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Abstract <p>The rhizosphere and endosphere of <i>Sorghum bicolor</i> serve as dynamic microenvironments supporting diverse microbial communities critical for plant health, nutrient cycling, and ecosystem sustainability. This study investigated microbial diversity, community interactions, and metabolic functions associated with <i>S. bicolor</i> across three distinct agro-climatic regions in Gujarat, India, using 16S rRNA metagenomic analysis via the Illumina platform. Microbial diversity varied significantly between the regions, with the semi-arid Dahegam location exhibiting higher species richness and evenness compared to the humid Valsad location. A total of 18 phyla and 37 genera were identified, with <i>Pseudomonadota</i> (44%) being the most dominant phylum. <i>Bosea</i> was the prevalent genus across all sites, displaying negative correlations with <i>Iamia</i> and <i>Azorhizophilus</i> and positive correlations with <i>Rhodoplanes, Klebsiella, Bacillus</i>, and <i>Pseudomonas.</i> Functional analysis identified gene families in the endophytic bacteriomes that exhibited a higher relative abundance of genes involved in biosynthetic pathways, such as the pentose phosphate pathway and lipid metabolism, while gene families in rhizospheric bacteriomes were associated with diverse metabolic processes, including the TCA cycle and nucleotide degradation. Further research with a larger and more diverse sample set is necessary to conclusively determine the impact of geographic factors on microbial communities, offering valuable insights for microbial ecology, sustainable agriculture, and crop improvement strategies.</p>

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Comparative Analysis of Microbial Diversity in the Soil Rhizosphere and Root Endosphere of Sorghum bicolor across Various Regions of Gujarat, India

  • 期刊论文

  • 发表日期：

    2025年9月17日

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  • B. Rajguru,
  • H. Bodgamwala,
  • B. Bhatt,
  • M. Shri,
  • V. D. Bhatt

摘要

Abstract

The rhizosphere and endosphere of Sorghum bicolor serve as dynamic microenvironments supporting diverse microbial communities critical for plant health, nutrient cycling, and ecosystem sustainability. This study investigated microbial diversity, community interactions, and metabolic functions associated with S. bicolor across three distinct agro-climatic regions in Gujarat, India, using 16S rRNA metagenomic analysis via the Illumina platform. Microbial diversity varied significantly between the regions, with the semi-arid Dahegam location exhibiting higher species richness and evenness compared to the humid Valsad location. A total of 18 phyla and 37 genera were identified, with Pseudomonadota (44%) being the most dominant phylum. Bosea was the prevalent genus across all sites, displaying negative correlations with Iamia and Azorhizophilus and positive correlations with Rhodoplanes, Klebsiella, Bacillus, and Pseudomonas. Functional analysis identified gene families in the endophytic bacteriomes that exhibited a higher relative abundance of genes involved in biosynthetic pathways, such as the pentose phosphate pathway and lipid metabolism, while gene families in rhizospheric bacteriomes were associated with diverse metabolic processes, including the TCA cycle and nucleotide degradation. Further research with a larger and more diverse sample set is necessary to conclusively determine the impact of geographic factors on microbial communities, offering valuable insights for microbial ecology, sustainable agriculture, and crop improvement strategies.