Analysis of the Skin and Brain Transcriptome of Normally Pigmented and Pseudo-Albino Southern Flounder ( Paralichthys lethostigma ) Juveniles to Study the Molecular Mechanisms of Hypopigmentation and Its Implications for Species Survival in the Natural Environment.
Ivonne R BlandonElizabeth DiBonaAnna BattenhouseSean M VargasChristopher MaceFrauke SeemannPublished in: International journal of molecular sciences (2024)
Southern flounder skin pigmentation is a critical phenotypic characteristic for this species' survival in the natural environment. Normal pigmentation allows rapid changes of color for concealment to capture prey and UV light protection. In contrast, highly visible hypopigmented pseudo-albinos exhibit a compromised immune system and are vulnerable to predation, sensitive to UV exposure, and likely have poor survival in the wild. Skin and brain tissue samples from normally pigmented and hypopigmented individuals were analyzed with next-generation RNA sequencing. A total of 1,589,613 transcripts were used to identify 952,825 genes to assemble a de novo transcriptome, with 99.43% of genes mapped to the assembly. Differential gene expression and gene enrichment analysis of contrasting tissues and phenotypes revealed that pseudo-albino individuals appeared more susceptible to environmental stress, UV light exposure, hypoxia, and osmotic stress. The pseudo-albinos' restricted immune response showed upregulated genes linked to cancer development, signaling and response, skin tissue formation, regeneration, and healing. The data indicate that a modified skin collagen structure likely affects melanocyte differentiation and distribution, generating the pseudo-albino phenotype. In addition, the comparison of the brain transcriptome revealed changes in myelination and melanocyte stem cell activity, which may indicate modified brain function, reduced melanocyte migration, and impaired vision.
Keyphrases
- genome wide
- gene expression
- single cell
- wound healing
- stem cells
- soft tissue
- white matter
- dna methylation
- rna seq
- resting state
- immune response
- genome wide identification
- cerebral ischemia
- free survival
- magnetic resonance
- multiple sclerosis
- magnetic resonance imaging
- mesenchymal stem cells
- young adults
- risk assessment
- bioinformatics analysis
- papillary thyroid
- genome wide analysis
- deep learning
- endothelial cells
- human health
- squamous cell