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Updated: Dec 16, 2025

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
Published on: July 11, 2025
Comparison of microsatellite distribution patterns in twenty-nine beetle genomes
Xuhao Song1, Tingbang Yang1, Xianghui Yan1
1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan Province, China.
Abstract:
Simple sequence repeats (SSRs) represent an important source of genetic variation that provides a basis for adaptation to different environments in organisms. In this study, we examined the distribution patterns of SSRs in twenty-nine beetle genomes and carried out Gene Ontology (GO) analysis of CDSs embedded with perfect SSRs (P-SSRs). The results demonstrated that imperfect SSRs (I-SSRs) represented the most abundant SSR category in beetle genomes and in different genomic regions (CDS, exon, and intron regions). The numbers of P-SSRs, I-SSRs, compound SSRs, and variable number tandem repeats were positively correlated with beetle genome size, whereas neither the frequency nor the density of the SSRs was correlated with genome size. Moreover, our results demonstrated that common genomic features of P-SSRs within the same suborder or family of Coleoptera were rare. Mono-, di-, tri-, or tetranucleotide SSRs were the most abundant P-SSR categories in beetle genomes. The preferred predominant repeat motif among the mononucleotide P-SSRs was (A)n, but the most frequent repeat motifs for other length classes varied differentially among these genomes. Furthermore, the P-SSR type with the highest GC content differed in the beetle genomes and in different genomic regions. CV (coefficient of variability) analysis demonstrated that the repeat copy numbers of P-SSRs presented relatively higher variation in introns than in CDSs and exons. The GO terms of CDSs containing P-SSRs for molecular functions were mainly enriched in "binding" and "transcription". Our findings will be useful for studying the functional roles of microsatellite heterogeneity in beetle adaptation.
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