Literature DB >> 32705311

Local and Geographic Factors Shape the Occupancy-Frequency Distribution of Freshwater Bacteria.

Erick Mateus-Barros1,2, Michaela L de Melo3,4, Inessa L Bagatini5, Adriano Caliman6, Hugo Sarmento3.   

Abstract

Species prevalence across the landscape is related to their local abundance, which is a result of deterministic and stochastic processes that select organisms capable of recolonizing sites where they were once extinct, a process known as the rescue effect. The occupancy-frequency distribution (OFD) describes these patterns and has been extensively used to understand organism's distribution but has been poorly tested on microorganisms. In order to test OFD on freshwater bacteria, we collected data from 60 shallow lakes distributed across a wide area in southeastern Brazil, to determine the bacterial operational taxonomic units (OTUs) that were present in all sites (core) and at only one site (satellite). Then, we analyzed the spatial abundance distributions of individual OTUs to understand the influence of local abundances on regional occupancy patterns. Finally, we tested the environmental factors that influenced occupancy and abundance. We found a significant bimodal OFD for freshwater bacteria using both OTUs (97% clustering) and amplicon sequence variants (ASVs, unique sequences), with 13 core OTUs and 1169 satellite OTUs, but only three core ASVs. Core organisms had a bimodal or gamma abundance distribution. The main driver of the core community was pH, while nutrients were key when the core community was excluded and the rest of the community (mild and satellite taxa) was considered. This study demonstrates the close relationship between local environmental conditions and the abundance and dispersion of microorganisms, which shapes their distribution across the landscape.

Keywords:  Bimodal distribution; Core and satellite organisms; Diversity patterns; Microbial metacommunity

Mesh:

Substances:

Year:  2020        PMID: 32705311     DOI: 10.1007/s00248-020-01560-3

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  37 in total

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Authors:  Juan Pablo Niño-García; Clara Ruiz-González; Paul A Del Giorgio
Journal:  ISME J       Date:  2016-02-05       Impact factor: 10.302

2.  Unifying ecology to include all creatures great and small.

Authors:  M Claire Horner-Devine; Brendan J M Bohannan
Journal:  Trends Ecol Evol       Date:  2006-07-21       Impact factor: 17.712

Review 3.  Microbial biogeography: putting microorganisms on the map.

Authors:  Jennifer B Hughes Martiny; Brendan J M Bohannan; James H Brown; Robert K Colwell; Jed A Fuhrman; Jessica L Green; M Claire Horner-Devine; Matthew Kane; Jennifer Adams Krumins; Cheryl R Kuske; Peter J Morin; Shahid Naeem; Lise Ovreås; Anna-Louise Reysenbach; Val H Smith; James T Staley
Journal:  Nat Rev Microbiol       Date:  2006-02       Impact factor: 60.633

Review 4.  Beyond biogeographic patterns: processes shaping the microbial landscape.

Authors:  China A Hanson; Jed A Fuhrman; M Claire Horner-Devine; Jennifer B H Martiny
Journal:  Nat Rev Microbiol       Date:  2012-05-14       Impact factor: 60.633

Review 5.  Microbial biogeography: from taxonomy to traits.

Authors:  Jessica L Green; Brendan J M Bohannan; Rachel J Whitaker
Journal:  Science       Date:  2008-05-23       Impact factor: 47.728

6.  Metapopulation theory identifies biogeographical patterns among core and satellite marine bacteria scaling from tens to thousands of kilometers.

Authors:  Markus V Lindh; Johanna Sjöstedt; Börje Ekstam; Michele Casini; Daniel Lundin; Luisa W Hugerth; Yue O O Hu; Anders F Andersson; Agneta Andersson; Catherine Legrand; Jarone Pinhassi
Journal:  Environ Microbiol       Date:  2017-02-06       Impact factor: 5.491

7.  Landscape-scale spatial abundance distributions discriminate core from random components of boreal lake bacterioplankton.

Authors:  Juan Pablo Niño-García; Clara Ruiz-González; Paul A Del Giorgio
Journal:  Ecol Lett       Date:  2016-12       Impact factor: 9.492

8.  Comparison of two DNA extraction methods widely used in aquatic microbial ecology.

Authors:  Erick Mateus-Barros; Aylan K Meneghine; Inessa Lacativa Bagatini; Camila C Fernandes; Luciano T Kishi; Armando A H Vieira; Hugo Sarmento
Journal:  J Microbiol Methods       Date:  2019-02-06       Impact factor: 2.363

9.  Exploring the Ecological Coherence between the Spatial and Temporal Patterns of Bacterioplankton in Boreal Lakes.

Authors:  Juan Pablo Niño-García; Clara Ruiz-González; Paul A Del Giorgio
Journal:  Front Microbiol       Date:  2017-04-21       Impact factor: 5.640

Review 10.  The microbial contribution to macroecology.

Authors:  Albert Barberán; Emilio O Casamayor; Noah Fierer
Journal:  Front Microbiol       Date:  2014-05-05       Impact factor: 5.640

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  1 in total

1.  Effects of occupancy estimation on abundance-occupancy relationships.

Authors:  Cleber Ten Caten; Lauren A Holian; Tad Dallas
Journal:  Biol Lett       Date:  2022-06-08       Impact factor: 3.812

  1 in total

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