Literature DB >> 34993327

The mitochondrial genomes of two Gryllus crickets (Grylloidea: Gryllidae) via RNA-seq.

Alex S Torson1, Alexandra M A Hicks1, Claire E Baragar1, David R Smith1, Brent J Sinclair1.   

Abstract

Here, we used RNA-seq reads to assemble the complete mitochondrial genomes of the spring field cricket, Gryllus veletis, and the variable field cricket, Gryllus lineaticeps. The mitochondrial genomes of G. veletis (15,686 bp, MW322713) and G. lineaticeps (15,607 bp, MW315773) each contain the expected 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes, and a large control (D-loop) region. The arrangements of these features were similar for both species and consistent with other closely related Orthoptera. A phylogenetic analysis of the mitochondrial genome sequences revealed that G. veletis and G. lineaticeps cluster with the other Gryllus species and all reside in a clade with the Gryllidae.
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Gryllus lineaticeps; Gryllus veletis; RNA-seq; mitochondrial genome sequence

Year:  2021        PMID: 34993327      PMCID: PMC8725904          DOI: 10.1080/23802359.2021.2010613

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.658


Field crickets (Gryllus spp.; Orthoptera: Gryllidae) have a Holarctic distribution and are often subjects of evolutionary, behavioral, physiological, and acoustic studies (e.g. Adamo and Baker 2011; Blankers et al. 2017; Rodríguez-Muñoz et al. 2008). The fall field cricket, Gryllus veletis Alexander and Bigelow 1960, is an emerging model for insect freeze tolerance (Toxopeus et al. 2018b) that is broadly distributed in North America, whereas the variable field cricket, Gryllus lineaticeps Stål, 1861, featured in behavior (e.g. Wagner 1996) and physiology (e.g. Sun et al. 2020) studies, is restricted to California and Southern Oregon (Alexander and Bigelow 1960; Weissman and Gray 2019). We collected a representative G. veletis sample from a lab-reared colony at the University of Western Ontario, which was derived from samples originally collected from the University of Lethbridge campus in Lethbridge, Alberta, Canada (49.68° N, 112.86° W). The representative G. lineaticeps sample was collected from a colony maintained from field-collected individuals from Sedgwick Reserve, Santa Ynez, California, USA (34°42′N 120°1′W). We assembled the mitochondrial genome sequences using RNA-seq reads as described by Tian and Smith (2016). Briefly, contiguous RNA sequences aligning to mitochondrial DNA sequences were mined from a de novo transcriptome assembly of G. veletis (NCBI Bioproject accession: PRJNA479659; Toxopeus et al. 2018a) using a nucleotide BLAST (blastn). The mitochondrial RNA-derived contigs were then mapped to the mitochondrial genome of Gryllus bimaculatus (Genbank accession: MK204367; Wang et al. 2019) using Geneious Prime v2020.2 (https://www.geneious.com). We mapped the G. lineaticeps reads onto the G. bimaculatus mitochondrial genome because a transcriptomic assembly has not yet been published. For both species, we resolved regions that did not map to the reference mitochondrial genome by remapping raw reads to the existing assembled contigs and relied on the overhang of newly mapped reads to extend the sequences until the sequence would no longer extend. We repeated this process iteratively to yield a complete mitochondrial sequence. We annotated the complete mitochondrial genomes using Geneious and tRNAscan-SE version 2.0 (Lowe and Chan 2016). The voucher specimens for G. lineaticeps (CNC1150967, CNC1150968, CNC1150969) and G. veletis (CNC1150970, CNC1150971) were deposited at the Canadian National Collection of Insects, Arachnids, and Nematodes (https://www.agr.gc.ca/eng/scientific-collaboration-and-research-in-agriculture/agriculture-and-agri-food-research-centres-and-collections/canadian-national-collection-of-insects-arachnids-and-nematodes-cnc/; Owen Lonsdale; owen.lonsdale@canada.ca). The lengths of the mtDNA sequences from G. veletis and G. lineaticeps are 15,686 and 15,607 bp, respectively. These lengths are shorter than G. bimaculatus (16,301 bp), but comparable to related crickets in Gryllidae (e.g. Teleogryllus emma; 15,697 bp). Each mitochondrial genome contains the expected set of 37 genes consisting of 13 protein-coding genes (ND1-6, ND4L, COX1-3, ATP8, ATP6, and CYTB), 12S and 16S rRNAs, 22 tRNAs and a putative A + T rich (D-loop) control region. The D-loop measured 933 and 816 bp in G. veletis and G. lineaticeps, respectively. The overall base composition for G. veletis is A: 40.1%, C: 16.9%, G: 9.4%, and T: 33.5% and for G. lineaticeps is A: 39.9%, C: 17.8%, G: 9.7%, and T: 32.7%. These distributions are similar to all of the species used in our comparative analysis. We compared the phylogenetic relationships of the two newly sequenced mitochondrial genomes with those of eight other Orthoptera presented by Wang et al. (2019) (Figure 1). We constructed the phylogenetic relationships among these species using the maximum likelihood method in Geneious. We confirmed that G. veletis and G. lineaticeps are clustered with Gryllus bimaculatus (Wang et al. 2019) and rooted with other Gryllidae species (Loxoblemmus equestris, Acheta domesticus, Velarifictorus hemelytrus, and Teleogryllus emma). Consistent with the nuclear DNA phylogeny published by Gray et al. (2020), Gryllus crickets appear to be more closely related to Teleogryllus than to Acheta.
Figure 1.

