Parallel shifts of visual sensitivity and body coloration in replicate populations of extremophile fish

Genome-wide identification of crustacyanin and function analysis of one isoform high-expression in carapace from Neocaridina denticulata sinensis

Lipocalin proteins transport hydrophobic molecules, including apolipoprotein D, retinol-binding protein, and crustacyanin (CRCN). CRCN can combine with astaxanthin to cause a bathochromic shift in the emission spectrum of astaxanthin from red to blue. Therefore, CRCN influences the colors and patterns of crustaceans, which are important for various biological functions such as camouflage, reproduction, and communication. For aquatic organisms, body color is economically important and can be indicative of habitat water quality. In this study, thirteen CRCN genes (NdCRCNs) were first discovered in Neocaridina denticulata sinensis, contradicting prior findings of a few isoform genes in a species. The expression pattern of NdCRCNs in tissues showed that the expression of one CRCN isoform gene, named NdCRCN-30, was the highest in the carapace. In situ hybridization (ISH) analysis revealed that NdCRCN-30 was predominantly distributed in the outer epidermis of shrimp. Interference of NdCRCN-30 could cause a change in the color of the carapace. RNA-seq was performed after knockdown with the NdCRCN-30, and differential gene enrichment analysis revealed that this gene is primarily associated with antioxidant function, pigmentation, and molting. Overall, our results will provide new insights into the biological function of the CRCN and genetic breeding for changing body color in economic crustaceans.

Alternative splicing in parallel evolution and the evolutionary potential in sticklebacks

Repeatability of adaptation to similar environments provides opportunity to evaluate the predictability of natural selection. While many studies have investigated gene expression differences between populations adapted to contrasting environments, the role of post-transcriptional processes such as alternative splicing has rarely been evaluated in the context of parallel adaptation. To address the aforementioned knowledge gap, we reanalysed transcriptomic data from three pairs of threespine stickleback (Gasterosteus aculeatus) ecotypes adapted to marine or freshwater environment. First, we identified genes with repeated expression or splicing divergence across ecotype pairs, and compared the genetic architecture and biological processes between parallelly expressed and parallelly spliced loci. Second, we analysed the extent to which parallel adaptation was reflected at gene expression and alternative splicing levels. Finally, we tested how the two axes of transcriptional variation differed in their potential for evolutionary change. Although both repeated differential splicing and differential expression across ecotype pairs showed tendency for parallel divergence, the degree of parallelism was lower for splicing than expression. Furthermore, parallel divergences in splicing and expression were likely to be associated with distinct cis-regulatory genetic variants and functionally unique set of genes. Finally, we found that parallelly spliced genes showed higher nucleotide diversity than parallelly expressed genes, indicating splicing is less susceptible to genetic variation erosion during parallel adaptation. Our results provide novel insight into the role of splicing in parallel adaptation, and underscore the contribution of splicing to the evolutionary potential of wild populations under environmental change.

Detecting (non)parallel evolution in multidimensional spaces: angles, correlations and eigenanalysis

Parallelism between evolutionary trajectories in a trait space is often seen as evidence for repeatability of phenotypic evolution, and angles between trajectories play a pivotal role in the analysis of parallelism. However, properties of angles in multidimensional spaces have not been widely appreciated by biologists. To remedy this situation, this study provides a brief overview on geometric and statistical aspects of angles in multidimensional spaces. Under the null hypothesis that trajectory vectors have no preferred directions (i.e. uniform distribution on hypersphere), the angle between two independent vectors is concentrated around the right angle, with a more pronounced peak in a higher-dimensional space. This probability distribution is closely related to t- and beta distributions, which can be used for testing the null hypothesis concerning a pair of trajectories. A recently proposed method with eigenanalysis of a vector correlation matrix can be connected to the test of no correlation or concentration of multiple vectors, for which simple test procedures are available in the statistical literature. Concentration of vectors can also be examined by tools of directional statistics such as the Rayleigh test. These frameworks provide biologists with baselines to make statistically justified inferences for (non)parallel evolution.