Literature DB >> 35958061

The complete mitochondrial genome of giant cricket, Tarbinskiellus portentosus (Orthoptera: Gryllidae) and its curation.

Somjit Homchan1, Yash Munnalal Gupta1.   

Abstract

Tarbinskiellus portentosus, commonly known as giant cricket one of the important edible cricket species. However, the genetic information of these species is still limited. Therefore, we have assembled and annotated the first mitochondrial genome of T. portentosus. The mitogenome is 15710 bp long and has GC content of 27.19%. The nucleotide composition is similar with other insect mitogenomes (A 40.6%; T 32.2%; C 17.3%; G 9.9%). The gene organization in the mitogenome of T. portentosus is identical to the mitogenome of other cricket species. The complete mitogenome of T. portentosus consisted 37 genes including 13 protein coding genes, 22 tRNA genes, and two rRNA genes. The newly assembled mitogenome will help molecular biology research on edible crickets. Since mitogenome genes are traditionally used for DNA barcoding and phylogenetic analysis, comparative analysis of T. portentosus mitogenome with other related cricket species will also aid researchers in developing universal primers for species identification toward food security. Apart from the main goal of providing full mitogenome of T. portentosus, paper also provides conceptual workflow based on de novo assembly and its correction for final mitogenome construction.
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  DNA barcoding; Edible crickets; Food security; Giant cricket; Mitochondrial genome

Year:  2022        PMID: 35958061      PMCID: PMC9359167          DOI: 10.1080/23802359.2022.2107441

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.610


Introduction

T. portentosus also known as Brachytrupes portentosus has become an important edible cricket species in Thailand (Gupta et al., 2020). These crickets are large; therefore, they are usually referred to as giant cricket. These species are difficult to raise in farms because crickets burrow holes in land fields and reside beneath the surface (Nischalke et al., 2020). Thai locals collect these crickets by identifying them morphologically (Hanboonsong, 2010). However, it cannot be the optimal approach for industrial scale production and food security. Additionally, the entomophagy is increasing due to high nutritional value of edible crickets, but molecular research is still limited considering the popularity of edible insects (Van Huis, 2020). Even, the until present study, only partial cox1 sequences of T. portentosus was accessible. Consequently, the first complete mitogenome of T. portentosus is assembled and annotated using reproducible bioinformatic pipeline. The tool and scripts used in bioinformatic workflow presented in study have been utilized for mitogenome assembly and annotation. However, the final assembled sequences often needs error correction to get rid of sequence artifacts and ambiguous nucleotides (Baker, 2012). Therefore, we have proposed the realignment of mitogenome assembly against raw sequence reads. Repeats in the genome are an error-prone region that makes sequence assembly challenging (Parra et al., 2009). Errors in sequence reads sometimes becomes nearly impossible to detect or remains unclear even after correcting them with k-mer based algorithms (Kelley et al., 2010). A recent article examined inaccuracies in mitochondrial genome data provided to NCBI (Prada & Boore, 2019). The research community may be misled by incorrect genome sequence assembly and annotation. In case of assembling small mitochondrial genomes using de novo assemblers, the final assemblies can be inspected by realigning them with sequence reads. Therefore, this study also seeks to authenticate the successful mitochondrial sequence assembly by realigning them with their raw reads. The assemble mitogenome will also be a reference for assembling new mitogenomes for other related cricket species using mitochondrial genome assemblers like NOVOplasty (Dierckxsens et al., 2017). Methodology presented in current study will serve an alternative approach for researchers to assemble and curate the mitogenomes. Moreover, the newly assembled mitogenome will contribute to genetic research on edible crickets for enhancing food security in mass rearing facilities. To be more precise, the mitogenomic regions will serve as a temple for T. portentosus identification and other related cricket species.

Materials and methods

Sequence assembly

The paired-end fastq genomic sequences were obtained from sequence read archive (Organism: T. portentosus; BioSample: SAMN19844586; SRA accession number: SRR14902953; Submitter: Research Institute of Resource Insects; Geographic location: China, Guangxi, Baise). The forward and reverse reads quality for mitochondrion assembly was checked by FastQC (Brown et al., 2017). The total spots reads were 18,308,560. Both reads were trimmed using Trimmomatic tool (Bolger et al., 2014) to elevate the increasing eliminate bases from a read if it falls below a quality level and to remove the adapter sequences. The trimmed sequences were 18, 057, 997 for forward and reverse reads. Read quality was re-checked prior to assembly. Trimmed forward and reverse reads were used for de novo assembly using NOVOplasty perl script (Dierckxsens et al., 2017). The known partial sequence of T. portentosus cytochrome c oxidase subunit I (cox1) gene (Accession number: MT429708) was used for initiating the assembly.

