Body Slanting Length Research Articles

Machine Vision Analysis of Ujumqin Sheep's Walking Posture and Body Size.

The ability to recognize the body sizes of sheep is significantly influenced by posture, especially without artificial fixation, leading to more noticeable changes. This study presents a recognition model using the Mask R-CNN convolutional neural network to identify the sides and backs of sheep. The proposed approach includes an algorithm for extracting key frames through mask calculation and specific algorithms for head-down, head-up, and jumping postures of Ujumqin sheep. The study reported an accuracy of 94.70% in posture classification. We measured the body size parameters of Ujumqin sheep of different sexes and in different walking states, including observations of head-down and head-up. The errors for the head-down position of rams, in terms of body slanting length, withers height, hip height, and chest depth, were recorded as 0.08 ± 0.06, 0.09 ± 0.07, 0.07 ± 0.05, and 0.12 ± 0.09, respectively. For rams in the head-up position, the corresponding errors were 0.06 ± 0.05, 0.06 ± 0.05, 0.07 ± 0.05, and 0.13 ± 0.07, respectively. The errors for the head-down position of ewes, in terms of body slanting length, withers height, hip height, and chest depth, were recorded as 0.06 ± 0.05, 0.09 ± 0.08, 0.07 ± 0.06, and 0.13 ± 0.10, respectively. For ewes in the head-up position, the corresponding errors were 0.06 ± 0.05, 0.08 ± 0.06, 0.06 ± 0.04, and 0.16 ± 0.12, respectively. The study observed that sheep walking through a passage exhibited a more curved knee posture compared to normal measurements, often with a lowered head. This research presents a cost-effective data collection scheme for studying multiple postures in animal husbandry.

Estimation of the genetic parameters of sheep growth traits based on machine vision acquisition

In the realm of animal phenotyping, manual measurements are frequently utilised. While machine-generated data show potential for enhancing high-throughput breeding, additional research and validation are imperative before incorporating them into genetic evaluation processes. This research presents a method for managing meat sheep and collecting data, utilising the Sheep Data Recorder system for data input and the Sheep Body Size Collector system for image capture. The study aimed to investigate the genetic parameter changes of growth traits in Ujumqin sheep by comparing machine-generated measurements with manual measurements. The dataset consisted of 552 data points from the offspring of 75 breeding rams and 399 breeding ewes. Six distinct random regression models were assessed to pinpoint the most suitable model for estimating genetic parameters linked to growth traits. These models were distinguished based on the inclusion or exclusion of maternal genetic effects, maternal permanent environmental effects, and covariance between maternal and direct genetic effects. Fixed factors such as individual age, individual sex, and ewe age were taken into account in the analysis. The genetic parameters for the yearling growth traits of Ujumqin sheep were calculated using ASReml software. The Akaike information criterion, the Bayesian information criterion, and fivefold cross-validation were employed to identify the optimal model. Research findings indicate that the most accurate models for manually measured data revealed heritability estimates of 0.12 ± 0.15 for BW, 0.05 ± 0.07 for body slanting length, 0.03 ± 0.07 for withers height, 0.15 ± 0.12 for hip height, 0.11 ± 0.11 for chest depth, 0.13 ± 0.13 for shoulder width, and 0.53 ± 0.15 for chest circumference. The optimal models for machine-predicted data showed heritability estimates of 0.1 ± 0.09 for body slanting length, 0.14 ± 0.12 for withers height, 0.55 ± 0.15 for hip height, 0.34 ± 0.15 for chest depth, 0.26 ± 0.15 for shoulder width, and 0.47 ± 0.16 for chest circumference. In manually measured data, genetic correlations ranged from 0.35 to 0.99, while phenotypic correlations ranged from 0.07 to 0.90. In machine data, genetic correlations ranged from −0.05 to 0.99, while phenotypic correlations ranged from 0.03 to 0.84. The results suggest that machine-based estimations may lead to an overestimation of heritability, but this discrepancy does not impact the selection of breeding models.

