Growth Traits In Beef Cattle Research Articles

PSV-8 Investigation of a haplotype and eQTL analysis of the LCORL-NCAPG locus associated with increased lean growth in beef cattle

Abstract Numerous studies have shown genetic variation at the LCORL-NCAPG locus is strongly associated with growth traits in beef cattle. However, a causative molecular variant has yet to be identified. To define all possible candidate variants, Charolais-sired calves (n = 34) were whole genome sequenced including 17 homozygous for a long-range haplotype associated with increased growth (QQ), and 17 homozygous for potential ancestral haplotypes for this region (qq). The Q haplotype was refined to an 814-kb region between chr6:37,199,897-38,014,080 and contained 218 variants not found in qq individuals. These variants include an insertion in an intron of NCAPG, a previously documented mutation in NCAPG (rs109570900), two coding sequence mutations in LCORL (rs109696064 and rs384548488), and 15 variants located within ATAC peaks that were predicted to affect transcription factor binding. Notably, rs384548488 is a frameshift variant likely resulting in loss of function for long isoforms of LCORL. To test the association of the coding sequence variants of LCORL with phenotype, 405 cattle from five populations were genotyped. The two variants were in complete linkage disequilibrium. Statistical analysis of the three populations that contained QQ animals revealed significant (P < 0.05) associations with genotype and birth weight, body weight, carcass weight, hip height, and average daily gain. Additionally, an RNAseq analysis was performed using 22 of the Charolais-sired calves. This, in conjunction with the WGS data, was used to run an eQTL analysis, which revealed 256 genes whose expression were impacted by eQTL in the region (FDR < 0.05). These findings affirm the link between this locus and growth in beef cattle and describe DNA variants that define the haplotype. However, further studies will be required to define the true causative mutation.

Defining a Haplotype Encompassing the LCORL-NCAPG Locus Associated with Increased Lean Growth in Beef Cattle.

Numerous studies have shown genetic variation at the LCORL-NCAPG locus is strongly associated with growth traits in beef cattle. However, a causative molecular variant has yet to be identified. To define all possible candidate variants, 34 Charolais-sired calves were whole-genome sequenced, including 17 homozygous for a long-range haplotype associated with increased growth (QQ) and 17 homozygous for potential ancestral haplotypes for this region (qq). The Q haplotype was refined to an 814 kb region between chr6:37,199,897-38,014,080 and contained 218 variants not found in qq individuals. These variants include an insertion in an intron of NCAPG, a previously documented mutation in NCAPG (rs109570900), two coding sequence mutations in LCORL (rs109696064 and rs384548488), and 15 variants located within ATAC peaks that were predicted to affect transcription factor binding. Notably, rs384548488 is a frameshift variant likely resulting in loss of function for long isoforms of LCORL. To test the association of the coding sequence variants of LCORL with phenotype, 405 cattle from five populations were genotyped. The two variants were in complete linkage disequilibrium. Statistical analysis of the three populations that contained QQ animals revealed significant (p < 0.05) associations with genotype and birth weight, live weight, carcass weight, hip height, and average daily gain. These findings affirm the link between this locus and growth in beef cattle and describe DNA variants that define the haplotype. However, further studies will be required to define the true causative mutation.

Variance component estimates for growth traits in beef cattle using selected variants from imputed low-pass sequence data.

