonies on CYA were white, flat with entire edges, conidium dull green; reverse white. All fungal isolates could produce conidiophores, and phialides, and sporulate in all of the agar media. Conidiophores terverticillate (Fig. 1eg). Stipes rough-walled, 13.2–181.2 × 2.3–3.9 μm. Rami one or two, rough-walled and appressed or divergent, 8.4–24.7 × 2.5–4.6 μm. Metulae divergent, in verticils of 2–4, 8–19.1 × 2.3–4.6 μm. Phialides ampulliform, in verticils of 3 to 9, 6–17.9 × 1.7–6.9 μm. Conidia globose, 2.6–4.3 μm in diameter, smooth-walled, dull green (Fig. 1h). Based on these morphological characteristics, all fungal isolates were initially identified as belonging to Penicillium[3235]. Fungal identification was then further confirmed using multi-gene phylogenetic analyses.

    • The ITS, BenA, CaM, and rpb2 sequences obtained from three fungal isolates in this study have been deposited in GenBank (Table 1). According to the BLAST results, all fungal isolates were identified as members of the Penicillium section Fasciculata. The combined ITS, BenA, CaM, and rpb2 sequences dataset consists of 32 taxa, and the aligned dataset includes 2,399 characters comprising gaps (ITS: 1–553, BenA: 554–927, CaM: 928–1,442, and rpb2: 1,443–2,399). The best-scoring RAxML tree was established with a final ML optimization likelihood value of –9,279.455311. Accordingly, the matrix contained 612 distinct alignment patterns with 5.04% undetermined characters or gaps. The estimated base frequencies were found to be: A = 0.235164, C = 0.269054, G = 0.262373, and T = 0.233408; substitution rates AC = 1.298254, AG = 4.466196, AT = 1.340638, CG = 0.787838, CT = 9.362594, and GT = 1.00000. The values of the gamma distribution shape parameter alpha and the Tree-Length were 0.580385 and 0.524602, respectively. Additionally, BI analysis yielded a final average standard deviation of 0.002257 for the split frequencies at the end of all MCMC generations. Regarding topology, the phylogenetic trees generated from both ML and BI analyses were similar. Consequently, the phylogenetic tree obtained from the ML analysis was selected and is displayed in Fig. 2. The results indicated that three fungal isolates SDBR-CMU499, SDBR-CMU500, and SDBR-CMU501 clustered with P. allii CBS 131.89 (ex-type strain) with strong statistical (100% BS and 1.0 PP) supports. Therefore, all fungal isolates obtained in this were identified as P. allii based on morphological and molecular data.

      Figure 2. 

      Phylogram derived from maximum likelihood analysis of the combined ITS, BenA, CaM, and rpb2 sequences of 30 taxa in the Penicillium section Fasciculata and two taxa in the Penicillium section Penicillium. Penicillium italicum CBS 339.48 and P. ulaiense CBS 210.92 were used as outgroups. Bootstrap values ≥ 50% (left) and Bayesian posterior probabilities ≥ 0.90 (right) are displayed above nodes. The scale bar represents the expected number of nucleotide substitutions per site. The sequences of fungal species obtained in this study are in red. The ex-type strain are in bold.

    • The initial symptoms appeared on bulbs of elephant garlic 3 d after being inoculated. After 7 d, all inoculated bulbs displayed powdery mold at their centers, surrounded by orange-brown water-soaked lesions (Fig. 3bd). Whereas, control bulbs were asymptomatic (Fig. 3a). Penicillium allii was consistently reisolated from the inoculated bulbs on PDA to complete Koch's postulates.

      Figure 3. 

      Pathogenicity test using Penicillium allii SDBR-CMU499, SDBR-CMU500, and SDBR-CMU501 on bulbs of elephant garlic after one week inoculation at 25 °C. (a) Control bulbs treated with sterile distilled water instead of inoculum. Blue mold disease on bulbs of elephant garlic after inoculation of isolate (b) SDBR-CMU499, (c) SDBR-CMU500, and (d) SDBR-CMU501. Scale bar: 10 mm.

    • Seven commercially available fungicides in Thailand were tested in this study. After one week, the mycelial growths in response to the fungicides at three different dosages, including half-recommended (1/2RD), recommended (RD), and double-recommended (2RD) were calculated and presented in Table 2. The results revealed that the growth inhibition values varied across different fungicides, dosages, and fungal isolates. Data on the percentage of mycelial inhibition for each fungal isolate, related to the fungicides, passed the normality test (Shapiro-Wilk test, p < 0.001), thereby assuming normal distributions. Therefore, ANOVA followed by DMRT (p ≤ 0.05) was used to identify significant differences. The findings indicated that all fungal isolates were completely inhibited by carbendazim, difenoconazole + azoxystrobin, and difenoconazole at all tested dosages (Table 2). In the tests for captan and mancozeb, all isolates demonstrated sensitivity to 2RD. Therefore, based on the recommended dosages, carbendazim, difenoconazole + azoxystrobin, and difenoconazole could be effectively applied to control this pathogen.