Measurement of body size parameters and body weight prediction in beef cattle based on image analysis

The body size parameter of cattle is an important index reflecting the growth and development and health condition of cattle. The traditional manual contact measurement is not only a large workload and difficult to measure, but also prone to problems such as affecting the normal life habits of cattle. In this paper, we address this problem by proposing a contactless body size measurement method for cattle based on machine vision. Firstly, the cattle is confined to a fixed space using a position-limiting device, and images of the body of the cattle are taken from three directions: top, left, and right, using multiple cameras. Secondly, the image is segmented using a fuzzy clustering algorithm based on neighborhood adaptive local spatial information improvement, and the image is processed to extract the contour images of the top view and side view. The key points of body measurements were extracted using interval division and curvature calculation for the side view images, and the key point information was extracted using skeleton extraction and pruning for the top view images, which realized the measurements of body height(BH), rump height(RH), body slanting length(BSL), and abdominal circumference(AC) parameters of the cattle. The correlation between body size and weight data obtained by contactless methods was investigated and the modeled using one-factor linear regression, one-factor nonlinear regression, multivariate stepwise regression, RBF network fitting, BP neural network fitting, support vector machine, and particle swarm optimization-based support vector machine methods, respectively. Information on body size parameters was collected from 137 cattles, and the results showed that the maximum errors between the measured and actual values of BH, RH, BSL and AC were 5.0%, 4.4%, 3.6%, and 5.5%, respectively. Correlation of BH, RH, BSL and AC with weight obtained by non-contact methods was > 0.75. The BH parameter can be selected in the single-factor growth monitoring. The multi-body scale can reflect the growth status of cattle more comprehensively, in which RH, BSL and AC are important detection parameter; the multi-factor nonlinear model can reflect the growth characteristics of cattle more comprehensively. The contactless measurement method proposed in the paper can effectively improve the work efficiency and reduce the stress reaction of cattle, which is a long-term and effective monitoring method, and is of great significance in promoting accurate and welfare cattle rearing.

The Identification of Goat KCNJ15 Gene Copy Number Variation and Its Association with Growth Traits.

(1) Background: Copy number variation (CNV) is a critical component of genome structural variation and has garnered significant attention. High-throughput screening of the KCNJ15 gene has revealed a correlation between the CNV region and the growth traits of goats. We aimed to identify the CNV of the KCNJ15 gene in five goat breeds and analyze its association with growth characteristics. (2) Methods: We utilized 706 goats from five breeds: Guizhou black goat (GZB), Guizhou white goat (GZW), Bohuai goat (BH), Huai goat (HH), and Taihang goat (TH). To evaluate the number of copies of the KCNJ15 gene using qPCR, we analyzed the correlation between the CNV and growth characteristics and then used a universal linear model. The findings revealed variations in the distribution of different copy number types among the different goat breeds. (3) Results: Association analysis revealed a positive influence of the CNV in the KCNJ15 gene on goat growth. In GZB, individuals with duplication types exhibited superior performance in terms of cannon bone circumference (p < 0.05). In HH, individuals with duplication types exhibited superior performance in terms of body slanting length (p < 0.05). Conversely, normal TH demonstrated better body height and body weight (p < 0.05), while in GZW, when CN = 3, it performed better than other types in terms of body weight and chest circumference (p < 0.05). However, in BH, it had no significant effect on growth traits. (4) Conclusions: We confirmed that the CNV in the KCNJ15 gene significantly influences the growth characteristics of four distinct goat breeds. The correlation between KCNJ15 gene CNVs and goat growth traits offers valuable insights to breeders, enabling them to employ precise and efficient breeding methods that enhance livestock welfare, productivity, and overall economic benefits in the industry.

