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Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew)

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  • Taxus wallichiana Zucc. (Himalayan yew) has been well-documented for containing therapeutically significant active ingredients. Its bark contains pharmaceutically important compounds i.e., taxol and its derivatives which are well known for their anticancer potential. However, T. wallichiana has received limited attention for its equally significant antimicrobial properties. Keeping this background in view, T. wallichiana was selected for the detailed investigation of antimicrobial activities, and isolation and characterization of secondary metabolites responsible for antimicrobial activity in different plant parts i.e., needle, bark, and stem extracts. In plate-based bioassays, plants exhibited antimicrobial action against the three main categories of microorganisms (fungi, bacteria, and actinobacteria). Based on the preliminary antimicrobial study, methanol and ethyl acetate extracts, were selected for further experiments. The bioautographic technique was used for identification, and the mobile phase was optimized with the help of a selectivity triangle. After continuous column and thin-layer chromatography, fractions were identified as having good antifungal, antibacterial, and antiactinobacterial activity. These fractions were selected for further characterization using techniques like GC-MS/LC-MS, and FTIR. These analyses support the identification of several fatty acids, including arachidic acid, behenic acid, palmitic acid, and stearic acid; vitamins (nicotinamide); alkaloids (cinchonine, timolol); amino benzamides (procainamide); carbocyclic sugars (myoinositol); and alkane hydrocarbons (hexadecane), which have antimicrobial activity in T. wallichiana needles. The information gathered from this study will help modern medicine make new drug discoveries that combine different active ingredients from medicinal plants to treat a wide range of ailments.
  • 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.

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  • Cite this article

    Adhikari P, Agnihotri V, Pandey A. 2024. Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew). Medicinal Plant Biology 3: e018 doi: 10.48130/mpb-0024-0020
    Adhikari P, Agnihotri V, Pandey A. 2024. Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew). Medicinal Plant Biology 3: e018 doi: 10.48130/mpb-0024-0020

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Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew)

Medicinal Plant Biology  3 Article number: e018  (2024)  |  Cite this article

Abstract: Taxus wallichiana Zucc. (Himalayan yew) has been well-documented for containing therapeutically significant active ingredients. Its bark contains pharmaceutically important compounds i.e., taxol and its derivatives which are well known for their anticancer potential. However, T. wallichiana has received limited attention for its equally significant antimicrobial properties. Keeping this background in view, T. wallichiana was selected for the detailed investigation of antimicrobial activities, and isolation and characterization of secondary metabolites responsible for antimicrobial activity in different plant parts i.e., needle, bark, and stem extracts. In plate-based bioassays, plants exhibited antimicrobial action against the three main categories of microorganisms (fungi, bacteria, and actinobacteria). Based on the preliminary antimicrobial study, methanol and ethyl acetate extracts, were selected for further experiments. The bioautographic technique was used for identification, and the mobile phase was optimized with the help of a selectivity triangle. After continuous column and thin-layer chromatography, fractions were identified as having good antifungal, antibacterial, and antiactinobacterial activity. These fractions were selected for further characterization using techniques like GC-MS/LC-MS, and FTIR. These analyses support the identification of several fatty acids, including arachidic acid, behenic acid, palmitic acid, and stearic acid; vitamins (nicotinamide); alkaloids (cinchonine, timolol); amino benzamides (procainamide); carbocyclic sugars (myoinositol); and alkane hydrocarbons (hexadecane), which have antimicrobial activity in T. wallichiana needles. The information gathered from this study will help modern medicine make new drug discoveries that combine different active ingredients from medicinal plants to treat a wide range of ailments.

    • Microorganisms are developing multidrug resistance (MDR) for many antibiotic and medicinally important compounds due to improper usage. This is causing a major threat to society, the economy, and public health[1]. Therefore, alternate sources of drugs are being searched which could be suitable for the microbe's MDR properties[2]. There have been documented efforts in research to identify new, powerful natural or synthetic antimicrobial agents to combat MDR[3,4]. Recently, it was shown that synthetic cationic and hydrophobic peptides with N-terminal labels, which are linked to the human cathelicidin LL-37 peptide, are effective against both Gram-negative and Gram-positive infections[5]. Plant-based secondary metabolites are gaining more attention among natural or synthetic antimicrobial agents. Plants contain biologically active metabolites, known as phytochemicals, that can be extracted from various plant parts, including the leaves, barks, seeds, flowers, and roots, and can be subsequently employed as sources of antimicrobial compounds[6,7]. The extraction of these compounds can be affected by both the solvent selected for extraction as well as by the extraction method followed. Similarly, the selection of mobile phase solvents for separating phytochemicals from the extract is also very important. Therefore, optimization of extraction method conditions and mobile phase combinations is required to separate and identify these complex plant-based bioactive secondary metabolites from crude extracts of medicinal plants[8].

