Feed efficiency makes up a large part of sheep production, which also has a crucial impact on the economic benefits of producers. This study explores the polymorphism of Adenylyl cyclase 8 gene associated with feed efficiency and detects the expression characteristics of ADCY8 in ten tissues of Hu sheep. The polymorphism of ADCY8 was recognized by using PCR amplification and Sanger sequencing, KASPar technology was used for genotyping subsequently, and the relationship between SNP and RFI is also studied. The results indicated that an intronic mutation g.24799148 C > T (rs 423395741) was identified in ADCY8, and association analysis showed that the SNP g.24799148 C > T (rs 423395741) was significantly associated with RFI at 100–120, 100–140, 100–160, and 100–180 days (p < 0.05). The quantitative real-time PCR (qRT-PCR) result showed that ADCY8 was expressed in ten tissues, and the expression of ADCY8 gene in rumen tissue was significantly higher than in the other tested tissues. Therefore, these results indicated that the ADCY8 mutation locus may be used as a candidate molecular marker for evaluating the feed efficiency of Hu sheep.

As a member of the PGAMs family, PGAM2 has been proved to catalyze the reversible reaction of 3-phosphoglycerate (3-PGA) to 2-phosphoglycerate (2-PGA) in the glycolytic pathway. However, it is unclear whether PGAM2 has a role in regulating differentiation in goat intramuscular preadipocytes. Here, this study was carried to clone the open reading frame (ORF) of goat PGAM2, elucidate its molecular and expressional characteristics, and evaluate the involvement in adipogenesis of intramuscular preadipocytes. According to our findings, the cloned goat PGAM2 gene was 784 bp in full length, including 762 bp of ORF and encoding a protein of 253 amino acids. The expressional level of PGAM2 peaked at 48 hours after induced adipogenic differentiation and was highest in the skeletal muscle of triceps. Moreover, overexpression of PGAM2 transfected by its overexpression plasmid promotes lipid accumulation of goat intramuscular adipocyte as shown by Oil Red O and bodipy staining, accompanied by up-regulating the mRNA levels of peroxisome proliferator-activated receptor γ (PPARγ) (p < 0.001), sterol regulatory element-binding protein 1 (SREBP1) (p < 0.001), CCAAT/Enhancer-binding protein α (C/EBPα) (p < 0.01) and lipoprotein lipase (LPL) (p < 0.01). Taken together, these findings indicate that PGAM2 is a positive regulator for goat intramuscular adipocytes and provide new insights into improvement intramuscular fat deposition in goat meat.

Due to the poor growth rate of the Taiwan black (TB) goat in Taiwan, many exotic breeds were brought into breeding schemes to improve TB goat. However, the excessive cross-breeding of alien species with TB goat has decreased its population numbers, genetic variation and biodiversity. Therefore, TB goat population considered an endemic species in Taiwan that needed to be conservation. The objective of the present study was to analyze the genetic structure and TB goat using genetic markers for genetic improvement and to sustain germplasm conservation and utilization. 15 microsatellite markers, divided into three sets, were used to analyze 690 goats sampled from 10 goat populations. The average number of alleles (Na) and effective alleles (Ne) was 11.87 ± 3.93 and 5.093 ± 1.768, respectively. The average expected heterozygosity (HE) and observed heterozygosity (HO) was 0.780 ± 0.084 and 0.602 ± 0.116, respectively. The average polymorphic information content (PIC) was 0.747 ± 0.103; F IS was 0.058 ± 0.075. All 15 microsatellite markers were highly polymorphic. The genetic distances between individuals were estimated to construct a phylogenetic tree. In present study, the 690 goat samples were divided into 8 clusters. The results indicated that these 15 microsatellite markers successfully clustered goat populations in Taiwan and could assist in the preservation of TB goats.

