Five alternative splicing variants of the TYR gene and their different roles in melanogenesis in the Muchuan black-boned chicken

Marine Bioactive Peptides: Anti-Photoaging Mechanisms and Potential Skin Protective Effects

Skin photoaging, resulting from prolonged exposure to ultraviolet radiation, is a form of exogenous aging that not only impacts the aesthetic aspect of the skin but also exhibits a strong correlation with the onset of skin cancer. Nonetheless, the safety profile of non-natural anti-photoaging medications and the underlying physiological alterations during the process of photoaging remain inadequately elucidated. Consequently, there exists a pressing necessity to devise more secure interventions involving anti-photoaging drugs. Multiple studies have demonstrated the noteworthy significance of marine biomolecules in addressing safety concerns related to anti-photoaging and safeguarding the skin. Notably, bioactive peptides have gained considerable attention in anti-photoaging research due to their capacity to mitigate the physiological alterations associated with photoaging, including oxidative stress; inflammatory response; the abnormal expression of matrix metalloproteinase, hyaluronidase, and elastase; and excessive melanin synthesis. This review provides a systematic description of the research progress on the anti-photoaging and skin protection mechanism of marine bioactive peptides. The focus is on the utilization of marine bioactive peptides as anti-photoaging agents, aiming to offer theoretical references for the development of novel anti-photoaging drugs and methodologies. Additionally, the future prospects of anti-aging drugs are discussed, providing an initial reference for further research in this field.

Blood transcriptome comparison between sexes and their function in 4-week Rhode Island red chickens

Sex is a major biological factor in the development and physiology of a sexual reproductive organism, and its role in the growing process is needed to be investigated in various species. We compare blood transcriptome between 5 males and 5 females in 4-week-old Rhode Island Red chickens and perform functional annotation of differentially expressed genes (DEGs). The results are as follows. 141 and 109 DEGs were located in autosomes and sex chromosomes, respectively. The gene ontology (GO) terms are significantly (p < 0.05) enriched, which were limb development, inner ear development, positive regulation of dendrite development, the KEGG pathway the TGF-beta signaling pathway, and melanogenesis (p < 0.05). These pathways are related to morphological maintenance and growth of the tissues. In addition, the SMAD2W and the BMP5 were involved in the TGF-beta signaling pathway, and both play an important role in maintaining tissue development. The major DEGs related to the development of neurons and synapses include the up-regulated NRN1, GDF10, SLC1A1, BMP5, NBEA, and NRXN1. Also, 7 DEGs were validated using RT-qPCR with high correlation (r ² = 0.74). In conclusion, the differential expression of blood tissue in the early growing chicken was enriched in TGF-beta signaling and related to the development of neurons and synapses including SMAD2W and BMP5. These results suggest that blood in the early growing stage is differentially affected in tissue development, nervous system, and pigmentation by sex. For future research, experimental characterization of DEGs and a holistic investigation of various tissues and growth stages will be required.

Prediction of transcript isoforms in 19 chicken tissues by Oxford Nanopore long-read sequencing

To identify and annotate transcript isoforms in the chicken genome, we generated Nanopore long-read sequencing data from 68 samples that encompassed 19 diverse tissues collected from experimental adult male and female White Leghorn chickens. More than 23.8 million reads with mean read length of 790 bases and average quality of 18.2 were generated. The annotation and subsequent filtering resulted in the identification of 55,382 transcripts at 40,547 loci with mean length of 1,700 bases. We predicted 30,967 coding transcripts at 19,461 loci, and 16,495 lncRNA transcripts at 15,512 loci. Compared to existing reference annotations, we found ∼52% of annotated transcripts could be partially or fully matched while ∼47% were novel. Seventy percent of novel transcripts were potentially transcribed from lncRNA loci. Based on our annotation, we quantified transcript expression across tissues and found two brain tissues (i.e., cerebellum and cortex) expressed the highest number of transcripts and loci. Furthermore, ∼22% of the transcripts displayed tissue specificity with the reproductive tissues (i.e., testis and ovary) exhibiting the most tissue-specific transcripts. Despite our wide sampling, ∼20% of Ensembl reference loci were not detected. This suggests that deeper sequencing and additional samples that include different breeds, cell types, developmental stages, and physiological conditions, are needed to fully annotate the chicken genome. The application of Nanopore sequencing in this study demonstrates the usefulness of long-read data in discovering additional novel loci (e.g., lncRNA loci) and resolving complex transcripts (e.g., the longest transcript for the TTN locus).

GNAI2 Promotes Proliferation and Decreases Apoptosis in Rabbit Melanocytes

GNAI2 (G protein subunit alpha i2) is a signaling modulator or transducer, involved in several transmembrane signaling systems, that plays a vital role in the melanogenesis signaling pathway. However, whether GNAI2 regulates cell proliferation and apoptosis in rabbit melanocytes is not known. We found that GNAI2 was differentially expressed in rabbits with different coat colors using qRT-PCR and Wes assays. Furthermore, it was observed that the rabbits with black skin had the highest GNAI2 levels, and those with white skin had the lowest expression. The coding sequence of GNAI2 was successfully cloned and inserted into pcDNA3.1 and pcDNA3.1-Myc vectors. It was observed that the GNAI2 protein was mainly localized in the cytoplasm using the indirect immunofluorescence staining assay. Overexpression of GNAI2 significantly increased melanin content, promoted melanocyte proliferation, and inhibited melanocyte apoptosis. On the contrary, the knockdown of GNAI2 using siRNA had the opposite effect. In addition, GNAI2 significantly increased the mRNA expression levels of the melanin-related genes TYR, GPNMB, PMEL, and DCT in rabbit melanocytes. The results suggested that GNAI2 regulated melanocyte development by promoting melanocyte proliferation and inhibiting apoptosis.

Analysis of MC1R, MITF, TYR, TYRP1, and MLPH Genes Polymorphism in Four Rabbit Breeds with Different Coat Colors

Simple Summary

Coat color is an important breed characteristic and economic trait for rabbits, and it is regulated by a few genes. In this study, the gene frequencies of some pigmentation genes were investigated in four Chinese native rabbit breeds with different coat colors. A total of 14 genetic variants were detected in the gene fragments of MC1R, MITF, TYR, TYRP1, and MLPH genes, and there was low-to-moderate polymorphism in the populations. The gene frequency showed significant differences among the four rabbit populations. The above results suggest that these genetic variations play an important role in regulating the coat color of rabbits. This study will provide potential molecular markers for the breeding of coat color traits in rabbits.

Abstract

Pigmentation genes such as MC1R, MITF, TYR, TYRP1, and MLPH play a major role in rabbit coat color. To understand the genotypic profile underlying coat color in indigenous Chinese rabbit breeds, portions of the above-mentioned genes were amplified and variations in them were analyzed by DNA sequencing. Based on the analysis of 24 Tianfu black rabbits, 24 Sichuan white rabbits, 24 Sichuan gray rabbits, and 24 Fujian yellow rabbits, two indels in MC1R, three SNPs in MITF, five SNPs (single nucleotide polymorphisms) in TYR, one SNP in TYRP1, and three SNPs in MLPH were discovered. These variations have low-to-moderate polymorphism, and there are significant differences in their distribution among the different breeds (p < 0.05). These results provide more information regarding the genetic background of these native rabbit breeds and reveal their high-quality genetic resources.