      Taxus wallichiana (Zucc.) is a significant evergreen tree of medicinal importance, it is being used to extract the medicine taxol from its bark, and because of that it has drawn a lot of attention. Generally, it can be grown in temperate regions of the Indian Himalayan region (IHR) between 1,800 and 3,300 m above sea level[9]. The Unani and Ayurvedic medical systems have both looked into the medicinal applications of this species. T. wallichiana crude extracts also include bioactive metabolites, frequently with potential antioxidant effects. T. wallichiana is renowned for its numerous ethno-medical applications[10]. Asthma and bronchial problems are managed with its needle paste[11]. Additionally, Himalayan tribal people use tea made from the needles, stem, and bark of Himalayan yew to treat colds, coughs, and hypertension. It has been found that lignan compounds from T. baccata heartwood exhibit both antibacterial and cytotoxic properties against a panel of oncology cell lines[12]. T. wallichiana plant part extracts have been researched mainly for their potential for different types of cancer treatment and with little focus on their antibacterial activities[10,13]. The antimicrobial potential of the Taxus wallichiana plant's needles, bark, and stem have been reported, and according to qualitative assessments, actinobacteria, fungi, and bacteria (both Gram-positive and Gram-negative) were all inhibited by the crude extracts of the plant. The initial findings of the quantitative estimations made to the minimum inhibitory concentration also provided support for it[1416]. A detailed study is required for the identification of antimicrobial compounds present in T. wallichiana plant part extracts.

      The goal of the current work is to separate and collect the fractions of T. wallichiana- plant parts extracts for screening and detection of antimicrobial compounds and then characterize the antimicrobial compounds for their identification to better understand their biochemical makeup.

    • Plant samples (needle, bark, and stem) were collected from the Jageshwar area, District Almora (29°35'−29°39' N and 79°59'−79°53' E) of Uttarakhand, India. A collection of plant samples were submitted to the herbarium records of G.B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, Uttarakhand, India (Voucher number: GBPI 5050), and the plant was identified as an evergreen woody tree of Taxacease family, it was identified by Dr. K. Chandra Sekar working as Scientist 'F' at the Institute. The gathered plant samples were ground into a fine powder for the next experiments after being cleaned and allowed to air dry.

    • HPLC-grade ethanol, methanol, acetone, chloroform, ethyl acetate (E. acetate), hexane, and acetic acid were aquired from Merck, India. Additionally, tryptone yeast extract broth, potato dextrose broth, agar, formic acid, benzene, and toluene were obtained from Hi-media, India. Furthermore, arachidic acid, behenic acid, palmitic acid, stearic acid, myo-inositol, hexadecane, timolol, nicotinamide, procainamide, and cinchonine were purchased from Sigma Aldrich, India. Lastly, the silica gel (mesh 60−120) and TLC plates (Silica gel 60 F254) were procured from Merck Germany.

    • Two Gram-positive bacteria, Bacillus subtilis (NRRL B30408) and B. megaterium (MCC3124). Two Gram-negative bacteria, Escherichia coli, and Serratia marcescens (MTCC4822). Two Actinobacteria, Nocardia tenirefensis (MCC2012), and Streptomyces sp. (MCC2003). Five fungi, i.e., Paecilomyces variotii (ITCC3710), Aspergillus niger (ITCC2546), Fusarium oxysporum (ITCC4219), F. solani (ITCC 5017), and Trametes hirsuta (MTCC11397) were used in this study. The microbiology lab of the Institute G.B. Pant National Institute of Himalayan Environment in Almora, Uttarakhand, constructed a microbial culture collection from which these test microorganisms were collected.

    • Two grams of plant material (needle, bark, and stem individually) were combined in a 1:5 ratio (dry powder : solvents) with methanol, ethanol, and ethyl acetate. Using parafilm, the conical flask's mouth was sealed. Using a Remi rotary shaker set to 160 rpm for 48 h at room temperature, samples were macerated. Each solvent extract was vacuum-dried at 35−40 °C using a vacuum oven (Narang Scientific Works, New Delhi, India, Model-257) following extraction. The dried extract was then dissolved in 2 mL of the appropriate solvent, kept apart, and used later at 4 °C.

    • Various qualitative tests were performed for phytochemical screening following the method described by Gul et al.[17]. All the plant parts extracts were evaluated for total phenolic content, total flavonoid content, and total tannin content, with slight modification (concerning extract volume) in methods as described by Kumaran & Karunakaran[18], Quettier et al.[19], and Nwinuka et al.[20], respectively. The results of total phenolic content are expressed in terms of mg gallic acid equivalent per g dry weight of extract (GAE mg/g dw), flavonoid concentration in terms of mg quercetin equivalent per g dry weight of extract (QE mg/g dw), and tannin content in terms of mg tannic acid equivalent per g dry weight of extract (mg/g dw). The standard equations derived from the calibration curves were utilized for quantification.