Bone weakness causes many problems such as osteoporosis, bone fractures, and economic loss, especially at the late stage of lay, in laying hen production. However, the genetic factors and molecular mechanism affecting the bone strength is still largely unknown. To elucidate the molecular mechanism and genetic factors affecting bone strength, a total of six cDNA libraries were constructed and used to compare genetic differences between tibia with higher（Group HBS）and lower（Group LBS）breaking strength in Hyline grey layers. A comparison between Groups HBS and LBS revealed nine differentially expressed genes, of which five were upregulated and four were downregulated in the LBS relative to the HBS in tibia. Our results showed novel candidate genes concerned with bone strength in the late laying period. These include transcription factor paired box protein Pax-5 (Pax5), tissue inhibitor of Metallopoteinase-4 (TIMP4), Kelch-like protein 14 (KLHL14), predicted MAGUK p55 subfamily member 7 isoform X4 (MPP7) and Osteoclast-associated Ig-like receptor (OSCAR). Our data provide a vital resource for discovering important candidate genes associated with bone strength and will help further study the molecular mechanisms for bone remodeling.

A total of 320 one-day-old broiler chickens were used in a 42-day feeding trial to evaluate the effects of peppermint (Mentha piperita L.) and chicory (Cichorium intybus L.) in comparison with a prebiotic on-growth performance, blood constitutes, immunity and intestinal microflora. The dietary treatments were as follows: basal diet (control); control + prebiotic (Fermacto™); control + 0.1% peppermint; control + 0.1% chicory, respectively. A significant (p < 0.05) body weight gain and feed intake was found at 21 and 42 days of growth period in broilers fed diet supplemented with 0.1% chicory compared with other groups. Feeding of prebiotic or chicory led to higher (p < 0.05) feed intake. Chickens fed control diet had higher (p < 0.05) abdominal fat compared with the other groups. Serum blood constituents indicated that broilers fed prebiotic or supplemented with peppermint or chicory had reduced (p < 0.05) levels of cholesterol, triglycerides and low-density lipoprotein than control group. Immunity-related parameters showed that chicken fed chicory had lower (p < 0.05) heterophil-to-lymphocyte ratio compared with the other groups. Intestinal microflora revealed that chickens fed prebiotic or herbals had higher count of Lactobacillus and lower E. coli than control. Thus, it can be concluded that broiler dietary supplementation with prebiotic or chicory can improve performance supporting positively health status.

Accurate and unbiased assessment of genetic parameters of milk and milk composition traits play an important role in formulating breeding program for genetic improvement of Murrah buffaloes. In this study, data spread over 28 years were utilized to estimate genetic parameters of traits viz., 305 d milk yield (305MY), 305 d fat yield (305FY), 305 d solid not fat yield (305SNFY), milk fat percentage (fat%) and solid not fat percentage (SNF) percentage (SNF%) in Murrah buffaloes kept at ICAR-National Dairy Research Institute, Karnal. Bayesian multiple-trait analysis was done using animal model and Gibbs sampling to estimate (co)variance components. Posterior means of heritability and posterior standard deviation for 305MY, 305FY, 305SNFY, fat% and SNF% were 0.18 ± 0.05, 0.17 ± 0.05, 0.18 ± 0.05, 0.07 ± 0.03 and 0.15 ± 0.06 and posterior means of repeatability estimates along with posterior standard deviation for corresponding traits were 0.33 ± 0.04, 0.32 ± 0.04, 0.33 ± 0.04, 0.14 ± 0.02 and 0.30 ± 0.04, respectively. Estimates of genetic correlation varied from −0.080 (305MY and fat %) to 0.999 (305MY and 305SNFY). Permanent environmental correlations varied from −0.060 (305MY and SNF%) to 0.999 (305FY and 305SNFY). This study indicated that all considered traits except fat% have ample genetic variability which can be exploited for selection and genetic improvement of Murrah buffaloes.

