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Genome annotation and comparative genomic analysis of Bacillus subtilis MJ01, a new bio-degradation strain isolated from oil-contaminated soil

Overview of attention for article published in Functional & Integrative Genomics, May 2018
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Title
Genome annotation and comparative genomic analysis of Bacillus subtilis MJ01, a new bio-degradation strain isolated from oil-contaminated soil
Published in
Functional & Integrative Genomics, May 2018
DOI 10.1007/s10142-018-0604-1
Pubmed ID
Authors

Touraj Rahimi, Ali Niazi, Tahereh Deihimi, Seyed Mohsen Taghavi, Shahab Ayatollahi, Esmaeil Ebrahimie

Abstract

One of the main challenges in elimination of oil contamination from polluted environments is improvement of biodegradation by highly efficient microorganisms. Bacillus subtilis MJ01 has been evaluated as a new resource for producing biosurfactant compounds. This bacterium, which produces surfactin, is able to enhance bio-accessibility to oil hydrocarbons in contaminated soils. The genome of B. subtilis MJ01 was sequenced and assembled by PacBio RS sequencing technology. One big contig with a length of 4,108,293 bp without any gap was assembled. Genome annotation and prediction of gene showed that MJ01 genome is very similar to B. subtilis spizizenii TU-B-10 (95% similarity). The comparison and analysis of orthologous genes carried out between B. subtilis MJ01, reference strain B. subtilis subsp. subtilis str. 168, and close relative spizizenii TU-B-10 by microscope platform and various bioinformatics tools. More than 88% of 4269 predicted coding sequences in MJ01 had at least one similar sequence in genome of reference strain and spizizenii TU-B-10. Despite this high similarity, some differences were detected among encoding sequences of non-ribosome protein and bacteriocins in MJ01 and spizizenii TU-B-10. MJ01 has unique nucleotide sequences and a novel predicted lasso-peptide bacteriocin; it also has not any similar nucleotide sequence in non-redundant nucleotide data base.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Bachelor 5 11%
Researcher 3 7%
Student > Postgraduate 2 5%
Professor 1 2%
Other 2 5%
Unknown 22 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 2 5%
Environmental Science 1 2%
Nursing and Health Professions 1 2%
Other 3 7%
Unknown 21 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from Functional & Integrative Genomics
#386
of 521 outputs
Outputs of similar age
#288,017
of 327,168 outputs
Outputs of similar age from Functional & Integrative Genomics
#12
of 15 outputs
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