    • Agar plate-based bioassays employing the disc diffusion method were carried out to estimate the antibacterial potential of T. wallichiana plant part extracts qualitatively. Fungal culture suspensions were made in Potato Dextrose (PD) agar, whilst bacterial and actinobacterial culture suspensions were made on Tryptone Yeast extract (TYE) agar. With the use of a glass spreader, 100 μL of each test organism (separately) was evenly distributed on the corresponding agar surface (TYE agar plates for bacteria and actinobacteria, and PD agar plates for fungus). With the use of sterile forceps, sterile 5 mm filter paper (Whatman No. 1) discs were put over the agar surface. The agar disc was covered with 15 μL of extract. After that, the plates were incubated at 25 °C. Based on the zone of inhibition (mm) measurements after 24 h for bacteria and 120 h for actinobacteria and fungus, the findings were recorded. Each experiment was carried out in triplicate.

    • Ten grams of powdered dried needles were macerated in a 1:5 (w/v) mixture of hexane, chloroform, ethyl acetate, methanol and water. Hexane, chloroform, ethyl acetate, methanol, and water were used in increasing order of solvent polarity during the maceration of the same sample. Each solvent extract was vacuum dried after extraction using a vacuum oven (Narang Scientific Works, New-Delhi, India, Model-257) at 35 to 40 °C. The dried extract was then individually dissolved in 2 mL of each solvent.

    • Column and thin layer chromatography (TLC) extracts with antimicrobial activity were further used to isolate and identify antimicrobial compounds. The selectivity triangle approach, created by Snyder, was used to optimize the mobile phase for the chromatographic apparatus[21]. Through column chromatography, extracts with antibacterial activity were purified using a glass column (32 cm) filled with silica gel (60−120 mesh). Hexane was used to charge the silica bed before a 1 mL sample was put into the column and 10 different mobile phase combinations listed in Table 1 were used to elute the sample. After collecting the eluted fractions, TLC-bioautography was used to further separate the fractions that have antibacterial activity.

      Table 1.  Solvent strength of mobile phase used for separation of compounds using column chromatography.

      Solvent strength
      Mobile phase I (%)
      Hexane (100) 0
      Hexane (90) E. acetate (10) 0.44
      Hexane (80) E. acetate (20) 0.88
      Hexane (70) E. acetate (30) 1.32
      Hexane (60) E. acetate (40) 1.76
      Hexane (50) E. acetate (50) 2.2
      Hexane (40) E. acetate (60) 2.64
      Hexane (30) E. acetate (70) 3.08
      Hexane (20) E. acetate (80) 3.52
      Hexane (10) E. acetate (90) 3.96
      Mobile phase II (%)
      E. acetate (100) 4.4
      E. acetate (90) Methanol (10) 4.47
      E. acetate (80) Methanol (20) 4.54
      E. acetate (70) Methanol (30) 4.61
      E. acetate (60) Methanol (40) 4.68
      E. acetate (50) Methanol (50) 4.75
      E. acetate (40) Methanol (60) 4.82
      E. acetate (30) Methanol (70) 4.89
      E. acetate (20) Methanol (80) 4.96
      E. acetate (10) Methanol (90) 5.03
      Mobile phase III (%)
      Acetic acid (0.1) Methanol (99.9) 5.1

      Based on the selectivity triangle, a TLC plate (silica gel 60 F254, Merck, Germany) was used to separate the fraction with antibacterial activity using various combinations of mobile phases (Table 2). The TLC plates were examined for antimicrobial activity, and any areas with potential for antimicrobial activity were scraped off and dissolved in ethyl acetate. Finally, utilizing the solvent systems listed in Table 3, column chromatography was performed once more to further purify fractions to isolate molecules responsible for antibacterial activity. Afterward, the above-mentioned procedure for testing the antimicrobial activity was used for testing the antimicrobial properties of the fractions and was evaluated using a qualitative test (the disc diffusion assay) and a quantitative assessment (the minimum inhibitory concentration, or MIC). The same mobile phase from which the fractions were taken was utilized as a control.

      Table 2.  Solvent strength of mobile phase used for separation of compounds using thin layer chromatography.

