Genome-Wide Association Studies Reveal Neurological Genes for Dog Herding, Predation, Temperament, and Trainability Traits

Genome-wide association study (GWAS) using dog breed standard values as phenotypic measurements is an efficient way to identify genes associated with morphological and behavioral traits. As a result of strong human purposeful selections, several specialized behavioral traits such as herding and hunting have been formed in different modern dog breeds. However, genetic analyses on this topic are rather limited due to the accurate phenotyping difficulty for these complex behavioral traits. Here, 268 dog whole-genome sequences from 130 modern breeds were used to investigate candidate genes underlying dog herding, predation, temperament, and trainability by GWAS. Behavioral phenotypes were obtained from the American Kennel Club based on dog breed standard descriptions or groups (conventional categorization of dog historical roles). The GWAS results of herding behavior (without body size as a covariate) revealed 44 significantly associated sites within five chromosomes. Significantly associated sites on CFA7, 9, 10, and 20 were located either in or near neuropathological or neuronal genes including THOC1, ASIC2, MSRB3, LLPH, RFX8, and CHL1. MSRB3 and CHL1 genes were reported to be associated with dog fear. Since herding is a restricted hunting behavior by removing killing instinct, 36 hounds and 55 herding dogs were used to analyze predation behavior. Three neuronal-related genes (JAK2, MEIS1, and LRRTM4) were revealed as candidates for predation behavior. The significantly associated variant of temperament GWAS was located within ACSS3 gene. The highest associated variant in trainability GWAS is located on CFA22, with no variants detected above the Bonferroni threshold. Since dog behaviors are correlated with body size, we next incorporate body mass as covariates into GWAS; and significant signals around THOC1, MSRB3, LLPH, RFX8, CHL1, LRRTM4, and ACSS3 genes were still detected for dog herding, predation, and temperament behaviors. In humans, these candidate genes are either involved in nervous system development or associated with mental disorders. In conclusion, our results imply that these neuronal or psychiatric genes might be involved in biological processes underlying dog herding, predation, and temperament behavioral traits.

Download Full-text

Genome‐wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep

Journal of Animal Breeding and Genetics ◽

10.1111/jbg.12402 ◽

2019 ◽

Vol 136 (5) ◽

pp. 362-370 ◽

Cited By ~ 6

Author(s):

Tongyu Zhang ◽

Hongding Gao ◽

Goutam Sahana ◽

Yanjun Zan ◽

Hongying Fan ◽

...

Keyword(s):

Body Size ◽

Candidate Genes ◽

Association Studies ◽

Fat Deposition ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide

Download Full-text

Identification of QTNs and Their Candidate Genes for 100-Seed Weight in Soybean (Glycine max L.) Using Multi-Locus Genome-Wide Association Studies

Genes ◽

10.3390/genes11070714 ◽

2020 ◽

Vol 11 (7) ◽

pp. 714 ◽

Cited By ~ 1

Author(s):

Muhammad Ikram ◽

Xu Han ◽

Jian-Fang Zuo ◽

Jian Song ◽

Chun-Yu Han ◽

...

Keyword(s):

Candidate Genes ◽

Marker Assisted Selection ◽

Seed Weight ◽

Genome Wide Association Study ◽

Association Studies ◽

Single Locus ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

100 Seed Weight

100-seed weight (100-SW) in soybeans is a yield component trait and controlled by multiple genes with different effects, but limited information is available for its quantitative trait nucleotides (QTNs) and candidate genes. To better understand the genetic architecture underlying the trait and improve the precision of marker-assisted selection, a total of 43,834 single nucleotide polymorphisms (SNPs) in 250 soybean accessions were used to identify significant QTNs for 100-SW in four environments and their BLUP values using six multi-locus and one single-locus genome-wide association study methods. As a result, a total of 218 significant QTNs were detected using multi-locus methods, whereas eight QTNs were identified by a single-locus method. Among 43 QTNs or QTN clusters identified repeatedly across various environments and/or approaches, all of them exhibited significant trait differences between their corresponding alleles, 33 were found in the genomic region of previously reported QTLs, 10 were identified as new QTNs, and three (qHSW-4-1, qcHSW-7-3, and qcHSW-10-4) were detected in all the four environments. The number of seed weight (SW) increasing alleles for each accession ranged from 8 (18.6%) to 36 (83.72%), and three accessions (Yixingwuhuangdou, Nannong 95C-5, and Yafanzaodou) had more than 35 SW increasing alleles. Among 36 homologous seed-weight genes in Arabidopsis underlying the above 43 stable QTNs, more importantly, Glyma05g34120, GmCRY1, and GmCPK11 had known seed-size/weight-related genes in soybean, and Glyma07g07850, Glyma10g03440, and Glyma10g36070 were candidate genes identified in this study. These results provide useful information for genetic foundation, marker-assisted selection, genomic prediction, and functional genomics of 100-SW.

