title: Comparative transcriptome analysis of two oysters, Crassostrea gigas and Crassostrea hongkongensis provides insights into adaptation to hypo-osmotic conditions.
abstract: Environmental salinity creates a key barrier to limit the distribution of most aquatic organisms. Adaptation to osmotic fluctuation is believed to be a factor facilitating species diversification. Adaptive evolution often involves beneficial mutations at more than one locus. Bivalves hold great interest, with numerous species living in waters, as osmoconformers, who maintain the osmotic pressure balance mostly by free amino acids. In this study, 107,076,589 reads from two groups of Crassostrea hongkongensis were produced and the assembled into 130,629 contigs. Transcripts putatively involved in stress-response, innate immunity and cell processes were identified according to Gene ontology and KEGG pathway analyses. Comparing with the transcriptome of C. gigas to characterize the diversity of transcripts between species with osmotic divergence, we identified 182,806 high-quality single nucleotide polymorphisms (SNPs) for C. hongkongensis, and 196,779 SNPs for C. gigas. Comparison of 11,602 pairs of putative orthologs allowed for identification of 14 protein-coding genes that experienced strong positive selection (Ka/Ks>1). In addition, 45 genes that may show signs of moderate positive selection (1 ≥ Ka/Ks>0.5) were also identified. Based on Ks ratios and divergence time between the two species published previously, we estimated a neutral transcriptome-wide substitution mutation rate of 1.39 × 10(-9) per site per year. Several genes were differentially expressed across the control and treated groups of each species. This is the first time to sequence the transcriptome of C. hongkongensis and provide the most comprehensive transcriptomic resource available for it. The increasing amount of transcriptome data on Crassostrea provides an excellent resource for phylogenetic analysis. A large number of SNPs identified in this work are expected to provide valuable resources for future marker and genotyping assay development. The analysis of natural selection provides an innovative view on the adaptation within species and sets the basis for future genetic and evolutionary studies.
authors.affiliation: Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
authors.forename: Xuelin
authors.initials: X
authors.lastname: Zhao
authors.affiliation: Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Yu
authors.affiliation: Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
authors.forename: Lingfeng
authors.initials: L
authors.lastname: Kong
authors.affiliation: Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
authors.forename: Shikai
authors.initials: S
authors.lastname: Liu
authors.affiliation: Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
authors.forename: Qi
authors.initials: Q
authors.lastname: Li
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D049896:Crassostrea / Q000235:genetics / Q000378:metabolism*; D005786:Gene Expression Regulation; D063990:Gene Ontology; D058977:Molecular Sequence Annotation; D009997:Osmotic Pressure; D020641:Polymorphism, Single Nucleotide; D054712:Salinity; D017422:Sequence Analysis, DNA; D059467:Transcriptome