Advancements in the Nuclear Magnetic Resonance (NMR) and Mass Spectrometry (MS) along with recent developments in omics sciences have resulted in a better understanding of molecular mechanisms and pathways associated with the physio-pathological state of the animal. Metabolomics is a post-genomics tool that deals with small molecular metabolites in a given set of time which provides clear information about the status of an organism. Recently many researchers mainly focus their research on metabolomics studies due to its valuable information in the various fields of livestock management and precision dairying. The main aim of the present review is to provide an insight into the current research output from different sources and application of metabolomics in various areas of livestock including nutri-metabolomics, disease diagnosis advancements, reproductive disorders, pharmaco-metabolomics, genomics studies, and dairy production studies. The present review would be helpful in understanding the metabolomics methodologies and use of livestock metabolomics in various areas in a brief way.

Milk protein genes are associated with milk yield and composition in dairy animals. The present study aimed to identify milk protein genes (CSN1S1, CSN2, CSN3, and BLG) genetic variants and their association with milk yield in Sahiwal cattle and Nili-Ravi buffaloes. One hundred animals from each species were selected to collect blood samples and milk production records. Primers were designed for these milk protein genes for PCR amplification. Sequencing of resultant PCR products revealed a higher number of SNPs (13 vs. 7, 5 vs. 1, and 6 vs. 2) in Sahiwal as compared to Nili-Ravi animals in CSN1S1, CSN2, and CSN3 genes, respectively. However, a single SNP was observed in BLG gene of both species. Association analysis revealed that one SNP in BLG gene of Nili-Ravi was associated (p < 0.05) with 305-day milk yield. Two SNPs at CSN1S1 gene in Sahiwal were associated with dry-period. Similarly, one SNP at CSN1S1 and two SNPs at CSN3 gene showed significant association (p < 0.05) with average calving-interval in Sahiwal while two SNPs in CSN1S1 gene were associated (p < 0.05) with this trait in Nili-Ravi. These SNPs could be helpful as candidate variants for marker-assisted selection in cattle and buffaloes for improvement of lactation performance.

Spermatozoa from high-fertile (HF) and low-fertile (LF) breeding bulls were subjected to high-throughput next-generation sequencing to identify important Single nucleotide polymorphisms (SNPs) and novel variants associated with fertility. A total of 77,038 genome-wide SNPs were identified, among which, 10,788 were novel variants. A total of 42,290 and 34,748 variants were recorded with 6115 and 4673 novel variants in in HF and LF bulls, respectively. Higher number of SNPs were identified in HF compared to LF bulls. GO analysis of filtered genes with significant variations in HF bulls indicated their involvement in oxidative phosphorylation and metabolic pathways. GO analysis of filtered genes with significant variation in LF bulls revealed their involvement in Ca2++ ion binding, structural constituent of ribosome, and biological processes like translation and ribosomal small subunit assembly. The study identified SNPs in candidate genes including TPT1, BOLA-DRA, CD74, RPS17, RPS28, RPS29, RPL14, RPL13, and RPS27A, which are linked to sperm functionality, survival, oxidative stress, and bull fertility. The identified SNPs could be used in selection of bulls for high fertility and the variation in these genes could be established as an explanation for the fertility differences in bulls upon validation in large number of bulls.

Insulin-like growth factors 2 (IGF2) is an insulin-like growth factor that plays a major role in animal growth, cell proliferation and differentiation, as well as reproduction. IGF2 is well-known to be a candidate gene of growth and reproductive traits in many agricultural animals. Our previous study revealed that the G63A (Chr2: G26541617A) mutation within IGF2 exon 1 showed a significant association with egg numbers (E180d) of Sanhua goose population (p < 0.05). However, little work focus on the correlation between the IGF2 mutations and goose growth traits. In this study, qPCR indicated that the IGF2 mRNA highly expressed in leg muscle, liver, ovary and pituitary gland. Meanwhile, association analysis showed that the G63A mutation was significantly associated with the body weight of first-hatched Zhedong-White geese (BW0, p < 0.05), and strongly significantly associated with the BW2, BW4, BW6, BW8 and BW10 (p < 0.01). The GG homozygous had the lowest BW (from 4 weeks to 10 weeks) than those of AA and AG genotypes (p < 0.01), and the allele A was also positively correlated with the BW of the Zhedong-White goose population. Therefore, the G63A mutation in IGF2 may be an important genetic marker for goose breeding.