Download Full-text

Genome-wide association studies reveal the coordinated regulatory networks underlying photosynthesis and wood formation in Populus

Journal of Experimental Botany ◽

10.1093/jxb/erab122 ◽

2021 ◽

Author(s):

Mingyang Quan ◽

Xin Liu ◽

Qingzhang Du ◽

Liang Xiao ◽

Wenjie Lu ◽

...

Keyword(s):

Candidate Genes ◽

Regulatory Networks ◽

Genome Wide Association Study ◽

Association Studies ◽

Wood Properties ◽

Wood Formation ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Regulatory Pathways ◽

Genome Wide

Abstract Photosynthesis and wood formation underlie the ability of trees to provide renewable resources and perform ecosystem services; however, the genetic basis and regulatory pathways coordinating these two linked processes remain unclear. Here, we used a systems genetics strategy, integrating genome-wide association study, transcriptomic analyses, and transgenic experiments, to investigate the genetic architecture of photosynthesis and wood properties among 435 unrelated individuals of Populus tomentosa and unravel the coordinated regulatory networks causative of two trait categories. We totally detected 222 significant single-nucleotide polymorphisms, annotated to 177 candidate genes, for 10 traits of photosynthesis and wood properties. Epistasis uncovered 74 epistatic interactions for phenotypes. Strikingly, we deciphered the coordinated regulation patterns of pleiotropic genes underlying phenotypic variations for two trait categories. Furthermore, expression quantitative trait nucleotide mapping and coexpression analysis were integrated to unravel the potential transcriptional regulatory networks of candidate genes coordinating photosynthesis and wood properties. Finally, we heterologously expressed two pleiotropic genes, PtoMYB62 and PtoMYB80, in Arabidopsis thaliana, and demonstrated that they coordinate regulatory networks balancing photosynthesis and stem secondary cell wall components, respectively. Our study provides insight into the regulatory mechanisms coordinating photosynthesis and wood formation in poplar, which will accelerate the genetic breeding in trees via molecular design.

Download Full-text

Genome Wide Association Study of Frost Tolerance in Wheat

10.21203/rs.3.rs-1021566/v1 ◽

2021 ◽

Author(s):

Behnaz Soleimani ◽

Heike Lehnert ◽

Steve Babben ◽

Jens Keilwagen ◽

Michael Koch ◽

...

Keyword(s):

Winter Wheat ◽

Candidate Genes ◽

Genome Wide Association Study ◽

Negative Impact ◽

Association Studies ◽

Frost Tolerance ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

Chromosome 5A

Abstract Winter wheat growing areas in the Northern hemisphere are regularly exposed to heavy frost. Due to the negative impact on yield, the identification of genetic factors controlling frost tolerance (FroT) and development of tools for breeding is of prime importance. Here, we detected QTL associated with FroT by genome wide association studies (GWAS) using a diverse panel of 276 winter wheat genotypes that was phenotyped at five locations in Germany and Russia in three years. The panel was genotyped using the 90K iSelect array and SNPs in FroT candidate genes. In total, 17,566 SNPs were used for GWAS resulting in the identification of 53 markers significantly associated (LOD ≥4) to FroT, corresponding to 23 QTL regions located on 11 chromosomes (1A, 1B, 2A, 2B, 2D, 3A, 3D, 4A, 5A, 5B and 7D). The strongest QTL effect confirmed the importance of chromosome 5A for FroT. In addition, to our best knowledge, seven FroT QTLs were discovered for the first time in this study comprising QTLs on chromosomes 3A, 4A, 1B, and two on chromosomes 2D, 3D, and 7D. Identification of novel FroT candidate genes will help to better understand the FroT mechanism in wheat and to develop more effective combating strategies.