      Code Mobile phase Ratio Solvent strength Separation Spot Rf value
      M1 Chloroform : E. acetate : Formic acid 5:4:1 4.4 Yes 2 0.6, 0.7
      M2 E. acetate : Methanol : Benzene 2:0.5:2.5 3.6 Yes 3 0.3, 0.6, 0.68
      M3 Ethanol : Chloroform 1:1 4.2 Yes 4 0.4, 0.56, 0.64, 0.83
      M4 Toluene : E. acetate : Formic acid 6:4:0.5 3.2 Yes 5 0.25, 0.38, 0.43, 0.64 and 0.81
      M5 Hexane : Acetone : Toluene : Ethanol 10:7:7:6 5.2 No No No
      M6 Chloroform : Acetonitrile 7:3 4.6 Yes 3 0.77, 0.8, 0.85
      M7 Chloroform : Methanol 7:1 3.9 Yes 8 0.67, 0.15, 0.19, 0.32, 0.40, 0.45,0.62, 0.75
      M8 E. acetate : 2-Propanol 95:5 4.3 No No No
      M9 Chloroform : E. acetate : Methanol 25:20:5 4.3 Yes 5 0.25,0.4, 0.54, 0.68, 0.76
      M10 Chloroform : Formic acid : Acetonitrile 6:0.5:3.5 3.3 No No No

      Table 3.  Solvent strength of mobile phase used for separation of compounds present in spot 2 through thin layer chromatography and column chromatography.

      Code Mobile phase Ratio Solvent strength
      M11 Hexane : E. acetate 7:3 1.32
      M12 Toluene : Methanol 8:2 2.94
      M13 Methanol : Chloroform 1:1 4.6
      M14 DMF : DCM : Acetonitrile 5:1:4 5.83
      M15 Acetic acid : Methanol : Water 5:2.5:2.5 6.77
    • With the use of the Shimadzu GC/MS-QP2010 ultra, certain fractions were examined. The eluted components' electron impact (EI) mass spectrum was captured using a 10 μL injection volume. The column's (DB35-MS Capillary non-polar column with dimensions of 30 mm × 0.25 mm ID × 0.25 μm film) initial temperature was maintained at 50 °C for 2 min, after which it was raised to 250 °C at a rate of 7 °C/min for a hold time of 3 min, and then to 280 °C for 18 min at a rate of 10 °C/min. The carrier gas (Helium) flow rate was held constant at 1.21 mL/min. The mass range of 50−1,000 Da has been scanned. NIST 14 and Willey 8 library spectra tools were used to identify the chemical components.

    • Using LC/MS (Waters, MS Synaptic GZ HDMS LC-MS UPLC H-Class) with a C18 (1.7 μm) column, injection volume of 20 μL, and 0.1% formic acid: acetonitrile: methanol (20:30:50 v/v/v; isocratic mode) as mobile phase, the non-volatile bioactive chemicals included in the extract were identified. The column was kept at a constant temperature of 35 °C. The chromatogram and mass spectrum analysis were done and the results were compared to the reference mass spectrum found in the Metlin library and the online tool Massbank.

    • The Agilent-Cary 630 FT-IR spectrometer was used to record the FTIR spectra. Using Microlab FTIR software, 20−40 μL of samples were used for FTIR analysis spanning the frequency range of 650−4,000 cm−1 at 8 cm−1 intervals. Based on the wave number, the spectrum was further examined for the presence of potential functional groups.

    • Following the identification of antimicrobial compounds, all compounds were procured from Sigma, India, and their antimicrobial activity was assessed through the utilization of the technique delineated in an earlier section. Subsequently, the fatty acids in the needle methanolic extracts are measured. Gas chromatography (Chemito GC, Ceres 800 plus) with a Flame Ionization Detector (FID) was used to evaluate the fatty acids. A BP20 column (30 m × 0.25 mm) in splitless mode was used for the analysis, and 10 μL of the extract was injected. The stationary phase film thickness was 0.25 mm. The temperatures of the injector and detector were adjusted to 250 and 290 °C, respectively. The flow rate of the carrier gas, helium, was kept constant at 0.75 mL/min. The oven was preheated at 60 °C, then raised to 260 °C at a pace of 3 °C per min, and left there for 10 min. By comparing the retention durations of the fatty acids to a variety of fatty acid standards, the fatty acids were found.

      Using RP-HPLC (Shimadzu LC solution, Japan) and a PDA (Photodiode Array) detector, non-volatile chemicals were examined. Using a C18 reverse-phase column, the active metabolites in methanolic needle extracts were measured. Every sample had an injection volume of 20 μL, and the mobile phase was operated in gradient mode. The following compounds' wavelengths and mobile phase compositions were measured: procainamide (275 nm, methanol : water), nicotinamide (275 nm, 0.1 % TFA in water : acetonitrile : methanol), myoinositol (280 nm, methanol : 0.02 M H2SO4), and cinchonine (260 nm, acetonitrile : methanol : phosphoric acid), with a flow rate of 1 mL/min for all the compounds, except 1.2 mL/min for nicotinamide, and 0.6 mL/min for myoinositol.

