scholarly journals Genome-Wide Scanning for Signatures of Selection Revealed the Putative Genomic Regions and Candidate Genes Controlling Milk Composition and Coat Color Traits in Sahiwal Cattle

2021 ◽  
Vol 12 ◽  
Author(s):  
Satish Kumar Illa ◽  
Sabyasachi Mukherjee ◽  
Sapna Nath ◽  
Anupama Mukherjee
Keyword(s):  
Candidate Genes ◽  
Milk Production ◽  
Milk Fat ◽  
Coat Color ◽  
Enrichment Analysis ◽  
Background Information ◽  
Economic Traits ◽  
Sahiwal Cattle ◽  
Signatures Of Selection ◽  
Genomic Regions

BackgroundIn the evolutionary time scale, selection shapes the genetic variation and alters the architecture of genome in the organisms. Selection leaves detectable signatures at the genomic coordinates that provide clues about the protein-coding regions. Sahiwal is a valuable indicine cattle adapted to tropical environments with desirable milk attributes. Insights into the genomic regions under putative selection may reveal the molecular mechanisms affecting the quantitative and other important traits. To understand this, the present investigation was undertaken to explore signatures of selection in the genome of Sahiwal cattle using a medium-density genotyping INDUS chip.ResultDe-correlated composite of multiple selection signals (DCMS), which combines five different univariate statistics, was computed in the dataset to detect the signatures of selection in the Sahiwal genome. Gene annotations, Quantitative Trait Loci (QTL) enrichment, and functional analyses were carried out for the identification of significant genomic regions. A total of 117 genes were identified, which affect a number of important economic traits. The QTL enrichment analysis highlighted 14 significant [False Discovery Rate (FDR)-corrected p-value ≤ 0.05] regions on chromosomes BTA 1, 3, 6, 11, 20, and 21. The top three enriched QTLs were found on BTA 6, 20, and 23, which are associated with exterior, health, milk production, and reproduction traits. The present study on selection signatures revealed some key genes related with coat color (PDGFRA, KIT, and KDR), facial pigmentation (LEF), milk fat percent (MAP3K1, HADH, CYP2U1, and SGMS2), sperm membrane integrity (OSTC), lactation persistency (MRPS30, NNT, CCL28, HMGCS1, NIM1K, ZNF131, and CCDC152), milk yield (GHR and ZNF469), reproduction (NKX2-1 and DENND1A), and bovine tuberculosis susceptibility (RNF144B and PAPSS1). Further analysis of candidate gene prioritization identified four hub genes, viz., KIT, KDR, MAP3K1, and LEF, which play a role in coat color, facial pigmentation, and milk fat percentage in cattle. Gene enrichment analysis revealed significant Gene ontology (GO) terms related to breed-specific coat color and milk fat percent.ConclusionThe key candidate genes and putative genomic regions associated with economic traits were identified in Sahiwal using single nucleotide polymorphism data and the DCMS method. It revealed selection for milk production, coat color, and adaptability to tropical climate. The knowledge about signatures of selection and candidate genes affecting phenotypes have provided a background information that can be further utilized to understand the underlying mechanism involved in these traits in Sahiwal cattle.

scholarly journals Identification of SNPs and Candidate Genes for Milk Production Ability in Yorkshire Pigs

2021 ◽  
Vol 12 ◽  
Author(s):  
Lijun Shi ◽  
Yang Li ◽  
Qian Liu ◽  
Longchao Zhang ◽  
Ligang Wang ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Milk Production ◽  
Milk Fat ◽  
Enrichment Analysis ◽  
Significant Snps ◽  
Functional Enrichment ◽  
Limiting Factor ◽  
Lactation Performance ◽  
Yorkshire Pigs ◽  
Sow Lactation

