Rhizosphere Dynamics: An OMICS Perspective

Ijaz, Munazza; Iqbal, Muhammad Sajjad; Rasool, Bilal; Zubair, Muhammad; Issayeva, Akmaral; Bukhari, Shazia Anwer; Mahmood-ur-Rahman,

doi:10.1007/978-981-16-0889-6_5

Cited by 2 publications

(1 citation statement)

References 58 publications

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“…However, the recent advancements in “omics” approaches, qPCR and non‐PCR‐based methods, community amplicon sequencing, etc. allow researchers to unravel the diversity of the microbiome and understand the complex interactions existing between microbe‐microbe and plant‐microbe (Ijaz et al, 2021; Xu, Pierroz, et al, 2021). Further, these studies can be utilized to engineer the rhizospheric microbiome as mediated by the host or for designing multispecies “synthetic” microbial communities/consortia, which can mitigate various stresses and/or promote plant growth (Saikkonen et al, 2020).…”

Section: Harnessing the Microbiome Of Plantsmentioning

confidence: 99%

Management of abiotic stresses by microbiome-based engineering of the rhizosphere

Tyagi

Pradhan

Bhattacharjee

et al. 2022

Journal of Applied Microbiology

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Abiotic stresses detrimentally affect both plant and soil health, threatening food security in an ever-increasing world population. Sustainable agriculture is necessary to augment crop yield with simultaneous management of stresses. Limitations of conventional bioinoculants have shifted the focus to more effective alternatives. With the realization of the potential of rhizospheric microbiome engineering in enhancing plant's fitness under stress, efforts have accelerated in this direction. Though still in its infancy, microbiome-based engineering has gained popularity because of its advantages over the microbe-based approach. This review briefly presents major abiotic stresses afflicting arable land, followed by an introduction to the conventional approach of microbe-based enhancement of plant attributes and stress mitigation with its inherent limitations. It then focuses on the significance of the rhizospheric microbiome and possibilities of harnessing its potential by its strategic engineering for stress management. Further, success stories related to two major approaches of microbiome engineering (generation of synthetic microbial community/consortium, and host-mediated artificial selection) pertaining to stress management have been critically presented. Together with bringing forth the challenges associated with the wide application of rhizospheric microbiome engineering in agriculture, the review proposes the adoption of a combinational scheme for the same, bringing together ecological and reductionist approaches for improvised sustainable agricultural practices.

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Section: Harnessing the Microbiome Of Plantsmentioning

confidence: 99%

Management of abiotic stresses by microbiome-based engineering of the rhizosphere

Tyagi

Pradhan

Bhattacharjee

et al. 2022

Journal of Applied Microbiology

View full text Add to dashboard Cite

show abstract

Analysis and Interpretation of metagenomics data: an approach

et al. 2022

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Advances in next-generation sequencing technologies have accelerated the momentum of metagenomic studies, which is increasing yearly. The metagenomics field is one of the versatile applications in microbiology, where any interaction in the environment involving microorganisms can be the topic of study. Due to this versatility, the number of applications of this omics technology reached its horizons. Agriculture is a crucial sector involving crop plants and microorganisms interacting together. Hence, studying these interactions through the lenses of metagenomics would completely disclose a new meaning to crop health and development. The rhizosphere is an essential reservoir of the microbial community for agricultural soil. Hence, we focus on the R&D of metagenomic studies on the rhizosphere of crops such as rice, wheat, legumes, chickpea, and sorghum. These recent developments are impossible without the continuous advancement seen in the next-generation sequencing platforms; thus, a brief introduction and analysis of the available sequencing platforms are presented here to have a clear picture of the workflow. Concluding the topic is the discussion about different pipelines applied to analyze data produced by sequencing techniques and have a significant role in interpreting the outcome of a particular experiment. A plethora of different software and tools are incorporated in the automated pipelines or individually available to perform manual metagenomic analysis. Here we describe 8–10 advanced, efficient pipelines used for analysis that explain their respective workflows to simplify the whole analysis process.

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Rhizosphere Dynamics: An OMICS Perspective

Cited by 2 publications

References 58 publications

Management of abiotic stresses by microbiome-based engineering of the rhizosphere

Management of abiotic stresses by microbiome-based engineering of the rhizosphere

Analysis and Interpretation of metagenomics data: an approach

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