Literature DB >> 35394575

Exploring Newer Biosynthetic Gene Clusters in Marine Microbial Prospecting.

Manigundan Kaari1, Radhakrishnan Manikkam2, Abirami Baskaran1.   

Abstract

Marine microbes genetically evolved to survive varying salinity, temperature, pH, and other stress factors by producing different bioactive metabolites. These microbial secondary metabolites (SMs) are novel, have high potential, and could be used as lead molecule. Genome sequencing of microbes revealed that they have the capability to produce numerous novel bioactive metabolites than observed under standard in vitro culture conditions. Microbial genome has specific regions responsible for SM assembly, termed biosynthetic gene clusters (BGCs), possessing all the necessary genes to encode different enzymes required to generate SM. In order to augment the microbial chemo diversity and to activate these gene clusters, various tools and techniques are developed. Metagenomics with functional gene expression studies aids in classifying novel peptides and enzymes and also in understanding the biosynthetic pathways. Genome shuffling is a high-throughput screening approach to improve the development of SMs by incorporating genomic recombination. Transcriptionally silent or lower level BGCs can be triggered by artificially knocking promoter of target BGC. Additionally, bioinformatic tools like antiSMASH, ClustScan, NAPDOS, and ClusterFinder are effective in identifying BGCs of existing class for annotation in genomes. This review summarizes the significance of BGCs and the different approaches for detecting and elucidating BGCs from marine microbes.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biosynthetic gene clusters; Genome miming; Marine microorganisms; Omics approach; Secondary metabolites

Mesh:

Year:  2022        PMID: 35394575     DOI: 10.1007/s10126-022-10118-y

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  92 in total

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Journal:  Molecules       Date:  2021-05-17       Impact factor: 4.411

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Authors:  Fuad Ameen; Saleh AlNadhari; Ali A Al-Homaidan
Journal:  Saudi J Biol Sci       Date:  2020-10-09       Impact factor: 4.219

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Authors:  Leah C Blasiak; Jon Clardy
Journal:  J Am Chem Soc       Date:  2010-01-27       Impact factor: 15.419

8.  Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters.

Authors:  Kai Blin; Hyun Uk Kim; Marnix H Medema; Tilmann Weber
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

9.  Genome Mining of Pseudomonas Species: Diversity and Evolution of Metabolic and Biosynthetic Potential.

Authors:  Khorshed Alam; Md Mahmudul Islam; Caiyun Li; Sharmin Sultana; Lin Zhong; Qiyao Shen; Guangle Yu; Jinfang Hao; Youming Zhang; Ruijuan Li; Aiying Li
Journal:  Molecules       Date:  2021-12-12       Impact factor: 4.411

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