Cited by 400Plant-Microbe Interactions and ImmunityLegume Nitrogen Fixing SymbiosisMycorrhizal Fungi and Plant Interactions

Functional Soil Microbiome: Belowground Solutions to an Aboveground Problem

Open access
Lakshmanan, Venkatachalam, Selvaraj, Gopinath, Bais, Harsh P.·2014·Plant Physiology

Abstract

There is considerable evidence in the literature that beneficial rhizospheric microbes can alter plant morphology, enhance plant growth, and increase mineral content. Of late, there is a surge to understand the impact of the microbiome on plant health. Recent research shows the utilization of novel sequencing techniques to identify the microbiome in model systems such as Arabidopsis (Arabidopsis thaliana) and maize (Zea mays). However, it is not known how the community of microbes identified may play a role to improve plant health and fitness. There are very few detailed studies with isolated beneficial microbes showing the importance of the functional microbiome in plant fitness and disease protection. Some recent work on the cultivated microbiome in rice (Oryza sativa) shows that a wide diversity of bacterial species is associated with the roots of field-grown rice plants. However, the biological significance and potential effects of the microbiome on the host plants are completely unknown. Work performed with isolated strains showed various genetic pathways that are involved in the recognition of host-specific factors that play roles in beneficial host-microbe interactions. The composition of the microbiome in plants is dynamic and controlled by multiple factors. In the case of the rhizosphere, temperature, pH, and the presence of chemical signals from bacteria, plants, and nematodes all shape the environment and influence which organisms will flourish. This provides a basis for plants and their microbiomes to selectively associate with one another. This Update addresses the importance of the functional microbiome to identify phenotypes that may provide a sustainable and effective strategy to increase crop yield and food security.

Integrity signals

Registry

Crossref · 10.1104/pp.114.245811

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lakshmanan, V., Selvaraj, G., & Bais, H. P.
Affiliations
Delaware Biotechnology Institute (US)
Venue
Plant Physiology
Published
2014-07-24
Volume
166
Issue
2
Pages
689-700
ISSN
  • 0032-0889 (ISSN-L)
  • 1532-2548
OpenAlex
W2156730371
Cited by
400
References
2
Citations by year
2026: 15 · 2025: 29 · 2024: 28 · 2023: 33 · 2022: 33 · 2021: 63 · 2020: 54 · 2019: 38 · 2018: 34 · 2017: 25 · 2016: 27 · 2015: 20 · 2014: 1
FWCI
28.44
Type
journal article
Language
en
Open access
Locations
  • PLANT PHYSIOLOGY (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of General Medical Sciences (P20GM103446)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant-Microbe Interactions and Immunity
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Legume Nitrogen Fixing Symbiosis
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Mycorrhizal Fungi and Plant Interactions
Keywords
plant microbiome, rhizosphere, root-associated bacteria, plant growth promotion, plant health, host-microbe interactions, Arabidopsis, maize, crop yield, food security, microbial community dynamics, plant disease control
MeSH terms
Zea mays, Soil Microbiology, Arabidopsis, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review