Cargando…

Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere

Different cultivation practices and climatic conditions play an important role in governing and modulating soil microbial communities as well as soil health. This study investigated, for the first time, keystone microbial taxa inhabiting the rhizosphere of sweet sorghum (Sorghum bicolor) under exten...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumar, Ashwani, Dubey, Anamika, Malla, Muneer Ahmad, Dames, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610313/
https://www.ncbi.nlm.nih.gov/pubmed/34841316
http://dx.doi.org/10.1016/j.crmicr.2021.100025
_version_ 1784603086582448128
author Kumar, Ashwani
Dubey, Anamika
Malla, Muneer Ahmad
Dames, Joanna
author_facet Kumar, Ashwani
Dubey, Anamika
Malla, Muneer Ahmad
Dames, Joanna
author_sort Kumar, Ashwani
collection PubMed
description Different cultivation practices and climatic conditions play an important role in governing and modulating soil microbial communities as well as soil health. This study investigated, for the first time, keystone microbial taxa inhabiting the rhizosphere of sweet sorghum (Sorghum bicolor) under extensive cultivation practices at three different field sites of South Africa (North West-South (ASHSOIL1); Mpumalanga-West – (ASHSOIL2); and Free State-North West – (ASHSOIL3)). Soil analysis of these sites revealed differences in P, K, Mg, and pH. 16S rRNA amplicon sequencing data revealed that the rhizosphere bacterial microbiome differed significantly both in the structure and composition across the samples. The sequencing data revealed that at the phylum level, the dominant group was Cyanobacteria with a relative abundance of 63.3%, 71.8%, and 81.6% from ASHSOIL1, ASHSOIL2, and ASHSOIL3, respectively. Putative metabolic requirements analyzed by METAGENassist software revealed the ASHSOIL1 sample as the prominent ammonia degrader (21.1%), followed by ASHSOIL3 (17.3%) and ASHSOIL2 (11.1%). The majority of core-microbiome taxa were found to be from Cyanobacteria, Bacteroidetes, and Proteobacteria. Functionally, community-level physiological profiling (CLPP) analysis revealed that the metabolic activity of the bacterial community in ASHSOIL3 was the highest, followed by ASHSOIL1 and ASHSOIL2. This study showed that soil pH and nutrient availability and cultivation practices played significant roles in governing the bacterial community composition in the sorghum rhizosphere across the different sites.
format Online
Article
Text
id pubmed-8610313
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-86103132021-11-26 Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere Kumar, Ashwani Dubey, Anamika Malla, Muneer Ahmad Dames, Joanna Curr Res Microb Sci Research Paper Different cultivation practices and climatic conditions play an important role in governing and modulating soil microbial communities as well as soil health. This study investigated, for the first time, keystone microbial taxa inhabiting the rhizosphere of sweet sorghum (Sorghum bicolor) under extensive cultivation practices at three different field sites of South Africa (North West-South (ASHSOIL1); Mpumalanga-West – (ASHSOIL2); and Free State-North West – (ASHSOIL3)). Soil analysis of these sites revealed differences in P, K, Mg, and pH. 16S rRNA amplicon sequencing data revealed that the rhizosphere bacterial microbiome differed significantly both in the structure and composition across the samples. The sequencing data revealed that at the phylum level, the dominant group was Cyanobacteria with a relative abundance of 63.3%, 71.8%, and 81.6% from ASHSOIL1, ASHSOIL2, and ASHSOIL3, respectively. Putative metabolic requirements analyzed by METAGENassist software revealed the ASHSOIL1 sample as the prominent ammonia degrader (21.1%), followed by ASHSOIL3 (17.3%) and ASHSOIL2 (11.1%). The majority of core-microbiome taxa were found to be from Cyanobacteria, Bacteroidetes, and Proteobacteria. Functionally, community-level physiological profiling (CLPP) analysis revealed that the metabolic activity of the bacterial community in ASHSOIL3 was the highest, followed by ASHSOIL1 and ASHSOIL2. This study showed that soil pH and nutrient availability and cultivation practices played significant roles in governing the bacterial community composition in the sorghum rhizosphere across the different sites. Elsevier 2021-03-02 /pmc/articles/PMC8610313/ /pubmed/34841316 http://dx.doi.org/10.1016/j.crmicr.2021.100025 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Kumar, Ashwani
Dubey, Anamika
Malla, Muneer Ahmad
Dames, Joanna
Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title_full Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title_fullStr Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title_full_unstemmed Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title_short Pyrosequencing and phenotypic microarray to decipher bacterial community variation in Sorghum bicolor (L.) Moench rhizosphere
title_sort pyrosequencing and phenotypic microarray to decipher bacterial community variation in sorghum bicolor (l.) moench rhizosphere
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610313/
https://www.ncbi.nlm.nih.gov/pubmed/34841316
http://dx.doi.org/10.1016/j.crmicr.2021.100025
work_keys_str_mv AT kumarashwani pyrosequencingandphenotypicmicroarraytodecipherbacterialcommunityvariationinsorghumbicolorlmoenchrhizosphere
AT dubeyanamika pyrosequencingandphenotypicmicroarraytodecipherbacterialcommunityvariationinsorghumbicolorlmoenchrhizosphere
AT mallamuneerahmad pyrosequencingandphenotypicmicroarraytodecipherbacterialcommunityvariationinsorghumbicolorlmoenchrhizosphere
AT damesjoanna pyrosequencingandphenotypicmicroarraytodecipherbacterialcommunityvariationinsorghumbicolorlmoenchrhizosphere