Livestock Science, Journal Year: 2024, Volume and Issue: unknown, P. 105574 - 105574
Published: Sept. 1, 2024
Language: Английский
Livestock Science, Journal Year: 2024, Volume and Issue: unknown, P. 105574 - 105574
Published: Sept. 1, 2024
Language: Английский
animal, Journal Year: 2024, Volume and Issue: 18(6), P. 101147 - 101147
Published: March 28, 2024
Understanding the genetic characteristics of indigenous goat breeds is crucial for their conservation and breeding efforts. Hainan black goats, as a native breed south China's tropical island province Hainan, possess distinctive traits such hair, moderate growth rate, good meat quality, small body size. However, they exhibit exceptional resilience to rough feeding conditions, high-quality meat, show remarkable resistance stress heat. In this study, we resequenced whole genome goats study economic basis these leveraged whole-genome sequencing data from 33 analyze single nucleotide polymorphism(SNP) density, Runs homozygosity (ROH), Integrated Haplotype Score (iHS), effective population size (Ne), Nucleotide diversity Analysis (Pi) selection characteristics. Our findings revealed that harbor substantial degree variation, with total 23 608 983 polymorphisms (SNPs) identified. ROHs identified 53 710 segments, predominantly composed short fragments, inbreeding events mainly occurring in ancient ancestors, estimates based on ROH typically values ranging 0.107 0.186. This primarily attributed significant declines over recent generations. Moreover, 921 candidate genes within intersection region iHS. Several are associated immunity (PTPRC, HYAL1, HYAL2, HYAL3, CENPE PKN1), heat tolerance (GNG2, MAPK8, CAPN2, SLC1A1 LEPR), quality (ACOX1, SSTR1, CAMK2B, PPP2CA PGM1), cashmere production (AKT4, CHRM2, OXTR, AKT3, HMCN1 CDK19), (TLR2, IFI44, ENPP1, STK3 NFATC1). The presence may be adaptation local climate conditions. insights gained provide valuable references solid foundation preservation, breeding, utilization resources.
Language: Английский
Citations
5Animals, Journal Year: 2023, Volume and Issue: 13(10), P. 1645 - 1645
Published: May 15, 2023
Wenchang chickens, a native breed in the Hainan province of China, are famous for their meat quality and adaptability to tropical conditions. For effective management conservation, present study, we systematically investigated characteristics genetic variations runs homozygosity (ROH) along genome using re-sequenced whole-genome sequencing data from 235 chickens. A total 16,511,769 single nucleotide polymorphisms (SNPs) 53,506 ROH segments were identified all individuals, chicken mainly composed short (0-1 megabases (Mb)). On average, 5.664% was located across samples. According several parameters, diversity relatively high. The average inbreeding coefficient chickens based on FHOM, FGRM, FROH 0.060 ± 0.014, 0.561 0.020, 0.0566 0.01, respectively. 19 islands containing 393 genes detected 9 different autosomes. Some these putatively associated with growth performance (AMY1a), stress resistance (THEMIS2, PIK3C2B), traits (MBTPS1, DLK1, EPS8L2), fat deposition (LANCL2, PPARγ). These findings provide better understanding degree hereditary basis shaped under selection. results valuable future breeding, utilization other breeds.