    • Data were collected from all trials in triplicate and were expressed as a mean with standard deviation (SD). GraphPad, Prisma 8 software was used to create the heatmap.

    • The extract yield was higher in the methanolic extract (15%) followed by ethanol (12%) and ethyl acetate (9%). The qualitative analysis of T. wallichiana needle, stem, and bark shows the presence of phytochemical substances such as phenol, flavanol, flavonoid, tannin, saponin, terpenoid, glycoside, and steroid (Fig. 1). Total phenolic, flavonoids and tannin content were higher in ethanolic extracts of needles (82.20 ± 0.51 mg GAE/g (dw), 79.72 ± 0.69 mg QRE/g (dw), 12.98 ± 0.34 mg TAE/g (dw)) and methanol (81.37 ± 0.85 mg GAE/g (dw), 54.10 ± 0.58 mg QRE/g (dw), 10.52 ± 0.29 mg TAE/g (dw)) extracts, respectively. In stem, phenolic (52.57 ± 0.39 mg GAE/g (dw)) and tannin (9.09 ± 0.11 mg TAE/g (dw)) content was higher in methanolic extracts while flavonoids content was higher in ethanolic extracts (38.41±0.68 mg QRE/g (dw)). Likewise for bark, phenolic (68.52 ± 0.72 mg GAE/g (dw)) content, flavonoids (61.57 ± 1.09 mg QRE/g (dw)), and tannin (13.05 ± 0.18 mg TAE/g (dw)) content were higher in ethyl acetate extract. Results are shown in Fig. 2.

      Figure 1. 

      Qualitative phytochemical screening for stem, bark, and needle extracts.

      Figure 2. 

      Total phenolic content, total flavonoids content, and total tannin content of stem, bark, and needle extracts of T. wallichiana.

    • Using extracts from T. wallichiana needle, bark, and stem a preliminary test was conducted to determine which plant part would be most effective for the isolation and identification of antimicrobial metabolites. It's interesting to note that all plant part extracts exhibited antimicrobial action against the three types of microorganisms i.e., fungi, actinobacteria, and bacteria. T. wallichiana extracts; were found more effective against Bacillus species in terms of inhibition, and were less effective against E. coli. Between two tested Bacillus species, ethanol needle extract demonstrated greater inhibition for B. subtilis, whereas needle methanol extract demonstrated greater inhibition for B. megaterium. Likewise, needle and bark methanolic extracts showed higher antimicrobial activity for S. marcescens, needle and bark ethanolic extracts for P. chlororaphis, and needle methanol and ethanol extract for E. coli. Methanolic extracts of needles and bark showed significant inhibition against actinobacteria also i.e., N. tenirefensis, and Streptomyces sp., Fig. 3 displays the zone of inhibition (mm) results. T. wallichiana parts extracts showed antifungal activity against five fungus species i.e., P. variotii, T. hirsuta, F. oxysporum, A. niger, F. solani., and P. variotii showed the highest zone of inhibition with needle ethanolic extracts, T. hirsuta with bark ethanolic extract, F. oxysporum, and A. niger with needle methanol, and F. solani with needle and bark ethyl acetate extracts. Overall, the extent of the zone of inhibition for ethanolic and methanolic plant component extracts demonstrated strong antibacterial activity (Fig. 3).

      Figure 3. 

      Heatmap showing preliminary screening of antimicrobial potential (zone of inhibition (mm)) of needle, stem, and bark of T. wallichiana.

    • Several combinations of mobile phases were tried using the selectivity triangle approach for TLC, column chromatography, and bioautography to separate antimicrobial chemicals in needle fractions. Column chromatography and TLC have been used to identify and further purify a large number of bioactive fractions. The most often used techniques are thin-layer chromatography (TLC) and column chromatography because they are affordable, convenient, and available in a variety of stationary phases[22].

      Based on the results of the preliminary test of phytochemical and antimicrobial assay, needles were selected for further studies of antimicrobial compound isolation and characterization. There are several bioactive secondary metabolites from various classes included in the plant's crude organic extracts. When extracting desired compounds, it is beneficial to use multiple solvents sequentially, starting from those with low polarity and gradually increasing to high polarity. This approach helps prevent overlapping similar types of secondary metabolites in the desired extracts. Based on that in the current study, utilized hexane, chloroform, ethyl acetate, methanol, and water were utilized. It was found that only the extracts from methanol and ethyl acetate (ME & EAE) displayed antimicrobial activity, while the hexane, chloroform, and aqueous extracts exhibited no such activity.

