MiR-19 3b regulated the formation of coat colors by targeting WNT10A and GNAI2 in Cashmere goats

MicroRNA-181a Targets GNAI2 and Affects the Proliferation and Induction Ability of Dermal Papilla Cells: The Potential Involvement of the Wnt/β-Catenin Signaling Pathway

Wool is generated by hair follicles (HFs), which are crucial in defining the length, diameter, and morphology of wool fibers. However, the regulatory mechanism of HF growth and development remains largely unknown. Dermal papilla cells (DPCs) are a specialized cell type within HFs that play a crucial role in governing the growth and development of HFs. This study aims to investigate the proliferation and induction ability of ovine DPCs to enhance our understanding of the potential regulatory mechanisms underlying ovine HF growth and development. Previous research has demonstrated that microRNA-181a (miR-181a) was differentially expressed in skin tissues with different wool phenotypes, which indicated that miR-181a might play a crucial role in wool morphogenesis. In this study, we revealed that miR-181a inhibited the proliferation and induction ability of ovine DPCs by quantitative Real-time PCR (qRT-PCR), cell counting Kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU), flow cytometry, and alkaline phosphatase staining. Then, we also confirmed G protein subunit alpha i2 (GNAI2) is a target gene of miR-181a by dual luciferase reporter assay, qRT-PCR, and Western blot, and that it could promote the proliferation and induction ability of ovine DPCs. In addition, GNAI2 could also activate the Wnt/β-Catenin signaling pathway in ovine DPCs. This study showed that miR-181a can inhibit the proliferation and induction ability of ovine DPCs by targeting GNAI2 through the Wnt/β-Catenin signaling pathway.

Identification of Differentially Expressed Genes and microRNAs in the Gray and White Feather Follicles of Shitou Geese

The Shitou goose, a highly recognized indigenous breed with gray plumage originating from Chaozhou Raoping in Guangdong Province, China, is renowned for being the largest goose species in the country. Notably, during the pure breeding process of Shitou geese, approximately 2% of the offspring in each generation unexpectedly exhibited white plumage. To better understand the mechanisms underlying white plumage color formation in Shitou geese, we conducted a comparative transcriptome analysis between white and gray feather follicles, aiming to identify key genes and microRNAs that potentially regulate white plumage coloration in this unique goose breed. Our results revealed a number of pigmentation genes, encompassing TYR, TYRP1, EDNRB2, MLANA, SOX10, SLC45A2, GPR143, TRPM1, OCA2, ASIP, KIT, and SLC24A5, which were significantly down-regulated in the white feather follicles of Shitou geese. Among these genes, EDNRB2 and KIT emerged as the most promising candidate genes for white plumage coloration in Shitou geese. Additionally, our analysis also uncovered 46 differentially expressed miRNAs. Of these, miR-144-y may play crucial roles in the regulation of feather pigmentation. Furthermore, the expression of novel-m0086-5p, miR-489-y, miR-223-x, miR-7565-z, and miR-3535-z exhibits a significant negative correlation with the expression of pigmentation genes including TYRP1, EDNRB2, MLANA, SOX10, TRPM1, and KIT, suggesting these miRNAs may indirectly regulate the expression of these genes, thereby influencing feather color. Our findings provide valuable insights into the genetic mechanisms underlying white plumage coloration in Shitou geese and contribute to the broader understanding of avian genetics and coloration research.

The draft genome of the Temminck's tragopan (Tragopan temminckii) with evolutionary implications

BACKGROUND

High-quality genome data of birds play a significant role in the systematic study of their origin and adaptive evolution. The Temminck's tragopan (Tragopan temminckii) (Galliformes, Phasianidae), a larger pheasant, is one of the most abundant and widely distributed species of the genus Tragopan, and was defined as class II of the list of national key protected wild animals in China. The absence of a sequenced genome has restricted previous evolutionary trait studies of this taxa.

