Figures
Abstract
Background
A key argument in favor of conserving biodiversity is that as yet undiscovered biodiversity will yield products of great use to humans. However, the link between undiscovered biodiversity and useful products is largely conjectural. Here we provide direct evidence from bioassays of endophytes isolated from tropical plants and bioinformatic analyses that novel biology will indeed yield novel chemistry of potential value.
Methodology/Principal Findings
We isolated and cultured 135 endophytic fungi and bacteria from plants collected in Peru. nrDNAs were compared to samples deposited in GenBank to ascertain the genetic novelty of cultured specimens. Ten endophytes were found to be as much as 15–30% different than any sequence in GenBank. Phylogenetic trees, using the most similar sequences in GenBank, were constructed for each endophyte to measure phylogenetic distance. Assays were also conducted on each cultured endophyte to record bioactivity, of which 65 were found to be bioactive.
Conclusions/Significance
The novelty of our contribution is that we have combined bioinformatic analyses that document the diversity found in environmental samples with culturing and bioassays. These results highlight the hidden hyperdiversity of endophytic fungi and the urgent need to explore and conserve hidden microbial diversity. This study also showcases how undergraduate students can obtain data of great scientific significance.
Citation: Smith SA, Tank DC, Boulanger L-A, Bascom-Slack CA, Eisenman K, Kingery D, et al. (2008) Bioactive Endophytes Warrant Intensified Exploration and Conservation. PLoS ONE 3(8): e3052. https://doi.org/10.1371/journal.pone.0003052
Editor: Hany A. El-Shemy, Cairo University, Egypt
Received: May 25, 2008; Accepted: July 24, 2008; Published: August 25, 2008
Copyright: © 2008 Smith et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This program was supported in part by a grant to Yale University, in support of S. Strobel, from the Howard Hughes Medical Institute through the HHMI Professors Program and by NSF grant OISE-0636212. The funding sources had no role in the design or conduct of the study.
Competing interests: The authors have declared that no competing interests exist.
Introduction
One argument for conserving biodiversity is that undiscovered species might yield products of great importance to humans. However, the link between undiscovered biodiversity and potential usefulness is largely conjectural. Here we provide direct evidence from bioassays of endophytes isolated from plants of tropical Peru and Bolivia.
Endophytes are fungi or bacteria that grow in the living tissues of plants, apparently without inflicting negative effects [1]. Each of the nearly 300,000 species of land plant on earth is likely to host to one or more endophyte species. Despite this anticipated diversity, relatively few of these organisms have been characterized. Many endophytes make bioactive natural products that inhibit the growth of other organisms, and in some cases they acquire the ability to synthesize the same defensive natural products produced by the plant [2], [3]. Consequently, endophytes are a potential source of novel products for use in medicine, agriculture, and industry. The enormous diversity of rainforest plants provides a vast untapped reservoir of potentially valuable endophytic organisms.
Results and Discussion
During March 2007, S. Strobel and 15 undergraduate students in his HHMI-supported Yale course collected 304 vascular plant specimens from the Heath River area along the border of Peru and Bolivia, representing ∼200 species from ∼60 primarily angiosperm families. Small sections of the twigs of these plants were surface sterilized, dissected, placed on water agar [4], and pure cultures of the emerging endophytic fungi and bacteria were isolated. DNA was isolated from these cultures, and nuclear ribosomal (nr) gene-regions sequenced – the Internal Transcribed Spacer (ITS) region for fungi and 16S for bacteria (see Supporting Table S1).
BLAST searches of the nrDNAs obtained from 135 cultured endophytes were performed against GenBank (release 162) to assess their similarity to known sequences (Fig. 1A). Forty of the Peruvian endophytes differed by <1% from identified sequences in GenBank, 95 by <5%, and 120 by <10%; however, 10 differed between 15–30%. For ascomycete fungi (the group to which most of our endophytes belong; see below) we used Phyutility [5] to determine the similarity of each GenBank nrDNA sequence to the most similar sequence in GenBank (Fig. 1B). The dissimilarities of our endophytic sample of ascomycetes parallel the profile for the identified GenBank accessions. Importantly, several of our newly discovered ascomycetes are nearly as different from any GenBank accession as the most divergent known ascomycetes are from one another, and seven of them fall within the top five percent of the most divergent sequences known to date. These results support the suspected hidden hyperdiversity of endophytic fungi, and highlight our ignorance of fungal diversity in general [see 6].
(A) The distribution of pairwise nrDNA ITS similarities between each cultured endophyte and its closest identified match in GenBank. The orange portions represent those identified as ascomycetes; blue portions represent other fungal and bacterial lineages. Lightened orange and blue portions indicate the proportion of endophytes identified as bioactive. “C” and “D” mark the positions of the sequences included in the trees in Figs. 1C and 1D. (B) The distribution of pairwise nrDNA ITS similarities for each ascomycete sequence in GenBank and its closest match in GenBank; those to the right of the dotted line fall in the top 5% of most divergent sequences. (C)&(D) Example of the phylogenetic position and evolutionary distances to the 40 most similar nrITS sequences in GenBank of two bioactive Peruvian ascomycete endophytes (cultures P701a and P1802a, in green).