Identification and genetic analysis of major gene ST3GAL4 related to serum alkaline phosphatase in chicken

Alkaline phosphatase (ALP) is a marker of osteoblast maturation and an important indicator of bone metabolism. The activity of ALP can reflect the bone metabolism and growth traits of animals, so the polymorphism affecting ALP expression deserves further study. In this study, we identified an SNP site in ST3GAL4 found by genome-wide association studies (GWAS) in previous studies, 8 SNPs were also identified by DNA sequencing. Interestingly, there were 4 SNPs (rs475471G > A, rs475533C > T, rs475621A > G, rs475647C > A) completely linked by haplotype analysis. Therefore, we selected a tag SNP rs475471G > A to further analyze the ALP level of different genotypes in Hubbard leg disease population and an F2 chicken resource population produced by Anka and Gushi chickens and carried out population genetic analysis in 18 chicken breeds. Association analysis showed that this QTL within ST3GAL4 was highly correlated with ALP level. The mutant individuals with genotype AA had the highest ALP level, followed by GA and GG carriers. The mutant individual carriers of AA and GA genotype had higher values for body weight (BW), chest width (CW), body slanting length (BSL), pelvis width (PW) at 4-week, the semi-evisceration weight (SEW), evisceration weight (EW) and Leg weight (LW) than GG genotypes. The amplification and typing of 4852 DNA samples from 18 different breeds showed GG genotype mainly existed in egg-type chickens and dual-type chickens, while the AA genotype was mainly distributed in commercial broilers and F2 resource population. The individual carriers of the AA genotype had the highest ALP and showed better growth performance. Besides, tissue expression analysis used Cobb broiler showed significant differences between different genotypes in the spleen and duodenum. Taken together, this was the first time to determine 9 SNPs within ST3GAL4 related to ALP in chickens, 4 of them were complete linkage with each other, which provides useful information on the mutation of ST3GAL4 and could predict the serum ALP level of chicken early and as an effective potential molecular breeding marker for chickens.

Identification of body size characteristic points based on the Mask R-CNN and correlation with body weight in Ujumqin sheep.

The measurements of body size data not only reflect the physical fitness, carcass structure, excellent growth condition, and developmental relationship among tissues and organs of animals but are also critical indicators to measure the growth and development of sheep. Computer vision-based body size identification is a non-contact and stress-free method. In this study, we analyzed different body size traits (height at wither, body slanting length, chest depth, chest circumference, shank circumference, hip height, shoulder width, and rump width) and the body weight of 332 Ujumqin sheep and significant correlations (P < 0.05) were obtained among all traits in Ujumqin sheep. Except for shoulder width, rump width, and shank circumference, all were positively correlated, and the effect of sex on Ujumqin sheep was highly significant. The main body size indexes affecting the body weight of rams and ewes were obtained through stepwise regression analysis of body size on body weight, in order of chest circumference, body slanting length, rump width, hip height, height at wither, and shoulder width for rams and body slanting length, chest circumference, rump width, hip height, height at wither and shoulder width for ewes. The body slanting length, chest circumference, and hip height of ewes were used to construct prediction equations for the body weight of Ujumqin sheep of different sexes. The model's prediction accuracy was 83.9% for the rams and 79.4% for ewes. Combined with a Mask R-CNN and machine vision methods, recognition models of important body size parameters of Ujumqin sheep were constructed. The prediction errors of body slanting length, height at wither, hip height, and chest circumference were ~5%, chest depth error was 9.63%, and shoulder width, rump width, and shank circumference errors were 14.95, 12.05, and 19.71%, respectively. The results show that the proposed method is effective and has great potential in precision management.

Stepwise Method and Factor Scoring in Multiple Regression Analysis of Cashmere Production in Liaoning Cashmere Goats.