A beef cattle population (n = 2,343) was used to assess the impact of variants identified from the imputed low-pass sequence (LPS) on the estimation of variance components and genetic parameters of birth weight (BWT) and post-weaning gain (PWG). Variants were selected based on functional impact and were partitioned into four groups (low, modifier, moderate, high) based on predicted functional impact and re-partitioned based on the consequence of mutation, such as missense and untranslated region variants, into six groups (G1-G6). Each subset was used to construct a genomic relationship matrix (GRM) for univariate animal models. Multiple analyses were conducted to compare the proportion of additive genetic variation explained by the different subsets individually and collectively, and these estimates were benchmarked against all LPS variants in a single GRM and array (e.g., GeneSeek Genomic Profiler 100K) genotypes. When all variants were included in a single GRM, heritability estimates for BWT and PWG were 0.43 ± 0.05 and 0.38 ± 0.05, respectively. Heritability estimates for BWT ranged from 0.10 to 0.42 dependent on which variant subsets were included. Similarly, estimates for PWG ranged from 0.05 to 0.38. Results showed that variants in the subsets modifier and G1 (untranslated region) yielded the highest heritability estimates and were similar to the inclusion of all variants, while estimates from GRM containing only variants in the categories High, G4 (non-coding transcript exon), and G6 (start and stop loss/gain) were the lowest. All variants combined provided similar heritability estimates to chip genotypes and provided minimal to no additional information when combined with chip data. This suggests that the chip single nucleotide polymorphisms and the variants from LPS predicted to be less consequential are in relatively high linkage disequilibrium with the underlying causal variants as a whole and sufficiently spread throughout the genome to capture larger proportions of additive genetic variation.

The relationship between MFN1 copy number variation and growth traits of beef cattle.

Copy number variation, as a kind of genetic submicroscopic structural variation, refers to the deletion or repetition of a large segment of genomic DNA, involving a segment size ranging from 50bp to several MB. Mitochondrial fusion protein (MFN1) gene regulates the fusion of mitochondrial outer membrane in cells and maintains the dynamic needs of reticular mitochondria in cells. In this study, we conducted to tested the dstribution characteristics of MFN1-CNV in 522 cattles across Xianan cattle (XN), Pinan cattle (PN), Qinchuan cattle (QC), Jiaxian cattle (JX), Yunling cattle (YL), and correlated it with phenotypic traits. Then we observed the expression of MFN1 in various tissues of QC cattle (n=3), and the expression levels were higher in lung and muscle. The results showed that there was significant correlation between MFN1 gene CNV and hucklebone width of QC cattle, hip width and height at sacrum of JX red cattle, chest width and rump length of YL cattle (P<0.05). Individuals with duplication type were better than the type of normal or deletion in phenotypic traits. In conclusion, our data showed the correlation between MFN1 gene and growth traits of Chinese cattle. MFN1 gene can be used as a molecular marker for cattle selection and breeding, and accelerate the improvement of Chinese cattle.

Associations between maternal milk protein genotypes with preweaning calf growth traits in beef cattle.

The objectives of this study were to investigate milk casein polymorphisms in dams and to determine the impacts of maternal casein genotypes on growth traits of their sucking calves. Milk samples from 433 dams of the breeds German Angus (GA) and German Simmental (GS) were typed at the milk protein loci α s1-casein (αs1-CN), β-casein (β-CN), α s2-casein (αs2-CN), and κ-casein (κ-CN) via isoelectric focusing. Associations between casein genotypes in maternal milk with growth traits of their 1,872 calves were analyzed until the age of weaning using linear mixed models, considering either genotypes of individual casein loci (model 1) or composite α s1-β-α s2-κ-CN genotypes within the casein cluster (model 2). Besides environmental effects such as sex, age of the dam, and calving year-season, genetic effects (breed group and maternal and paternal effects) were considered in statistical models. The composite casein genotype BBǀA2A2ǀAAǀAB (order of genes on bovine chromosome 6: α s1-ǀβ-ǀα s2-ǀκ-CN) was associated with greater average daily weight gains (ADG) and heavier age-adjusted weaning weights (WW) of calves (P < 0.05). The effects of composite genotypes on birth weight of calves were similar (P > 0.05; model 2). With regard to individual casein loci, greater ADG and WW were observed for calves from dams with the genotypes κ-CN BB and α s1-CN BB, respectively (P < 0.05; model 1). Age-adjusted WW was largest for calves from dams carrying the κ-CN genotype BB (215 kg) compared with calves representing the maternal AB and AA genotypes (both 204 kg). Results from the present study suggested selectable casein genotypes due to their nutritional value of milk (value in terms of offspring performances), offering new perspectives for breeding strategies in beef cattle to improve preweaning calf performance.

Growth of beef cattle as prediction for meat production: A review

Growth of beef cattle as prediction for meat production: A review

Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle.

