Dominant role of abundant rather than rare bacterial taxa in maintaining agro-soil microbiomes under environmental disturbances DOI
Shuo Jiao,

Junman Wang,

Gehong Wei

et al.

Chemosphere, Journal Year: 2019, Volume and Issue: 235, P. 248 - 259

Published: June 24, 2019

Language: Английский

Keystone taxa as drivers of microbiome structure and functioning DOI
Samiran Banerjee, Klaus Schlaeppi, Marcel G. A. van der Heijden

et al.

Nature Reviews Microbiology, Journal Year: 2018, Volume and Issue: 16(9), P. 567 - 576

Published: May 22, 2018

Language: Английский

Citations

2090

Function and functional redundancy in microbial systems DOI

Stilianos Louca,

Martin F. Polz, Florent Mazel

et al.

Nature Ecology & Evolution, Journal Year: 2018, Volume and Issue: 2(6), P. 936 - 943

Published: April 12, 2018

Language: Английский

Citations

1322

Determinants of community structure in the global plankton interactome DOI
Gipsi Lima‐Mendez, Karoline Faust, Nicolas Henry

et al.

Science, Journal Year: 2015, Volume and Issue: 348(6237)

Published: May 22, 2015

Species interaction networks are shaped by abiotic and biotic factors. Here, as part of the Tara Oceans project, we studied photic zone interactome using environmental factors organismal abundance profiles found that incomplete predictors community structure. We associations across plankton functional types phylogenetic groups to be nonrandomly distributed on network driven both local global patterns. identified interactions among grazers, primary producers, viruses, (mainly parasitic) symbionts validated network-generated hypotheses microscopy confirm symbiotic relationships. have thus provided a resource support further research ocean food webs integrating biological components into models.

Language: Английский

Citations

881

25 years of serving the community with ribosomal RNA gene reference databases and tools DOI Creative Commons
Frank Oliver Glöckner, Pelin Yilmaz, Christian Quast

et al.

Journal of Biotechnology, Journal Year: 2017, Volume and Issue: 261, P. 169 - 176

Published: June 23, 2017

SILVA (lat. forest) is a comprehensive web resource, providing services around up to date, high-quality datasets of aligned ribosomal RNA gene (rDNA) sequences from the Bacteria, Archaea, and Eukaryota domains. dates back year 1991 when Dr. Wolfgang Ludwig Technical University Munich started integrated software workbench ARB tree) support phylogenetic inference taxonomy based on SSU LSU rDNA marker genes. At that time, project maintained both, sequence reference package for data analysis. In 2005, with massive increase DNA data, maintenance system corresponding rRNA databases was split between Microbial Genomics Bioinformatics Research Group in Bremen. has been continuously developed include new features improve usability workbench. Thousands users worldwide appreciate seamless integration common analysis tools under central graphical user interface, combination its versatility. The first release deployed February 2007 EMBL-EBI/ENA 89. Since then, full releases offering database content various flavours are published at least annually, complemented by intermediate web-releases where only dataset updated. special emphasis given consistent naming clades uncultivated (environmental) sequences, no validly described cultivated representatives available. Also exclusive both 16S/18S 23S/28S datasets. Furthermore, alignments trees were designed Eukaryota, another unique feature among databases. With termination European Ribosomal Database Project 2007, become authoritative Europe. application spectrum ranges biodiversity analysis, medical diagnostics, biotechnology quality control academia industry.

Language: Английский

Citations

789

Balance between community assembly processes mediates species coexistence in agricultural soil microbiomes across eastern China DOI Open Access
Shuo Jiao, Yunfeng Yang,

Yiqin Xu

et al.

The ISME Journal, Journal Year: 2019, Volume and Issue: 14(1), P. 202 - 216

Published: Oct. 14, 2019

Language: Английский

Citations

780

Environmental DNA DOI
Pierre Taberlet, Aurélie Bonin, Lucie Zinger

et al.

Oxford University Press eBooks, Journal Year: 2018, Volume and Issue: unknown

Published: Feb. 15, 2018

Abstract Environmental DNA (eDNA), i.e. released in the environment by any living form, represents a formidable opportunity to gather high-throughput and standard information on distribution or feeding habits of species. It has therefore great potential for applications ecology biodiversity management. However, this research field is fast-moving, involves different areas expertise currently lacks approaches, which calls an up-to-date comprehensive synthesis. monitoring covers current methods based eDNA, with particular focus “eDNA metabarcoding”. Intended scientists managers, it provides background allow design sound experiments. revisits all steps necessary produce high-quality metabarcoding data such as sampling, metabarcode design, optimization PCR sequencing protocols, well analysis large datasets. All these are presented discussing challenges eDNA-based approaches infer parameters ecological processes. The last chapters book review how been used so far unravel novel patterns diversity space time, detect species, answer new questions various ecosystems organisms. constitutes essential reading graduate students, researchers practitioners who do not have strong molecular genetics willing use eDNA biomonitoring.

Language: Английский

Citations

774

Phage puppet masters of the marine microbial realm DOI
Mya Breitbart,

Chelsea Bonnain,

Kema Malki

et al.

Nature Microbiology, Journal Year: 2018, Volume and Issue: 3(7), P. 754 - 766

Published: June 1, 2018

Language: Английский

Citations

580

Specialized metabolic functions of keystone taxa sustain soil microbiome stability DOI Creative Commons
Weibing Xun, Yunpeng Liu, Wei Li

et al.

Microbiome, Journal Year: 2021, Volume and Issue: 9(1)

Published: Jan. 31, 2021

The relationship between biodiversity and soil microbiome stability remains poorly understood. Here, we investigated the impacts of bacterial phylogenetic diversity on functional traits microbiome. Communities differing in were generated by inoculating serially diluted suspensions into sterilized soil, was assessed detecting community variations under various pH levels. taxonomic features potential detected DNA sequencing.We found that communities with higher tended to be more stable, implying microbiomes are resistant perturbation. Functional gene co-occurrence network machine learning classification analyses identified specialized metabolic functions, especially "nitrogen metabolism" "phosphonate phosphinate metabolism," as keystone functions. Further annotation functions carried out specific taxa, including Nitrospira Gemmatimonas, among others.This study provides new insights our understanding relationships ecosystem highlights embedded taxa may essential for stability. Video abstract.

Language: Английский

Citations

442

Contrasting the relative importance of species sorting and dispersal limitation in shaping marine bacterial versus protist communities DOI Open Access
Wenxue Wu, Hsiao‐Pei Lu, Akash R. Sastri

et al.

The ISME Journal, Journal Year: 2017, Volume and Issue: 12(2), P. 485 - 494

Published: Nov. 10, 2017

Language: Английский

Citations

419

Metagenomics meets time series analysis: unraveling microbial community dynamics DOI Creative Commons
Karoline Faust, Leo Lahti, Didier Gonze

et al.

Current Opinion in Microbiology, Journal Year: 2015, Volume and Issue: 25, P. 56 - 66

Published: May 22, 2015

Language: Английский

Citations

402