      Based on the results of antimicrobial activity ME & EAE were selected for further fractionation using TLC and column chromatography. It is essential to fully understand the nature of the existing secondary metabolites in the extract before developing the mobile phase for column and thin-layer chromatography. In this context, Gas Chromatography-Mass Spectrometry (GC-MS) was conducted for the extracts (ME & EAE) exhibiting antimicrobial activity. The extract's mass spectra revealed the presence of carboxylic sugars, fatty acids, phenols, sterols, and alkanes. Benzene, propanol, gamma-sitosterol, phenols, and benzoic acid were prevalent in both extracts. The findings mentioned have been previously documented in the essential oil of Nasturtium officinale[23] and in the leaf extract of Adiantum capillus[24].

    • The secondary metabolites identified in the crude extract were then utilized to create the mobile phases for column chromatography, which was utilized to separate the secondary metabolites further, using a selectivity triangle. In the present study, optimization of the mobile phase was done through a selectivity triangle. It ultimately identifies and quantifies the blend of intermolecular interactions that occur between solutes and solvents/phases[25]. The basic principle of the selectivity triangle is shown in Fig. 4 and details on the first set of mobile phases are shown in Table 1.

      Figure 4. 

      Schematic diagram of selectivity triangle principle for mobile phase optimization.

    • Ten-bed volumes of mobile phase (details are given in Table 1) were passed through the column containing methanol and ethyl acetate extracts. Collected fractions were subjected to testing for antimicrobial activity. The methanol extract fractions exhibited selective antibacterial activity, while the ethyl acetate extract fractions demonstrated robust antimicrobial and antifungal activity. Following the results, the ethyl acetate extract fractions were chosen for further bioautography. A schematic diagram explaining the results is shown in Fig. 5.

      Figure 5. 

      (a) Schematic representation of different subfractions collected from fractionation of methanol and ethyl acetate fraction of T. wallichiana needle. (b) Antimicrobial activity of collected fractions of ethyl acetate extract through column chromatography.

    • Isolated fractions with antimicrobial activity were further subjected to separation of antimicrobial compounds using a bioautographic technique[2628]. With the help of a selectivity triangle, 10 different mobile phases were designed for the separation of compounds through TLC (Table 2). From the 10 mobile phases, three did not show any separation. The mobile phases, which had shown an RF value between 0.2−0.8 cm, were considered as good (Table 2).

      Seven mobile phases M1, M2, M3, M4, M6, M7, and M9 (Table 2) were found suitable for the separation of compounds present in the fraction having antimicrobial activity. Based on Rf values, mobile phase M3 and M4 were used for further study. During bio autography out of four spots, three spots showed antimicrobial activity. Spot 1, 2, and 3 have antimicrobial activity. Spot 1 and 3 have selective antibacterial activity and spot 2 has antibacterial, antiactinobacterial, and antifungal activity. Therefore, spot 2 was selected for further separations and detection using column chromatography and thin-layer chromatography. However, spot 2 did not separate through M3 and M4. Hence, another set of mobile phases was designed with the help of a selectivity triangle to improve the separation process. The solvent strength of the new mobile phase is given in Table 3. The schematic diagram is shown in Fig. 6a.

      Figure 6. 

      (a) Schematic diagram for finalizing the mobile phase for the TLC. (b) Schematic diagram for the TLC-bioautography.

    • Ten-bed volumes were passed through the column packed with spot 2. Fractions were collected through six different mobile phases, and afterward, all the fraction was then tested for their antimicrobial activity. After this exercise, three rich fractions (FA, FB, and FC) were selected based on their antimicrobial activity against all three tested groups including bacteria, actinobacteria, and fungi. The schematic diagram is shown in Fig. 6b and the results on the zone of inhibition are shown in the heatmap of Fig. 7a.

      Figure 7. 

      (a) Heatmap showing antimicrobial potential (zone of inhibition (mm)) of final fraction and isolated compounds having antimicrobial activity. PA= palmitic acid, SA= stearic acid, AA= arachidic acid, MY = myoinositol, and HA = hexadecane, PA = procainamide, CN = cinchonine, NA = nicotinamide, TM = timolol. B1) B. megaterium, B2) B. Subtilis, B3) E. coli; and B4) S. marcescens. (A and F2) A. niger, B and C P. variotii, D) F. oxysporum E and F) T. hirsuta. B) FTIR spectra of rich fraction FA, FB, and FC of T. wallichiana needles.