Improving the genetic process of growth traits is one of the major goals in the beef cattle industry, as it can increase meat production and reduce the cost of raising animals. Although several quantitative trait loci affecting growth traits in beef cattle have been identified, the genetic architecture of these economically important traits remains elusive. This study aims to map single nucleotide polymorphisms (SNPs) and genes associated with birth weight (BW), yearling weight (YW), average daily gain from birth to yearling (BYADG), and body weight at the age of 18 months (18MW) in a Chinese Simmental beef cattle population using a weighted, single-step, genome-wide association study (wssGWAS). Phenotypic and pedigree data from 6022 animals and genotypes from 744 animals (596,297 SNPs) were used for an association analysis. The results showed that 66 genomic windows explained 1.01–20.15% of the genetic variance for the four examined traits, together with the genes near the top SNP within each window. Furthermore, the identified genomic windows (>1%) explained 50.56%, 57.71%, 61.78%, and 37.82% of the genetic variances for BW, YW, BYADG, and 18MW, respectively. Genes with potential functions in muscle development and regulation of cell growth were highlighted as candidates for growth traits in Simmental cattle (SQOR and TBCB for BW, MYH10 for YW, RLF for BYADG, and ARHGAP31 for 18MW). Moreover, we found 40 SNPs that had not previously been identified as being associated with growth traits in cattle. These findings will further advance our understanding of the genetic basis for growth traits and will be useful for the molecular breeding of BW, YW, BYADG, and 18MW in the context of genomic selection in beef cattle.

Determination of genetic effects of SERPINA3 on important growth traits in beef cattle

Serine protease inhibitor protein 3 (serpin peptidase inhibitor, clade A, member 3, SERPINA3) is a member of the serpin superfamily, probably related to the yield and quality of muscle. This study focuses on the relationship between SERPINA3 gene polymorphism and growth traits in beef cattle. The study first uses sequencing pooled DNA samples (Pool-Seq), PCR-RFLP and Tetra-primer ARMS-PCR techniques to determine the genetic polymorphisms of SERPINA3 in 765 beef cattle. Then, the polymorphic loci were correlated with the growth characters of cattle. Five SNPs (SNP1:A-648G, SNP2:T6496A, SNP3:G2495A, SNP4:T2595A, SNP5:A2615G) were found, located in the promoter, introns 5 and SNP 3, 4, 5 were in exons 2, respectively. The observed He was from 0.44 to 0.5, Ne were approaching 2 (1.78 to 2.00). The maximum and minimum PIC (polymorphism information content) values were 0.37 and 0.34, respectively. The association analysis results showed that the SNPs had a significant height in the chest girth and body length. (p < 0.05 or p < 0.01). This will provide important information for the rapid breeding of Chinese yellow cattle and the establishment of a molecular genetic marker database.

Exploring genotype–phenotype relationships of the CRABP2 gene on growth traits in beef cattle

Cellular retinoic acid binding protein 2 (CRABP2) is essential to myoblast differentiation. However, there was no report about the function of CRABP2 gene in cattle. This study explored the association of CRABP2 gene polymorphisms with growth traits in cattle breeds by several methods, such as DNA sequencing, PCR, PCR–RFLP and forced PCR–RFLP. Two sequence variants were determined. There were 621 individuals in six cattle breeds from China for the experiment, and three breeds were used to test validation of polymorphisms and extent of linkage disequilibrium (LD). The results showed that both SNPs (SNP1, g.2458 G > T, SNP2, g.3878 G > A) were in intron1. Two SNPs were in low linkage disequilibrium. Association analysis suggested that SNP1 had the significant difference on growth traits with body height, height at hip cross and body slanting length (P < .05), while SNP2 showed a significant difference in growth traits with body height, height at hip cross and body slanting length(P < .05). The results of this investigation displayed that the CRABP2 gene is an available candidate gene and may be used for breed selection and conservation.

PSXVII-5 Genomic evaluation of genotype by prenatal nutritional environment interaction for growth traits in beef cattle.

PSXVII-5 Genomic evaluation of genotype by prenatal nutritional environment interaction for growth traits in beef cattle.