Language: Английский
Citations
11Animals, Journal Year: 2024, Volume and Issue: 14(2), P. 201 - 201
Published: Jan. 8, 2024
Tunchang pigs are an indigenous pig population in China known for their high tolerance to roughage, delicious meat, and fecundity. However, the number of has been declining due influence commercial breeds African swine fever, which could potentially lead inbreeding. To assess inbreeding level genetic basis important traits pigs, our research investigated patterns "runs homozygosity" (ROHs) using whole genome resequencing data from 32 pigs. The study aimed determine length, number, coverage, distribution model ROHs as well genomic regions with ROH frequencies. results revealed that a total 20,499,374 single-nucleotide polymorphisms (SNPs) 1953 fragments were recognized individuals. predominantly short, ranging 0.5 1 megabases (Mb) length. Furthermore, coverage varied across chromosomes, chromosome 3 having highest 11 lowest coverage. diversity was found be relatively based on values
Language: Английский
Citations
4Genes, Journal Year: 2025, Volume and Issue: 16(3), P. 316 - 316
Published: March 7, 2025
Background: Quantifying and controlling the inbreeding level in livestock populations is crucial for long-term sustainability of animal husbandry. However, extent has not been fully understood sheep on a global scale. Methods: Here, we analyzed high-depth genomes 210 from 20 worldwide breeds to identify pattern distribution genome-wide runs homozygosity (ROH) detect candidate selected genes ROH islands agronomic phenotypic traits. Results: Leveraging whole-genome sequencing data, found large number short (e.g., <1.0 Mb) all observed overall higher values statistics coefficient European than Asian Dorper sheep. We identified some well-known CAMK4, HOXA gene family, ALOX12, FGF11, MTOR) 40 novel KLHL1, FGFRL1, WDR62, GDF6, KHDRBS2, PAX1) that are functionally associated with fecundity, body size, wool-related traits Based genes, revealed different genetic bases fecundity Conclusions: This study improves resolution detection provides new insights into genomic trait architecture as well useful markers future breeding practice.
Language: Английский
Citations
0BMC Genomics, Journal Year: 2025, Volume and Issue: 26(1)
Published: March 31, 2025
Ding'an (DA) pig, a native Chinese breed, is renowned for its excellent meat quality, disease resistance, high reproductive performance, and adaptability. Its quality traits hold significant economic value. However, conservation population has been declining due to the impact of commercialized breeds African swine fever, which not conducive development utilization. This study utilized whole-genome resequencing data from 15 DA pigs reveal their genetic characteristics current resource status. We analyzed length, number, distribution patterns Runs Homozygosity (ROH) in pigs, as well high-frequency ROH regions. The results identified 23,208,098 single nucleotide polymorphisms (SNPs), 4,497,242 insertion deletion (InDels), 13,622 copy number variation (CNVs), 399,934 structure (SVs). Further analysis revealed relatively diversity low inbreeding levels pigs. Through functional gene enrichment regions, we multiple candidate genes associated with specific including (ANKRD1, CPNE5, MYOM1), fat deposition (OBSCN, MAPK4, PNPLA1, PACSIN1, GRM4), skeletal muscle (LRPPRC, WNT9A). conducted sequencing on revealing within population. deposition, development. These findings only enhance our understanding mechanisms underlying unique but also provide valuable insights practical applications. Specifically, genomic regions can guide efforts maintain mitigate risks. Meanwhile, these be integrated into breeding programs improve other economically important traits, thereby supporting sustainable utilization
Language: Английский
Citations
0Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 426 - 426
Published: April 16, 2025
Runs of homozygosity (ROH) are key elements the genetic structure populations, reflecting inbreeding levels, selection history, and potential associations with phenotypic traits. This study proposes a novel approach to ROH analysis through visualization classification using convolutional neural networks (CNNs). Genetic data from Large White (n = 568) Duroc 600) pigs were used construct maps, where each homozygous segment was classified by length visualized as color-coded image. The conducted in two stages: (1) animals breed based on maps (2) identification presence or absence trait (limb defects). Genotyping performed GeneSeek® GGP SNP80x1_XT chip (Illumina Inc., San Diego, CA, USA), segments identified software tool PLINK v1.9. To visualize individual we utilized modified function HandyCNV package. results showed that CNN model achieved 100% accuracy, sensitivity, specificity classifying pig breeds maps. When analyzing binary (presence limb defects), demonstrated an accuracy 78.57%. Despite moderate predicting trait, high negative predictive value (84.62%) indicates model’s reliability identifying healthy animals. method can be applied not only animal breeding research but also medicine association between hereditary diseases. Future plans include expanding other types developing mechanisms improve interpretability deep learning models.
