Transcriptome analysis of the endangered dung beetle Copris tripartitus (Coleoptera: Scarabaeidae) and characterization of genes associated to immunity, growth, and reproduction.

BACKGROUND: Dung beetles recycle organic matter through the decomposition of feces and support ecological balance. However, these insects are threatened by the indiscriminate use of agrochemicals and habitat destruction. Copris tripartitus Waterhouse (Coleoptera: Scarabaeidae), a dung beetle, is listed as a class-II Korean endangered species. Although the genetic diversity of C. tripartitus populations has been investigated through analysis of mitochondrial genes, genomic resources for this species remain limited. In this study, we analyzed the transcriptome of C. tripartitus to elucidate functions related to growth, immunity and reproduction for the purpose of informed conservation planning. RESULTS: The transcriptome of C. tripartitus was generated using next-generation Illumina sequencing and assembled de novo using a Trinity-based platform. In total, 98.59% of the raw sequence reads were processed as clean reads. These reads were assembled into 151,177 contigs, 101,352 transcripts, and 25,106 unigenes. A total of 23,450 unigenes (93.40%) were annotated to at least one database. The largest proportion of unigenes (92.76%) were annotated to the locally curated PANM-DB. A maximum of 5,512 unigenes had homologous sequences in Tribolium castaneum. Gene Ontology (GO) analysis revealed a maximum of 5,174 unigenes in the Molecular function category. Further, in Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, a total of 462 enzymes were associated with established biological pathways. Based on sequence homology to known proteins in PANM-DB, representative immunity, growth, and reproduction-related genes were screened. Potential immunity-related genes were categorized into pattern recognition receptors (PRRs), the Toll-like receptor signaling pathway, the MyD88- dependent pathway, endogenous ligands, immune effectors, antimicrobial peptides, apoptosis, and adaptation-related transcripts. Among PRRs, we conducted detailed in silico characterization of TLR-2, CTL, and PGRP_SC2-like. Repetitive elements such as long terminal repeats, short interspersed nuclear elements, long interspersed nuclear elements and DNA elements were enriched in the unigene sequences. A total of 1,493 SSRs were identified among all unigenes of C. tripartitus. CONCLUSIONS: This study provides a comprehensive resource for analysis of the genomic topography of the beetle C. tripartitus. The data presented here clarify the fitness phenotypes of this species in the wild and provide insight to support informed conservation planning.

Development and Application of a Target Capture Sequencing SNP-Genotyping Platform in Rice.

The development of efficient, robust, and high-throughput SNP genotyping platforms is pivotal for crop genetics and breeding. Recently, SNP genotyping platforms based on target capture sequencing, which is very flexible in terms of the number of SNP markers, have been developed for maize, cassava, and fava bean. We aimed to develop a target capture sequencing SNP genotyping platform for rice. A target capture sequencing panel containing 2565 SNPs, including 1225 SNPs informative for japonica and 1339 SNPs informative for indica, was developed. This platform was used in diversity analysis of 50 rice varieties. Of the 2565 SNP markers, 2341 (91.3%) produced useful polymorphic genotype data, enabling the production of a phylogenetic tree of the 50 varieties. The mean number of markers polymorphic between any two varieties was 854. The platform was used for QTL mapping of preharvest sprouting (PHS) resistance in an F8 recombinant inbred line population derived from the cross Odae × Joun. A genetic map comprising 475 markers was constructed, and two QTLs for PHS resistance were identified on chromosomes 4 and 11. This system is a powerful tool for rice genetics and breeding and will facilitate QTL studies and gene mapping, germplasm diversity analysis, and marker-assisted selection.

Transcriptome analysis of air-breathing land slug, Incilaria fruhstorferi reveals functional insights into growth, immunity, and reproduction.

BACKGROUND: Incilaria (= Meghimatium) fruhstorferi is an air-breathing land slug found in restricted habitats of Japan, Taiwan and selected provinces of South Korea (Jeju, Chuncheon, Busan, and Deokjeokdo). The species is on a decline due to depletion of forest cover, predation by natural enemies, and collection. To facilitate the conservation of the species, it is important to decide on a number of traits related to growth, immunity and reproduction addressing fitness advantage of the species. RESULTS: The visceral mass transcriptome of I. fruhstorferi was enabled using the Illumina HiSeq 4000 sequencing platform. According to BUSCO (Benchmarking Universal Single-Copy Orthologs) method, the transcriptome was considered complete with 91.8% of ortholog genes present (Single: 70.7%; Duplicated: 21.1%). A total of 96.79% of the raw read sequences were processed as clean reads. TransDecoder identified 197,271 contigs that contained candidate-coding regions. Of a total of 50,230 unigenes, 34,470 (68.62% of the total unigenes) annotated to homologous proteins in the Protostome database (PANM-DB). The GO term and KEGG pathway analysis indicated genes involved in metabolism, phosphatidylinositol signalling system, aminobenzoate degradation, and T-cell receptor signalling pathway. Many genes associated with molluscan innate immunity were categorized under pathogen recognition receptor, TLR signalling pathway, MyD88 dependent pathway, endogenous ligands, immune effectors, antimicrobial peptides, apoptosis, and adaptation-related. The reproduction-associated unigenes showed homology to protein fem-1, spermatogenesis-associated protein, sperm associated antigen, and testis expressed sequences, among others. In addition, we identified key growth-related genes categorized under somatotrophic axis, muscle growth, chitinases and collagens. A total of 4822 Simple Sequence Repeats (SSRs) were also identified from the unigene sequences of I. fruhstorferi. CONCLUSIONS: This is the first available genomic information for non-model land slug, I. fruhstorferi focusing on genes related to growth, immunity, and reproduction, with additional focus on microsatellites and repeating elements. The transcriptome provides access to greater number of traits of unknown relevance in the species that could be exploited for in-depth analyses of evolutionary plasticity and making informed choices during conservation planning. This would be appropriate for understanding the dynamics of the species on a priority basis considering the ecological, health, and social benefits.