Search Results (66)

Skeletal muscle development is a critical economic trait in livestock, governed by myogenic satellite cell regulation. Integrins mediate mechanical anchorage to the ECM and enable ECM–intracellular signaling. CIB2, as an EF-hand-domain protein involved in mechanotransduction, shows significant developmental regulation in goat muscle. Although the role of CIB2 in skeletal muscle growth is poorly characterized, we observed pronounced developmental upregulation of IB2 in postnatal goat muscle. CIB2 expression increased >20-fold by postnatal day 90 (P90) compared to P1, sustaining elevation through P180 (p < 0.05). Functional investigations indicated that siRNA-mediated knockdown of CIB2 could inhibit myoblast proliferation by inducing S-phase arrest (p < 0.05) and downregulating the expression of CDK4/Cyclin D/E. Simultaneously, CIB2 interference treatment was found to decrease the proliferative activity of goat myogenic satellite cells, yet it significantly promoted differentiation by upregulating the expression of MyoD/MyoG/MyHC (p < 0.01). Mechanistically, CTCF was identified as a transcriptional repressor binding to an intragenic region of the CIB2 gene locus (ChIP enrichment: 2.3-fold, p < 0.05). Knockdown of CTCF induced upregulation of CIB2 (p < 0.05). RNA-seq analysis established CIB2 as a calcium signaling hub: its interference activated IL-17/TNF and complement cascades, while overexpression suppressed focal adhesion/ECM–receptor interactions and enriched neuroendocrine pathways. Collectively, this study identifies the CTCF-CIB2–integrin α7β1–PI3K/AKT axis as a novel molecular mechanism that regulates the balance of myogenic fate in goats. These findings offer promising targets for genomic selection and precision breeding strategies aimed at enhancing muscle productivity in ruminants. Full article

The transforming growth factor-beta (TGF-β) superfamily plays a crucial role in regulating female reproductive traits, particularly litter size, in small ruminants, such as sheep and goats. This review comprehensively examines the molecular mechanisms through which TGF-β superfamily members—including bone morphogenetic proteins (BMPs), growth differentiation factor 9 (GDF9), inhibin (INHA and INHB), and associated signaling genes—influence ovarian follicular development, ovulation rate, and ultimately, litter size. We synthesize recent findings on polymorphisms in key genes, such as BMPR1B, BMP15, GDF9, inhibins and SMADs family genes, across diverse sheep and goat breeds worldwide. The manuscript highlights how specific mutations in these genes create an intricate signaling network that modulates granulosa cell proliferation, follicular sensitivity to FSH, and the prevention of dominant follicle selection. These molecular interactions result in increased ovulation rates and larger litter sizes in prolific breeds. The gene dosage effects observed in heterozygous versus homozygous mutation carriers further illuminate the complex nature of these reproductive regulations. This improved the understanding of the genetic basis for prolificacy provides valuable insights for marker-assisted selection strategies aimed at enhancing reproductive efficiency in small ruminant breeding programs, with significant implications for improving livestock productivity and economic outcomes. Full article

Jabal Akhdar goats, native to Oman’s high-altitude Jabal Akhdar mountain range, are recognized for their high growth rate, remarkable twinning rate, and adaptability to harsh environmental conditions. This study assesses the genetic structure, inbreeding levels, effective population size (N_e), and linkage disequilibrium (LD) of Jabal Akhdar goats while identifying genomic regions under positive selection that may contribute to their environmental adaptation. The SNP genotypes from 72 Jabal Akhdar goats and two desert breeds from Egypt (153 Barki and 60 Saidi) revealed a clear genetic distinction between both groups. Within the Jabal Akhdar goats, genetic differentiation was also identified among the three sampled villages, indicating a village-specific genetic structure. The Jabal Akhdar breed exhibited a moderate level of inbreeding (F_ROH = 0.16), greater than that of the Barki and Saidi breeds. Additionally, Jabal Akhdar goats displayed greater LD and lower N_e levels compared to the Egyptian breeds. Analysis of runs of homozygosity (ROH) and extended haplotype homozygosity-based statistics (iHS and Rsb) identified 93 genomic regions exhibiting signatures of positive selection (80 from ROH, 5 from iHS, and 8 from Rsb). These regions harbor genes associated with traits essential for environmental adaptability, including hypoxia tolerance (SUCNR1, ANGPTL1, MITF, MTUS2), muscle development and function (MBNL1, ACTC1, CAPN5), fertility (GNRHR, CCNA1, SPAG1), UV radiation resistance (UVRAG, BRCA1), bone development (SOST, MEOX1), and lipid metabolism for energy utilization (DGAT2, G6PC, SUCLG2). The results of this study provide valuable insights for identifying causative variants and haplotypes underlying the Jabal Akhdar goat’s superior adaptability. These findings can guide breeders in designing conservation strategies and improving the productivity of this unique indigenous breed. Full article