      Table 2.  Percentage of mycelial inhibition and reactions of three isolates of Penicillium allii against fungicides.

      Fungicides Dosages Inhibition of mycelial growth (%)* Reaction
      SDBR-CMU499 SDBR-CMU500 SDBR-CMU501
      Benalaxyl-M + mancozeb 1/2RD 30.08 ± 1.41 c 29.27 ± 2.25 c 30.08 ± 2.53 c Insensitive
      RD 55.28 ± 1.41 b 56.10 ± 3.62 b 60.16 ± 1.67 b Sensitive
      2RD 82.11 ± 2.82 a 83.74 ± 1.41 a 83.74 ± 3.45 a Sensitive
      Captan 1/2RD 2.44 ± 3.50 c 1.63 ± 2.41 c 2.44 ± 1.25 c Insensitive
      RD 4.88 ± 2.25 b 4.88 ± 2.23 b 5.69 ± 2.30 b Insensitive
      2RD 72.36 ± 1.60 a 73.93 ± 3.45 a 73.98 ± 2.82 a Sensitive
      Carbendazim 1/2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      Copper oxychloride 1/2RD 61.79 ± 1.60 c 58.54 ± 1.05 c 56.91 ± 1.41 f Sensitive
      RD 68.29 ± 1.20 b 68.29 ± 2.05 b 68.29 ± 2.54 d Sensitive
      2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      Difenoconazole + azoxystrobin 1/2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      Difenoconazole 1/2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      2RD 100 ± 0 a 100 ± 0 a 100 ± 0 a Inhibition
      Mancozeb 1/2RD 19.51 ± 2.44 c 22.76 ± 3.73 c 21.14 ± 1.41 c Insensitive
      RD 47.15 ± 1.45 b 47.15 ± 2.82 b 43.90 ± 2.44 b Insensitive
      2RD 58.54 ± 2.44 a 54.47 ± 1.42 a 55.28 ± 1.45 a Sensitive
      * Results are means of five replicates ± standard deviation with the independently repeated twice. Data with different letters within the same column for each fungal isolate and fungicide indicate a significant difference at p ≤ 0.05 according to Duncan's multiple range test. 1/2RD, RD, and 2RD indicate half of the recommended dosage, recommended dosage, and double the recommended dosage, respectively.
    • Penicillium species are widely recognized as one of the most significant genera, known to cause major diseases in numerous economically valuable crops cultivated worldwide, including garlic[9,10,12,13,36]. Traditionally, Penicillium species have been identified using both macromorphological and micromorphological characteristics. However, morphological traits alone are insufficient to differentiate closely related Penicillium species due to the extensive range of morphological variations. Therefore, molecular techniques are crucial for accurately identifying Penicillium at the species level. Several previous studies have utilized a combination of ribosomal DNA (ITS) and protein-coding genes (BenA, CaM, rpb1, and rpb2) as powerful tools to identify Penicillium species since species-level identification remained unresolved when used solely on the ribosomal DNA gene[32,34,35,37]. In this study, three isolates of P. allii were obtained from the rot lesions of blue mold disease on elephant garlic bulbs in northern Thailand. The identification of this fungal species followed methods similar to those used for identifying Penicillium, which involve combining phylogenetic analysis of multiple genes with their morphological characteristics.

      In this study, Koch's postulates were fulfilled by conducting pathogenicity tests on all isolates of P. allii. The findings demonstrate that postharvest blue mold disease on elephant garlic bulbs in northern Thailand, caused by P. allii identified in this study resembles the disease caused by previously identified Penicillium pathogens, particularly P. hirsutum, which affects garlic bulbs worldwide[1113,36]. Penicillium polonicum has been reported as a causal agent of blue mold on stored garlic bulbs in Pakistan[38]. Penicillium allii was known to cause postharvest blue mold disease on garlic bulbs in Argentina[15,39,40]. In the USA, P. albocoremium, P. expansum, P. glabrum, P. paraherquei, and P. radicicola can cause blue mold on garlic bulbs[13]. In Korea, blue mold disease on garlic bulbs caused by P. hirsutum has been reported[41]. Five Penicillium species, namely P. allii, P. glabrum, P. italicum, P. polonicum, and P. psychrotrophicum were identified and confirmed as postharvest pathogens causing blue mold rot of garlic in Serbia[42]. Recently, P. allii was the most virulent pathogen causing blue mold disease of elephant garlic bulbs in Italy, accounting for 95% of cases, followed by P. citrinum (4%) and P. brevicompactum (1%)[43]. Before this study, there were no reports of blue mold disease on elephant garlic bulbs in Thailand. Thus, this represents the first report of postharvest blue mold disease on elephant garlic bulbs caused by P. allii in Thailand.

