| Literature DB >> 35340598 |
Kosuke Kataoka1, Yuki Togawa2, Ryuto Sanno3, Toru Asahi1,2,3,4,5, Kei Yura2,3,5,6,7.
Abstract
Significant advances in biophysical methods such as next-generation sequencing technologies have now opened the way to conduct evolutionary and applied research based on the genomic information of greatly diverse insects. Crickets belonging to Orthoptera (Insecta: Polyneoptera), one of the most flourishing groups of insects, have contributed to the development of multiple scientific fields including developmental biology and neuroscience and have been attractive targets in evolutionary ecology for their diverse ecological niches. In addition, crickets have recently gained recognition as food and feed. However, the genomic information underlying their biological basis and application research toward breeding is currently underrepresented. In this review, we summarize the progress of genomics of crickets. First, we outline the phylogenetic position of crickets in insects and then introduce recent studies on cricket genomics and transcriptomics in a variety of fields. Furthermore, we present findings from our analysis of polyneopteran genomes, with a particular focus on their large genome sizes, chromosome number, and repetitive sequences. Finally, how the cricket genome can be beneficial to the food industry is discussed. This review is expected to enhance greater recognition of how important the cricket genomes are to the multiple biological fields and how basic research based on cricket genome information can contribute to tackling global food security. Supplementary Information: The online version contains supplementary material available at 10.1007/s12551-021-00924-4.Entities:
Keywords: Alternative protein source; Cricket; Genome; Insecta; Orthoptera; Polyneoptera
Year: 2022 PMID: 35340598 PMCID: PMC8921346 DOI: 10.1007/s12551-021-00924-4
Source DB: PubMed Journal: Biophys Rev ISSN: 1867-2450
Fig. 1Described species of Polyneoptera, Orthoptera, and Gryllidea. The number of species shown in the pie chart represents the information available in the Orthoptera Species File as of the writing of the manuscript. Note that the Orthoptera Species File includes the superfamily Rhaphidophoroidea and Schizodactyloidea in the taxonomic groups under Ensifera, and the number of species in Tettigoniidea does not include these superfamilies
Fig. 2Phylogenetic trees of Polyneoptera, Orthoptera, and Gryllidea. The tree topology of Polyneoptera is based on Misof et al. 2014 and Wipfler et al. 2019, and of Orthoptera is on Zhou et al. 2017 and Song et al. 2020. Because there has been no or little consensus on the relationships within the Tettigoniidea, the lower taxonomic groups (Rhaphidophoroidea, Schizodactyloidea, Stenopelmatoidea, Hagloidea, and Tettigonioidea) are collapsed into one subtree. For Gryllidea, the inferred topological trees in recent studies have been shown
Recent studies on cricket genomics and transcriptomics
| Research field | Species | Purpose | Reference |
|---|---|---|---|
| Evolutionary biology | Gene flow in hybrid zone | Maroja et al. Andrés et al. Larson et al. Larson et al. Maroja et al. | |
| Parapatric speciation | Gray et al., Blankers et al. Blankers et al. | ||
| Coevolution of signal preference | Blankers et. Blankers et al. Xu and Shaw Xu and Shaw Ylla et al. | ||
| Dosage compensation in sexual antagonism | Rayner et al. | ||
| Early stage of adaptive and parallel evolution (flatwing) | Pascoal et al. Pascoal et al. Pascoal et al. Zhang et al. | ||
| Phenotypic plasticity | Evolution in X chromosome | Moran et al. | |
| Wing polymorphism | Nanoth Vellichirammal et al. Zera et al. | ||
| Cold tolerance | Des Marteaux et al. | ||
| Cold tolerance | Toxopeus et al. | ||
| Compensatory plasticity | Structural neuronal changes in the auditory system | Fisher et al. | |
| Synaptic strength change in the cercal escape circuitry | Prasad et al. | ||
| Developmental and regenerative biology | Leg regeneration | Bando et al. | |
| Stage-specific transcriptome | Zeng et al. Berdan et al. Kono et al. | ||
| Entomophagy | Domestication | Oppert et al. | |
| Domestication | Ylla et al. | ||
| Domestication | Kataoka et al. | ||
| Others | Circatidal rhythm | Satoh et al. Satoh et al. | |
| Codon usage frequency and expression level | Whittle et al. | ||
| DNA methylation | Ylla et al. | ||
| Sex-biased gene expression regulation | Whittle et al. |
Registration number of genomes of holometabola and hemimetabola in the NCBI
| Order | Taxonomy ID | Number of genomes in the NCBI (August 2021) |
|---|---|---|
| Lepidoptera | 7088 | 736 |
| Diptera | 7147 | 272 |
| Hymenoptera | 7399 | 210 |
| Coleptera | 7041 | 75 |
| Trichoptera | 30263 | 8 |
| Megaloptera | 50553 | 1 |
| Neuroptera | 7516 | 1 |
| Siphonaptera | 7509 | 1 |
| Strepsiptera | 30261 | 1 |
| Mecoptera | 27420 | 0 |
| Raphidioptera | 50482 | 0 |
| Phasmatodea | 7020 | 13 |
| Orthoptera | 6993 | 7 |
| Blattodea | 85823 | 6 |
| Plecptera | 50622 | 4 |
| Dermaptera | 27434 | 1 |
| Embioptera | 50657 | 0 |
| Grylloblattodea | 58557 | 0 |
| Mantodea | 7504 | 0 |
| Mantophasmatodea | 192413 | 0 |
| Zoraptera | 30265 | 0 |
| Hemiptera | 7524 | 60 |
| Ephemeroptera | 30073 | 4 |
| Odonata | 6961 | 3 |
| Thysanoptera | 30262 | 3 |
| Insecta† | 50557 | 1429 |
†Insecta represents the orders above plus the remaining orders: Protura, Collembola, Diplura, Archaegnatha, Zygentoma, and Psocodea
Fig. 3Genome size variation in Insecta and Polyneoptera. The data on the genome size were collected from the Animal Genome Size Database (https://www.genomesize.com) (Gregory 2021)
Fig. 4Diploid chromosome number of Insecta and Orthoptera. The data on the chromosome number were collected from the Animal Chromosome Count database (https://cromanpa94.github.io/ACC/) (Román-Palacios et al. 2021)
Fig. 5Repeat content and genome size in Polyneoptera. a Repetitive contents of the polynepteran genomes were analyzed by RepeatMasker (Smit et al. 2015) using Repbase (edition 20170127) (Bao et al. 2015) and Dfam database (Storer et al. 2021). The sources of the genomes used in the analysis are as follows: Gryllus bimaculatus, GCA_017312745.1; Teleogryllus occipitalis, GCA_011170035.1; Laupala kohalensis, GCA_002313205.1; Locusta migratoria, GCA_000516895.1; Medauroidea extradentata, GCA_003012365.1; Timema cristinae, GCA_002926335.1; Blattella germanica, GCA_003018175.1; Zootermopsis nevadensis, GCA_000696155.1; Cryptotermes secundus, GCA_002891405.2; Macrotermes natalensis, GigaDB (http://gigadb.org/dataset/). b The genome sizes of the indicated species belonging to Polyneoptera in a. c Correlation between the genome size and each type of repeat sequence. The species used in the analysis are the same as those used in a and b. d Comparison of the percentage of each repeat sequence in Orthoptera and non-Orthoptera