Simple SummaryLiaoning cashmere goat is a world-famous cashmere goat breed known for its stable genetic performance and high cashmere yield. This study investigated the relationship between certain body measurements, body weight, and cashmere yield in Liaoning cashmere goats using stepwise and factor score analyses in a multiple regression analysis. These results provide a standardized regression equation and reliable information on multiple trait considerations that should be taken to improve cashmere yield. To clarify the relationship and influence among the body circumference, body weight, and cashmere yield of Liaoning cashmere goat, aiming to provide the basis for the breed selection and germplasm identification of Liaoning cashmere goat.Liaoning cashmere goat is a well-known local cashmere goat breed in China and even in the world. It is famous for producing cashmere with superior quality and high yield. Cashmere yield, body measurements, and body weight are the primary indicators of cashmere goat breeding, but the correlation between them is not yet clear. Therefore, this study investigated the relationship between certain body measurements, body weight, and cashmere yield in Liaoning cashmere goats using stepwise and factor score analyses in a multiple regression analysis. For this purpose, the body measurements (body slanting length (BSL), body height (BH), chest circumference (CC), pipe circumference (PC), chest depth (CD), chest width (CW), hip breadth (HB), body weight (BW) and cashmere yield (CY)) of 200 (2-year-old) Liaoning cashmere goats were collected. Stepwise analysis of the results showed that body weight had the greatest direct effect on cashmere yield, followed by hip breadth, while chest circumference mainly affected cashmere yield indirectly. The results of factor score analysis showed that the independent variable can be represented by two factors, which explained 49.596% and 12.095% of the total variance, respectively. The factor scores used in the regression analysis explained 75.8% of the total variance in Liaoning cashmere yield. The above studies show that the growth traits of Liaoning cashmere goats are closely related to the cashmere yield. Growth traits should be considered important factors in breed selection, germplasm identification, and rearing.

Two Different Copy Number Variations of the CLCN2 Gene in Chinese Cattle and Their Association with Growth Traits.

Simple SummaryCompared with traditional breeding methods, molecular marker breeding can greatly speed up the process of livestock breeding to improve the production performance of economic traits. As one form of genetic variation, copy number variations could be used for molecular marker breeding. This study explored CNVs in bovine CLCN2 genes on account of this gene possibly being involved in cell volume regulation, transepithelial transport and cell proliferation. We investigated their association with growth traits in four Chinese cattle breeds. Our results provide evidence that there are two different copy number variations in CLCN2, which are associated with growth traits in two different Chinese cattle populations and could be used as candidate markers for cattle molecular breeding.Copy number variation (CNV) can affect gene function and even individual phenotypic traits by changing the transcription and translation level of related genes, and it also plays an important role in species evolution. Chloride voltage-gated channel 2 (CLCN2) encodes a voltage-gated chloride channel (CLC-2), which has a wide organ distribution and is ubiquitously expressed. Based on previous studies, we hypothesize that CLCN2 could be a candidate gene involved in cell volume regulation, transepithelial transport and cell proliferation. This study aimed to explore CNVs in the CLCN2 gene and investigate its association with growth traits in four Chinese cattle breeds (Yunling cattle, Xianan cattle, Qinchuan cattle and Pinan cattle). We identified there are two copy number variation regions (CNV1: 3600 bp, including exon 2–11; CNV2: 4800 bp, including exon 21–22) of the CLCN2 gene. The statistical analysis showed that the CNV1 mutation in the YL cattle population was significantly associated with cannon circumference (p < 0.01). The CNV2 mutation in the XN cattle population had a significant effect on body slanting length, chest girth and body weight (p < 0.05). In the YL cattle, the association analysis of CLCN2 gene CNV1 and CNV2 combination with cannon circumference was significant (p < 0.01). Our results provide evidence that CNV1 and CNV2 in CLCN2 are associated with growth traits in two different cattle populations and could be used as candidate markers for cattle molecular breeding.

A novel 28-bp indel inIGF1Rgene associated with growth traits across four Chinese cattle breeds

AbstractInsulin-like growth factor 1 receptor (IGF1R) is a cell surface receptor, belonging to the tyrosine kinase receptor superfamily.IGF1Rplays a role not only in normal cell development but also in malignant transformation, which has become a candidate therapeutic target for the treatment of human cancer. This study aimed to explore insertions and deletions (indels) inIGF1Rgene and investigate their association with growth traits in four Chinese cattle breeds (Xianan cattle, Jinnan cattle, Qinchuan cattle and Nanyang cattle). The current paper identified a 28-bp indel by polymerase chain reaction withinIGF1Rgene. The analysis showed that there was a significant correlation between the locus and the hucklebone width of Nanyang cattle in four periods, in which it was highly correlated at 6, 12 and 18 months. At the age of 6 months, it was also significantly correlated with body height, body weight and body length. Association analysis showed that the locus in Jinnan cattle was extremely significantly correlated with body slanting length and body weight, and significantly correlated with chest circumference. There was no significant correlation between this locus and growth traits of Xianan cattle and Qinchuan cattle. The detected indel in theIGF1Rgene was significantly associated with growth traits in Jinnan and Nanyang cattle, and could be used as a molecular marker for growth trait selection.

