Literature DB >> 27672382

Arthrobacter sp. EpRS66 and Arthrobacter sp. EpRS71: Draft Genome Sequences from Two Bacteria Isolated from Echinacea purpurea Rhizospheric Soil.

Luana Presta1, Marco Fondi1, Elena Perrin1, Isabel Maida1, Elisangela Miceli1, Carolina Chiellini1, Valentina Maggini1, Patrizia Bogani1, Vincenzo Di Pilato2, Gian M Rossolini3, Alessio Mengoni1, Renato Fani1.   

Abstract

Entities:  

Keywords:  antibiotics; endophyte; medicinal plant; plant growth promoting; resistance

Year:  2016        PMID: 27672382      PMCID: PMC5018518          DOI: 10.3389/fmicb.2016.01417

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


× No keyword cloud information.

Introduction

One of the most promising, but still overlooked fields of microbiological research is represented by endophytic microorganisms, i.e., those organisms living in the tissues of host plants and/or in their rhizosphere (Rosenblueth and Martínez-Romero, 2006; Reinhold-Hurek and Hurek, 2011). These microbes are emerging as a new potential source of secondary metabolites and products, for exploitation in medicine, agriculture, and industry. From a biotechnological perspective, a controlled (engineered) colonization of plant's tissues by some bacteria may be desirable because of their ability to produce a variety of plant growth promoting (PGP) molecules, spanning from siderophores, nitrogenases, hormones, and so on. In addition, host-microbe interaction confers indirect advantage to the plant, resulting from the inhibition activity exerted by the associated microbial community toward potential pathogens. Moreover, in the field of medicine, there are examples of very well-known molecules derived by endophytes like antibiotics, antimycotics, and anticancer drugs. Also, it is still unknown if plant-associated bacteria may enhance (or be responsible for) some of the effects exerted by the extracts of medicinal plants (essential oils) (Kloepper and Ryu, 2006; Hardoim et al., 2008). In this regard, in October 2012, in Casola Valsenio (Italy), a collection of microorganisms was isolated from both internal tissues and the rhizospheric soil of the medicinal plant Echinacea purpurea, as reported in Chiellini et al. (2014). Among others, two strains sampled from the rhizosphere and belonging to Arthrobacter species were identified, i.e., Arthrobacter sp. EpRS66 and Arthrobacter sp. EpRS71. Based on their antibiotic resistance profile, reported in Mengoni et al. (2014), and on further tests performed on these two strains, they were selected as good candidates for genome sequencing analysis. The last, will constitute a resource to deeply investigate their genomic features and to perform comparative genomics analysis. Moreover, in the aim of new drugs discovery, the genome sequence will facilitate the identification of putative genes responsible for the production of bioactive compounds.

Materials and methods

DNA extraction and sequencing

Arthrobacter sp. EpRS66 and Arthrobacter sp. EpRS71 strains were inoculated overnight on TSB medium at 30°C. Their genomic DNA was then extracted using the CTAB method (Perrin et al., 2015). Furthermore, the authenticity of the genomic DNA was confirmed by 16S RNA gene sequencing. MiSeq sequencing system (Illumina Inc., San Diego, CA) was used to perform the whole genome shot-gun of the two organisms. The method used a 2 × 300 bp paired-end approach, which produced a genome coverage of 246.0 x for Arthrobacter sp. EpRS66 and 91x for Arthrobacter sp. EpRS71.

Genome assembly and annotation

The quality of the obtained read pairs was evaluated by inspecting them with FastQC software package v. 0.52 (Kunde-Ramamoorthy et al., 2014). Poor quality bases were removed with StreamingTrim (Bacci et al., 2014). De novo assembly was performed by using SPAdes 3.5 software (Bankevich et al., 2012) with a k-mer length of 21, 33, and 55. After, those contigs with length inferior to 2000 bp were trimmed and the remaining (6 and 24 for Arthrobacter sp. EPRS66 and Arthrobacter sp. EPRS71, respectively) were launched in a multi-draft based analysis through MeDuSa scaffolder (Bosi et al., 2015), by using as references 5 Arthrobacter genomes retrieved at NCBI database (Arthrobacter arilaitensis Re117, Arthrobacter FB24, Arthrobacter Rue61a, Arthrobacter aurescens TC1, Arthrobacter chlorophenolicus A6). Automated annotation of the two draft genome sequences has then been performed with NCBI Prokaryotic Genome Annotation Pipeline.