We also included each endophyte nrDNA sequence in a phylogenetic analysis with the 40 most similar sequences found in GenBank (e.g., Fig. 1C, D). The major taxonomic group to which each endophyte sample belonged was determined by the assignment of the most similar identified sequence. Of the fungal endophytes, 101 appear to be ascomycetes, six are zygomycetes, and one is a basidiomycete. In addition, 14 bacterial endophytes were identified, of which eight are streptomycetes. The remaining 13 cultured endophytes clustered with unidentified sequences from environmental samples. Sequences quite similar to those present in GenBank fall squarely within recognized species and genera, and are separated by short branch lengths (e.g., Fig. 1C). Conversely, our highly dissimilar endophytes connect deeply and by long branches to known sequences (e.g., Fig. 1D).
In addition to bioinformatic analyses, the majority of the cultured endophytes were assayed for bioactivity. Each endophyte was placed in the center of a Petri dish and grown for ∼14 days. Agar plugs containing test organisms were placed adjacent to an endophyte and growth was assessed over 2–5 days. Test organisms included fungi, bacteria, and oomycetes, some of which cause plant and animal diseases (e.g., Candida albicans, Escherichia coli, Phytophthora sp.). Endophytes that inhibited the growth of any of the test organisms were scored as “bioactive.” Of the 135 endophytes, 88 were assayed, and 65 of these showed bioactivity (Fig. 1A).
As expected [e.g., 7], our survey of endophytes in tropical plants yielded major undiscovered diversity. Unlike other studies, however, our coupling of sequence analyses with bioassays demonstrates that many of the previously unknown microbes produce bioactive compounds. A number of the most dissimilar endophytes were among those that showed high levels of bioactivity. For example, Fig. 1D shows the phylogenetic placement of P1802a, an ascomycete isolated from Bauhinia guianensis (Fabaceae), which inhibited the fungus Fusarium and the oomycete plant pathogens Pythium and Phytophthora. This directly demonstrates the link between the discovery of novel biodiversity and novel chemistry of potentially great importance in medicine, agriculture, and industry.
Our results, combined with knowledge that biodiversity is rapidly being lost, highlight the immediate need for more deliberate exploration of biodiversity using similar approaches. The field and laboratory methods employed here are simple, inexpensive, and readily accessible to undergraduate students, yet have the potential to yield major surprises [8]. Extending such comparisons to other habitats in the same region and to similar habitats in different regions would shed light on the degree of host specificity and spatial patterns in phylogenetic diversity and bioactivity [cf. 9]. Finally, these findings underscore the need to conserve cryptic microbial diversity, not just for the sake of sustaining ecosystem services, but to maintain options for the beneficial use of biodiversity into the future.
Materials and Methods
Molecular methods
Total genomic DNA was extracted and purified from cultured endophytes using the QIAGEN Dneasy Plant Mini Kit following the protocols of the manufacturer (QIAGEN Inc., Valencia, California, USA). DNA for sequencing the regions of interest was generated via polymerase chain reaction (PCR) using the ITS1 and ITS4 primers [10] for the nrDNA Internal Transcribed Spacer (ITS) region from fungal endophytes and the 63F and 1387 primers [11] for the 16S nrDNA from bacterial endophytes. To ensure accuracy, both strands of the cleaned PCR products were sequenced using BigDye Cycle Sequencing Kit (Applied Biosystems, Foster City, California, USA) on an ABI 3730 DNA sequencer (Applied Biosystems, Foster City, California, USA) at the W.M. Keck DNA sequencing facility at Yale University.
Sequence similarity
Each endophyte nrDNA was BLASTed against GenBank (word size = 28, match/mismatch scores 1/−2) with the closest taxonomically identified sequence returned (i.e., sequences returned from uncultured and/or unidentified environmental samples were removed from the analysis). A full local Smith-Waterman alignment was then conducted with the endophyte sequence and the GenBank sequence [12]. If the returned local alignment was shorter than the shortest sequence of the two, the alignment score was penalized accordingly; the amount unaligned in the shorter sequence was considered to be “mismatch.” For comparison to known fungal diversity, this same procedure was performed using all ascomycete nrITS sequences in GenBank. Each ascomycete was BLASTed against GenBank and the most similar sequence, excluding itself, was aligned and penalized as above (Fig. 1B).
