Literature DB >> 33458736

Genomic sequencing of different sequevars of Ralstonia solanacearum belonging to the Moko ecotype.

Ana Karolina Leite Pais1, Jessica Rodrigues da Silva2, Leandro Victor Silva Dos Santos1, Greecy Mirian Rodrigues Albuquerque1, Antonio Roberto Gomes de Farias1, Wilson José Silva Junior3, Valdir de Queiroz Balbino3, Adriano Márcio Freire Silva4, Marco Aurélio Siqueira da Gama1, Elineide Barbosa de Souza5.   

Abstract

Banana vascular wilt or Moko is a disease caused by Ralstonia solanacearum. This study aimed to sequence, assemble, annotate, and compare the genomes of R. solanacearum Moko ecotypes of different sequevar strains from Brazil. Average nucleotide identity analyses demonstrated a high correlation (> 96%) between the genome sequences of strains CCRMRs277 (sequevar IIA-24), CCRMRs287 (IIB-4), CCRMRs304 (IIA-24), and CCRMRsB7 (IIB-25), which were grouped into phylotypes IIA and IIB. The number of coding sequences present in chromosomes and megaplasmids varied from 3,070 to 3,521 and 1,669 to 1,750, respectively. Pangenome analysis identified 3,378 clusters in the chromosomes, of which 2,604 were shared by all four analyzed genomes and 2,580 were single copies. In megaplasmids, 1,834 clusters were identified, of which 1,005 were shared by all four genomes and 992 were identified as single copies. Strains CCRMRsB7 and CCRMRs287 differed from the others by having unique clusters in both their chromosomes and megaplasmids, and CCRMRsB7 possessed the largest genome among all Moko ecotype strains sequenced to date. Therefore, the genomic information obtained in this study provides a theoretical basis for the identification, characterization, and phylogenetic analysis of R. solanacearum Moko ecotypes.

Entities:  

Year:  2021        PMID: 33458736      PMCID: PMC7917543          DOI: 10.1590/1678-4685-GMB-2020-0172

Source DB:  PubMed          Journal:  Genet Mol Biol        ISSN: 1415-4757            Impact factor:   1.771


  16 in total

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Authors:  Aaron C E Darling; Bob Mau; Frederick R Blattner; Nicole T Perna
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

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Authors:  Mathieu Seppey; Mosè Manni; Evgeny M Zdobnov
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Authors:  G Cellier; P Prior
Journal:  Phytopathology       Date:  2010-11       Impact factor: 4.025

4.  Moko Disease-Causing Strains of Ralstonia solanacearum from Brazil Extend Known Diversity in Paraphyletic Phylotype II.

Authors:  Greecy M R Albuquerque; Liliana A Santos; Kátia C S Felix; Christtianno L Rollemberg; Adriano M F Silva; Elineide B Souza; Gilles Cellier; Philippe Prior; Rosa L R Mariano
Journal:  Phytopathology       Date:  2014-11       Impact factor: 4.025

5.  Genomic structure and phylogeny of the plant pathogen Ralstonia solanacearum inferred from gene distribution analysis.

Authors:  Alice Guidot; Philippe Prior; Jens Schoenfeld; Sébastien Carrère; Stéphane Genin; Christian Boucher
Journal:  J Bacteriol       Date:  2006-11-03       Impact factor: 3.490

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Authors:  Michael Richter; Ramon Rosselló-Móra
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-23       Impact factor: 11.205

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Journal:  Genome Biol       Date:  2004-01-30       Impact factor: 13.583

8.  RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes.

Authors:  Thomas Brettin; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; James A Thomason; Rick Stevens; Veronika Vonstein; Alice R Wattam; Fangfang Xia
Journal:  Sci Rep       Date:  2015-02-10       Impact factor: 4.379

9.  OrthoVenn: a web server for genome wide comparison and annotation of orthologous clusters across multiple species.

Authors:  Yi Wang; Devin Coleman-Derr; Guoping Chen; Yong Q Gu
Journal:  Nucleic Acids Res       Date:  2015-05-11       Impact factor: 16.971

10.  ABACAS: algorithm-based automatic contiguation of assembled sequences.

Authors:  Samuel Assefa; Thomas M Keane; Thomas D Otto; Chris Newbold; Matthew Berriman
Journal:  Bioinformatics       Date:  2009-06-03       Impact factor: 6.937

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