Literature DB >> 28018855

Genome sequencing of three bacteria associated to black band disease from a Colombian reef-building coral.

Juan Henao1, Hermes Pérez2, Deisy Abril2, Katterine Ospina2, Adriana Piza2, Kelly Botero1, Cristhian Rincón2, Jhon Donato2, Andrea Hurtado2, Erika García2, Vanessa Otero2, Alexander Del Risco2, Brenda Guerra2, Yina Cifuentes1, Alvaro Ordoñez2, Daniel Rojas2, Karen Suarez2, Daniel Osorio1, Andrés Pinzón1.   

Abstract

We announce the draft genome sequence of three Gram-negative bacteria isolated from coral tissues affected with the black band disease (BBD), identified with the NCBI's Assembly Database accession numbers: MBQF, MAYB and MBQE. These genome drafts constitute an useful tool for the characterisation of these bacteria and for the understanding of the relationship between the microbial consortia associated with the disease and the onset and progression of the pathology.

Entities:  

Keywords:  Black band disease; Coral reefs; Genome announcement; Nitratireductor aquibiodomus; Stappia indica

Year:  2016        PMID: 28018855      PMCID: PMC5176132          DOI: 10.1016/j.gdata.2016.12.008

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

EBBD 17.2 ( https://www.ncbi.nlm.nih.gov/bioproject/328867 EBB 35.1 ( https://www.ncbi.nlm.nih.gov/bioproject/PRJNA327597 SBBC 49 ( https://www.ncbi.nlm.nih.gov/bioproject/PRJNA328866

Experimental design, materials and methods

Coral reefs are one of the most diverse, yet vulnerable, ecosystem in the world. Indeed, local and global environmental changes have increased the vulnerability of these ecosystems to develop coral diseases of probable infectious nature [1]. The black band disease (BBD) was one of the first documented coral diseases and affects coral reefs worldwide [2]. Although the etiology of the BBD is not completely understood it appears that is caused by a consortium of cyanobacteria that might infringe direct damage and/or facilitate the colonization by opportunistic bacteria [3]. Hereby we present three high quality draft genome assemblies from three bacteria isolated from corals affected with BBD. Coral samples were collected in Santa Marta Bay, Colombia, and were subsequently macerated and plated on LB or Marine agar. The genomic DNA was extracted by Salting Out and resuspended in DEPC water. Whole-Genome sequencing was performed using the Illumina Hiseq 2000 system with paired-end reads (Table 1). In order to ensure the best computational results we tested different pre-processing and assembly methods. Sequence reads were preprocessed using the Trimmomatic [4], Sickle [5], and Trim Galore [6] tools. A de novo genome assembly was conducted using Spades [7], Velvet [8], and Abyss [9], iterating over different k-mers and other software-specific parameters. Overall three pre-processing and three assembly steps were tested. An assembly based on a reference genome was not feasible due to the lack of published genomes for the species under study.
Table 1

Overall information of the assembly and annotation process to the three bacteria.

EBBD 17.2EBB 35.1SBBC 49
# Of reads11.126.88211.305.81811.154.437
Length of reads101 pb101 pb101 pb
# Of high-quality reads11.019.57911.191.68511.045.752
# Of contigs757128
Length largest contig1.427.481 pb744.415 pb1.710.053 pb
N50507.072637.544718.983
Length final assembly4.827.765 pb4.495.976 pb5.008.263 pb
GC content66,95%61,46%67,05%
Coverage36 ×50,26 ×48,73 ×
Species foundStappia indicaNitratireductor aquibiodomusStappia indica
# Of predicted protein-coding442943784658
# Of predicted protein-coding related with virulence6695692
The taxonomical classification of the organisms under study were analysed with the RNAmmer tool [10] to find the 16S sequence and the Ez Taxon tool [11] to find the most exact taxon position based on their similarity value. Based on this analysis the bacteria under study were identified as Stappia indica to strain EBBD 17.2 and SBBC 49, and Nitratireductor aquibiodomus to strain EBB 35.1. An automated functional annotation using the RAST server [12] was also performed. This annotation process allowed us to identify 4429 protein-coding sequences to the strain EBBD 17.2, 66 of which were associated with the virulence/resistance process (Table 1). For strains EBB 35.1 and SBBC 49, we found 4378 and 4658 protein-coding sequences respectively, where 95 and 692 sequences were associated with virulence/resistance for strains EBB 35.1 and SBBC 49, respectively (Table 1).

Genomes accession numbers

These bacterial genomes were deposited at DDBJ/ENA/GenBank Databases under the accession MBQF to the bacterium 1 (Stappia indica), MAYB to the bacterium 2 (Nitratireductor aquibiodomus) and MBQE to the bacterium 3 (Stappia indicia), with their corresponding versions MBQF01, MAYB01 and MBQE01.

Funding

This work was funded by “Dirección de investigación y extensión” and “Dirección académica”, at National University of Colombia (grant number 32687), and by a grant from the Colombian “Departamento Administrativo de Ciencia, Tecnología e Innovación – COLCIENCIAS” to Dr. Catalina Arévalo-Ferro (Contract 382-2011, grant number 110152128415).
Specifications
Organism/cell line/tissueStappia indica; Nitratireductor aquibiodomus
StrainEBBD 17.2, EBB 35.1, SBBC 49
Sequencer or array typeIllumina Hiseq 2000
Data formatAssembled
Experimental factorsCoral reef affected
Experimental featuresWhole genome shotgun sequencing followed by genome assembly and a brief gene description
ConsentN/A
Sample source locationSanta Marta, Colombia
  10 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Changes in the bacterial community associated with black band disease in a Red Sea coral, Favia sp., in relation to disease phases.

Authors:  Luba Arotsker; Esti Kramarsky-Winter; Eitan Ben-Dov; Nachshon Siboni; Ariel Kushmaro
Journal:  Dis Aquat Organ       Date:  2015-09-17       Impact factor: 1.802

Review 3.  Integrated approach to understanding the onset and pathogenesis of black band disease in corals.

Authors:  Yui Sato; Michael Civiello; Sara C Bell; Bette L Willis; David G Bourne
Journal:  Environ Microbiol       Date:  2016-01-18       Impact factor: 5.491

4.  EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences.

Authors:  Jongsik Chun; Jae-Hak Lee; Yoonyoung Jung; Myungjin Kim; Seil Kim; Byung Kwon Kim; Young-Woon Lim
Journal:  Int J Syst Evol Microbiol       Date:  2007-10       Impact factor: 2.747

5.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

6.  ABySS: a parallel assembler for short read sequence data.

Authors:  Jared T Simpson; Kim Wong; Shaun D Jackman; Jacqueline E Schein; Steven J M Jones; Inanç Birol
Journal:  Genome Res       Date:  2009-02-27       Impact factor: 9.043

7.  Microbiome shifts and the inhibition of quorum sensing by Black Band Disease cyanobacteria.

Authors:  Julie L Meyer; Sarath P Gunasekera; Raymond M Scott; Valerie J Paul; Max Teplitski
Journal:  ISME J       Date:  2015-10-23       Impact factor: 10.302

8.  RNAmmer: consistent and rapid annotation of ribosomal RNA genes.

Authors:  Karin Lagesen; Peter Hallin; Einar Andreas Rødland; Hans-Henrik Staerfeldt; Torbjørn Rognes; David W Ussery
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

9.  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

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.