Phylogenetic positions of Gryllus veletis and Gryllus lineaticeps based on the complete mitochondrial genomes of seven other Orthoptera constructed using maximum likelihood. The numerical values indicate bootstrap support for each node (100 permutations). Each Latin name is followed by the respective mitochondrial genome GenBank accession number. The focal species of this study are denoted with an asterisk.

Phylogenetic positions of Gryllus veletis and Gryllus lineaticeps based on the complete mitochondrial genomes of seven other Orthoptera constructed using maximum likelihood. The numerical values indicate bootstrap support for each node (100 permutations). Each Latin name is followed by the respective mitochondrial genome GenBank accession number. The focal species of this study are denoted with an asterisk.
  8 in total

1.  Recovering complete mitochondrial genome sequences from RNA-Seq: A case study of Polytomella non-photosynthetic green algae.

Authors:  Yao Tian; David Roy Smith
Journal:  Mol Phylogenet Evol       Date:  2016-02-06       Impact factor: 4.286

2.  Sexual selection in the cricket Gryllus bimaculatus: no good genes?

Authors:  Rolando Rodríguez-Muñoz; Amanda Bretman; Jarrod D Hadfield; Tom Tregenza
Journal:  Genetica       Date:  2007-07-24       Impact factor: 1.082

3.  Conserved features of chronic stress across phyla: the effects of long-term stress on behavior and the concentration of the neurohormone octopamine in the cricket, Gryllus texensis.

Authors:  Shelley A Adamo; Jillian L Baker
Journal:  Horm Behav       Date:  2011-07-30       Impact factor: 3.587

4.  Laboratory acclimation to autumn-like conditions induces freeze tolerance in the spring field cricket Gryllus veletis (Orthoptera: Gryllidae).

Authors:  Jantina Toxopeus; Alexander H McKinnon; Tomáš Štětina; Kurtis F Turnbull; Brent J Sinclair
Journal:  J Insect Physiol       Date:  2018-12-21       Impact factor: 2.354

5.  Crickets of the genus Gryllus in the United States (Orthoptera: Gryllidae: Gryllinae).

Authors:  David B Weissman; David A Gray
Journal:  Zootaxa       Date:  2019-12-05       Impact factor: 1.091

6.  Multilocus phylogeny of Gryllus field crickets (Orthoptera: Gryllidae: Gryllinae) utilizing anchored hybrid enrichment.

Authors:  David A Gray; David B Weissman; Jeffrey A Cole; Emily Moriarty Lemmon
Journal:  Zootaxa       Date:  2020-03-12       Impact factor: 1.091

7.  How crickets become freeze tolerant: The transcriptomic underpinnings of acclimation in Gryllus veletis.

Authors:  Jantina Toxopeus; Lauren E Des Marteaux; Brent J Sinclair
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2018-10-26       Impact factor: 2.674

8.  tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes.

Authors:  Todd M Lowe; Patricia P Chan
Journal:  Nucleic Acids Res       Date:  2016-05-12       Impact factor: 16.971

  8 in total

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