Background: Cashmere is one of the important economic products of goats, and the KRTAP gene family, as an important family of regulatory genes in the growth process of cashmere fiber, largely affects the quality of cashmere. Methods: In this study, the KRTAP6-3 gene was identified and located on goat chromosome 1 using a goat genome homology search combined with a phylogenetic tree approach. The Longdong cashmere goat KRTAP6-3 gene variation and its effect on cashmere quality were explored by using the polymerase chain reaction single-stranded conformation polymorphism (PCR-SSCP) technique, in situ hybridization, and the allele presence/absence model. Results: The results identified a total of six SNPs in KRTAP6-3, three of which were located in the coding region and two of which were synonymous mutations, in addition to 45- bp deletion sequences detected in alleles C and F. Moreover, the KRTAP6-3 mRNA showed a strong expression signal in the cortical layer of the primary and secondary follicles in the inner root sheaths, as well as in the cells of the hair papillae and the matrices during the anagen phase, and signaling at the sites described above is attenuated during the telogen phase. The presence of allele C was associated with increased MFD (mean fiber diameter) (p < 0.01). The MFD of goats with allele C genotype (genotype AC) was significantly higher (p < 0.05) than that of goats without allele C genotype (genotypes AA and AB). Conclusions: This indicates that genetic variation in the KRTAP6-3 gene in goats is significantly associated with cashmere traits and can serve as a candidate gene for molecular markers of cashmere traits. Full article

Understanding the genetic and phenotypic basis of economically important traits is essential for designing effective breeding programs in livestock. This study aimed to evaluate the phenotypic performance and estimate genetic parameters for one reproductive trait—litter size at birth (LSB)—and three pre-weaning growth traits—birth weight (BW), weaning weight (WW), and average daily gain (ADG)—in a population of 1888 Zaraibi kids born between 2018 and 2023. Genetic parameters were estimated using animal models implemented in the MTDFREML software. The overall least squares means (±standard error) for LSB, BW, WW, and ADG were 2.22 ± 0.02, 2.03 ± 0.01 kg, 10.22 ± 0.05 kg, and 90.00 ± 0.50 g/day, respectively. Statistical analyses indicated that month of birth, year of birth, and type of birth had significant (p < 0.05) effects on all traits, while the sex of the kids had no significant effect (p > 0.05) on LSB. Direct heritability estimates (h²_d) derived from Model 1 (including additive genetic, permanent environmental, and residual effects) were 0.13 ± 0.01 for LSB, 0.30 ± 0.04 for BW, 0.38 ± 0.01 for WW, and 0.30 ± 0.10 for ADG. Under Model 2 (which incorporated maternal genetic effects and their covariance with direct genetic effects), maternal heritability (h²_m) estimates for LSB, BW, WW, and ADG were 0.05 ± 0.01, 0.15 ± 0.01, 0.12 ± 0.01, and 0.14 ± 0.01, respectively. Overall, the results emphasize the importance of maternal genetic effects in influencing pre-weaning growth traits. Therefore, maternal genetic components should be explicitly considered in genetic evaluation and selection strategies aimed at improving early growth performance in Zaraibi goats. Full article

