2019
DOI: 10.1101/851485
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Drivers of phyllosphere microbial functional diversity in a neotropical forest

Abstract: BackgroundThe phyllosphere is an important microbial habitat but our understanding of how plant hosts drive the composition of their associated leaf microbial communities and whether taxonomic associations between plants and phyllosphere microbes represent adaptive matching remains limited. In this study we quantify bacterial functional diversity in the phyllosphere of 17 tree species in a diverse neotropical forest using metagenomic shotgun sequencing. We ask how hosts drive the functional composition of phyl… Show more

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Cited by 3 publications
(3 citation statements)
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“…Such discrepancies in soil functionality can be related to the study design and used approaches such as molecular methods, bacterial cultural assays, soil substrate tests or predicting tools (Blagodatskaya and Kuzyakov, 2013). Despite the use of predicted functional profiles that represent microbial activity only indirectly, experimental data support our findings (Asshauer et al ., 2015; Koo et al ., 2017; Lajoie et al ., 2019). Although such tree species identity effect is context‐dependent, i.e.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such discrepancies in soil functionality can be related to the study design and used approaches such as molecular methods, bacterial cultural assays, soil substrate tests or predicting tools (Blagodatskaya and Kuzyakov, 2013). Despite the use of predicted functional profiles that represent microbial activity only indirectly, experimental data support our findings (Asshauer et al ., 2015; Koo et al ., 2017; Lajoie et al ., 2019). Although such tree species identity effect is context‐dependent, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…some bacterial groups act as tree growth promoters through phytohormones synthesis, nitrogen fixation, phosphate solubilization, synthesis of siderophores, or reduction of ethylene levels (Mercado‐Blanco et al ., 2018). Therefore, different molecular approaches, such as analysis of functional gene markers, metagenomic shotgun sequencing, or functional predictions inferred from 16S gene sequencing have been used to characterize bacterial functionality in different ecosystems (Morales et al ., 2010; Lammel et al ., 2015; Dukunde et al ., 2019; Escalas et al ., 2019; Lajoie et al ., 2019; Song et al ., 2019). Such approaches increasingly focus on the taxonomical and functional diversity of tree microbiomes (Terhonen et al ., 2018; Terhonen et al ., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The same problem arises in shotgun metagenomics and transcriptomics, which can be somewhat ameliorated by depletion or enrichment strategies to limit host contamination (113), as well as improvements in bioinformatics tools to identify and remove contaminant sequences (91). Others have separated microbial cells from plant cells by simple washing of leaf surfaces (70), density centrifugation (16), or combined chemical and physical separation (102). These efforts improve microbial sequencing, but bias in separation still needs to be investigated, particularly for filamentous fungi.…”
Section: Microbial Identification and Characterizationmentioning
confidence: 99%