Sow milk production ability is an important limiting factor impacting suboptimal growth and the survival of piglets. Through pig genetic improvement, litter sizes have been increased. Larger litters need more suckling mammary glands, which results in increased milk from the lactating sow. Hence, there is much significance to exploring sow lactation performance. For milk production ability, it is not practical to directly measure the milk yield, we used litter weight gain (LWG) throughout sow lactation as an indicator. In this study, we estimated the heritability of LWG, namely, 0.18 ± 0.07. We then performed a GWAS, and detected seven significant SNPs, namely, Sus scrofa Chromosome (SSC) 2: ASGA0010040 (p = 7.73E-11); SSC2:MARC0029355 (p = 1.30E-08), SSC6: WU_10.2_6_65751151 (p = 1.32E-10), SSC7: MARC0058875 (p = 4.99E-09), SSC10: WU_10.2_10_49571394 (p = 6.79E-08), SSC11: M1GA0014659 (p = 1.19E-07), and SSC15: MARC0042106 (p = 1.16E-07). We performed the distribution of phenotypes corresponding to the genotypes of seven significant SNPs and showed that ASGA0010040, MARC0029355, MARC0058875, WU_10.2_10_49571394, M1GA0014659, and MARC0042106 had extreme phenotypic values that corresponded to the homozygous genotypes, while the intermediate values corresponded to the heterozygous genotypes. We screened for flanking regions ± 200 kb nearby the seven significant SNPs, and identified 38 genes in total. Among them, 28 of the candidates were involved in lactose metabolism, colostrum immunity, milk protein, and milk fat by functional enrichment analysis. Through the combined analysis between 28 candidate genes and transcriptome data of the sow mammary gland, we found nine commons (ANO3, MUC15, DISP3, FBXO6, CLCN6, HLA-DRA, SLA-DRB1, SLA-DQB1, and SLA-DQA1). Furthermore, by comparing the chromosome positions of the candidate genes with the quantitative trait locus (QTLs) as previously reported, a total of 17 genes were found to be within 0.86–94.02 Mb of the reported QTLs for sow milk production ability, in which, NAV2 was found to be located with 0.86 Mb of the QTL region ssc2: 40936355. In conclusion, we identified seven significant SNPs located on SSC2, 6, 7, 10, 11, and 15, and propose 28 candidate genes for the ability to produce milk in Yorkshire pigs, 10 of which were key candidates.

scholarly journals Identification of Genomic Regions Associated with Concentrations of Milk Fat, Protein, Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 456
Author(s):  
Hewa Bahithige Pavithra Chathurangi Ariyarathne ◽  
Martin Correa-Luna ◽  
Hugh Thomas Blair ◽  
Dorian John Garrick ◽  
Nicolas Lopez-Villalobos
Keyword(s):  
Gene Ontology ◽  
New Zealand ◽  
Dairy Cows ◽  
Candidate Genes ◽  
Milk Fat ◽  
Crude Protein ◽  
Single Locus ◽  
Protein Utilization ◽  
Grazing Dairy Cows ◽  
Genomic Regions

The objective of this study was to identify genomic regions associated with milk fat percentage (FP), crude protein percentage (CPP), urea concentration (MU) and efficiency of crude protein utilization (ECPU: ratio between crude protein yield in milk and dietary crude protein intake) using grazing, mixed-breed, dairy cows in New Zealand. Phenotypes from 634 Holstein Friesian, Jersey or crossbred cows were obtained from two herds at Massey University. A subset of 490 of these cows was genotyped using Bovine Illumina 50K SNP-chips. Two genome-wise association approaches were used, a single-locus model fitted to data from 490 cows and a single-step Bayes C model fitted to data from all 634 cows. The single-locus analysis was performed with the Efficient Mixed-Model Association eXpedited model as implemented in the SVS package. Single nucleotide polymorphisms (SNPs) with genome-wide association p-values ≤ 1.11 × 10−6 were considered as putative quantitative trait loci (QTL). The Bayes C analysis was performed with the JWAS package and 1-Mb genomic windows containing SNPs that explained > 0.37% of the genetic variance were considered as putative QTL. Candidate genes within 100 kb from the identified SNPs in single-locus GWAS or the 1-Mb windows were identified using gene ontology, as implemented in the Ensembl Genome Browser. The genes detected in association with FP (MGST1, DGAT1, CEBPD, SLC52A2, GPAT4, and ACOX3) and CPP (DGAT1, CSN1S1, GOSR2, HERC6, and IGF1R) were identified as candidates. Gene ontology revealed six novel candidate genes (GMDS, E2F7, SIAH1, SLC24A4, LGMN, and ASS1) significantly associated with MU whose functions were in protein catabolism, urea cycle, ion transportation and N excretion. One novel candidate gene was identified in association with ECPU (MAP3K1) that is involved in post-transcriptional modification of proteins. The findings should be validated using a larger population of New Zealand grazing dairy cows.