Novel copy number variation of the KLF3 gene is associated with growth traits in beef cattle

Copy number variation (CNV) related to complex traits, such as disease and quantitative phenotype, is considered an important and wealthy source of genetic and phenotypic diversity. It suggests that the copy number variation of function gene maybe leads to the phenotypic changes. Kupple like factor 3 (KLF3) gene is a vital transcription factor associated with the growth and development of muscle and adipose tissue. It has been mapped in a CNV region by animal genome re-sequencing. In this study, we detected the distribution diversity of KLF3 gene copy numbers in six Chinese cattle breeds (QC, NY, XN, PN, QDM and JX) and associated the phenotypic traits with it. Then, we analyzed the KLF3 gene transcription expression level in different tissues of Jiaxian (JX) cattle. Furthermore, we detected mRNA expression level of muscle and fat tissues of Jiaxian cattle (JX), Angus × Jiaxian (AJ). The results showed that the copy number in CNV loss was more frequent in QC than others. And we revealed a positive effect of KLF3 CNV on growth traits, such as body mass and heart girth (P < 0.05). In a word, we ascertained the significance between CNVs of KLF3 gene and growth traits in different cattle breeds, and our data indicates that the CNVs of KLF3 gene may as a marker for the future molecular breeding of Chinese beef cattle.

36 Incorporation of Putative Functional Variants in the Ncapg, ARRDC3, PLAG1 and ERGIC1 Genes Improves Accuracies of Genomic Predictions for Growth Traits in Beef Cattle.

In beef cattle, body weight is an important trait and optimizing size at various ages is of key economic interest. In our previous study, we identified four large-effect pleiotropic QTLs located on BTA6, 7, 14 and 20 associated with body weights in several beef breeds. Some 96 new functional variants of candidate genes within these and some other QTL regions were selected from the dbSNP and assayed into the new versions of GeneSeek Genomic Profilers (GGP-LD, GGP-UHD and GGP-50K). Some 5,964 Simmental and 2,871 Red Angus animals were genotyped with one of these assays. Some 200 animals of each population were used as the test and the rest for training purposes. Only 9,439 autosomal markers in common between these assays were used in the analyses. We compared accuracies of genomic predictions for birth, weaning and yearling weights fitting 9K, 9K plus 96 functional variants or only 96 functional variants in BayesC0 model using GenSel software. The correlations between estimated molecular breeding values (MBV) and adjusted phenotypes divided by the square root of the trait heritability were used as a measurement of accuracy, which are shown in Table 1. The accuracies of MBV were equal or higher in the model including additional 96 functional variants. Interestingly, genomic predictions were more accurate for yearling weight using only 96 functional variants in both Simmental and Red Angus populations. These functional variants accounted for significant amount of additive genetic variances of body weights in these populations. Some functional variants including rs109570900 encoding p.Ile442Met in NCAPG, rs109901274 encoding p.Tyr182Cys in ARRDC3, rs136369910 encoding g.25019900A>G in PLAG1 and rs43350563 encoding c.322G>A in ERGIC1 were among significantly associated markers with remarkable impact on body weights. Knowledge of such functional variants improves the accuracies of genomic predictions and would create new opportunities for the selection of animals with appropriate body weights for harvest or maternal purposes and could decrease dystocia in beef cattle population. Table 1. The accuracies of genomic predictions for birth, weaning and yearling weights using different marker sets Table 1. The accuracies of genomic predictions for birth, weaning and yearling weights using different marker sets

Weighting genomic and genealogical information for genetic parameter estimation and breeding value prediction in tropical beef cattle.