Download Full-text

Candidate genes for productivity identified by genome-wide association study with indicators of class in the Russian meat merino sheep breed

Vavilov Journal of Genetics and Breeding ◽

10.18699/vj20.681 ◽

2020 ◽

Vol 24 (8) ◽

pp. 836-843

Author(s):

A. Y. Krivoruchko ◽

O. A. Yatsyk ◽

E. Y. Safaryan

Keyword(s):

Candidate Genes ◽

Genome Wide Association Study ◽

Association Studies ◽

Genome Wide Association ◽

Phenotypic Traits ◽

Genome Wide Association Studies ◽

Nucleotide Polymorphisms ◽

High Association ◽

Genome Wide ◽

Individual Snps

Genome-wide association studies allow identification of loci and polymorphisms associated with the formation of relevant phenotypes. When conducting a full genome analysis of sheep, particularly promising is the study of individuals with outstanding productivity indicators – exhibition animals, representatives of the super-elite class. The aim of this study was to identify new candidate genes for economically valuable traits based on the search for single nucleotide polymorphisms (SNPs) associated with belonging to different evaluation classes in rams of the Russian meat merino breed. Animal genotyping was performed using Ovine Infinium HD BeadChip 600K DNA, association search was performed using PLINK v. 1.07 software. Highly reliable associations were found between animals belonging to different evaluation classes and the frequency of occurrence of individual SNPs on chromosomes 2, 6, 10, 13, and 20. Most of the substitutions with high association reliability are concentrated on chromosome 10 in the region 10: 30859297–31873769. To search for candidate genes, 15 polymorphisms with the highest association reliability were selected (–log10(р) > 9). Determining the location of the analyzed SNPs relative to the latest annotation Oar_rambouillet_v1.0 allowed to identify 11 candidate genes presumably associated with the formation of a complex of phenotypic traits of animals in the exhibition group: RXFP2, ALOX5AP, MEDAG, OPN5, PRDM5, PTPRT, TRNAS-GGA, EEF1A1, FRY, ZBTB21-like, and B3GLCT-like. The listed genes encode proteins involved in the control of the cell cycle and DNA replication, regulation of cell proliferation and apoptosis, lipid and carbohydrate metabolism, the development of the inflammatory process and the work of circadian rhythms. Thus, the candidate genes under consideration can influence the formation of exterior features and productive qualities of sheep. However, further research is needed to confirm the influence of genes and determine the exact mechanisms for implementing this influence on the phenotype.

Download Full-text

Genome-wide association studies uncover candidate genes for Zinc, Iron, and Selenium concentration in barley grains

10.21203/rs.3.rs-764366/v1 ◽

2021 ◽

Author(s):

Samar G. Thabet ◽

Dalia Z. Alomari ◽

Ahmad M. Alqudah

Keyword(s):

Candidate Genes ◽

Genome Wide Association Study ◽

Association Studies ◽

Spring Barley ◽

Genome Wide Association ◽

Human Consumption ◽

Genome Wide Association Studies ◽

Genome Wide ◽

A Genome ◽

Barley Grains

Abstract Background Barley (Hordeum vulgare L.) is one of the most important staple food crops worldwide. Mineral concentrations in cereals are important for human health; hence improving Zn, Fe and Se accumulation in grains is an imperative need. This study was designed to understand the genetic architecture of Zn, Fe and Se grain concentrations in barley grains. Results We performed a genome-wide association study (GWAS) for grain Zn, Fe and Se concentrations in 216 spring barley accessions, using field data from 2 years. All the accessions were genotyped with a high-density 9K SNPs array from IlluminaTM. The mean values of estimated BLUEs for Zn, Fe and Se were 38.37, 35.56 and 39.45 µg g− 1 dry weight, respectively. High heritability was equaled 75.65% for Fe across the two environments, while moderate heritability values were detected for Zn and Se. Notably, wide genetic variation was found among genotypes for Zn, Fe and Se concentrations. A total of 222 SNPs associated with Zn, Fe and Se were detected on all chromosomes, where the highest significant associations is linked to Fe accumulation. Three genomic regions include newly identified putative candidate genes, which are related to Zn uptake and transport or represent Homeobox leucine zipper protein. Additionally, several significant associations were physically located inside or near genes which are potentially involved in Zn and Fe homoeostasis of which two candidate genes at 5H (502,454,312–502,455,148 bp) and 7H (205,216,091–205,221,133 bp) were found to be involved in Basic helix loop helix (BHLH) family transcription factor and Squamosa promoter binding-like protein, respectively. Conclusions These findings provide new insights into the genetic basis of Zn, Fe and Se concentration in barley grains that in turn may help plant breeders to select high Zn, Fe and Se-containing genotypes to improve human consumption and grain quality.

