Literature DB >> 33877964

Nutrient dominance governs the assembly of microbial communities in mixed nutrient environments.

Sylvie Estrela1, Alicia Sanchez-Gorostiaga1,2, Jean Cc Vila1, Alvaro Sanchez1.   

Abstract

A major open question in microbial community ecology is whether we can predict how the components of a diet collectively determine the taxonomic composition of microbial communities. Motivated by this challenge, we investigate whether communities assembled in pairs of nutrients can be predicted from those assembled in every single nutrient alone. We find that although the null, naturally additive model generally predicts well the family-level community composition, there exist systematic deviations from the additive predictions that reflect generic patterns of nutrient dominance at the family level. Pairs of more-similar nutrients (e.g. two sugars) are on average more additive than pairs of more dissimilar nutrients (one sugar-one organic acid). Furthermore, sugar-acid communities are generally more similar to the sugar than the acid community, which may be explained by family-level asymmetries in nutrient benefits. Overall, our results suggest that regularities in how nutrients interact may help predict community responses to dietary changes.
© 2021, Estrela et al.

Entities:  

Keywords:  Microbial community assembly; computational biology; consumer-resource models; ecology; environmental complexity; nutrient interactions; resource specialization; systems biology

Year:  2021        PMID: 33877964     DOI: 10.7554/eLife.65948

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  11 in total

Review 1.  Ecological modelling approaches for predicting emergent properties in microbial communities.

Authors:  Naomi Iris van den Berg; Daniel Machado; Sophia Santos; Isabel Rocha; Jeremy Chacón; William Harcombe; Sara Mitri; Kiran R Patil
Journal:  Nat Ecol Evol       Date:  2022-05-16       Impact factor: 19.100

2.  Diversity begets diversity during community assembly until ecological limits impose a diversity ceiling.

Authors:  Magdalena San Roman; Andreas Wagner
Journal:  Mol Ecol       Date:  2021-09-22       Impact factor: 6.622

3.  Environmental connectivity controls diversity in soil microbial communities.

Authors:  Manupriyam Dubey; Noushin Hadadi; Serge Pelet; Nicolas Carraro; David R Johnson; Jan R van der Meer
Journal:  Commun Biol       Date:  2021-04-22

4.  Top-Down Enrichment Strategy to Co-cultivate Lactic Acid and Lignocellulolytic Bacteria From the Megathyrsus maximus Phyllosphere.

Authors:  Laura Díaz-García; Dayanne Chaparro; Hugo Jiménez; Luis Fernando Gómez-Ramírez; Adriana J Bernal; Esteban Burbano-Erazo; Diego Javier Jiménez
Journal:  Front Microbiol       Date:  2021-11-02       Impact factor: 5.640

5.  Determinism of microbial community assembly by drastic environmental change.

Authors:  Akifumi Nishida; Mayuko Nakagawa; Masayuki Yamamura
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

6.  Bacillus velezensis stimulates resident rhizosphere Pseudomonas stutzeri for plant health through metabolic interactions.

Authors:  Xinli Sun; Zhihui Xu; Jiyu Xie; Viktor Hesselberg-Thomsen; Taimeng Tan; Daoyue Zheng; Mikael L Strube; Anna Dragoš; Qirong Shen; Ruifu Zhang; Ákos T Kovács
Journal:  ISME J       Date:  2021-09-30       Impact factor: 10.302

7.  McComedy: A user-friendly tool for next-generation individual-based modeling of microbial consumer-resource systems.

Authors:  André Bogdanowski; Thomas Banitz; Linea Katharina Muhsal; Christian Kost; Karin Frank
Journal:  PLoS Comput Biol       Date:  2022-01-24       Impact factor: 4.475

8.  Stability criteria for the consumption and exchange of essential resources.

Authors:  Theo Gibbs; Yifan Zhang; Zachary R Miller; James P O'Dwyer
Journal:  PLoS Comput Biol       Date:  2022-09-08       Impact factor: 4.779

9.  An evolutionary algorithm for designing microbial communities via environmental modification.

Authors:  Alan R Pacheco; Daniel Segrè
Journal:  J R Soc Interface       Date:  2021-06-23       Impact factor: 4.118

10.  Top-down and bottom-up cohesiveness in microbial community coalescence.

Authors:  Juan Diaz-Colunga; Nanxi Lu; Alicia Sanchez-Gorostiaga; Chang-Yu Chang; Helen S Cai; Joshua E Goldford; Mikhail Tikhonov; Álvaro Sánchez
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-08       Impact factor: 12.779

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.