A combined matrix that exploits genealogy together with marker-based information could improve the selection of elite individuals in breeding programs. We present genetic parameters for adaptive and growth traits in beef cattle by exploring linear combinations of pedigree-based (A) and marker-based (G) relationship matrices. We use a data set with 2,111 Brahman (BB) and 2,550 Tropical Composite (TC) cattle with genotypes for 729,068 SNP, and phenotypes for five traits. A weighted relationship matrix (WRM) combining G and A was constructed as WRM = λG + (1 - λ)A. The weight (λ) was explored at values from 0.0 to 1.0, at 0.1 intervals. Additionally, four alternative G matrices, in the WRM, were evaluated according to the selection of SNP used to generate them: 1) Gw: all autosomal SNP with minor allele frequency (MAF) > 1%; 2) Gg: autosomal SNP with MAF > 1% and mapped inside to gene coding regions; 3) Gp: autosomal SNP with MAF > 1% and previously reported to have significant pleiotropic effect in these two populations; and 4) Gc: autosomal SNP with MAF > 1% and with significant correlated effects previously reported in both BB and TC populations. In addition, two A matrices were evaluated: 1) A: all relationships between animals were considered after tracing back known ancestors; and 2) Ad: a distorted A matrix where a random 1% of the off-diagonal nonzero values were set to zero to simulate relationship errors. Five independent Ad matrices were explored each with a different random 1% of relationships masked. Criteria for comparing the resulting WRM included estimates of heritability (h2) and cross-validation accuracy (ACC) of genomic estimated breeding values. The choice of WRM had a greater impact on h2 than on ACC estimates. The 1% errors introduced in pedigree relationships generated large distortion in genetic parameters and ACC estimates. However, employing a λ > 0.7 was an efficient mechanism to compensate for the errors in A. Additionally, although significant (P-value < 0.0001), we found no consistent relationship between the type of SNP used to compute G and h2 or ACC estimates. We devised the optimal value of λ for maximum h2 and ACC at λ = 0.7 suggesting a 70% and 30% weighting to genomic and genealogical information, respectively, as an optimal strategy to compensate for pedigree errors, to improve genetic parameters estimates and lead to more accurate selection decisions.

Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes.

An objective of commercial beef cattle crossbreeding programs is to simultaneously optimize use of additive (breed differences) and non-additive (heterosis) effects. A total of 6,794 multibreed and crossbred beef cattle with phenotype and Illumina BovineSNP50 genotype data were used to predict genomic heterosis for growth and carcass traits by applying two methods assumed to be linearly proportional to heterosis. The methods were as follows: 1) retained heterozygosity predicted from genomic breed fractions (HET1) and 2) deviation of adjusted crossbred phenotype from midparent value (HET2). Comparison of methods was based on prediction accuracy from cross-validation. Here, a mutually exclusive random sampling of all crossbred animals (n = 5,327) was performed to form five groups replicated five times with approximately 1,065 animals per group. In each run within a replicate, one group was assigned as a validation set, while the remaining four groups were combined to form the reference set. The phenotype of the animals in the validation set was assumed to be unknown; thus, it resulted in every animal having heterosis values that were predicted without using its own phenotype, allowing their adjusted phenotype to be used for validation. The same approach was used to test the impact of predicted heterosis on accuracy of genomic breeding values (GBV). The results showed positive heterotic effects for growth traits but not for carcass traits that reflect the importance of heterosis for growth traits in beef cattle. Heterosis predicted by HET1 method resulted in less variable estimates that were mostly within the range of estimates generated by HET2. Prediction accuracy was greater for HET2 (0.37-0.98) than HET1 (0.34-0.43). Proper consideration of heterosis in genomic evaluation models has debatable effects on accuracy of EBV predictions. However, opportunity exists for predicting heterosis, improving accuracy of genomic selection, and consequently optimizing crossbreeding programs in beef cattle.

Effects of genetic variants of the bovine WNT8A gene on nine important growth traits in beef cattle.

WNT-β-catenin-TCF pathway is involved in carcinogenesis and foetal development. As a member of the WNT gene family, Wnt8A encodes secreted signalling proteins and responds to many biological processes.However, similar research on the effects of genetic variations of Wnt8A gene on growth traits is lacking. Therefore, in this study, polymorphisms of Wnt8A were detected in 396 animals from Chinese Qinchuan cattle using DNA pool sequencing and PCR-RFLP methods. Four novel single-nucleotide polymorphisms (SNPs) of Wnt8A gene were identified, including three mutations in introns (g.T-445C, g.G244C and g.G910A) and one in exon (g.T4922C). Additionally, we examined the associations of four SNPs with growth traits. The results revealed that SNP2 (g.G244C) was significantly associated with shoulder height, hip height, body length, hip width, and body weight (P < 0.05). SNP3 (g.G910A) also displayed notable effects on hip width (P < 0.05). Meanwhile, the haplotype combination CC-GC-GA-CC was strongly associated with heavier, taller and longer animals (P < 0.05). These results show that the Wnt8A gene may be a potential candidate gene, and the SNPs could be used as molecular markers in early marker-assisted selection in beef cattle breeding programmes.