This study aimed to identify the best model and method for the genomic selection of early growth traits in Inner Mongolian cashmere goats (IMCGs). Using data from 50,728 SNPs, the phenotypes (birth weight, BW; weaning weight, WW; daily weight gain, DWG; and yearling weight, YW) of 2256 individuals, and pedigree information from 14,165 individuals, fixed effects were analyzed using a generalized linear model. Four single-trait animal models with varying combinations of individual and maternal effects were evaluated using the ABLUP, GBLUP, and ssGBLUP methods. The best model was selected based on a likelihood ratio test. Five-fold cross-validation was used to assess the accuracy and reliability of the genomic estimated breeding values (GEBVs). Birth year and herd significantly affected BW (p < 0.05) and WW, DWG, and YW (p < 0.01), while sex, birth type, and dam age had highly significant effects on all traits (p < 0.01). Model 4, incorporating direct and maternal additive genetic effects, maternal environmental effects, and their covariance, was optimal. Additionally, ssGBLUP achieved the highest GEBV accuracy (0.61–0.70), outperforming the GBLUP and ABLUP methods. Thus, ssGBLUP is recommended for enhancing the genetic progress in IMCGs. Under the best method, the heritability estimates for BW, WW, DGW, and YW were 0.11, 0.25, 0.15, and 0.23, respectively. Full article

This study aimed to estimate the variance, heritability, and genetic correlation of growth traits in Inner Mongolia white cashmere goats (Erlangshan type) (IMWCG-ER). Data collected from the Erlang Mountain Ranch in 2022–2023 were analyzed. The traits studied included birth weight (BW), weaning weight (WW), pre-weaning daily gain (ADG), and the 12-month weight (12W). In animal models, single and multi-trait analyses were performed using the restricted maximum likelihood (REML) method to estimate genetic parameters, and six different models were fitted for each trait by ignoring or including maternal permanent environmental effects, maternal additive genetic effects, and the interaction with individual additive genetic effects. The accuracy and suitability of each model were tested using the likelihood ratio and AIC and BIC tests. The heritability estimates of birth weight, weaning weight, daily gain before weaning, and the 12-month weight were 0.3884, 0.2951, 0.2749, and 0.2192, respectively. The absolute value of the genetic correlation coefficient between traits ranged from −0.8700 to 0.5529. The highest genetic association was between birth weight and pre-weaning daily gain (−0.8700), followed by birth weight and the 12-month weight (−0.6256). The absolute value of phenotypic correlation coefficients ranged from −0.7906 to 0.3562. The highest phenotypic correlation was between birth weight and daily gain before weaning, and the correlation coefficient was −0.7906. Full article

Background/Objectives: Whole-genome sequencing (WGS) data provide valuable information about the genetic architecture of local livestock but have not yet been applied to Russian native goats, in particular, the Orenburg and Karachay breeds. A preliminary search for selection signatures based on single nucleotide polymorphism (SNP) genotype data in these breeds was not informative. Therefore, in this study, we aimed to address runs of homozygosity (ROHs) patterns and find the respective signatures of selection overlapping candidate genes in Orenburg and Karachay goats using the WGS approach. Methods: Paired-end libraries (150 bp reads) were constructed for each animal. Next-generation sequencing was performed using a NovaSeq 6000 sequencer (Illumina, Inc., San Diego, CA, USA), with ~20X genome coverage. ROHs were identified in sliding windows, and ROH segments shared by at least 50% of the samples were considered as ROH islands. Results: ROH islands were identified on chromosomes CHI3, CHI5, CHI7, CHI12, CHI13, and CHI15 in Karachay goats; and CHI3, CHI11, CHI12, CHI15, and CHI16 in Orenburg goats. Shared ROH islands were found on CHI12 (containing the PARP4 and MPHOSPH8 candidate genes) and on CHI15 (harboring STIM1 and RRM1). The Karachay breed had greater ROH length and higher ROH number compared to the Orenburg breed (134.13 Mb and 695 vs. 78.43 Mb and 438, respectively). The genomic inbreeding coefficient (F_ROH) varied from 0.032 in the Orenburg breed to 0.054 in the Karachay breed. Candidate genes associated with reproduction, milk production, immunity-related traits, embryogenesis, growth, and development were identified in ROH islands in the studied breeds. Conclusions: Here, we present the first attempt of elucidating the ROH landscape and signatures of selection in Russian local goat breeds using WGS analysis. Our findings will pave the way for further insights into the genetic mechanisms underlying adaption and economically important traits in native goats. Full article