Sequence assembly correction

The single circular assembled sequence generated by the NOVOplasty perl script (Dierckxsens et al., 2017) was examined for the presence of ambiguous nucleotides (N) and sequence assembly errors. To replace the ambiguous nucleotide with the correct nucleotide, the section of sequence containing the problematic nucleotide was cut and re-aligned to the raw reads. Therefore, the nucleotide sequence section containing ambiguous nucleotides from circular assembled sequence was aligned to raw reads (fastq) from sequence read archive (SRA accession number: SRR14902953) using basic local alignment search tool (BLAST)(Altschul et al., 1990).

Genome annotation and visualization

The final sequence assembly was annotated using MITOS (Bernt et al., 2013). The assembled mitochondrion was aligned other nucleotide sequences BLAST (Altschul et al., 1990) for secondary authentication of annotated CDS features. tRNAscan-SE (Chan & Lowe, 2019) was used to confirmed the tRNA annotations found in the mitochondrion. 22 tRNA genes were also inspected manually to check the present of anticodons for respective amino acids. Annotated mitochondrion of T. portentosus was submitted to NCBI and nucleotide sequence data reported are available in the Third Party Annotation Section of the DDBJ/ENA/GenBank databases under the accession number TPA: BK059220. The GenBank file generated and given by NCBI was used to visualize mitochondrial genome map by OrganellarGenomeDRAW (OGDRAW) version 1.3.1 server (Greiner et al., 2019).

Phylogenetic analysis

A total of 13 mitogenomes of related cricket species and one previously published T. portentosus mitogenome (MZ427921.1) and one Tarbinskiellus spp. mitogenome were aligned with the T. portentosus mitogenome assembled in the present study (Accession number: BK059220) using MUSCLE (Edgar, 2004). The substitution pattern was best described by models with the lowest BIC scores (Bayesian Information Criterion). Therefore, the best fit model was estimated by jModelTest Version 2.1.10 (Darriba et al., 2012) using BIC. The general time reversible model with gamma distributed with invariant sites (Nei & Kumar, 2000) (GTR + G + I) model was used for analysis because of lowest BIC score compared to other 88 different nucleotide substitution models. Phylogenetic tree was contrasted using Bayesian inference (BI) with BEAST Version 2.6.6 (Drummond et al., 2012) with Markov chain Monte Carlo (MCMC) 100 million generations and visualized by FigTree Version 1.4.4 (Rambaut, 2009).

Results and discussion

An initial objective of the present research was to assemble whole mitochondrial genome of T. portentosus to provide longer gene regions for DNA barcoding purposes. Therefore, the methodology of this study was designed to employ the raw sequence data for the assembly. In total, 109,292 reads were used in the final assembly, resulting in a circularized sequence of 15,710 bp with a GC content of 27.19%. The average coverage of the mitochondrial DNA was 1253x. Only three ambiguous nucleotides were detected in the final assembly. Therefore, the section of mitochondrial assembly containing these ambiguous nucleotides was realigned against raw sequence data. The correct nucleotides were added manually depending on their coverage for respective base position in the mitochondrial sequence. Conducting de novo assembly can be complicated due to presence of repeated nucleotides in the sequence. Therefore, the final assemble sequence should be inspected before the annotation or downstream process. The inspection should follow the steps of realigning assembled sequence to raw reads. Realignment can be performed on local machine or using BLAST (Altschul et al., 1990) on NCBI if dataset is already deposited to sequence read archive (SRA). Herein, we have used online method to fasten the realignment process using SRA dataset (Accession number: SRR14902953). The ambiguous nucleotide containing region of assembled sequence was realigned to read from SRA to resolve the unclarity of three ambiguous nucleotide which were located around single repeats. Moreover, we found long strands of repeated sequences before those single repeats. Therefore, regions containing repeated sequence with unique flanking sequences were realigned with reads to confirm the final assembly. We strongly advise that, even if the respected de novo assembler (e.g., NOVOplasty) (Dierckxsens et al., 2017) generates the appropriate assembled sequence, the sequence should be scrutinized, particularly in regions containing repeats. For instance, the available T. portentosus mitogenome (Accession number: MZ427921) on GenBank has only 20x coverage and also lacks the repeated region from D loop, making it smaller than the mitogenome assembled and curated in the current study. Herein, we demonstrated the way of curate the erroneous assemblies generated due to sequence repeats by comparing it with raw sequence reads. Majority of repeated sequences present in control region of insect mitochondrial DNA (Ji et al., 2019; Zhang & Hewitt, 1997) as we also observed in present mitochondrial genome of T. portentosus. The final assembled sequence was having 37 genes. The respective order of these genes (13 protein coding genes, 22 tRNAs, 2 rRNAs): Ile, Gln, Met, nad2, Trp, Cys, Tyr, cox1, Leu-2, cox2, Lys, Asp, atp8, atp6, cox3, Gly, nad3, Ala, Arg, Glu, Ser-1, Asn, Phe, nad5, nad4, His, nad4l, Thr, Pro, nad6, cob, Ser-2, nad1, Leu-1, L-rRNA Val, S-rRNA. The gene order and direction were comparable with mitogenomes of related cricket species from same subfamily of Gryllinae (Loxoblemmus doenitzi: NC_033985.1, Teleogryllus emma: NC_011823.1). Annotated mitochondrial genome map of T. portentosus is shown in Figure 1.
Figure 1.