Study on candidate genes for milk production traits of Red Chittagong Cattle

2020 ◽  
Vol 26 (1-2) ◽  
pp. 1-7
Author(s):  
MP Mostari ◽  
MYA Khan
Keyword(s):  
Candidate Genes ◽  
Milk Production ◽  
Milk Fat ◽  
Nucleotide Polymorphisms ◽  
Production Traits ◽  
Milk Production Traits ◽  
Single Nucleotide ◽  
Lactating Cows ◽  
Pooled Dna ◽  
Fat Yield

The study was carried out on Stearoyl-CoA desaturase (SCD,) diacylglycerolacyltransferase-1 (DGAT1) and ATP-binding cassette G2 (ABCG2) genes which are responsible for variation in milk production traits (milk yield, fat yield, protein yield, and SNF yield) in cattle. These genes were used as candidate genes in Red Chittagong Cattle (RCC) breed of Bangladesh Livestock Research Institute (BLRI) herd for detection of single nucleotide polymorphisms (SNPs) causing variation in milk production traits. Focusing on the effects of SNPs on milk production traits, phenotypic variation within RCC breed was identified and categorized based on milk production traits. Average lactation yield varied from 527 to 1436 kg (n=29) per lactation. About 18% of lactating cows showed an average of >1000 kg per lactation. Average fat percent ranged from 4.71 to 6.25 (n=15). Eighteen (18) set of primers were designed to amplify targeted regions of SCD, DGAT1 and ABCG2 genes, where 8 set from DGAT1, 6 set from SCD and 4 set from ABCG2 gene. Pooled DNA from 50 RCC cows and 5 RCC bulls were used in sequencing. In sequence analysis, the SCD, DGAT1 and ABCG2 alleles found fixed in RCC. This study suggests an evidence that RCC breed has fixed alleles with respect to SCD, DGAT1 and ABCG2 genes reported to be responsible for higher milk fat yield, higher fat and protein percent. Bang. J. Livs. Res. Vol. 26 (1&2), 2019: P. 1-7

scholarly journals Genetic Diversity and Signatures of Selection for Thermal Stress in Cattle and Other Two Bos Species Adapted to Divergent Climatic Conditions

2021 ◽  
Vol 12 ◽  
Author(s):  
Pedro H. F. Freitas ◽  
Yachun Wang ◽  
Ping Yan ◽  
Hinayah R. Oliveira ◽  
Flavio S. Schenkel ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Candidate Genes ◽  
Thermal Tolerance ◽  
Climatic Conditions ◽  
Biological Processes ◽  
Biological Mechanisms ◽  
Cattle Breeds ◽  
Signatures Of Selection ◽  
Selection For ◽  
Genomic Regions

Understanding the biological mechanisms of climatic adaptation is of paramount importance for the optimization of breeding programs and conservation of genetic resources. The aim of this study was to investigate genetic diversity and unravel genomic regions potentially under selection for heat and/or cold tolerance in thirty-two worldwide cattle breeds, with a focus on Chinese local cattle breeds adapted to divergent climatic conditions, Datong yak (Bos grunniens; YAK), and Bali (Bos javanicus) based on dense SNP data. In general, moderate genetic diversity levels were observed in most cattle populations. The proportion of polymorphic SNP ranged from 0.197 (YAK) to 0.992 (Mongolian cattle). Observed and expected heterozygosity ranged from 0.023 (YAK) to 0.366 (Sanhe cattle; SH), and from 0.021 (YAK) to 0.358 (SH), respectively. The overall average inbreeding (±SD) was: 0.118 ± 0.028, 0.228 ± 0.059, 0.194 ± 0.041, and 0.021 ± 0.004 based on the observed versus expected number of homozygous genotypes, excess of homozygosity, correlation between uniting gametes, and runs of homozygosity (ROH), respectively. Signatures of selection based on multiple scenarios and methods (FST, HapFLK, and ROH) revealed important genomic regions and candidate genes. The candidate genes identified are related to various biological processes and pathways such as heat-shock proteins, oxygen transport, anatomical traits, mitochondrial DNA maintenance, metabolic activity, feed intake, carcass conformation, fertility, and reproduction. This highlights the large number of biological processes involved in thermal tolerance and thus, the polygenic nature of climatic resilience. A comprehensive description of genetic diversity measures in Chinese cattle and YAK was carried out and compared to 24 worldwide cattle breeds to avoid potential biases. Numerous genomic regions under positive selection were detected using three signature of selection methods and candidate genes potentially under positive selection were identified. Enriched function analyses pinpointed important biological pathways, molecular function and cellular components, which contribute to a better understanding of the biological mechanisms underlying thermal tolerance in cattle. Based on the large number of genomic regions identified, thermal tolerance has a complex polygenic inheritance nature, which was expected considering the various mechanisms involved in thermal stress response.