Genome-wide association study and inbreeding depression on body size traits in Qira black sheep (Ovis aries).

Qira black sheep is a famous indigenous sheep breed in China. The objectives of this study are to identify candidate genes related to body size, and to estimate the level of inbreeding depression on body size based on runs of homozygosity in Qira black sheep. Here, 188 adult Qira black sheep were genotyped with a high density (630K) SNP chip and genome-wide association study for body weight and body size traits (including withers height, body slanting length, tail length, chest girth, chest width, and chest depth) were performed using an additive linear model. In consequence, 12 genome- and chromosome-wide significant SNPs and, accordingly, six candidate genes involved in muscle differentiation, metabolism and cell processes were identified. Of them, ZNF704 (zinc finger protein 704) was identified for body weight; AK2 (adenylate kinase 2) and PARK2 (parkin RBR E3 ubiquitin protein ligase) for tail length; MOCOS (molybdenum cofactor sulfurase) and ELP2 (elongator acetyltransferase complex subunit 2) for chest width; and MFAP1 (microfibril associated protein 1) for chest girth. Additionally, inbreeding depressions on body size were observed in the current herd. These results will provide insightful understandings into the genetic mechanisms of adult body size, and into the conservation and utilization of Qira black sheep.

Estrogen enhances the expression of a growth-associated long noncoding RNA in chicken liver via ERα

ABSTRACT 1. The long noncoding RNA lncGLM is significantly differentially expressed in the livers of peak-laying hens compared with that in the livers of pre-laying hens, but its potential biological role and expression regulation are unclear. 2. To explore the potential biological function of lncGLM, single nucleotide polymorphism (SNP) detection and association analysis were carried out in the Gushi×Anka F2 resource population. 3. The tissues and spatiotemporal expression characteristics of lncGLM were analysed by real-time quantitative PCR. The effects of 17β-oestradiol on the expression of lncGLM expression were analysed through in vitro and in vivo experiments. 4. The results showed that a g.19069338 T > C SNP was present in lncGLM. Association analysis revealed that lncGLM was significantly associated with body slanting length at 12 weeks, body weight at 12 weeks, shank length at four weeks, chest depth at eight weeks, pelvic width at 12 weeks, eviscerated weight, head weight, pancreas weight, pectoralis weight, leg muscle weight, muscular stomach weight rate, pancreas weight rate, carcase weight, aspartate aminotransferase, creatinine and pectoral muscle water loss rate. 5. The expression of lncGLM in the liver was higher than that in other sampled tissues. In addition, the expression of lncGLM in the liver was significantly higher in the peak-laying period than at the pre-laying period. Both in vitro and in vivo experiments showed that lncGLM expression was regulated by 17β-oestradiol via oestrogen receptor alpha (ER-α). These results demonstrated that the chicken lncGLM gene is highly expressed in liver tissue and regulated by oestrogen through ER-α.

Longissimus Dorsi Muscle Transcriptomic Analysis of Simmental and Chinese Native Cattle Differing in Meat Quality.

