Literature DB >> 21613137

The generation and maintenance of diversity in microbial communities.

Noah Fierer1, Jay T Lennon.   

Abstract

Microorganisms play a central role in the regulation of ecosystem processes, and they comprise the vast majority of species on Earth. With recent developments in molecular methods, it has become tractable to quantify the extent of microbial diversity in natural environments. Here we examine this revolution in our understanding of microbial diversity, and we explore the factors that contribute to the seemingly astounding numbers of microbial taxa found within individual environmental samples. We conducted a meta-analysis of bacterial richness estimates from a variety of ecosystems. Nearly all environments contained hundreds to thousands of bacterial taxa, and richness levels increased with the number of individuals in a sample, a pattern consistent with those reported for nonmicrobial taxa. A cursory comparison might suggest that bacterial richness far exceeds the richness levels typically observed for plant and animal taxa. However, the apparent diversity of bacterial communities is influenced by phylogenetic breadth and allometric scaling issues. When these features are taken into consideration, the levels of microbial diversity may appear less astounding. Although the fields of ecology and biogeography have traditionally ignored microorganisms, there are no longer valid excuses for neglecting microorganisms in surveys of biodiversity. Many of the concepts developed to explain plant and animal diversity patterns can also be applied to microorganisms once we reconcile the scale of our analyses to the scale of the organisms being observed. Furthermore, knowledge from microbial systems may provide insight into the mechanisms that generate and maintain species richness in nonmicrobial systems.

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Year:  2011        PMID: 21613137     DOI: 10.3732/ajb.1000498

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  65 in total

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Authors:  Mallory J Choudoir; Daniel H Buckley
Journal:  ISME J       Date:  2018-06-07       Impact factor: 10.302

2.  Cadmium Exposure-Sedum alfredii Planting Interactions Shape the Bacterial Community in the Hyperaccumulator Plant Rhizosphere.

Authors:  Dandi Hou; Zhi Lin; Runze Wang; Jun Ge; Shuai Wei; Ruohan Xie; Haixin Wang; Kai Wang; Yanfang Hu; Xiaoe Yang; Lingli Lu; Shengke Tian
Journal:  Appl Environ Microbiol       Date:  2018-05-31       Impact factor: 4.792

Review 3.  Belowground biodiversity and ecosystem functioning.

Authors:  Richard D Bardgett; Wim H van der Putten
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Review 4.  Ecology and exploration of the rare biosphere.

Authors:  Michael D J Lynch; Josh D Neufeld
Journal:  Nat Rev Microbiol       Date:  2015-03-02       Impact factor: 60.633

5.  Small-Scale Variability in Bacterial Community Structure in Different Soil Types.

Authors:  Mylène Hugoni; Naoise Nunan; Jean Thioulouse; Audrey Dubost; Danis Abrouk; Jean M F Martins; Deborah Goffner; Claire Prigent-Combaret; Geneviève Grundmann
Journal:  Microb Ecol       Date:  2021-01-14       Impact factor: 4.552

6.  Community dynamics in rhizosphere microorganisms at different development stages of wheat growing in confined isolation environments.

Authors:  Zheng Ma; Zhihao Yi; Kaanuru Bayar; Yuming Fu; Hong Liu
Journal:  Appl Microbiol Biotechnol       Date:  2021-04-29       Impact factor: 4.813

7.  Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere.

Authors:  Tuesday Simmons; Daniel F Caddell; Siwen Deng; Devin Coleman-Derr
Journal:  J Vis Exp       Date:  2018-05-02       Impact factor: 1.355

8.  Prokaryotic communities differ along a geothermal soil photic gradient.

Authors:  James F Meadow; Catherine A Zabinski
Journal:  Microb Ecol       Date:  2012-08-29       Impact factor: 4.552

9.  Hydration dynamics promote bacterial coexistence on rough surfaces.

Authors:  Gang Wang; Dani Or
Journal:  ISME J       Date:  2012-10-11       Impact factor: 10.302

10.  Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

Authors:  Mikhail Tikhonov; Robert W Leach; Ned S Wingreen
Journal:  ISME J       Date:  2014-07-11       Impact factor: 10.302

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