Literature DB >> 29674561

Complete Genome Sequence of the Heavy-Metal-Tolerant Endophytic Type Strain of Salinicola tamaricis.

Nianjie Shang1,2, Qiaoqiao Zhu1,2, Meixue Dai1,2, Guoyan Zhao3,2.   

Abstract

The first complete genome sequence of a recently described Salinicola tamaricis species was determined for the strain F01T (=CCTCC AB 2015304T =KCTC 42855T). The strain was isolated from the leaves of wetland plant Tamarix chinensis Lour and shows a high tolerance to heavy metals, such as manganese, nickel, lead, and copper ions.
Copyright © 2018 Shang et al.

Entities:  

Year:  2018        PMID: 29674561      PMCID: PMC5908926          DOI: 10.1128/genomeA.00358-18

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Wetlands have been proposed as sites for sinks of metal contaminants. The heavy metals can be taken up, transported, and released by wetland plants, known as the process of phytoremediation (1). In past decades, a combination of endophytic bacteria and their plant hosts for the increased remediation of pollutants has been applied successfully for the removal of toxic metals from contaminated soils (2, 3). Moreover, many metal-resistant endophytes have been reported to promote plant growth by mechanisms, such as solubilization of minerals and production of phytohormones and siderophores (2). We have isolated several heavy-metal-resistant strains from the leaves of halophytes collected from the saline soil along Yellow River Delta, China. Among these isolates, strain F01T from Tamarix chinensis Lour was recognized as a new Salinicola tamaricis strain in early 2017. It is the type strain of S. tamaricis and was assigned the name strain F01 (=CCTCC AB 2015304T =KCTC 42855T) (4). Strain F01T was able to grow in culture media with high concentrations of heavy-metal ions, such as Mn2+, Fe2+, Cu2+, Pb2+, Ni2+, Cd2+, and Zn2+ (4). Here, we report the complete genome sequence of S. tamaricis. A total of 211,466 PacBio raw reads were filtered, as per the read qualities. The cleaned reads were then assembled using SOAPdenovo software version 2.04 (5). The assembly results were evaluated based on the distribution of k-mer frequency, GC content, and genome coverage depth. This yielded a 4,276,240-bp genome sequence composed of 1 scaffold and 1 contig, with 65.68% GC content. The coding sequences were predicted by using Glimmer version 3.02 (6). Functional annotation was achieved using databases, including Gene Ontology (GO) (7), the Kyoto Encyclopedia of Genes and Genomes (KEGG) (8, 9), Swiss-Prot, the Cluster of Orthologous Groups (COG) (10), and the Nonredundant (NR) protein databases. Noncoding genes and miscellaneous features were predicted using the RNAmmer (11), tRNAscan-SE (12), and Rfam (13) softwares. A total of 4,724 coding sequences and 120 RNAs, 72 tRNAs, and 15 rRNAs were predicted. Additionally, the genomic data of S. tamaricis strain F01T showed about 50 genes involved in resistance to antibiotics, such as macrolide (at positions 442990 to 443721 bp in GenBank accession no. CP023559), penicillin (at positions 340058 to 340648 bp in GenBank accession no. CP023559), and trimethoprim (at positions 367805 to 368362 bp in GenBank accession no. CP023559), indicating that high adaptational abilities of strain F01T have been developed toward stressful environmental conditions. Taken together, the complete genome sequence of strain F01T was obtained. With further analysis in the future, these data will serve as a baseline for the molecular studying of detoxification mechanisms of endophytic bacteria during the phytoremediation process of the plant-soil-microbe system.

Accession number(s).

The whole-genome sequence of Salinicola tamaricis strain F01T has been deposited in DDBJ/ENA/GenBank under the accession no. CP023559. The version described in this paper is the first version, CP023559.1.
  13 in total

1.  The KEGG resource for deciphering the genome.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Yasushi Okuno; Masahiro Hattori
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Identifying bacterial genes and endosymbiont DNA with Glimmer.

Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

3.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

4.  A database for post-genome analysis.

Authors:  M Kanehisa
Journal:  Trends Genet       Date:  1997-09       Impact factor: 11.639

5.  Use of Endophytic and Rhizosphere Bacteria To Improve Phytoremediation of Arsenic-Contaminated Industrial Soils by Autochthonous Betula celtiberica.

Authors:  Victoria Mesa; Alejandro Navazas; Ricardo González-Gil; Aida González; Nele Weyens; Béatrice Lauga; Jose Luis R Gallego; Jesús Sánchez; Ana Isabel Peláez
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

6.  Salinicola tamaricis sp. nov., a heavy-metal-tolerant, endophytic bacterium isolated from the halophyte Tamarix chinensis Lour.

Authors:  Guo-Yan Zhao; Li-Ya Zhao; Zhi-Jie Xia; Jin-Lei Zhu; Di Liu; Chun-Yue Liu; Xiu-Lan Chen; Yu-Zhong Zhang; Xi-Ying Zhang; Mei-Xue Dai
Journal:  Int J Syst Evol Microbiol       Date:  2017-06-12       Impact factor: 2.747

Review 7.  Metal uptake, transport and release by wetland plants: implications for phytoremediation and restoration.

Authors:  Judith S Weis; Peddrick Weis
Journal:  Environ Int       Date:  2004-07       Impact factor: 9.621

8.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Authors:  Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiaoqian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak-Wah Lam; Jun Wang
Journal:  Gigascience       Date:  2012-12-27       Impact factor: 6.524

9.  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

10.  Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families.

Authors:  Ioanna Kalvari; Joanna Argasinska; Natalia Quinones-Olvera; Eric P Nawrocki; Elena Rivas; Sean R Eddy; Alex Bateman; Robert D Finn; Anton I Petrov
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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