RESULTS

The whole genome of the Temminck's tragopan was sequenced using Illumina and PacBio platform, and then de novo assembled and annotated. The genome size was 1.06 Gb, with a contig N50 of 4.17 Mb. A total of 117.22 Mb (11.00%) repeat sequences were identified. 16,414 genes were predicted using three methods, with 16,099 (98.08%) annotated as functional genes based on five databases. In addition, comparative genome analyses were conducted across 12 Galliformes species. The results indicated that T. temminckii was the first species to branch off from the clade containing Lophura nycthemera, Phasianus colchicus, Chrysolophus pictus, Syrmaticus mikado, Perdix hodgsoniae, and Meleagris gallopavo, with a corresponding divergence time of 31.43 million years ago (MYA). Expanded gene families associated with immune response and energy metabolism were identified. Genes and pathways associated with plumage color and feather development, immune response, and energy metabolism were found in the list of positively selected genes (PSGs).

CONCLUSIONS

A genome draft of the Temminck's tragopan was reported, genome feature and comparative genome analysis were described, and genes and pathways related to plumage color and feather development, immune response, and energy metabolism were identified. The genomic data of the Temminck's tragopan considerably contribute to the genome evolution and phylogeny of the genus Tragopan and the whole Galliformes species underlying ecological adaptation strategies.

Genetic characterization of Macaca arctoides: A highlight of key genes and pathways

When compared to the approximately 22 other macaque species, Macaca arctoides has many unique phenotypes. These traits fall into various phenotypic categories, including genitalia, coloration, mating, and olfactory traits. Here we used a previously identified whole genome set of 690 outlier genes to look for possible genetic explanations of these unique traits. Of these, 279 genes were annotated miRNAs, which are non-coding. Patterns within the remaining outliers in coding genes were investigated using GO (n = 370) and String (n = 383) analysis, which showed many interconnected immune-related genes. Further, we compared the outliers to candidate pathways associated with M. arcotides' unique phenotypes, revealing 10/690 outlier genes that overlapped these four pathways: hedgehog signaling, WNT signaling, olfactory, and melanogenesis. Of these, genes in all pathways except olfactory had higher F_ST values than the rest of the genes in the genome based on permutation tests. Overall, our results point to many genes each having a small impact on phenotype, working in tandem to cause large systemic changes. Additionally, these results may indicate pleiotropy. This seems to be especially true with the development and coloration of M. arctoides. Our results highlight that development, melanogenesis, immune function, and miRNAs may be heavily involved in M. arctoides' evolutionary history.

Excess branched-chain amino acids alter myotube metabolism and substrate preference which is worsened by concurrent insulin resistance

PURPOSE

Branched-chain amino acids (BCAA) have been shown to enhance several cellular signaling pathways including protein synthesis and mitochondrial biogenesis, yet population data demonstrate a correlation between circulating BCAA and severity of insulin resistance which has been hypothesized to be, in part, a byproduct of BCAA inhibition of mitochondrial function. The purpose of this study is to examine the effect of a BCAA mixture on muscle metabolism and related gene expression in vitro.

METHODS

C2C12 myotubes were treated with a BCAA mixture containing leucine:isoleucine:valine at a ratio of 2:1:1 at 0.2, 2, or 20 mM (based on leucine content) for 6 days. qRT-PCR was used to measure metabolic gene expression. Oxygen consumption and extracellular acidification were used to assess mitochondrial and glycolytic metabolism, respectively. Mitochondrial content was determined via mitochondrial-specific staining.

RESULTS

Despite significantly elevated mitochondrial staining, 6-day BCAA treatment reduced basal mitochondrial metabolism at a supraphysiological concentration (20 mM) in both insulin sensitive and resistant cells. Peak mitochondrial capacity was also reduced in insulin-resistant (but not insulin sensitive) cells. Conversely, basal glycolytic metabolism was elevated following 20 mM BCAA treatment, regardless of insulin resistance. In addition, insulin-resistant cells treated with 20 mM BCAA exhibited reduced gene expression of Ppargc1a, Cytc, Atp5b, Glut4, and several glycolytic enzymes versus insulin sensitive cells treated with 20 mM BCAA.

CONCLUSIONS

Collectively, these findings suggest BCAA at supraphysiologically high levels may negatively alter mitochondrial metabolism, and concurrent insulin resistance may also diminish peak mitochondrial capacity, as well as impede molecular adaptations that support a transition to a glycolytic preference/compensation.