Literature DB >> 30559036

Evidence of selective pressure in whale fall microbiome proteins and its potential application to industry.

Robert Cardoso de Freitas1, Helena Isabel Ferreira Marques1, Marcus Adonai Castro da Silva1, Angélica Cavalett1, Estácio Jussie Odisi1, Bianca Linhares da Silva1, Jessica Engel Montemor1, Takashi Toyofuku2, Chiaki Kato2, Katsunori Fujikura2, Hiroshi Kitazato2, André Oliveira de Souza Lima3.   

Abstract

The present study addresses the microbiome of the first whale fall (YOKO 16) that has been described in the deep sea in the southern Atlantic Ocean (São Paulo Plateau; 4204 m depth), in terms of its metabolic uniqueness. Sets of ten thousand protein sequences from YOKO 16 and 29 public domain metagenomes (SRA and GenBank databases) that represent various marine, terrestrial and gut-associated microbial communities were analyzed. The determination of protein functionality, based on the KAAS server, indicated that the YOKO 16 microbiome has industrially-relevant proteins, such as proteases and lipases, that have low similarity (~50%) with previously-described enzymes. The amino acid usage in the YOKO 16 protein sequences (based on blastp and Clustal analysis) revealed a pattern of preference similar to that of extremophiles, with an increased usage of polar, charged and acidic amino acids and a decreased usage of nonpolar residues. We concluded that the targeted microbiome is of potential biotechnological use, which justifies the allocation of resources for the discovery of enzymes in deep-sea whale fall communities.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Deep sea; Marine bacteria; Metagenomics

Mesh:

Substances:

Year:  2018        PMID: 30559036     DOI: 10.1016/j.margen.2018.11.004

Source DB:  PubMed          Journal:  Mar Genomics        ISSN: 1874-7787            Impact factor:   1.710


  2 in total

1.  Draft genome sequence of Psychrobacter nivimaris LAMA 639 and its biotechnological potential.

Authors:  Brendon Egon Kormann Staloch; Henrique Niero; Robert Cardoso de Freitas; Patricia Ballone; Fernanda Rodrigues-Costa; Daniela Barretto Barbosa Trivella; Andréa Dessen; Marcus Adonai Castro da Silva; André Oliveira de Souza Lima
Journal:  Data Brief       Date:  2022-02-05

2.  The bone-degrading enzyme machinery: From multi-component understanding to the treatment of residues from the meat industry.

Authors:  Laura Fernandez-Lopez; Sergio Sanchez-Carrillo; Antonio García-Moyano; Erik Borchert; David Almendral; Sandra Alonso; Isabel Cea-Rama; Noa Miguez; Øivind Larsen; Johannes Werner; Kira S Makarova; Francisco J Plou; Thomas G Dahlgren; Julia Sanz-Aparicio; Ute Hentschel; Gro Elin Kjæreng Bjerga; Manuel Ferrer
Journal:  Comput Struct Biotechnol J       Date:  2021-11-23       Impact factor: 7.271

  2 in total

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