scholarly journals Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wellington B. Santos ◽  
Gustavo P. Schettini ◽  
Amanda M. Maiorano ◽  
Fernando O. Bussiman ◽  
Júlio C. C. Balieiro ◽  
...  
Keyword(s):  
Positive Selection ◽  
Candidate Genes ◽  
Limb Development ◽  
Balancing Selection ◽  
Phenotypic Traits ◽  
Nadh Regeneration ◽  
Recent Positive Selection ◽  
Signatures Of Selection ◽  
Genomic Regions ◽  
Tajima’S D

Abstract Background The detection of signatures of selection in genomic regions provides insights into the evolutionary process, enabling discoveries regarding complex phenotypic traits. In this research, we focused on identifying genomic regions affected by different selection pressures, mainly highlighting the recent positive selection, as well as understanding the candidate genes and functional pathways associated with the signatures of selection in the Mangalarga Marchador genome. Besides, we seek to direct the discussion about genes and traits of importance in this breed, especially traits related to the type and quality of gait, temperament, conformation, and locomotor system. Results Three different methods were used to search for signals of selection: Tajima’s D (TD), the integrated haplotype score (iHS), and runs of homozygosity (ROH). The samples were composed of males (n = 62) and females (n = 130) that were initially chosen considering well-defined phenotypes for gait: picada (n = 86) and batida (n = 106). All horses were genotyped using a 670 k Axiom® Equine Genotyping Array​ (Axiom MNEC670). In total, 27, 104 (chosen), and 38 candidate genes were observed within the signatures of selection identified in TD, iHS, and ROH analyses, respectively. The genes are acting in essential biological processes. The enrichment analysis highlighted the following functions: anterior/posterior pattern for the set of genes (GLI3, HOXC9, HOXC6, HOXC5, HOXC4, HOXC13, HOXC11, and HOXC10); limb morphogenesis, skeletal system, proximal/distal pattern formation, JUN kinase activity (CCL19 and MAP3K6); and muscle stretch response (MAPK14). Other candidate genes were associated with energy metabolism, bronchodilator response, NADH regeneration, reproduction, keratinization, and the immunological system. Conclusions Our findings revealed evidence of signatures of selection in the MM breed that encompass genes acting on athletic performance, limb development, and energy to muscle activity, with the particular involvement of the HOX family genes. The genome of MM is marked by recent positive selection. However, Tajima’s D and iHS results point also to the presence of balancing selection in specific regions of the genome.

Use of single-step genome-wide association studies for prospecting genomic regions related to milk production and milk quality of buffalo

2018 ◽  
Vol 85 (4) ◽  
pp. 402-406 ◽  
Author(s):  
Camila da Costa Barros ◽  
Daniel Jordan de Abreu Santos ◽  
Rusbel Raul Aspilcueta-Borquis ◽  
Gregório Miguel Ferreira de Camargo ◽  
Francisco Ribeiro de Araújo Neto ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Association Studies ◽  
Single Step ◽  
Milk Quality ◽  
Genome Wide Association Studies ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Genomic Regions

The aim of this research communication was to identify chromosome regions and genes that could be related to milk yield (MY), milk fat (%F) and protein percentage (%P) in Brazilian buffalo cows using information from genotyped and non-genotyped animals. We used the 90 K Axiom® Buffalo Genotyping array. A repeatability model was used. An iterative process was performed to calculate the weights of markers as a function of the squared effects of Single Nucleotide Polymorphism (SNP) and allele frequencies. The 10 SNPs with the largest effects for MY, %F and %P were studied and they explained 7·48, 9·94 and 6·56% of the genetic variance, respectively. These regions harbor genes with biological functions that could be related to the traits analyzed. The identification of such regions and genes will contribute to a better understanding of their influence on milk production and milk quality traits of buffaloes.

scholarly journals Signatures of selection reveal candidate genes involved in economic traits and cold acclimation in five Swedish cattle breeds

2020 ◽  
Vol 52 (1) ◽  
Author(s):  
Seyed Mohammad Ghoreishifar ◽  
Susanne Eriksson ◽  
Anna M. Johansson ◽  
Majid Khansefid ◽  
Sima Moghaddaszadeh-Ahrabi ◽  
...  
Keyword(s):  
Cold Acclimation ◽  
Candidate Genes ◽  
Economic Traits ◽  
Cattle Breeds ◽  
Signatures Of Selection

scholarly journals Genomic Scan for Selection Signature Reveals Fat Deposition in Chinese Indigenous Sheep with Extreme Tail Types

Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 773 ◽  
Author(s):  
Fuping Zhao ◽  
Tianyu Deng ◽  
Liangyu Shi ◽  
Wenwen Wang ◽  
Qin Zhang ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Coat Color ◽  
Reproductive Traits ◽  
Bioinformatic Analysis ◽  
Selection Signatures ◽  
Selection Signature ◽  
Positional Candidate ◽  
Indigenous Sheep ◽  
Tibetan Sheep ◽  
Genomic Regions

It is a unique feature that fat can be deposited in sheep tails and rumps. To elucidate the genetic mechanism underlying this trait, we collected 120 individuals from three Chinese indigenous sheep breeds with extreme tail types, namely large fat-tailed sheep (n = 40), Altay sheep (n = 40), and Tibetan sheep (n = 40), and genotyped them using the Ovine Infinium HD SNP BeadChip. Then genomic scan for selection signatures was performed using the hapFLK. In total, we identified 25 genomic regions exhibiting evidence of having been under selection. Bioinformatic analysis of the genomic regions showed that selection signatures related to multiple candidate genes had a demonstrated role in phenotypic variation. Nine genes have documented association with sheep tail types, including WDR92, TBX12, WARS2, BMP2, VEGFA, PDGFD, HOXA10, ALX4, and ETAA1. Moreover, a number of genes were of particular interest, including RXFP2 associated with the presence/absence and morphology of horns; MITF involved in coat color; LIN52 and SYNDIG1L related to the number of teats; MSRB3 gene associated with ear sizes; LTBP2 considered as a positional candidate genes for number of ribs; JAZF1 regulating lipid metabolism; PGRMC2, SPAG17, TSHR, GTF2A1, and LARP1B implicated with reproductive traits. Our findings provide insights into fat tail formation and a reference for carrying out molecular breeding and conservation in sheep.

scholarly journals Exploring the genetic architecture of feed efficiency traits in chickens

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jorge Augusto Petroli Marchesi ◽  
Rafael Keith Ono ◽  
Maurício Egídio Cantão ◽  
Adriana Mércia Guaratini Ibelli ◽  
Jane de Oliveira Peixoto ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Feed Efficiency ◽  
Gene Networks ◽  
Genome Wide Association Study ◽  
Body Weight Gain ◽  
Snp Array ◽  
Experimental Population ◽  
Economic Traits ◽  
A Genome ◽  
Genomic Regions

AbstractChicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens.

Estimation of milk fat, solids-not-fat and total solids production in zebu and their brown swiss crosses

1983 ◽  
Vol 36 (3) ◽  
pp. 383-387
Author(s):  
K. N. S. Sharma ◽  
D. K. Jain ◽  
D. S. Bhatnagar ◽  
R. C. Sharma
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Total Solids ◽  
Brown Swiss ◽  
Yield Parameters ◽  
Sahiwal Cattle ◽  
The Mean ◽  
Selection Of

ABSTRACTThe present study estimates the mean fat and solids-not-fat concentrations, and 305-day yields of fat, solids-not-fat, total solids and milk for three zebu breeds (Tharparkar, Sahiwal and Red Sindhi) and for halfbred F1 and F2 Brown Swiss ♂ × Sahiwal ♀ and ¾ Brown Swiss ♂ × Sahiwal 9 cattle maintained at this Institute during the period 1972–75. Mean fat and solids-not-fat concentrations ranged from 46·4 to 47·8 g/kg and 90·3 to 90·9 g/kg respectively, which were similar for all breeds. The 305-day fat, solids-not-fat, total solids and milk yields differed significantly between different breeds (P < 0–01). These yields were similar for the three zebu breeds (86 to 96 kg fat, 164 to 186 kg solids-not-fat, 250 to 282 kg total solids and 1 814 to 2 054 kg milk), but crossbreds showed significantly higher yields (125 to 171 kg, 242 to 332 kg, 368 to 503 kg and 2 670 to 3 676 kg, respectively), the highest being for F1 halfbreds. Season of calving had no significant effect on mean fat and solids-not-fat concentrations whereas the lactation yield parameters were found to be significantly higher for Tharparkar, Sahiwal and F1 Brown Swiss × Sahiwal cattle calving in the winter, followed in order by those calving in the monsoon and those calving in the summer. Selection of animals based on milk production alone was also found to increase the yield of milk constituents.

Sign in / Sign up

Export Citation Format

Share Document