Towards Unraveling Macroecological Patterns in Rhizosphere Microbiomes.
amplicon sequencing variants
macroecological patterns
meta-analysis of sequencing data
reference database
rhizosphere microbiome
Journal
Trends in plant science
ISSN: 1878-4372
Titre abrégé: Trends Plant Sci
Pays: England
ID NLM: 9890299
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
28
11
2019
revised:
18
04
2020
accepted:
28
04
2020
pubmed:
30
5
2020
medline:
11
11
2020
entrez:
30
5
2020
Statut:
ppublish
Résumé
It is generally accepted that plants locally influence the composition and activity of their rhizosphere microbiome, and that rhizosphere community assembly further involves a hierarchy of constraints with varying strengths across spatial and temporal scales. However, our knowledge of rhizosphere microbiomes is largely based on single-location and time-point studies. Consequently, it remains difficult to predict patterns at large landscape scales, and we lack a clear understanding of how the rhizosphere microbiome forms and is maintained by drivers beyond the influence of the plant. By synthesizing recent literature and collating data on rhizosphere microbiomes, we point out the opportunities and challenges offered by advances in molecular biology, bioinformatics, and data availability. Specifically, we highlight the use of exact sequence variants, coupled with existing and newly generated data to decipher the rules of rhizosphere community assembly across large spatial and taxonomic scales.
Identifiants
pubmed: 32467065
pii: S1360-1385(20)30148-5
doi: 10.1016/j.tplants.2020.04.015
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1017-1029Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.