Metagenome dataset of lateritic soil microbiota from Sadaipur, Birbhum, West Bengal, India

Abstract

The data represents the bacterial community profile obtained through metagenomic sequencing of soil sample, collected from the ‘Rarh’ region of West Bengal, which is characterized by the lateritic badlands dating back to the late Pleistocene. Taxonomic binning and operational taxonomic unit (OTU) prediction of the Illumina sequencing data indicated the abundance Proteobacteria (61%) followed closely by Bacterioidetes (35%). The top two most abundant genera identified, were Sphingobacterium and Acinetobacter respectively. Chemical properties of soil, such as pH, organic carbon content, available nitrogen, phosphorus, and potassium were also analyzed for enabling future researchers to correlate the abundance of microbial taxa with the prevalent conditions. These findings can be effectively used to formulate strategic microbiome engineering through bioaugmentation for a sustainable agricultural system.

Marvels of Bacilli in soil amendment for plant-growth promotion toward sustainable development having futuristic socio-economic implications

“…The sequenced raw reads were processed through the FASTQC pipeline for quality checking followed by which the screened sequences surpassing the quality threshold were finally assembled via homopolymer elimination, minimization of artefactual noise and probable contamination, using SILVAngs (1.3) pipeline ( Lepinay et al, 2018 ). In accordance with the pipeline followed by Ganguli et al (2017) and Mukhopadhyay et al (2021) . Operational Taxonomic Units (OTUs) were clustered using QIIME2, and microbial abundances were analyzed using KRONA charts ( Estaki et al, 2020 ).…”

A comprehensive genomic analysis provides insights on the high environmental adaptability of Acinetobacter strains

“…Members of the genus Acinetobacter , which is in the family Moraxellaceae and order Gamma-proteobacteria, are ubiquitous in various natural environments ( Al Atrouni et al, 2016 ; Adewoyin and Okoh, 2018 ), including soil, oceans, freshwater, sediments, activated sludge, and sites contaminated with hydrocarbons ( Carr et al, 2003 ; Rocha et al, 2013 ; Krizova et al, 2014 ; Zhang et al, 2020 ). For example, the relative abundances of Acinetobacter in a municipal dumpsite, forest air, and Rarh’s laterite soil were 12, 20.9, and 31%, respectively ( Mwaikono et al, 2016 ; Fang et al, 2020 ; Mukhopadhyay et al, 2021 ). In some environments, such as drinking water and water contaminated with crude oil under microaerophilic conditions, the abundances of Acinetobacter can be as high as 47.5 and 66.3%, respectively ( Van Assche et al, 2019 ; Revesz et al, 2020 ).…”

Gullies and badlands of India: Genesis, geomorphology and land management

“…Mir et al, 2016;Brookfield et al, 2020;Sial et al, 2021) or biological aspects (e.g. Joshi and Chauhan, 1982;Joshi, 1983;Mukhopadhyay et al, 2021) and mineral exploration potential (e.g. Laxmi, Mohapatra and Bhima Rao, 2012;Mishra et al, 2019;Asnani et al, 2020) of badlands were naturally excluded.…”

“…Hillslope or valley-side gullying is observed in the Himalayas (Datt, 1991;Rao & Pant, 2001;Sinha et al, 2019) (e.g., Figure 1J), its foothills (Gargani et al, 2016;Singh, 2008) (e.g., Figure 1I), the Deccan erosion dynamics, gully erosion effects and gully control or reclamation were identified and grouped separately. Papers investigating palaeontological (e.g., Brosse et al, 2017;Singh, Pandita, et al, 2015;Tewari et al, 2015), geochronological (e.g., Brookfield et al, 2020;Mir et al, 2016;Sial et al, 2021) or biological aspects (e.g., Joshi, 1983;Joshi & Chauhan, 1982;Mukhopadhyay et al, 2021) and mineral exploration potential (e.g., Asnani et al, 2020;Laxmi et al, 2012;Mishra et al, 2019) of badlands were naturally excluded. Our final bibliography comprised 185 entries.…”