ABSTRACT
Purple non-sulfur bacteria (PNSB) are a diverse group of bacteria studied for various possible applications. They are commonly surveyed in bioenergy research as they produce biohydrogen, a candidate for clean alternative energy. This study aimed to assess the biohydrogen production ability and genetically characterize a high biohydrogen-producing PNSB (MAY2) isolated from Los Baños, Laguna, Philippines via whole genome sequencing (WGS). MAY2, when grown in mixed volatile fatty acids, produced biogas with 38% hydrogen. WGS results revealed that the isolate is positively classified under the genus Rhodobacter johrii. Also, 82 genetic hallmarks for biohydrogen production were found in the isolated genome which are involved in the production of key enzymes and proteins relevant to the photofermentative and hydrogen regulation pathways. Its nitrogenase gene cluster is stringently regulated by two genes, nifA and rofN, whose function and expression are easily affected by several environmental factors.
Subject(s)
Bacterial Proteins , Genome, Bacterial , Hydrogen , Rhodobacter , Hydrogen/metabolism , Rhodobacter/genetics , Rhodobacter/metabolism , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Whole Genome Sequencing/methods , Multigene Family , Biofuels , Phylogeny , Nitrogenase/genetics , Nitrogenase/metabolismABSTRACT
This dataset contains the gene sequences of the small and large sub-unit of the hydrogenase enzyme obtained from the annotated genome of Rhodobacter johrii MAY2. The whole genome sequence of the isolate was performed using SEED genome viewer on the Rapid Annotation using the Subsystem Technology (RAST) platform. Concurrently, guide RNA sequences and primers were meticulously crafted using the CHOPCHOP v.3.0 web tool, specifically designed for the precise editing and amplification of the target genes. The primers were optimized via gradient PCR to determine appropriate amplification conditions. Furthermore, the guide RNA was tested via in-vitro cleavage assay, gauging its efficacy in cleaving the intended target genes. The dataset, including the optimization and the cleavage assay, was deposited in Mendeley Data with DOI no: 10.17632/rcx3mcssnx.2.
