Literature DB >> 26159527

Metagenomic Assembly and Draft Genome Sequence of an Uncharacterized Prevotella sp. from Nelore Rumen.

Luciano T Kishi1, Raphael B de Jesus2, Claudio D Pavani2, Eliana G M Lemos1, Jackson A M de Souza3.   

Abstract

Prevotella is one of the most abundant genera in bovine rumen, although no genome has yet been assembled by a metagenomics approach applied to Brazilian Nelore. We report the draft genome sequence of Prevotella sp., comprising 2,971,040 bp, obtained using the Illumina sequencing platform. This genome includes 127 contigs and presents a low 48% GC.
Copyright © 2015 Kishi et al.

Entities:  

Year:  2015        PMID: 26159527      PMCID: PMC4498113          DOI: 10.1128/genomeA.00723-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Prevotella species have been isolated from a number of environments, including the human oral cavity (1), human skin abscesses (2), and soils (3). Prevotella species are also prevalent within the rumen and gastrointestinal tracts of herbivores and omnivores. The bacterial isolates used to establish the ruminal Prevotella group were originally described by Bryant et al. (4) on the basis of the nutritional requirement for hemin and were initially divided into two subspecies, Bacteroides ruminicola subsp. ruminicola (type strain 23) and B. ruminicola subsp. brevis (type strain GA33). Various ruminal bacteria, including Prevotella ruminicola 23, have been shown to have esterase activity (5). However, knowledge regarding the diversity of esterases present in the genome, including the regulation, biochemical characteristics, and mechanistic action of these enzymes, is limited. Recently, the complete genome sequence of P. ruminicola 23 was made available (6), therefore providing an opportunity to evaluate the repertoire of enzymes enabling this organism to function as a highly efficient hemicellulose-degrading bacterium. We collected ruminal content from fistulated 24-month-old Nelore cattle. Total DNA was extracted using the FastDNA SPIN kit (MP Biomedical, LLC). DNA sequencing was performed using the Illumina HiscanSQ platform. De novo assembly was carried out using IDBA_UD (7). Binning of the assembled contigs was carried out based on metagenomic read coverage, tetranucleotide frequency, and the occurrence of unique marker genes using MaxBin (8), which generated 127 clustered contigs. Our search of the 127 contigs against all bacterial and archaeal genome sequences available in the GenBank database (January 2015) using BLASTn (9) showed best hits for P. ruminicola 23. The sequence composition-based binning, the sequence homology search, and the metagenomic read recruitment collectively indicated that the 127 contigs represent well the draft genome sequence of the single-species population. The draft genome is 2,971,040 bp, with 48% GC content (N50 value, 109,266), and contains a total of 2,515 protein-coding genes, 1 rRNA, and 48 tRNAs. Gene prediction and functional annotation of the draft genome were performed using the RAST server (10). Further analysis of carbohydrate-active enzymes using the dbCAN database (11) have indicated the presence of 39 glycoside hydrolases, 43 glycosil transferases, 4 polysaccharide lyases, 20 carbohydrate esterases, 6 auxiliary activities, and 25 carbohydrate-binding modules. Functional genomics research is rapidly emerging, and its application via a metagenomics approach has revealed an important tool for the discovery and development of new and alternative pathways for biotechnology purposes. Our advances in understanding the biology and ecology of ruminal Prevotellaceae will significantly improve future applications for ruminant growth, nutrition, and even plant biomass conversion technologies.

Nucleotide sequence accession number.

The sequences were deposited in the NCBI with accession number SRX818104.
  11 in total

1.  Bacteroides ruminicola n. sp. and Succinimonas amylolytica; the new genus and species; species of succinic acid-producing anaerobic bacteria of the bovine rumen.

Authors:  M P BRYANT; N SMALL; C BOUMA; H CHU
Journal:  J Bacteriol       Date:  1958-07       Impact factor: 3.490

2.  IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.

Authors:  Yu Peng; Henry C M Leung; S M Yiu; Francis Y L Chin
Journal:  Bioinformatics       Date:  2012-04-11       Impact factor: 6.937

3.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

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Authors:  Janaki Purushe; Derrick E Fouts; Mark Morrison; Bryan A White; Roderick I Mackie; Pedro M Coutinho; Bernard Henrissat; Karen E Nelson
Journal:  Microb Ecol       Date:  2010-06-29       Impact factor: 4.552

5.  Prevotella saccharolytica sp. nov., isolated from the human oral cavity.

Authors:  Julia Downes; Anne C R Tanner; Floyd E Dewhirst; William G Wade
Journal:  Int J Syst Evol Microbiol       Date:  2009-11-27       Impact factor: 2.747

6.  Esterase activities in Butyrivibrio fibrisolvens strains.

Authors:  R B Hespell; P J O'Bryan-Shah
Journal:  Appl Environ Microbiol       Date:  1988-08       Impact factor: 4.792

7.  Prevotella pleuritidis sp. nov., isolated from pleural fluid.

Authors:  Mitsuo Sakamoto; Kiyofumi Ohkusu; Takayuki Masaki; Hirofumi Kako; Takayuki Ezaki; Yoshimi Benno
Journal:  Int J Syst Evol Microbiol       Date:  2007-08       Impact factor: 2.747

8.  dbCAN: a web resource for automated carbohydrate-active enzyme annotation.

Authors:  Yanbin Yin; Xizeng Mao; Jincai Yang; Xin Chen; Fenglou Mao; Ying Xu
Journal:  Nucleic Acids Res       Date:  2012-05-29       Impact factor: 16.971

9.  MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm.

Authors:  Yu-Wei Wu; Yung-Hsu Tang; Susannah G Tringe; Blake A Simmons; Steven W Singer
Journal:  Microbiome       Date:  2014-08-01       Impact factor: 14.650

10.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

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