Potential Candidate Genes Associated with Litter Size in Goats: A Review

Animals, Journal Year: 2025, Volume and Issue: 15(1), P. 82 - 82

Published: Jan. 2, 2025

This review examines genetic markers associated with litter size in goats, a key reproductive trait impacting productivity small ruminant farming. Goats play vital socioeconomic role both low- and high-income regions; however, their remains limited due to low efficiency. Litter size, influenced by multiple genes environmental factors, directly affects farm profitability sustainability increasing the output per breeding cycle. Recent advancements research have identified pathways traits, including gonadotropin-releasing hormone (GnRH), inhibin (INHAA), Kit ligand (KITLG), protein phosphatase 3 catalytic subunit alpha (PPP3CA), prolactin receptor (PRLR), POU domain class 1 transcription factor (POU1F1), anti-Müllerian (AMH), bone morphogenetic proteins (BMP), growth differentiation 9 (GDF9), KISS1 suppressor of mothers against decapentaplegic (SMAD) family genes, among others. These regulate crucial physiological processes such as folliculogenesis, synthesis, ovulation. Genome-wide association studies (GWASs) transcriptomic analyses pinpointed specific linked increased highlighting potential selective programs. By incorporating genomic data, strategies can achieve higher selection accuracy, accelerate gains, improve emphasizes importance optimizing promoting sustainable goat

Language: Английский

Population Structure and Selection Signal Analysis of Nanyang Cattle Based on Whole-Genome Sequencing Data

Genes, Journal Year: 2024, Volume and Issue: 15(3), P. 351 - 351

Published: March 11, 2024

With a rich breeding history, Nanyang cattle (NY cattle) have undergone extensive natural and artificial selection, resulting in distinctive traits such as high fertility, excellent meat quality, disease resistance. This makes them an ideal model for studying the mechanisms of environmental adaptability. To assess population structure genetic diversity NY cattle, we performed whole-genome resequencing on 30 individuals. These data were then compared with published from 432 globally. The results indicate that is significantly different European commercial breeds more similar to North–Central Chinese breeds. Furthermore, among all breeds, exhibit highest lowest inbreeding levels. A genome-wide selection signal analysis using Fst, θπ-ratio, θπ methods revealed significant signals genes associated reproductive performance immunity. Our functional annotation suggests these may be responsible reproduction (MAP2K2, PGR, GSE1), immune response (NCOA2, HSF1, PAX5), olfaction (TAS1R3). We provide comprehensive overview sequence variations genome, revealing insights into cattle. Additionally, identify candidate important economic traits, offering valuable references future conservation efforts

Language: Английский

Pituitary whole transcriptome analysis reveals key genes regulating reproduction in Hy-Line Brown hens and the construction of their ceRNA molecular regulatory network

BMC Genomics, Journal Year: 2024, Volume and Issue: 25(1)

Published: Nov. 18, 2024

The development and egg-laying performance of hens are precisely regulated by hormones secreted the pituitary. In this study, we performed comprehensive transcriptome sequencing pituitary from Hy-Line Brown at 15, 20, 30 68 W age. Through association analysis, identified key genes ceRNA regulatory networks related to egg production. Based on data, 470 differentially expressed lncRNAs (DE-lncRNAs), 38 miRNAs (DE-miRNAs), 2,449 mRNAs (DE-mRNAs). Time-series analysis pinpointed signaling pathways that significantly influence hormone secretion various stages. At 15 W, high expression GHRHR, NPY1R, TSHR in supports growth. 20 elevated GNRHR sustains continuous late laying period, PRL may lead a decline Additionally, enabled construction network involving non-coding RNAs regulate reproduction hens. This study elucidated profiles gland during processes constructed associated molecular networks. These findings lay foundation for investigating mechanisms which secretion.

Language: Английский