AI Article Synopsis

  • Interactions between plant microbiomes and hosts are complex and can lead to either beneficial or harmful outcomes, influenced by both time and environment.
  • Host plants develop various traits to communicate and co-evolve with microbial communities, including bacteria and fungi, while microbes adapt to host signals and environmental factors.
  • Combining both culturable and unculturable microbial research can enhance our understanding and application of beneficial microbes, aiding in the development of effective bioinoculants for improved crop growth and resilience.

Article Abstract

Interactions among the plant microbiome and its host are dynamic, both spatially and temporally, leading to beneficial or pathogenic relationships in the rhizosphere, phyllosphere, and endosphere. These interactions range from cellular to molecular and genomic levels, exemplified by many complementing and coevolutionary relationships. The host plants acquire many metabolic and developmental traits such as alteration in their exudation pattern, acquisition of systemic tolerance, and coordination of signaling metabolites to interact with the microbial partners including bacteria, fungi, archaea, protists, and viruses. The microbiome responds by gaining or losing its traits to various molecular signals from the host plants and the environment. Such adaptive traits in the host and microbial partners make way for their coexistence, living together on, around, or inside the plants. The beneficial plant microbiome interactions have been exploited using traditional culturable approaches by isolating microbes with target functions, clearly contributing toward the host plants' growth, fitness, and stress resilience. The new knowledge gained on the unculturable members of the plant microbiome using metagenome research has clearly indicated the predominance of particular phyla/genera with presumptive functions. Practically, the culturable approach gives beneficial microbes in hand for direct use, whereas the unculturable approach gives the perfect theoretical information about the taxonomy and metabolic potential of well-colonized major microbial groups associated with the plants. To capitalize on such beneficial, endemic, and functionally diverse microbiome, the strategic approach of concomitant use of culture-dependent and culture-independent techniques would help in designing novel "biologicals" for various crops. The designed biologicals (or bioinoculants) should ensure the community's persistence due to their genomic and functional abilities. Here, we discuss the current paradigm on plant-microbiome-induced adaptive functions for the host and the strategies for synthesizing novel bioinoculants based on functions or phylum predominance of microbial communities using culturable and unculturable approaches. The effective crop-specific inclusive microbial community bioinoculants may lead to reduction in the cost of cultivation and improvement in soil and plant health for sustainable agriculture.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963471PMC
http://dx.doi.org/10.3389/fmicb.2021.805498DOI Listing

Publication Analysis

Top Keywords

plant microbiome
12
microbial community
8
sustainable agriculture
8
host plants
8
microbial partners
8
microbial
6
host
6
microbiome
5
community function-based
4
function-based synthetic
4

Similar Publications

HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data.

PLoS Comput Biol

January 2025

Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

High-dimensional mixed-effects models are an increasingly important form of regression in which the number of covariates rivals or exceeds the number of samples, which are collected in groups or clusters. The penalized likelihood approach to fitting these models relies on a coordinate descent algorithm that lacks guarantees of convergence to a global optimum. Here, we empirically study the behavior of this algorithm on simulated and real examples of three types of data that are common in modern biology: transcriptome, genome-wide association, and microbiome data.

View Article and Find Full Text PDF

Exploring Tetraselmis chui microbiomes-functional metagenomics for novel catalases and superoxide dismutases.

Appl Microbiol Biotechnol

January 2025

Department of Microbiology and Biotechnology, Institute of Plant Science and Microbiology, University of Hamburg, Ohnhorststr.18, 22609, Hamburg, Germany.

The focus on microalgae for applications in several fields, e.g. resources for biofuel, the food industry, cosmetics, nutraceuticals, biotechnology, and healthcare, has gained increasing attention over the last decades.

View Article and Find Full Text PDF

Effect of the Starchy Legume Source on the In Vitro Fermentation of the Fecal Microbiota from Normal-Weight and Obese Individuals.

Plant Foods Hum Nutr

January 2025

Centro de Desarrollo de Productos Bióticos, Instituto Politécnico Nacional, Col. San Isidro, Km 8.5 Carr. Yautepec-Jojutla, Yautepec, Morelos, C.P. 62731, México.

The relationship between the gut microbiota (GM) and the health of human beings has been a topic of growing interest in the last few years. Legumes are a rich source of indigestible carbohydrates, including resistant starch (RS), which are substrates of the GM. The aim of this study was to evaluate the effect of the indigestible fraction of legumes on the fecal microbiota of normal-weight (NW) and obese (O) donors.

View Article and Find Full Text PDF

Camellia seed oil (CSO), a potential prebiotic agent, can significantly increase the relative abundance of () in mice gut microbiota following oral administration, this study aims to investigate the enhancing effect in vitro. The results showed that after 24-h co-cultivation with 0.5% (v/v) CSO, the growth of increased from 11.

View Article and Find Full Text PDF

is a kind of popular functional food to be consumed by both healthy and diabetic people. As its major constituent, polysaccharide (DOP) is mainly utilized by gut microbiota. Despite distinctive gut microbiota composition between healthy and diabetic individuals, no study compared the interplay between DOP and gut microbiota under healthy and diabetic status.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!