"Genome-based in silico assessment of biosynthetic gene clusters in Planctomycetota: Evidences of its wide divergent nature".

Genomics

Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal; CIMAR/CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Porto, Portugal. Electronic address:

Published: November 2024

AI Article Synopsis

  • Recent analysis of 129 reference genomes and over 5,000 genomes from Planctomycetota revealed a wealth of Biosynthetic Gene Clusters (BGCs), suggesting significant biotechnological potential.
  • A total of 987 BGCs were identified in reference genomes, while a much larger number of 22,841 were found across all genomes, with certain classes showing more BGCs per genome than others.
  • A striking 88% of these predicted BGCs had no known equivalents in existing databases, highlighting the potential for discovering new compounds and advancing drug research from this unique bacterial phylum.

Article Abstract

The biotechnological potential of Planctomycetota only recently started to be unveiled. 129 reference genomes and 5194 available genomes (4988 metagenome-assembled genomes (MAGs)) were analysed regarding the presence of Biosynthetic Gene Clusters (BGCs). By antiSMASH, 987 BGCs in the reference genomes and 22,841 BGCs in all the available genomes were detected. The classes Ca Uabimicrobiia, Ca Brocadiia and Planctomycetia had the higher number of BGC per genome, while Phycisphaerae had the lowest number. The most prevalent BGCs found in Planctomycetota reference genomes were terpenes, NRPS, type III PKS, type I PKS. As much as 88 % of the predicted regions had no similarity with known clusters in MIBiG database. This study strengthens the uniqueness of Planctomycetota for the isolation of new compounds and provide an overview of BGCs taxonomic distribution and of the type of predicted product. This outline allows the acceleration and focus of the research on drug discovery in Planctomycetota.

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Source
http://dx.doi.org/10.1016/j.ygeno.2024.110965DOI Listing

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