With the rapid development of economy, the demand for beef, with regard to quantity and quality, by consumers has been increasing in China. Chinese native cattle are characterized by their abundant genetic resources, unique origins, large breeding stocks, and robust environmental adaptability. Thus, to explore the genetic mechanisms on regulating meat quality in Chinese native cattle is of great importance to satisfy increased requirements for beef production. In this study, we investigated three breeds of cattle, namely Yunling, Wenshan, and Simmental, at the age of 12 months. Animals were classified into three groups (n = 5/breed). Growth traits including body weight and body size and plasma hormone levels were measured. Body weight of Wenshan cattle was significantly lower than that of Yunling and Simmental cattle (P < 0.05). Again, body size indexes, such as withers height, body slanting length, chest circumference, and hip and rump length, were significantly lower in Wenshan cattle than those in Yunling and Simmental cattle (P < 0.05). However, there were no significant differences in those indexes between Yunling and Simmental cattle (P > 0.05). Cattle were slaughtered at the age of 18 months and then meat color, pH, pressing losses, muscle tenderness, and cooking losses were measured at 0, 1, 2, 3, 5, and 7 days. Data revealed differences in meat quality among the three breeds analyzed. Based on transcriptomic sequencing and bioinformatic analysis, we observed 3,198 differentially expressed genes related to meat quality, of which 1,750 genes were upregulated. Moreover, we found two important signaling pathways closely linked to meat quality, namely adipocytokine signaling pathway [e.g., Leptin receptor (LEPR)] and protein processing in the endoplasmic reticulum [e.g., signal transducer and activator of transcription 3 (STAT3), heat shock protein (HSPA12A), and calpain 1 (CAPN1)]. The results of transcripts were further verified by qRT-PCR. Using correlation analysis between gene expression levels and shear force, we also identified two functional genes (e.g., HSPA12A and CAPN1) associated with meat quality. Overall, this study provides new sights into novel targets and underlying mechanisms to modulate meat quality in Chinese native cattle.

Detection of InDel and CNV of SPAG17 gene and their associations with bovine growth traits

Sperm-associated antigen 17 (SPAG17) gene encodes a central pair protein, which is involved in flagellar motility, male fertility and skeletal growth in ruminants. The insertions/deletions (indels) and copy number variations (CNVs) influence phenotypic traits by altering the sequences and copy numbers of functional genes, respectively. This study identified a novel 8-bp indel of SPAG17 gene in 1520 individuals from eight different cattle breeds, as well as a novel CNV region in 355 animals. The correlation analysis of indel showed that the individuals of ID genotype had superior performance traits such as body height (p = 0.038) and body slanting length (p = 0.041) as compared to other genotypes in Xianan cattle. For the CNV, different copy numbers were closely related to the body height in Qinchuan (p = 0.045) and body weight in Xianan (p = 0.036) breeds. Importantly, significant difference was observed between the 8-bp indel and the copy number loss in Xianan breed (p < 0.01). These findings indicated that the variations within the bovine SPAG17 gene can be considered as an effective DNA molecular marker for beef cattle breeding.

Novel copy number variation of the BAG4 gene is associated with growth traits in three Chinese sheep populations

Copy number variation (CNV) as an important source of genetic phenotypic and variation is related to complex phenotypic traits. The aim of this study was to investigate the potential associations of BAG4 (Bcl-2-associated athanogene 4) copy numbers variations with sheep growth traits in three Chinese sheep breeds (CKS, STHS, and HS). BAG4 is located within the stature and udder attachment quantitative trait loci (QTL) in sheep. Expression profiling revealed that the BAG4 gene was widely expressed in the tissues of sheep. The distribution of BAG4 gene copy number showed that the loss of copy number was more dominant in CKS and HS which was different from that in STHS. Statistical analysis revealed that the BAG4 CNV was significantly associated with body height in CKS (p < 0.05), with body slanting length in HS (p < 0.05), and with body height and hip cross height in STHS (p < 0.05). The χ2 values showed significant differences in the BAG4 CNV distribution frequency between varieties. In conclusion, the results establish the association between BAG4 CNV and sheep traits and suggest that BAG4 CNV may be a promising marker for the molecular breeding of Chinese sheep.

Integrative analysis of APOL3 gene CNV for adult cattle stature

Copy number variations (CNVs) have been identified as another important structural variation of genome. In recent years, a large amount of CNVRs have been identified in humans and animals. However, association and dosage effects studies of CNVs are very limited. Apolipoprotein L3 (APOL3) gene plays a central role in modulating gene transcription and is located within a CNVR that encompasses quantitative trait locis (QTLs) for economic traits like meat quality. Herein, we analyzed the CNV polymorphism of APOL3 in 421 individuals from five distinct cattle breeds, and then correlated their genotypes with growth traits. Association analysis revealed that the APOL3 CNV was significantly associated with hip height and cannon circumference of Xianan (XN) cattle (P < .01), and visibly associated with body slanting length and hucklebone width of Pinan (PN) cattle (P < .05). Overall, the data provide evidence for the functional role of APOL3 CNV and a basis for future applications in cattle breeding.

