Literature DB >> 30701235

Draft Genome Sequences for Five Photorhabdus Bacterial Symbionts of Entomopathogenic Heterorhabditis Nematodes Isolated from India.

Vishal Singh Somvanshi1, Bhumika Dubay1, Jyoti Kushwah1, Sivakumar Ramamoorthy2, Udayakumar S Vishnu2, Jagadesan Sankarasubramanian2, Jeyaprakash Rajendhran2, Uma Rao1.   

Abstract

Photorhabdus bacteria exhibit contrasting lifestyles; they are virulent insect pathogens but symbionts of the entomopathogenic Heterorhabditis nematodes. Photorhabdus genomes encode several secondary metabolites and insecticidal protein toxins. Here, we present the draft genome sequences for five Photorhabdus strains isolated from Heterorhabditis nematodes collected from various geographical regions of India.

Entities:  

Year:  2019        PMID: 30701235      PMCID: PMC6346184          DOI: 10.1128/MRA.01404-18

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Photorhabdus spp. are Gram-negative gammaproteobacteria found in nature in association with the entomopathogenic nematodes of the genus Heterorhabditis (1, 2). The first Photorhabdus genome was sequenced in 2003 (3), and at present, 33 genome sequences of various Photorhabdus spp. are available in NCBI GenBank (https://www.ncbi.nlm.nih.gov/genome?term=Photorhabdus). The genus Photorhabdus was revised to include 15 species on the basis of whole-genome, biochemical, chemotaxonomic, and ribosomal protein fingerprinting information, i.e., P. bodei, P. australis, P. akhurstii, P. caribbeanensis, P. hainanensis, P. kayaii, P. kleinii, P. namnaonensis, P. noenieputensis, P. laumondii, P. cinerea, P. khanii, P. stackebrandtii, P. tasmaniensis, and P. thracensis (4). We previously isolated the symbiont bacteria from the infective juveniles (IJs) of the entomopathogenic nematodes isolated from various geographical locations in India (5, 6). Preliminary biochemical and virulence characterization suggested genetic variations between different isolates (6). The 16S rRNA gene marker identified them to be a member of erstwhile Photorhabdus luminescens species (Table 1). To ascertain the identity of these isolates and to investigate the reasons for the differences in biochemical characters and virulence (6), we sequenced the genomes of these isolates.
TABLE 1

Information and genome statistics for the sequenced Photorhabdus bacterial strains and comparison to the already sequenced and annotated reference genome of Photorhabdus luminescens subsp. laumondii TTO1

FeaturebData for strain:
P. akhurstii IARI-SGMG3P. akhurstii IARI-SGHR2P. akhurstii IARI-SGHR4P. akhurstii IARI-SGMS1P. laumondii subsp. clarkei IARI-SGHP1
Place of originMeghalaya (northeastern Himalayan region), IndiaHaryana (Trans-Gangetic Plains), IndiaHaryana (Trans-Gangetic Plains), IndiaMaharashtra (western plateau and hill region), IndiaHimachal Pradesh (northern Himalayan region), India
Nematode hostHeterorhabditis sp.Heterorhabditis indicaHeterorhabditis indicaHeterorhabditis indicaHeterorhabditis sp.
16s rRNA gene accession no.JX221722KJ995730JX221723JX240394
No. of reads2,583,0801,391,3681,415,7561,195,6332,384,036
Total data generated (Mb)540288297255486
Insert size (bp)7272727272
Genome size (bp)5,663,7045,514,7105,414,6515,395,3115,403,536
Coverage (×)9651534586
No. of contigs228220212342190
GC content (%)42.942.742.542.642.5
No. of CDS5,0365,0554,9554,9425,623
No. of RNAs128787573100
N50 (bp)92,10182,93795,54143,831103,009
Predicted no. of genes5,0165,0834,9535,0405,933
No. (%) of annotated genes4,068 (81.1)4,207 (82.7)4,083 (82.4)4,101 (81.4)4,669 (78.6)
No. (%) of genes matched to reference genome4,188 (83.5)4,246 (83.5)4,170 (84.2)4,246 (84.2)5,089 (85.8)
No. of genes annotated but absent in reference genome332333386368218
No. of genes present in reference genome but not annotated516536499541218
SRA accession no.SRX3720927SRX3720926SRX3720929SRX3720928SRX3720925
WGS GenBank accession no.PUWT00000000PUWU00000000PUWV00000000PUWW00000000PUWX00000000

For all strains, Semiconductor sequencing using the Ion Torrent Personal Genome Machine was used, with 200-bp chemistry for library preparation, and MIRA version 4.0.2 with de novo assembly.

CDS, coding sequences; WGS, whole-genome shotgun.