We evaluated the possible effect of maternal social rank (SR) concerning different morpho-physiological maternal indicators such as live weight (LWM, kg), body condition score (BCS, units), thoracic diameter (TD, cm), thoracic perimeter (TP, cm), and serum glucose content (GLU, mg dL⁻¹), upon the kid’s live weights (LWGK, kg) during the birth-to-weaning period. To define the SR [either high (HSR) or low (LSR)], a behavioral study was conducted on pregnant goats managed under semi-extensive conditions in northern arid Mexico (25° N; Alpine–Saanen–Nubian × Criollo; n = 15, 2–3 y/old) 30 days before the expected kidding date. The behavioral study was conducted during feeding time (i.e., 08:00, 13:00, and 17:00; 60 min test⁻¹, 180 min d⁻¹). The HSR goats showed higher values (p < 0.05) regarding prepartum, parturition, postpartum weights, and zoometric values. However, no differences (p > 0.05) between HSR and LSR goats occurred concerning the maternal serum glucose values, litter size, individual kid weights, or litter weights at weaning. Full article

Goats play a vital role in global livestock systems, particularly in developing regions, where they contribute significantly to meat production and smallholder livelihoods. Indigenous goats in sub-Saharan Africa are essential to low-input farming systems, valued for their adaptability to harsh environments and their provision of meat, milk, and income. However, genomic research on these goats remains limited despite their importance. Recent advancements in genomic technologies, such as next-generation sequencing (NGS), genome-wide association (GWAS) studies, and single nucleotide polymorphism (SNP) mapping, have identified key genes like MSTN, IGF1, and CAST. These genes influence muscle growth, fat deposition, and meat tenderness, which are critical for improving growth performance, carcass characteristics, and meat quality. Genomic selection offers a promising avenue for enhancing economically valuable traits, such as faster growth rates and adaptability to challenging climates. This review highlights the potential of integrating genomic tools with traditional breeding practices to optimise goat production systems, enhance meat quality, and improve economic outcomes for farmers. It also underscores the need for further research to fully characterise the genetic diversity of indigenous goat breeds in sub-Saharan Africa. Addressing these knowledge gaps could significantly contribute to the region’s food security and sustainable farming practices. Full article

The Inner Mongolia cashmere goat is a local breed valued for both its cashmere and meat production. Early growth traits include birth weight and weaning weight. Generally, cashmere goats with higher birth and weaning weights tend to exhibit a higher carcass weight at slaughter. Consequently, exploring the genetic variation associated with these early growth traits is crucial in enhancing the meat production performance of Inner Mongolia cashmere goats. For this study, we performed genome-wide association analysis and haplotype analysis on the early growth traits of 212 Inner Mongolia cashmere goats (72 rams, 140 ewes) to identify molecular markers and haplotypes significantly associated with birth and weaning weights. Through genome-wide association analysis and gene annotation, we identified 21 SNPs and 117 candidate genes linked to early growth traits. Notably, genes such as RUNX1T1, ERBIN, MYO15B, NT5C, GRB2, ITGB4, and GALK emerged as significant factors influencing the early growth of Inner Mongolia cashmere goats. Additionally, nine haplotype blocks related to early growth traits were constructed, resulting in eight haplotype combinations. In conclusion, the haplotype combinations A1A1, C1C1, and D1D1 were found to be beneficial for the genetic improvement of early growth traits in Inner Mongolia cashmere goats. Full article

Methionine (Met) was the first limiting amino acid identified in cashmere goats, and 2-hydroxy-4-(methylthio) butanoic acid isopropyl ester (HMBi) can effectively provide Met and encourage cashmere growth in goats. However, existing studies have primarily centered on the trait of cashmere growth and have not delved into the underlying molecular and physiological mechanisms by which HMBi promotes cashmere growth in goats. In the present study, we combined metabolomic and transcriptomic approaches to reveal the effects of HMBi supplementation and its impact on the gene expressions and metabolic profiles within the skin tissue of Liaoning cashmere goats. A total of 14 female Liaoning cashmere goats were randomly allocated to the control (CON) and HMBi groups. The CON group received a basal diet, and the HMBi group was fed the basal diet plus 1.27% HMBi. Our results show that HMBi supplementation significantly increased (p < 0.05) the cashmere length and decreased the cashmere diameter in the goats. The metabolomics results show that the HMBi supplementation increased (variable importance in projection >1 and p < 0.05) the concentrations of Met, 2-Hydroxy-4-methylthiobutanoic acid (HMB), proline betaine, and 10-hydroxydecanoic acid in the skin tissue of the goats. For HMB degradation and Met cycle-related genes, compared with the CON diets, the HMBi diets elevated (p < 0.05) LDHD, MAT1A, and AHCY by 86.33%, 154.54%, and 147.89% in the skin tissue, respectively. Regarding genes related to cell proliferation and differentiation, the HMBi supplementation increased (p < 0.05) CCND1, CDK4, IVL, and BMP4 by 113.31%, 107.93%, 291.33%, and 186.21%, respectively. The results of the transcriptome evaluation show that the differential expression genes were mainly enriched (p < 0.05) in the Wnt and MAPK signaling pathways. In summary, these findings indicate that the Met cycle, Wnt, and MAPK play important roles in the process of HMBi, promoting cashmere growth in Liaoning cashmere goats. Full article