Evolutionary distance
To put the newly discovered endophyte diversity in an explicitly evolutionary context, each endophyte nrDNA was BLASTed against GenBank (word size = 28, match/mismatch scores 1/−2) and we used Phyutility [5] to retrieve the 40 closest taxonomically identified sequences, and from each of these sets of sequences we generated a phylogenetic tree (e.g., Fig. 1C, D). These sequences were aligned with Muscle 3.7 [13] and sites with more than 50% missing data were excluded from the phylogenetic analysis. Bayesian phylogenetic analyses were performed and summarized with MrBayes 3.1.2 [14]. Each Bayesian analysis was run for 106 generations and 105 generations were removed as burn-in. The branch lengths between the endophyte branch and the sister branch were then measured and reported using the majority rule consensus tree calculated from the posterior distribution of trees (Fig. S1). If the endophyte was sister to a clade of species, then the average distance from the endophyte to each tip in the clade was used.
Bioassays
The organisms used to assay endophytic bioactivity were as follows: fungi: Botrytis sp., Candida albicans, Cerospora sp., Colletotrichum lagenarium, Fusarium solani, Geotrichum candidum, Rhizoctonia solani, Saccharomyces cervisiae, Sclerotinia sclerotiorum, Trichoderma viride, and Verticillium dahliae; bacteria: Bacillus subtilis, Escherichia coli, Klebsiella pneumoniae, and Staphylococcus epidermidis; oomycetes: Phytophthora cinnamomi and Pythium ultimum. Inhibitory activity of endophytes was scored as “none” when no inhibition was observed, “partial” if inhibition was between 0 and 100%. The percent inhibition was determined based on measurements of hyphal growth. For bacteria, estimates were made by eye, comparing streaks of bacteria on endophyte containing plates to controls lacking the endophyte.
Supporting Information
Figure S1.
Evolutionary Distance. Histogram showing the evolutionary distance of each endophyte from the most closely related sequence(s) as determined from phylogenetic analyses.
https://doi.org/10.1371/journal.pone.0003052.s001
(0.47 MB TIF)
Table S1.
Voucher and GenBank information. Plants collected and sampled for endophyte study are presented. GenBank accession numbers are also available.
https://doi.org/10.1371/journal.pone.0003052.s002
(0.21 MB DOC)
Author Contributions
Conceived and designed the experiments: GAS SAS. Performed the experiments: LAB CABS KE BB KF JSG BDH JK EGKS VK SJL PL DYL EHL CM EM MAS DV DK GAS SAS. Analyzed the data: SAS LAB CABS KE BB KF JSG BDH JK EGKS VK SJL PL DYL EHL CM EM MAS DV DK SAS. Contributed reagents/materials/analysis tools: SAS PVN SAS. Wrote the paper: SAS DCT MJD SAS.
References
- 1.
Bacon C, White J (2000) Microbial Endophytes. N.Y.: Marcel Dekker Inc.
- 2. Strobel G, Daisy B (2003) Bioprospecting for microbial endophytes and their natural products. Microbiol Mol Biol Rev 67: 491–502.
- 3. Tan R, Zou W (2001) Endophytes: a rich source of functional metabolites. Nat Prod Rep 18: 448–459.
- 4. Strobel SA, Strobel GA (2007) Plant endophytes as a platform for discovery-based undergraduate science education. Nat Chem Biol 3: 356–359.
- 5. Smith SA, Dunn CW (2008) Phyutility: a phyloinformatics tool for trees, alignments, and molecular data. Bioinformatics. in press.
- 6. Hawksworth DL (2004) Fungal diversity and its implications for genetic resource collections. Stud Mycol 50: 9–17.
- 7. Rusch DB, Halpern AL, Sutton G, Heidelberg KB, Williamson S (2007) The Sorcerer II Global Ocean Sampling Expedition: Northwest Atlantic through Eastern Tropical Pacific. PLOS Biol 5: e77.
- 8. Strobel GB, Daisy B, Castillo U, Harper J (2004) Natural products from endophytic microorganisms. J Nat Prod 67: 257–268.
- 9. Arnold AE, Lutzoni F (2007) Diversity and host range of foliar fungal endophytes: are tropical leaves biodiversity hotspots. Ecology 88: 541–549.
- 10.
White TJ, Burns T, Lee S, Taylor J (1990) Amplification and sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis MA, Gelfand DH, Sninsky JJ, White TJ, editors. PCR protocols A guide to methods and applications. San Diego (California): Academic Press. pp. 315–322.
- 11. Marchesi J, Sato T, Weightman AJ, Martin TA, Fry JC, et al. (1998) Design and Evaluation of Useful Bacterium-Specific PCR Primers That Amplify Genes Coding for Bacterial 16S rRNA. Appl Environ Microbiol 64: 795–799.
- 12. Smith TF, Waterman MS (1981) Identification of Common Molecular Subsequences. J Mol Biol 147: 195–197.
- 13. Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32: 1792–1797.
- 14. Ronquist F, Huelsenbeck JP (2003) MRBAYES 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574.