Olive agroforestry shapes rhizosphere microbiome networks associated with annual crops and impacts the biomass production under low-rainfed conditions.

cereals legumes microbial network keystones olive agroforestry soil-rhizosphere sun cropping system

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2022
Historique:
received: 24 06 2022
accepted: 06 10 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 18 11 2022
Statut: epublish

Résumé

Agroforestry (AF) is a promising land-use system to mitigate water deficiency, particularly in semi-arid areas. However, the belowground microbes associated with crops below trees remain seldom addressed. This study aimed at elucidating the effects of olive AF system intercropped with durum wheat (Dw), barely (Ba), chickpea (Cp), or faba bean (Fb) on crops biomass and their soil-rhizosphere microbial networks as compared to conventional full sun cropping (SC) under rainfed conditions. To test the hypothesis, we compared the prokaryotic and the fungal communities inhabiting the rhizosphere of two cereals and legumes grown either in AF or SC. We determined the most suitable annual crop species in AF under low-rainfed conditions. Moreover, to deepen our understanding of the rhizosphere network dynamics of annual crops under AF and SC systems, we characterized the microbial hubs that are most likely responsible for modifying the microbial community structure and the variability of crop biomass of each species. Herein, we found that cereals produced significantly more above-ground biomass than legumes following in descending order: Ba > Dw > Cp > Fb, suggesting that crop species play a significant role in improving soil water use and that cereals are well-suited to rainfed conditions within both types of agrosystems. The type of agrosystem shapes crop microbiomes with the only marginal influence of host selection. However, more relevant was to unveil those crops recruits specific bacterial and fungal taxa from the olive-belowground communities. Of the selected soil physicochemical properties, organic matter was the principal driver in shaping the soil microbial structure in the AF system. The co-occurrence network analyses indicated that the AF system generates higher ecological stability than the SC system under stressful climate conditions. Furthermore, legumes' rhizosphere microbiome possessed a higher resilient capacity than cereals. We also identified different fungal keystones involved in litter decomposition and drought tolerance within AF systems facing the water-scarce condition and promoting crop production within the SC system. Overall, we showed that AF reduces cereal and legume rhizosphere microbial diversity, enhances network complexity, and leads to more stable beneficial microbial communities, especially in severe drought, thus providing more accurate predictions to preserve soil diversity under unfavorable environmental conditions.

Identifiants

pubmed: 36386625
doi: 10.3389/fmicb.2022.977797
pmc: PMC9650424
doi:

Types de publication

Journal Article

Langues

eng

Pagination

977797

Informations de copyright

Copyright © 2022 Ben zineb, Barkaoui, Karray, Mhiri, Sayadi, Mliki and Gargouri.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Ameni Ben Zineb (A)

Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, Hammam-Lif, Tunisia.

Karim Barkaoui (K)

CIRAD, UMR ABSys, Montpellier, France.
ABSys, Univ Montpellier, CIHEAM-IAMM, CIRAD, INRAE, Institut Agro, Montpellier, France.

Fatma Karray (F)

Laboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, Sfax, Tunisia.

Najla Mhiri (N)

Laboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, Sfax, Tunisia.

Sami Sayadi (S)

Biotechnology Program, Center for Sustainable Development, College of Arts and Sciences, Qatar University, Doha, Qatar.

Ahmed Mliki (A)

Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, Hammam-Lif, Tunisia.

Mahmoud Gargouri (M)

Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, Hammam-Lif, Tunisia.

Classifications MeSH