Results

The last version of Arthrobacter sp. EpRS66 genome has a total length of 3,707,708 bp and embeds only 2 scaffolds (L50 equal to 1), with a mean G+C content of 59.27%. The annotation analysis identified a total of 3485 genes, of which 3383 have been annotated as coding DNA sequences (CDS), 29 as pseudogenes, 4 as rRNAs, 68 as tRNAs, and 1 as ncRNA. The draft genome sequence of Arthrobacter sp. EpRS71 24 is 4,849,450 bp long and its contigs are set-up in 10 scaffolds (L50 equal to 1). The G+C content is 61.60%, a value slightly higher than the previous but still perfectly comparable with that of other Arthrobacter genomes sequenced so far. The annotation of Arthrobacter sp. EpRS71 genome revealed the presence of 4515 genes. This total amount includes 4379 proteins coding sequences, 71 pseudogenes, and 62 RNA (6 rRNAs, 55 tRNAs, 1 ncRNA) coding sequences. Both genome sequences have been deposited at NCBI database and are available in both fasta and GenBank format; the GenBank accession number of Arthrobacter sp. EPRS66 is LNUU00000000 and the version reported in this work was named LNUU01000000; the GenBank accession number of Arthrobacter sp. EPRS71 is LNUV00000000 and the version reported in this work is LNUV01000000.

Author contributions

This project was planned by RF and AM. The DNA extraction was performed by IM and EP. The DNA sequencing has been performed by GR and VD. The data processing has been performed by LP and MF. CC, VM, PB, and EM assisted substantially on the technical part of this work. All author contributed to writing and editing the present manuscript.

Funding

This work was supported financially by Ente Cassa di Risparmio di Firenze (Project 2013.0657).

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  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.  Endophytic and rhizospheric bacterial communities isolated from the medicinal plants Echinacea purpurea and Echinacea angustifolia.

Authors:  Carolina Chiellini; Isabel Maida; Giovanni Emiliani; Alessio Mengoni; Stefano Mocali; Arturo Fabiani; Sauro Biffi; Valentina Maggini; Luigi Gori; Alfredo Vannacci; Eugenia Gallo; Fabio Firenzuoli; Renato Fani
Journal:  Int Microbiol       Date:  2014-09       Impact factor: 2.479

Review 3.  Bacterial endophytes and their interactions with hosts.

Authors:  Mónica Rosenblueth; Esperanza Martínez-Romero
Journal:  Mol Plant Microbe Interact       Date:  2006-08       Impact factor: 4.171

4.  StreamingTrim 1.0: a Java software for dynamic trimming of 16S rRNA sequence data from metagenetic studies.

Authors:  G Bacci; M Bazzicalupo; A Benedetti; A Mengoni
Journal:  Mol Ecol Resour       Date:  2013-11-16       Impact factor: 7.090

5.  Properties of bacterial endophytes and their proposed role in plant growth.

Authors:  Pablo R Hardoim; Leo S van Overbeek; Jan Dirk van Elsas
Journal:  Trends Microbiol       Date:  2008-09-12       Impact factor: 17.079

Review 6.  Living inside plants: bacterial endophytes.

Authors:  Barbara Reinhold-Hurek; Thomas Hurek
Journal:  Curr Opin Plant Biol       Date:  2011-04-30       Impact factor: 7.834

7.  MeDuSa: a multi-draft based scaffolder.

Authors:  Emanuele Bosi; Beatrice Donati; Marco Galardini; Sara Brunetti; Marie-France Sagot; Pietro Lió; Pierluigi Crescenzi; Renato Fani; Marco Fondi
Journal:  Bioinformatics       Date:  2015-03-25       Impact factor: 6.937

8.  Antibiotic resistance differentiates Echinacea purpurea endophytic bacterial communities with respect to plant organs.

Authors:  Alessio Mengoni; Isabel Maida; Carolina Chiellini; Giovanni Emiliani; Stefano Mocali; Arturo Fabiani; Marco Fondi; Fabio Firenzuoli; Renato Fani
Journal:  Res Microbiol       Date:  2014-10-02       Impact factor: 3.992

9.  Genomes analysis and bacteria identification: The use of overlapping genes as molecular markers.

Authors:  Elena Perrin; Marco Fondi; Isabel Maida; Alessio Mengoni; Carolina Chiellini; Stefano Mocali; Priscilla Cocchi; Silvia Campana; Giovanni Taccetti; Mario Vaneechoutte; Renato Fani
Journal:  J Microbiol Methods       Date:  2015-07-30       Impact factor: 2.363

10.  Comparison and quantitative verification of mapping algorithms for whole-genome bisulfite sequencing.

Authors:  Govindarajan Kunde-Ramamoorthy; Cristian Coarfa; Eleonora Laritsky; Noah J Kessler; R Alan Harris; Mingchu Xu; Rui Chen; Lanlan Shen; Aleksandar Milosavljevic; Robert A Waterland
Journal:  Nucleic Acids Res       Date:  2014-01-03       Impact factor: 16.971

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.