Language: Английский
Citations
0Animals, Journal Year: 2025, Volume and Issue: 15(8), P. 1178 - 1178
Published: April 20, 2025
The genetic mechanisms underlying the formation of defects, such as bumps and growths on hock joints in pigs, remain poorly understood. Therefore, aim this study was to investigate relationship between runs homozygosity (ROH) joint bumps, with goal identifying associated SNPs candidate genes involved these defects. conducted a population Large White breed pigs (n = 568) using analysis genome-wide association studies (GWAS). results suggested that predisposition may have arisen due recent selective breeding pressure. Using GWAS, 27 were identified at suggestive significance level, one SNP (rs325478346) reaching significance. These markers are localized various biological processes, including lipid metabolism (VIPR2 CFTR), inflammatory processes (MTURN ADCY2), connective tissue structural integrity (COL27A1), muscle regeneration (PAMR1), ion exchange cellular homeostasis (KCNIP4 NALCN), well regulation cell growth, extracellular matrix remodeling, fibroblast differentiation (CEP120 SCUBE3). Further research utilizing omics technologies will provide deeper insights into pathogenesis contribute development strategies for prevention potential treatment defect.
Language: Английский
Citations
0Ruminants, Journal Year: 2022, Volume and Issue: 2(2), P. 255 - 270
Published: June 8, 2022
Environmental stressors have, over generations, influenced the morphology, anatomy, behaviour, physiology, and genetic structure of small ruminants. The widespread dispersal ruminants vast geographical areas occurred along with human migration, thereby promoting adaptative process to different environmental conditions mainly through natural selection. Ongoing global warming prompted scientific efforts deepen knowledge understanding adaptation traits in Compared other ruminants, sheep goats seem have a better ability stressors, as evident by their presence across geographic on level. Adaptation specific environment leads variations precise genomic regions, allowing for identification selection animals high capacity stressors. Rapid development sequencing technologies, together bioinformatics tools, make it possible analyse regions related adaptation. Hence, aims this review were (i) outline main steps evolution goat species, (ii) summarise candidate genes adaptation, (iii) evaluate both conservation possibilities these native ruminant breeds future challenges face warming.
Language: Английский
Citations
16Animal Genetics, Journal Year: 2023, Volume and Issue: 54(3), P. 239 - 253
Published: Feb. 3, 2023
We used genome-wide SNP data from 18 local cattle breeds six countries of the Alpine region to characterize population structure and identify genomic regions underlying positive selection. The geographically close Evolèner, Eringer, Valdostana Pezzata Nera, Castana were found differ all other breeds. In addition, three breeds, Simmental, Original Braunvieh Switzerland Pinzgauer Austria built separate clusters. Of studied, intra-alpine Swiss breed Evolèner had highest average inbreeding based on runs homozygosity (FROH ) relationship within breed. contrast, Slovenian Cika lowest selection signatures chromosome 6 near known genes such as KIT LCORL explaining variation in coat color body size cattle. most prominent similar regardless marker density set. using available high-density 14 we identified 47 genome ROH islands. proportion homozygous animals was higher studied than Holstein Brown cattle, two important commercial region. report islands related thermoregulation, color, production, stature. results this study serve a basis for search causal variants adaptation alpine environment specific characteristics selected during evolution
Language: Английский
Citations
9Animal Genetics, Journal Year: 2024, Volume and Issue: 55(2), P. 193 - 205
Published: Jan. 8, 2024
Abstract Large genotyping datasets, obtained from high‐density single nucleotide polymorphism (SNP) arrays, developed for different livestock species, can be used to describe and differentiate breeds or populations. To identify the most discriminating genetic markers among thousands of genotyped SNPs, a few statistical approaches have been proposed. In this study, we applied Boruta algorithm, wrapper machine learning random forest on database 23 European pig (20 autochthonous three cosmopolitan breeds) with 70k SNP chip, pre‐select informative SNPs. sets these pre‐selected were then ranked based their mean decrease accuracy gene indexes. We evaluated efficiency subsets breed classification usefulness approach detect candidate genes affecting breed‐specific phenotypes relevant production traits that might differ breeds. The lowest overall error (2.3%) was reached subpanel including only 398 SNPs (ranked accuracy), no in seven using up 49 Several selected subpanels genomic regions which previous studies had identified signatures selection associated morphological distinguish analysed Therefore, even if not originally designed selection, results showed they could potentially useful purpose.
Language: Английский
Citations
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