    • All of the fractions were subjected to the identification and characterization of antimicrobial compounds after the final three rich fractions (FA, FB, and FC) with antibacterial activity were chosen. Rich fractions (FA, FB, and FC) were subjected to GCMS (for volatile chemicals), LCMS (for non-volatile compounds), and FTIR (for functional group) analyses to characterize antimicrobial substances. A list of identified compounds through LCMS and GCMS are given in Table 4. Compounds like benzoic acid, hexadecenoic acid, or palmitic acid were found in all three fractions according to GCMS analysis. Fatty acids, aromatic carboxylic acids, aliphatic hydrocarbons, and sesquiterpenoid alcohols made up the bulk of the compounds that were found. Likewise, the existence of many categories of substances, such as alkaloids, vitamins, flavones, quinones, carboxylic acid, lipids, etc., was revealed by LCMS analysis.

      Table 4.  A list of identified compounds in fractions showed antimicrobial activity.

      Fraction (FA) compounds Fraction (FB) compounds Fraction (FC) compounds
      GC-MS
      1,6-Octadine-3-ol Benzoic acid Benzenepropanol
      Benzoic acid 4-Tetradecene Megastigmatrienone
      Benzene, 1-methoxy 4-(2-propenyl) 2,4-Ditert-butylphenol Ar-tumerone
      Phenol, 2-methyl-5-(1-methylethyl) 9-Octadecanoic acid Mome-inositol
      1-Tridecene Hexadecane Hexadecanoic acid
      Pentadecane 1,4-Dimethyl-2 phenoxybenzene 9-Octadecenoic acid
      Succinic acid E-15-Heptadecenal Eicosanoic acid
      E-14-Hexadecenal Benzene dicarboxylic acid Di-n-octyl phthalate
      Neophytadiene Hexadecanoic acid
      Hexadecanoic acid 1-Nonadecene
      1-Nonadecene Ecosanoic acid
      Docosanoic acid Octacosanol
      1-Tetradecanol Phenol, 2,4-bis(1-phenylethyl)
      Benzene dicarboxylic acid Di-n-octyl phthalate
      LC-MS
      1-aminocyclopropane-1-carbocyclic acid Nicotinamide Nicotinamide
      Methyl methanethiosulfonate Cinchonine Dodecylsulfonylacetic acid
      Methionyl-Glycin Ranitidine Diphenoxylic acid
      Ergothioneine Psoralenol Cinchonine
      Procainamide Squamocin B Ergothioneine
      Alcoifosfamide Trimethaphan
      Timolol Timolol
      Boviquinone Trimethaphan
      Lobaric acid Frangulanine

      To find out what functional groups were present in the identified compounds in the purified fraction, FTIR analysis was performed. Based on the fingerprint region (1,500–4,000 cm−1) and functional groups, FTIR spectra were analyzed. Figure 7b displays the FTIR spectrum. The functional groups of the compounds identified by GC-MS and LC-MS were compared with the FTIR spectra. All of the fractions share bands between 1,000 and 1,275 cm−1 (C-O/C-N str) between 3,000 and 3,100 cm−1 (C-H str in sp2 hybridized carbon, such as alkene = C-H str or aromatic C-H str). The bands at 3,362 cm−1, which are common between FB and FC, and the bands between 2,800 and 3,000 cm−1 (C-H str in sp3 hybridized carbon, such as methyl and methylene C-H str), which were common between FA and FB, suggested that N-H stretching may have occurred based on the band's shape, while broadness suggested the possibility of a carboxylic group or ester. Additionally, the tiny hump at 3,362 cm−1 suggested that FB and FC may include secondary or tertiary amides. In FA and FB, the band about 2,850 suggested the presence of methyl and methylene C-H str; in fraction FC, this was less evident. The only bands found in FC were around 3,017 cm−1 and the band at 1,675.95 cm−1, which are typically caused by the alkenyl C=C stretch/amide and the aromatic C-H stretch, respectively.

    • After all the biochemical characterization i.e., GC-MS, LC-MS, and FTIR, antimicrobial compounds were identified in all three fractions (Table 5). Ten compounds i.e., arachidic acid, behenic acid, palmitic acid, and stearic acid (fatty acid); vitamins (nicotinamide); alkaloids (cinchonine, timolol); amino benzamides (procainamide); carbocyclic sugars (myoinositol); and alkane hydrocarbons (hexadecane) were identified among all the compounds in the three rich fractions (FA, FB, and FC) that had antibacterial activity. To assess the antibacterial activity of the standard compounds against all the specified microorganisms, plate-based bioassays and minimum inhibitory concentration (MIC) were employed. Results in detail are given in Fig. 7a. Identified fatty acids were found potential antibacterial and antifungal agents. Likewise in some previous reports also using bioassay-guided fractionation, antibacterial fatty acids have been extracted from a variety of plants. Yff et al.[29] isolated palmitic acid from Pentanisia prunelloides which was effective towards bacteriological contagions. Palmitic and stearic acids are reported in Labisia pumila leaves with antibacterial activities[30,31].