The complete mitochondrial genome map of T. portentosus. Arrangement of 37 genes represented in the map, including 13 protein coding genes, 22 tRNA genes, and two rRNA genes. The GC% along the mitochondrion is represented by the inner circle.

The complete mitochondrial genome map of T. portentosus. Arrangement of 37 genes represented in the map, including 13 protein coding genes, 22 tRNA genes, and two rRNA genes. The GC% along the mitochondrion is represented by the inner circle. The phylogenetic analysis was conducted in over to position T. portentosus with other related species of crickets using whole mitochondrial DNA (Figure 2). T. portentosus grouped within the monophyletic subfamily of Gryllinae. Other two cricket species belong to subfamily of Eneopterinae, which out-grouped and clustered in single clade. Result suggested that T. portentosus has close relative with Loxoblemmus and clustered in same clade. The presented phylogenetic analysis is clearly consistent with earlier findings and strongly supported sub-familial monophyly (Ma et al., 2019).
Figure 2.

The evolutionary history was inferred using Bayesian inference and General Time Reversible model. The analysis involved 14 mitochondrion sequences. Cardiodactylus muiri and Pseudolebinthus species were taken as outgroups.

The evolutionary history was inferred using Bayesian inference and General Time Reversible model. The analysis involved 14 mitochondrion sequences. Cardiodactylus muiri and Pseudolebinthus species were taken as outgroups. Recently published study used 16S rRNA gene for genetic variation study of T. portentosus from different location in Thailand. In their study, researchers found it difficult to amplify the cox1 sequence from T. portentosus DNA samples for their investigation (Pradit et al., 2021). In future, researchers will be able to use the entire mitochondrial sequence given in this paper to undertake genetic investigations on T. portentosus and other edible crickets. On other hand, DNA barcodes have been developed from mitochondrial DNA for edible crickets (Gupta et al., 2020). Although entomology is becoming increasingly prominent, genetic information on edible insects for DNA barcoding and population genetics is still limited. Therefore, the mitochondrial DNA sequence information presented will aid in DNA barcoding and confine phylogenic position of T. portentosus. On the other hand, by examining the reproducibility of the provided methodology, it may provide a faster approach for mitochondrial genome assembly and error correction in contigs produced by DNA sequence assemblers.
  15 in total

1.  jModelTest 2: more models, new heuristics and parallel computing.

Authors:  Diego Darriba; Guillermo L Taboada; Ramón Doallo; David Posada
Journal:  Nat Methods       Date:  2012-07-30       Impact factor: 28.547

2.  tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences.

Authors:  Patricia P Chan; Todd M Lowe
Journal:  Methods Mol Biol       Date:  2019

3.  MITOS: improved de novo metazoan mitochondrial genome annotation.

Authors:  Matthias Bernt; Alexander Donath; Frank Jühling; Fabian Externbrink; Catherine Florentz; Guido Fritzsch; Joern Pütz; Martin Middendorf; Peter F Stadler
Journal:  Mol Phylogenet Evol       Date:  2012-09-07       Impact factor: 4.286

4.  Bayesian phylogenetics with BEAUti and the BEAST 1.7.

Authors:  Alexei J Drummond; Marc A Suchard; Dong Xie; Andrew Rambaut
Journal:  Mol Biol Evol       Date:  2012-02-25       Impact factor: 16.240

5.  NOVOPlasty: de novo assembly of organelle genomes from whole genome data.

Authors:  Nicolas Dierckxsens; Patrick Mardulyn; Guillaume Smits
Journal:  Nucleic Acids Res       Date:  2017-02-28       Impact factor: 16.971

6.  FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool.

Authors:  Joseph Brown; Meg Pirrung; Lee Ann McCue
Journal:  Bioinformatics       Date:  2017-06-09       Impact factor: 6.937

7.  The complete mitochondrial genome of a field cricket Turanogryllus eous (Insecta: Orthoptera).

Authors:  Chuan Ma; Licui Zhang; Jianke Li
Journal:  Mitochondrial DNA B Resour       Date:  2019-11-06       Impact factor: 0.658

8.  Assessing the gene space in draft genomes.

Authors:  Genis Parra; Keith Bradnam; Zemin Ning; Thomas Keane; Ian Korf
Journal:  Nucleic Acids Res       Date:  2008-11-28       Impact factor: 16.971

9.  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.  Gene annotation errors are common in the mammalian mitochondrial genomes database.

Authors:  Carlos F Prada; Jeffrey L Boore
Journal:  BMC Genomics       Date:  2019-01-22       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.