Goats are widely recognized for their adaptability and resource efficiency, making them an excellent choice for sustainable farming. However, the Hainan Black goat (HNBG), a vital breed in southern China’s tropical regions, faces significant challenges that threaten its productivity and economic viability. Specifically, young HNBGs exhibit stunted growth and poor muscle development, indicating the breed may have more genetic defects that cause the poor phenotypes. The FNDC5 gene, which encodes the protein irisin, plays a key role in promoting mitochondrial biogenesis and oxidative metabolism by activating critical signaling molecules such as PGC-1α, thereby enhancing muscle endurance and metabolic efficiency. This study aimed to investigate the impact of missense mutations in the FNDC5 gene on growth and meat quality traits in HNBGs. We sequenced a population of HNBGs and identified three SNPs that could lead to amino acid substitutions. Notably, SNP1 (p.119A/V) and SNP2 (p.135R/H) showed strong linkage. Predictions on the structural effects of these mutations indicated that SNP1 (p.119A/V) and SNP3 (p.170W/G) could alter the secondary structure of the FNDC5 protein. Association analyses revealed that SNP1 (p.119A/V) and SNP2 (p.135R/H) were significantly associated with morphometric traits and meat quality. The phenotypic values of SNP1 and SNP2 co-mutants were significantly lower than those of other combined genotypes. Furthermore, gene expression levels of FNDC5 varied notably across individuals with different SNP1 genotypes. These findings suggest that FNDC5-SNP1 (p.119A/V) could serve as a promising genetic marker for selecting HNBGs with improved growth and muscle development, offering a potential pathway for enhancing key economic traits in this breed. Full article

Understanding the genetic characteristics of indigenous goat breeds is vital for their conservation and breeding. Haimen goats, native to China’s Yangtze River Delta, possess distinctive traits such as white hair, moderate growth rate, high-quality meat, and small body size. However, knowledge regarding the genetic structure and germplasm characteristics of Haimen goats remains limited. In this study, we performed 20× whole-genome resequencing of 90 goats (60 Haimen goats and 30 Boer goats) to identify single-nucleotide polymorphisms (SNPs) and insertions/deletions (Indels) associated with growth traits. Here, we analyzed population genetic structure and genome-wide selection signatures between the Haimen and Boer goats based on whole-genome resequencing data. The principal component analysis (PCA) and neighbor-joining (N-J) tree results demonstrated significant genetic differentiation between the Haimen and Boer goats. The nucleotide diversity (Pi) and linkage disequilibrium (LD) decay results indicated higher genomic diversity in the Haimen goat population. Furthermore, selective sweep analysis identified candidate genes associated with growth traits. These genes exhibited strong selection signatures and were related to body size (DONSON, BMPR1B, and EPHA5), muscle development (GART, VGLL3, MYH15), and fat metabolism (ADAMTS5, LRP6, XDH, CPT1A, and GPD1). We also identified growth-related candidate genes (NCOR1, DPP6, NOTCH2, and FGGY) specific to Haimen goats. Among these genes, pancreatic lipase-related protein 1 (PNLIPRP1) emerged as the primary candidate gene influencing growth phenotypes. Further analysis revealed that a 26 bp Indel in PNLIPRP1 increased its gene expression, suggesting that this Indel could serve as a molecular marker for early marker-assisted selection, potentially enhancing early growth in goats. These findings provide valuable molecular markers and candidate genes for improving growth traits in Haimen goat breeding. Full article

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