Chicken ZNF764L gene: mRNA expression profile, alternative splicing analysis and association analysis between first exon indel mutation and economic traits

Zinc finger proteins are a class of transcription factors with finger-like domains and have diverse uses in biological processes, including development, differentiation, and metabolism. In this study, we identified the absence of the 24 bp sequence in the third exon of the zinc finger protein 764-like (ZNF764L) gene that lead to the production of two new transcripts, ZNF764L-SV1 and ZNF764L-SV2, and the sum of the expression levels of the two transcripts is approximately equal the total RNA expression level. Temporal and spatial expression showed that ZNF764L had higher expression during the embryonic stage. Moreover, the research study revealed a 22-bp indel mutation in the first exon region of ZNF764L gene. Statistically significant results (P < 0.05) were encountered for this indel for chicken growth and carcass traits, which include birth weight, chest breadth and body slanting length at 4 weeks of age and subcutaneous fat weight and others. Genetic parameter analysis showed that D is the predominant allele in the commercial chicken population. Gene expression for each genotype showed that birds carrying the II allele had a higher expression level than the other genotypes. These findings enrich the understanding of ZNF764L gene function and enhance reproduction in the chicken industry.

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.

Exploration of the exonic variations of the iPSC-related &amp;lt;i&amp;gt;Nanog&amp;lt;/i&amp;gt; gene and their effects on phenotypic traits in cattle

Abstract. Nanog is an important pluripotent transcription regulator transforming somatic cells to induced pluripotent stem cells (iPSCs), and its overexpression leads to a high expression of the growth and differentiation factor 3 (GDF3), which affects animal growth traits. Therefore, the aim of this study was to explore the genetic variations within the Nanog gene and their effects on phenotypic traits in cattle. Six novel exonic single nucleotide polymorphisms (SNPs) were found in six cattle breeds. Seven haplotypes were analyzed: TCAACC (0.260), TCAATA (0.039), TCATCC (0.019), TCGACC (0.506), TCGATA (0.137), TCGTCC (0.036), and CTGATA (0.003). There were strong linkage disequilibriums of SNP1 and SNP2 in Jiaxian cattle as well as of SNP5 and SNP6 in both Jiaxian cattle and Nanyang cattle. Moreover, SNP3, SNP4, and SNP5 were associated with phenotypes. The individuals with GG genotype at the SNP3 locus or AA genotype at the SNP4 locus showed better body slanting length and chest circumference or body height and hucklebone width in Nanyang cattle. The superiority of the SNP5-C allele regarding body height and cannon circumference was observed in Jiaxian cattle. The combination of SNP3 and SNP4 (GG–AA) had positive effects on body height, body slanting length, and chest circumference. These findings may indicate that Nanog, as a regulator of bovine growth traits, could be a candidate gene for marker-assisted selection (MAS) in breeding and genetics in cattle.

Effect of pre-miRNA-1658 gene polymorphism on chicken growth and carcass traits.

ObjectivePolymorphisms occurring in the precursor region of microRNAs (miRNAs) affect the target gene and alter the biogenesis of miRNAs, resulting in phenotypic variation. The purpose of the study was to investigate the genetic effects of rs16681031 (C>G) mutation in the precursor region of gga-miR-1658 on the economic traits of the Gushi-Anka chicken F2 resource population.MethodsTo explore the effect of miR-1658 polymorphisms on chicken economic traits, the SNP was genotyped by MassArray matrix-assisted laser desorption/ionization-time of flight mass spectrometry. The association between the SNP and chicken body size, growth and carcass traits was determined by linear mixed models.ResultsThe SNP was not only significantly associated with body weight at the age of 6, 8, 10, 12 weeks, respectively, but also with the breadth of the chicken chest, body slanting length and pelvic breadth at 4 weeks, chest depth at 8 weeks of age, and body slanting length at 12 weeks (p<0.05), respectively.ConclusionOur data serve as a useful resource for further analysis of miRNA function, and represent a molecular genetic basis for poultry breeding.

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.