      Table 5.  List of compounds identified in the separated fraction (spot 2) having antimicrobial potential.

      S. No. Compounds Formula Molar mass (g/mol) Classification Concentration in needles (mg/g (dw))
      GC-FID analysis
      1 Arachidic acid C20H40O2 312.53 Saturated fatty acid 22.94 ± 0.09
      2 Behenic acid C22H44O2 340.58 Saturated fatty acid 31.04 ± 0.05
      3 Palmitic acid C16H32O2 256.43 Saturated fatty acid 16.81 ± 0.03
      4 Stearic acid C18H36O2 284.48 Saturated fatty acid 20.10 ± 0.06
      RP-HPLC-PDA analysis
      5 Cinchonine C19H22N2O 294.17 Alkaloid 3.75 ± 1.21
      6 Nicotinamide C6H6N2O 122.12 Vitamin 21.14 ± 0.53
      7 Procainamide C13H21N3O 235.325 aminobenzamides 14.61 ± 0.71
      8 Timolol C13H24N4O3S 316.421 Alkaloid 6.31 ± 0.54
      9 Myoinositol C6H12O6 180.16 carbocyclic sugar 1.45 ± 1.01
      10 Hexadecane C16H34 226.41 alkane hydrocarbon

      Shafaghat[32] has reported the antibacterial potential of fatty acids derived from the various parts of the plant Hypericum scabrum (flower, leaf, stem, and seed). Cerdeiras et al.[33] reported the antibacterial activity of stearic acid, present in the aerial sections of Ibicella lutea. In addition to fatty acids, six more compounds i.e., myoinositol, hexadecane, chinchonine, timolol, procainamide, and nicotinamide were present as per MS data and these compounds also showed antibacterial properties along with antifungal activities. These substances have specific antifungal action in addition to strong antibacterial activity. Comparably, reports of myoinositol's antibacterial properties have been made[34,35]. Hexadecane from Allium nigrum has also been shown to have antibacterial activity[36]. Finally, through this piece of work, a separate fraction of T. wallichiana needle extract was obtained with known compounds, which have shown good antimicrobial activity with selected microbial species. This can be further utilized for in-depth studies with other types of microbes. After testing for antimicrobial activity, the compounds in the needle extracts were quantified using GC and HPLC alongside their standard compounds. The results of the quantification are given in Table 5.

    • Due to the increasing demand for T. wallichiana bark, there has been a continuous decline in the availability of raw materials sourced from its natural habitats. Consequently, there is a notable scarcity of information concerning various aspects such as the phytochemical composition and antimicrobial properties of T. wallichiana. In the current research, a thorough examination was conducted, emphasizing the diversity of phytochemicals, antimicrobial functions, and selection of suitable solvents for the extraction of bioactive components responsible for antimicrobial activity. Needles showed the highest antimicrobial potential among the stem, bark, and needles of T. wallichiana. Based on the preliminary data, rich-fractions of needles were subjected to LC-MS, GC-MS, and FTIR analyses, and a total of 10 compounds with antimicrobial potential i.e., myoinositol, hexadecane, cinchonine, procainamide, nicotinamide, palmitic acid, stearic acid, arachidic acid, behenic acid, and timolol have been identified from the needles. It is also suggested that focusing on utilizing the needles, rather than the bark and stem is optimal for maximizing their antimicrobial potential. Notably, T. wallichiana, an evergreen tree, has needles with a lifespan of approximately three and a half months, underscoring the importance of promoting needle usage for sustainable extraction of taxol and other potential biologically active secondary metabolites.

    • The authors confirm contribution to the paper as follows: study conception and design: Pandey A, Agnihotri V; experiments conduction, data interpretation, draft manuscript writing: Adhikari P; manuscript editing & finalization: Pandey A, Agnihotri V. All authors reviewed the results and approved the final version of the manuscript.

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

      • The authors are grateful to Director GBP-NIHE Almora, Uttarakhand, India, for extending facilities. The first author gratefully acknowledges the support from the National Mission on Himalayan Studies (NMHS-H-JRF-006) (Ministry of Environment, Forest & Climate Change, Govt. of India, New Delhi) for financial support.

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

      • 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 (7)  Table (5) References (36)
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    Adhikari P, Agnihotri V, Pandey A. 2024. Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew). Medicinal Plant Biology 3: e018 doi: 10.48130/mpb-0024-0020
    Adhikari P, Agnihotri V, Pandey A. 2024. Strategic engineering for detecting antimicrobial compounds from Taxus wallichiana Zucc. (Himalayan yew). Medicinal Plant Biology 3: e018 doi: 10.48130/mpb-0024-0020

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