Information and genome statistics for the sequenced Photorhabdus bacterial strains and comparison to the already sequenced and annotated reference genome of Photorhabdus luminescens subsp. laumondii TTO1 For all strains, Semiconductor sequencing using the Ion Torrent Personal Genome Machine was used, with 200-bp chemistry for library preparation, and MIRA version 4.0.2 with de novo assembly. CDS, coding sequences; WGS, whole-genome shotgun. A single colony of each strain was inoculated in 5 ml of Luria-Bertani (LB) broth and grown at 28°C with agitation (200 rpm) for 12 h. The genomic DNA was isolated by using a DNeasy kit (Qiagen, Hilden, Germany). For sequencing library preparation, 100 ng of genomic DNA was sheared enzymatically for 3 to 4 min using an Ion Shear Plus kit. The sheared DNA was purified using AMPure beads (Beckman Coulter Life Sciences, Indianapolis, IN, USA) and ligated with barcoded adapters. Subsequently, the adaptor-ligated fragments were resolved on a 2% E-Gel (Thermo Fisher Scientific, Waltham, MA, USA), and ∼330-bp fragments were collected. The size-selected fragments were PCR amplified using adaptor-specific primers for five cycles using high-fidelity Platinum supermix provided in the Ion Plus fragment library kit (Thermo Fisher Scientific, Waltham, MA, USA). The amplified product was purified using AMPure beads, and this final library was used for template generation for sequencing. The whole-genome sequencing was performed by the Semiconductor sequencing using the Ion Torrent Personal Genome Machine (PGM) system. The good-quality reads were exported using the FileExporter plugin in the Ion Torrent Personal Genome Machine-associated Torrent Suite software, using the default parameters. The de novo genome assembly, scaffold construction, and gap closure were done by using MIRA version 4.0.2 (7), with the default parameters and providing the technology as “Iontor.” The fold coverage was estimated using the total number of sequence reads divided by the estimated genome size. Gene prediction was made ab initio using GeneMarkS (8) with default parameters. These predicted genes were further mapped to the reference genome (P. luminescens subsp. laumondii TTO1, NCBI RefSeq accession number NC_005126) using Blast2GO (9), with an E value cutoff of 1.0E–3. The amino acid sequences of the predicted genes were matched with the nonredundant protein database and annotated with InterProScan using Blast2GO. The sequencing generated 1.2 to 2.5 million reads, generating 255 to 540 Mb of total sequence data (Table 1). The de novo assembly resulted in final genome sizes of 5.3 to 5.6 Mb, with a coverage of 45 to 96× (Table 1). A total of 190 to 228 contigs were obtained, with an N50 value of 43 to 103 kb. The GC content of the Photorhabdus genomes was 42.5 to 42.7%. We predicted 4,953 to 5,933 genes in the sequenced Photorhabdus strains, of which 78.6 to 82.7% could be annotated. These genes showed 83.5 to 85.8% match to the reference P. luminescens subsp. laumondii TTO1 genome (Table 1).

Data availability.

The data generated in this study can be accessed at NCBI under SRA study accession number SRP133050, BioProject number PRJNA434554, and SRA experiment accession numbers SRX3720925 to SRX3720929. The draft genome accession numbers are provided in Table 1.
  7 in total

1.  GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions.

Authors:  J Besemer; A Lomsadze; M Borodovsky
Journal:  Nucleic Acids Res       Date:  2001-06-15       Impact factor: 16.971

2.  Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs.

Authors:  Bastien Chevreux; Thomas Pfisterer; Bernd Drescher; Albert J Driesel; Werner E G Müller; Thomas Wetter; Sándor Suhai
Journal:  Genome Res       Date:  2004-05-12       Impact factor: 9.043

3.  Discovery of a Highly Virulent Strain of Photorhabdus luminescens ssp. akhurstii from Meghalaya, India.

Authors:  Jyoti Kushwah; Puneet Kumar; Veena Garg; Vishal Singh Somvanshi
Journal:  Indian J Microbiol       Date:  2016-10-18       Impact factor: 2.461

Review 4.  Photorhabdus and a host of hosts.

Authors:  Nick R Waterfield; Todd Ciche; David Clarke
Journal:  Annu Rev Microbiol       Date:  2009       Impact factor: 15.500

5.  Whole-genome-based revisit of Photorhabdus phylogeny: proposal for the elevation of most Photorhabdus subspecies to the species level and description of one novel species Photorhabdus bodei sp. nov., and one novel subspecies Photorhabdus laumondii subsp. clarkei subsp. nov.

Authors:  Ricardo A R Machado; Daniel Wüthrich; Peter Kuhnert; Carla C M Arce; Lisa Thönen; Celia Ruiz; Xi Zhang; Christelle A M Robert; Javad Karimi; Shokoofeh Kamali; Juan Ma; Rémy Bruggmann; Matthias Erb
Journal:  Int J Syst Evol Microbiol       Date:  2018-06-07       Impact factor: 2.747

6.  The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens.

Authors:  Eric Duchaud; Christophe Rusniok; Lionel Frangeul; Carmen Buchrieser; Alain Givaudan; Séad Taourit; Stéphanie Bocs; Caroline Boursaux-Eude; Michael Chandler; Jean-François Charles; Elie Dassa; Richard Derose; Sylviane Derzelle; Georges Freyssinet; Sophie Gaudriault; Claudine Médigue; Anne Lanois; Kerrie Powell; Patricia Siguier; Rachel Vincent; Vincent Wingate; Mohamed Zouine; Philippe Glaser; Noël Boemare; Antoine Danchin; Frank Kunst
Journal:  Nat Biotechnol       Date:  2003-10-05       Impact factor: 54.908

7.  Blast2GO: A comprehensive suite for functional analysis in plant genomics.

Authors:  Ana Conesa; Stefan Götz
Journal:  Int J Plant Genomics       Date:  2008
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1.  The differential strain virulence of the candidate toxins of Photorhabdus akhurstii can be correlated with their inter-strain gene sequence diversity.

Authors:  Tushar K Dutta; Chetna Mathur; Abhishek Mandal; Vishal S Somvanshi
Journal:  3 Biotech       Date:  2020-06-11       Impact factor: 2.406

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