Comparative Whole-Genome Analysis of Production Traits and Genetic Structure in Baiyu and Chuanzhong Black Goats DOI Creative Commons
Jing Luo, Qi Min, Xueliang Sun

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3616 - 3616

Published: Dec. 15, 2024

Natural selection and artificial breeding are crucial methods for developing new animal groups. The Baiyu black goats Chuanzhong indigenous goat breeds from distinct ecological regions in Sichuan Province, with dramatically different growth reproductivity. This study aimed to systematically elucidate the differences production performance genetic traits between goats. We quantified reproductive attributes both breeds. Furthermore, we conducted a comprehensive analysis of diversity, population structure, signatures using whole-genome resequencing data. dataset included 30 individuals breed, 41 an additional 59 representing Chengdu grey goats, Tibetan cashmere Jianchang totaling 130 across five comparative revealed that weight body size were significantly higher than those (p < 0.01). At same time, average kidding rate kid-weaning survival also notably superior exhibited more abundant diversity compared goat, according grounded on genomic variation. closely related whereas share closer relationship Additionally, employed π, Fst, XP-EHH methodologies identify genes immunity (TRIM10, TRIM15, TRIM26, TRIM5), neurodevelopment (FOXD4L1, PCDHB14, PCDHB4, PCDHB5, PCDHB6, PCDHB7), reproduction (BTNL2 GABBR1), (NCAPG, IBSP, MKNK1), meat quality (SUCLG2 PGM5). These results provide theoretical basis further resource conservation improvement goat.

Language: Английский

Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia DOI Creative Commons

Qinqian Wang,

Ying Lü, Mengfei Li

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(6), P. 831 - 831

Published: March 13, 2025

Whole-genome resequencing (WGRS) is a critical branch of whole-genome sequencing (WGS), primarily targeting species with existing reference genomes. By aligning data to the genome, WGRS enables precise detection genetic variations in individuals or populations. As core technology genomic research, WGS holds profound significance ruminant studies. It not only reveals intricate structure genomes but also provides essential for deciphering gene function, variation patterns, and evolutionary processes, thereby advancing exploration mechanisms. However, still faces several challenges, such as incomplete inaccurate genome assembly, well annotation numerous unknown genes functions. Although can identify vast number variations, specific relationships between these phenotypes often remain unclear, which limits its potential functional studies breeding applications. performing on multiple samples, assembly challenges be effectively addressed, particularly regions high repeat content complex structural variations. accurately subtle among different populations further elucidate their associations traits, overcoming limitations providing more information research This review systematically summarizes latest applications analysis structures, diversity, economic adaptive while discussing faced by this technology. aims provide scientific foundation improvement conservation resources.

Language: Английский

Citations

0
Genetic Diversity and Selection Signal Analysis of Hu Sheep Based on SNP50K BeadChip DOI Creative Commons
Keyan Ma, Juanjuan Song, Dengpan Li

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(19), P. 2784 - 2784

Published: Sept. 26, 2024

This research is designed to examine the genetic diversity and kinship among Hu sheep, as well discover genes associated with crucial economic traits. A selection of 50 unrelated adult male sheep underwent genotyping SNP50K BeadChip. Seven indicators were assessed based on high-quality SNP data: effective population size (Ne), polymorphic information content (PIC), marker ratio (PN), expected heterozygosity (He), observed (Ho), number alleles, minor allele frequency (MAF). Plink software was employed compute IBS distance matrix detect runs homozygosity (ROHs), while G principal component analysis performed using GCTA software. Selective sweep carried out ROH, Pi, Tajima’s D methodologies. study identified a total 64,734 SNPs, which 56,522 SNPs remained for downstream after quality control. The displayed relatively high diversity. ultimately grouped into 12 distinct families, families 6, 8, 10 having highest numbers individuals, each consisting 6 sheep. Furthermore, 294 ROHs detected, majority lengths between 1 5 Mb, inbreeding coefficient FROH 0.01. In addition, 41, 440, 994 candidate by methods, respectively, 3 overlapping (BMPR1B, KCNIP4, FAM13A). These results offer valuable insights future breeding, assessment, management.

Language: Английский

Citations

2
Physicochemical Properties of Korean Black Goat Sausage with Aronia melanocarpa Powder DOI

Kyu-Min Kang,

Myong-Ki Kim

Resources Science Research, Journal Year: 2024, Volume and Issue: 6(1), P. 48 - 58

Published: June 1, 2024

Language: Английский

Citations

1
Nano-Selenium Reduces Concentrations of Fecal Minerals by Altering Bacteria Composition in Feedlot Goats DOI Creative Commons
Hu Liu,

Kaiyu Mao,

Weishi Peng

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(12), P. 2233 - 2233

Published: Dec. 6, 2024

This study examined the effect of dietary supplementation nano-selenium (nano-Se) on average daily gain (ADG), fecal bacteria community, and concentrations minerals volatile fatty acids in feedlot Hainan black goats. Eighteen goats (18.6 ± 0.69 kg) were divided randomly into three groups, with each group receiving a different level supplementary nano-Se (n = six per treatment) as follows: (1) 0.0 mg (CON); (2) 0.2 mg; (3) 0.4 nano-Se/kg dry matter intake (DMI). The final body weight (p 0.012) ADG increased linearly < 0.01), whereas ratio DMI to decreased 0.01) increasing levels. Fecal Se 0.001), Cu Zn 0.020), Fe 0.010) relative abundances Treponema 0.046), norank_f__norank_o__Clostridia_UCG-014 norank_ f_norank_o__RF39 Eubacterium_siraeum_group Family_XIII_AD3011_group 0.040) linearly, unclassified_f__Lachnospiraceae Rikenellaceae_RC9_gut_group Eubacterium_ruminantium_group 0.021), Prevotella 0.001) It was concluded that could improve reduce heavy metals by altering bacterial community We recommend approximately DM for goats, but further research is warranted determine precise dose possible contamination risks Se.

Language: Английский

Citations

1
Comparative Whole-Genome Analysis of Production Traits and Genetic Structure in Baiyu and Chuanzhong Black Goats DOI Creative Commons
Jing Luo, Qi Min, Xueliang Sun

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3616 - 3616

Published: Dec. 15, 2024

Natural selection and artificial breeding are crucial methods for developing new animal groups. The Baiyu black goats Chuanzhong indigenous goat breeds from distinct ecological regions in Sichuan Province, with dramatically different growth reproductivity. This study aimed to systematically elucidate the differences production performance genetic traits between goats. We quantified reproductive attributes both breeds. Furthermore, we conducted a comprehensive analysis of diversity, population structure, signatures using whole-genome resequencing data. dataset included 30 individuals breed, 41 an additional 59 representing Chengdu grey goats, Tibetan cashmere Jianchang totaling 130 across five comparative revealed that weight body size were significantly higher than those (p < 0.01). At same time, average kidding rate kid-weaning survival also notably superior exhibited more abundant diversity compared goat, according grounded on genomic variation. closely related whereas share closer relationship Additionally, employed π, Fst, XP-EHH methodologies identify genes immunity (TRIM10, TRIM15, TRIM26, TRIM5), neurodevelopment (FOXD4L1, PCDHB14, PCDHB4, PCDHB5, PCDHB6, PCDHB7), reproduction (BTNL2 GABBR1), (NCAPG, IBSP, MKNK1), meat quality (SUCLG2 PGM5). These results provide theoretical basis further resource conservation improvement goat.

Language: Английский

Citations

1