Whole-Genome Survey Analyses of Five Goby Species Provide Insights into Their Genetic Evolution and Invasion-Related Genes

Author:

Ma Siyu1,Zhao Xiang1,Song Na1

Affiliation:

1. Key Laboratory of Mariculture, Ocean University of China, Ministry of Education, Qingdao 266003, China

Abstract

As one of the most abundant groups in marine fish families, Gobiidae fish are important fishery resources in China, and some are also invasive species in certain regions worldwide. However, the phylogenetic relationships of Gobiidae fish remain ambiguous, and the study of their invasion-related genes is still scarce. This study used high-throughput sequencing technology to conduct a whole-genome survey of five Gobiidae fish species: Acanthogobius flavimanus, Acanthogobius stigmothonus, Favonigobius gymnauchen, Ctenotrypauchen microcephalus, and Tridentiger barbatus. De novo assembly of five fish genomes was performed, and genomic traits were compared through K-mer analysis. Among the five Gobiidae fish genomes, F. gymnauchen had the largest genome size (1601.98 Mb) and the highest heterozygosity (1.56%) and repeat rates (59.83%). Phylogenetic studies showed that A. flavimanus was most closely linked to A. stigmothonus, while Apogonidae and Gobiidae were closely related families. PSMC analysis revealed that C. microcephalus experienced a notable population expansion than the other four fish species in the Early Holocene. By using the KOG, GO, and KEGG databases to annotate single-copy genes, the annotated genes of the five fish were mainly classified as “signal transduction mechanisms”, “cellular process”, “cellular anatomical entity”, and “translation”. Acanthogobius flavimanus, A. stigmothonus, and T. barbatus had more genes classified as “response to stimulus” and “localization”, which may have played an important role in their invasive processes. Our study also provides valuable material about Gobiidae fish genomics and genetic evolution.

Funder

National Key R&D Program of China

Observation and Research Station of Bohai Strait Eco-Corridor, MNR

Publisher

MDPI AG

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