Bayesian analyses of genetic parameters for growth traits in Nellore cattle raised on pasture.

This study was carried out to investigate (co)variance components and genetic parameters for growth traits in beef cattle using a multi-trait model by Bayesian methods. Genetic and residual (co)variances and parameters were estimated for weights at standard ages of 120 (W120), 210 (W210), 365 (W365), and 450 days (W450), and for pre- and post-weaning daily weight gain (preWWG and postWWG) in Nellore cattle. Data were collected over 16 years (1993-2009), and all animals were raised on pasture in eight farms in the North of Brazil that participate in the National Association of Breeders and Researchers. Analyses were run by the Bayesian approach using Gibbs sampler. Additive direct heritabilities for W120, W210, W365, and W450 and for preWWG and postWWG were 0.28 ± 0.013, 0.32 ± 0.002, 0.31 ± 0.002, 0.50 ± 0.026, 0.61 ± 0.047, and 0.79 ± 0.055, respectively. The estimates of maternal heritability were 0.32 ± 0.012, 0.29 ± 0.004, 0.30 ± 0.005, 0.25 ± 0.015, 0.23 ± 0.017, and 0.22 ± 0.016, respectively, for W120, W210, W365, and W450 and for preWWG and postWWG. The estimates of genetic direct additive correlation among all traits were positive and ranged from 0.25 ± 0.03 (preWWG and postWWG) to 0.99 ± 0.00 (W210 and preWWG). The moderate to high estimates of heritability and genetic correlation for weights and daily weight gains at different ages is suggestive of genetic improvement in these traits by selection at an appropriate age. Maternal genetic effects seemed to be significant across the traits. When the focus is on direct and maternal effects, W210 seems to be a good criterium for the selection of Nellore cattle considering the importance of this breed as a major breed of beef cattle not only in Northern Brazil but all regions covered by tropical pastures. As in this study the genetic correlations among all traits were high, the selection based on weaning weight might be a good choice because at this age there are two important effects (maternal and direct genetic effects). In contrast, W120 should be preferred when the objective is improving the maternal ability of the dams. Furthermore, selection for postWWG can be used if the animals show both heavier weaning weights and high growth rate after weaning because it is possible to shorten the time between weaning and slaughter based on weaning weight, postWWG, and desired weight at the time of slaughter.

Genetic models for breed quality and navel development scores and its associations with growth traits in beef cattle.

Estimation and prediction ability of linear and threshold models for yearling breed quality score (BQ) and navel development score at weaning (WN) and yearling (YN), considering variances, heritabilities, and rank correlations based on the breeding values predicted for bulls, were compared. Furthermore, it was determined whether BQ, WN, and YN are genetically associated with growth traits (BWG: birth to weaning weight gain, WH: weaning height, WYG: weaning to yearling weight gain, YH: yearling height) to field data of Nelore cattle. For BQ, similar heritabilities were estimated using linear (0.14 ± 0.01) and threshold (0.15 ± 0.02) models. For navel development scores, higher heritability was estimated with threshold (WN 0.22 ± 0.03; YN 0.42 ± 0.03) rather than linear (WN 0.16 ± 0.01; YN 0.29 ± 0.01) models. Rank correlations between sires breeding values predicted for visual scores with linear and threshold models ranging from 0.53 to 0.98, indicating that different sires would be selected using these models, mainly for higher selection intensities. The BQ showed little genetic variability and was not associated with WH and YH. However, low and positive genetic correlations were obtained between BQ with BWG (0.27 ± 0.02) and WYG (0.25 ± 0.02). In general, they are expected low genetic gains for BQ as correlated response to selection based on any of the growth traits studied. The WN showed higher genetic correlation with BWG (0.63 ± 0.02) and WH (0.53 ± 0.02) rather than WYG (-0.06 ± 0.02) and YH (0.26 ± 0.02), indicating that selection for increased growth at weaning (height and weight gain) should lead to longer and most pendulous navels at this age. Weak genetic correlations were obtained between yearling navel andgrowth traits.