      To manage and control fungal-caused plant diseases, a variety of fungicides have been used. Several studies have documented the effectiveness of fungicides in affecting sensitive, resistant strains of plant pathogenic fungi, particularly those in the Penicillium species, on their in vitro mycelial growth[4446]. In this study, the sensitivity and inhibition of P. allii to fungicides varied among different fungicides and dosages. These findings are consistent with previous studies, which reported that the sensitivity and inhibition of Penicillium species to fungicides varies based on the type and dosage of the fungicide, as well as fungal species[4648]. Before this study, prochloraz had been used against P. allii to control diseases related to sprouting germination in Europe[49]. In this study, carbendazim, difenoconazole + azoxystrobin, and difenoconazole at both half and recommended dosages exhibited complete inhibition of P. allii. The information on the in vitro inhibition, sensitivity, and resistance of fungicides against P. allii, which causes postharvest blue mold disease on elephant garlic bulbs, would be beneficial for in vivo applications and for managing this disease in Thailand and globally. However, environmental factors and the fungicide's metabolism in the plant can cause the results of in vitro fungicide testing to differ from in vivo responses. Therefore, further studies are required to conduct in vivo fungicide sensitivity and disease inhibition assays based on the in vitro findings. Additionally, several previous studies have established that fungicide-resistant strains are a result of both excessive and prolonged fungicide treatment[5052]. Utilizing biological control agents, rotating crops, adhering to fungicide treatment guidelines, and maintaining cleanliness in fields, equipment, and storage spaces are all essential components of a comprehensive strategy to reduce fungicide resistance in fungi[9,50,53,54].

    • Garlic blue mold disease, caused by Penicillium species, leads to significant economic losses during postharvest storage worldwide. In the present study, P. allii was isolated from infected bulbs of elephant garlic in northern Thailand. The identification of this fungi involved the analysis of their morphological characteristics and conducting multi-gene phylogenetic analyses. The assessment of pathogenicity for P. allii showed similar symptoms throughout the artificial inoculation process, as observed during the postharvest storage period. Therefore, this study represents the first report of elephant garlic blue mold disease caused by P. allii in Thailand. In the fungicide screening test, carbendazim, difenoconazole + azoxystrobin, and difenoconazole were found to effectively control this pathogen at both half and full recommended dosages. Thus, half of the recommended dosages can be used in managing this disease, serving as a guideline for prevention and helping to reduce pathogen resistance to fungicides. The findings of this study will enhance our understanding of postharvest blue mold disease in elephant garlic bulbs and provide insights for developing effective management strategies and prevention methods to minimize significant economic losses. Further research on the epidemiology of this disease would be required for effective monitoring, prevention, and control.

      • The authors sincerely appreciate the financial support provided by Chiang Mai University, Thailand and the University of Phayao Innovation Fund [Fundamental Fund 2024 (227/2567)], Thailand.

      • The authors confirm contribution to the paper as follows: conceptualization: Suwannarach N, Khuna S; formal analysis: Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Kumla J; investigation, methodology: Suwannarach N, Khuna S, Chaiwong K; resources: Suwannarach N, Khuna S, Chaiwong K; software: Khuna S, Chaiwong K, Senwanna C, Kumla J; validation: Suwannarach N, Khuna S, Senwanna C, Nuangmek W; data curation: Khuna S, Senwanna C, Nuangmek W, Kumla J; visualization: Khuna S, Chaiwong K; writing–original draft: Suwannarach N, Khuna S, Nuangmek W, Kumla J; writing–review & editing: Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Nuangmek W, Kumla J; supervision, project administration: Suwannarach N; funding acquisition: Suwannarach N, Nuangmek W. All authors have read and agreed to the published version of the manuscript.

      • The DNA sequences generated in this study have been submitted to GenBank and can be accessed through the accession numbers provided in the paper.

      • The authors declare that they have no conflict of interest. Nakarin Suwannarach and Jaturong Kumla are the Editorial Board members of Studies in Fungi who are blinded from reviewing or making decisions on the manuscript. The article was subject to the journal's standard procedures, with peer review handled independently of these Editorial Board members and the research groups.

      • Copyright: © 2024 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (3)  Table (2) References (54)
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    Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Nuangmek W, et al. 2024. Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand. Studies in Fungi 9: e015 doi: 10.48130/sif-0024-0015
    Suwannarach N, Khuna S, Chaiwong K, Senwanna C, Nuangmek W, et al. 2024. Identification and fungicide sensitivity of the blue mold pathogen in postharvest-stored elephant garlic bulbs in Thailand. Studies in Fungi 9: e015 doi: 10.48130/sif-0024-0015

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