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Subterranean microbiome affiliations of plantain (Musa spp.) under diverse agroecologies of western and central Africa
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Date
2021Author
Kaushal, M.
Kolombia, Y.A.
Alakonya, A.
Fotso Kuate, A.
Ortega-Beltran, A.
Amah, D.
Masso, C.
Type
Review Status
Peer ReviewTarget Audience
Scientists
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Show full item recordAbstract/Description
Plantain (Musa spp.) is a staple food crop and an important source of income for millions of smallholder farmers in sub-Saharan Africa (SSA). However, there is a paucity of knowledge on soil microbial diversity in agroecologies where plantains are grown. Microbial diversity that increases plant performance with multi-trophic interactions involving resiliency to environmental constraints is greatly needed. For this purpose, the bacterial and fungal communities of plantain fields in high rainfall forests (HR) and derived savannas (SV) were studied using Illumina MiSeq for 16S rDNA and ITS amplicon deep sequencing. Microbial richness (α- and β-diversity), operational taxonomic units, and Simpson and Shannon–Wiener indexes (observed species (Sobs), Chao, ACE; P < 0.05) suggested that there were significant differences between HR and SV agroecologies among the most abundant bacterial communities, and some specific dynamic response observed from fungal communities. Proteobacteria formed the predominant bacterial phylum (43.7%) succeeded by Firmicutes (24.7%), and Bacteroidetes (17.6%). Ascomycota, Basidiomycota, and Zygomycota were the three most dominant fungal phyla in both agroecologies. The results also revealed an immense array of beneficial microbes in the roots and rhizosphere of plantain, including Acinetobacter, Bacillus, and Pseudomonas spp. COG and KEGG Orthology database depicted significant variations in the functional attributes of microbes found in the rhizosphere to roots. This result indicates that the different agroecologies and host habitats differentially support the dynamic microbial profile and that helps in altering the structure in the rhizosphere zone for the sake of promoting synergistic host-microbe interactions particularly under resource-poor conditions of SSA.
Acknowledgements
The authors are grateful to Mr. Alabi Tunrayo, GIS support service manager, GeoSpatial Lab, IITA, Ibadan, Nigeria, for his valuable contribution in this project.
https://dx.doi.org/10.1007/s00248-021-01873-x
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Permanent link to this item
https://hdl.handle.net/20.500.12478/7271IITA Authors ORCID
amos Alakonyahttps://orcid.org/0000-0001-7710-499X
Fotso Kuate, A.https://orcid.org/0000-0002-5247-7519
Alejandro Ortega-Beltranhttps://orcid.org/0000-0003-3747-8094
Delphine Amahhttps://orcid.org/0000-0002-5706-8773
Cargele Massohttps://orcid.org/0000-0002-3980-6832
Digital Object Identifier (DOI)
https://dx.doi.org/10.1007/s00248-021-01873-x