Association of genetic variations in the ACLY gene with growth traits in Chinese beef cattle.

ATP citrate lyase (ACLY) is the primary enzyme responsible for the synthesis of cytosolic acetyl-CoA, which is a key precursor of both fatty acid and mevalonate synthesis pathways. Genetic variation of the ACLY gene may influence multiple traits associated with animal production. Here, we identified three non-synonymous mutations in ACLY exons in five beef cattle populations using DNA pool sequencing and high-resolution melting analysis. Results from association analyses revealed that the single nucleotide polymorphism (SNP) g.17127C>T is significantly associated with chest girth (P < 0.01) and body height (P < 0.05) in the Fleckvieh x Zhangye local crossbred cattle, and with body slanting length (P < 0.05) in the Simmental x Guyuan local crossbred cattle. SNP g.40427T>C is significantly associated with an increase in chest girth (P < 0.05) in the Simmental x Huzhu cattle population. These results provide preliminary evidence that polymorphisms in the bovine ACLY gene are associated with growth traits in beef cattle in northwest China. However, a larger sample set is needed to validate these findings.

Non-synonymous mutations mapped to chromosome X associated with andrological and growth traits in beef cattle.

BackgroundPrevious genome-wide association analyses identified QTL regions in the X chromosome for percentage of normal sperm and scrotal circumference in Brahman and Tropical Composite cattle. These traits are important to be studied because they are indicators of male fertility and are correlated with female sexual precocity and reproductive longevity. The aim was to investigate candidate genes in these regions and to identify putative causative mutations that influence these traits. In addition, we tested the identified mutations for female fertility and growth traits.ResultsUsing a combination of bioinformatics and molecular assay technology, twelve non-synonymous SNPs in eleven genes were genotyped in a cattle population. Three and nine SNPs explained more than 1% of the additive genetic variance for percentage of normal sperm and scrotal circumference, respectively. The SNPs that had a major influence in percentage of normal sperm were mapped to LOC100138021 and TAF7L genes; and in TEX11 and AR genes for scrotal circumference. One SNP in TEX11 was explained ~13% of the additive genetic variance for scrotal circumference at 12 months. The tested SNP were also associated with weight measurements, but not with female fertility traits.ConclusionsThe strong association of SNPs located in X chromosome genes with male fertility traits validates the QTL. The implicated genes became good candidates to be used for genetic evaluation, without detrimentally influencing female fertility traits.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-1595-0) contains supplementary material, which is available to authorized users.

Exploring genotype–phenotype relationships of the LHX3 gene on growth traits in beef cattle

The LIM-homeobox gene 3 (LHX3) plays an essential role in pituitary gland and nervous system development. Sequence variants (SVs) in coding and non-coding regions of LHX3 gene have an impact on LHX3 transcription and growth traits in cattle. Previously, we have identified 3 single nucleotide polymorphisms (SNPs: 1–3) in all exons and intron 2 regions of the LHX3 gene in cattle. Here, 7 novel SNPs (SNPs: 4-10) were identified by DNA sequencing and polymerase chain reaction single-stranded conformational polymorphism (PCR-SSCP) methods. In the present study, a total of 10 SNPs were assessed linkage disequilibrium (LD) in 802 cows representing four main cattle breeds from China (Nanyang, Qinchuan, Jiaxian, and Chinese Holstein). The assessment results demonstrated that 17 haplotypes and 18 diplotypes were revealed in these cattle populations. Moreover, association analysis indicated that the genotypes of SNPs 1–6 are associated with the body weight at 6, 12 and 18months of age in Nanyang cattle (P<0.01 or P<0.05), whereas no significant association was found between the 18 diplotypes and growth traits. Our results provide evidence that some SNPs in LHX3 gene may be associated with body weight at certain age, and LHX3 gene may be used as candidate gene for marker-assisted selection (MAS) in beef cattle breeding.