Download Full-text

Genome-wide association studies reveal candidate genes associated to bacteraemia caused by ST93-IV CA-MRSA

BMC Genomics ◽

10.1186/s12864-021-07738-4 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Stanley Pang ◽

Denise A Daley ◽

Shafi Sahibzada ◽

Shakeel Mowlaboccus ◽

Marc Stegger ◽

...

Keyword(s):

Candidate Genes ◽

Virulence Genes ◽

Genome Wide Association Study ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genetic Traits ◽

Genome Wide ◽

A Genome ◽

Northern Regions

Abstract Background The global emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has seen the dominance of specific clones in different regions around the world with the PVL-positive ST93-IV as the predominant CA-MRSA clone in Australia. In this study we applied a genome-wide association study (GWAS) approach on a collection of Australian ST93-IV MRSA genomes to screen for genetic traits that might have assisted the ongoing transmission of ST93-IV in Australia. We also compared the genomes of ST93-IV bacteraemia and non-bacteraemia isolates to search for potential virulence genes associated with bacteraemia. Results Based on single nucleotide polymorphism phylogenetics we revealed two distinct ST93-IV clades circulating concurrently in Australia. One of the clades contained isolates primarily isolated in the northern regions of Australia whilst isolates in the second clade were distributed across the country. Analyses of the ST93-IV genome plasticity over a 15-year period (2002–2017) revealed an observed gain in accessory genes amongst the clone’s population. GWAS analysis on the bacteraemia isolates identified two gene candidates that have previously been associated to this kind of infection. Conclusions Although this hypothesis was not tested here, it is possible that the emergence of a ST93-IV clade containing additional virulence genes might be related to the high prevalence of ST93-IV infections amongst the indigenous population living in the northern regions of Australia. More importantly, our data also demonstrated that GWAS can reveal candidate genes for further investigations on the pathogenesis and evolution of MRSA strains within a same lineage.

Download Full-text

Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Genome Biology ◽

10.1186/s13059-021-02398-9 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Daniel L. McCartney ◽

Josine L. Min ◽

Rebecca C. Richmond ◽

Ake T. Lu ◽

Maria K. Sobczyk ◽

...

Keyword(s):

Dna Methylation ◽

Genome Wide Association Study ◽

Association Studies ◽

Genome Wide Association ◽

Biological Aging ◽

Genome Wide Association Studies ◽

Genetic Loci ◽

Biomarkers Of Aging ◽

Genome Wide ◽

Shared Genetic

Abstract Background Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Results Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.

Download Full-text

A meta-analysis of genome-wide association studies for average daily gain and lean meat percentage in two Duroc pig populations

BMC Genomics ◽

10.1186/s12864-020-07288-1 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Shenping Zhou ◽

Rongrong Ding ◽

Fanming Meng ◽

Xingwang Wang ◽

Zhanwei Zhuang ◽

...

Keyword(s):

Candidate Genes ◽

Growth And Development ◽

Genetic Architecture ◽

Association Studies ◽

Meta Analysis ◽

Average Daily Gain ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

Daily Gain

Abstract Background Average daily gain (ADG) and lean meat percentage (LMP) are the main production performance indicators of pigs. Nevertheless, the genetic architecture of ADG and LMP is still elusive. Here, we conducted genome-wide association studies (GWAS) and meta-analysis for ADG and LMP in 3770 American and 2090 Canadian Duroc pigs. Results In the American Duroc pigs, one novel pleiotropic quantitative trait locus (QTL) on Sus scrofa chromosome 1 (SSC1) was identified to be associated with ADG and LMP, which spans 2.53 Mb (from 159.66 to 162.19 Mb). In the Canadian Duroc pigs, two novel QTLs on SSC1 were detected for LMP, which were situated in 3.86 Mb (from 157.99 to 161.85 Mb) and 555 kb (from 37.63 to 38.19 Mb) regions. The meta-analysis identified ten and 20 additional SNPs for ADG and LMP, respectively. Finally, four genes (PHLPP1, STC1, DYRK1B, and PIK3C2A) were detected to be associated with ADG and/or LMP. Further bioinformatics analysis showed that the candidate genes for ADG are mainly involved in bone growth and development, whereas the candidate genes for LMP mainly participated in adipose tissue and muscle tissue growth and development. Conclusions We performed GWAS and meta-analysis for ADG and LMP based on a large sample size consisting of two Duroc pig populations. One pleiotropic QTL that shared a 2.19 Mb haplotype block from 159.66 to 161.85 Mb on SSC1 was found to affect ADG and LMP in the two Duroc pig populations. Furthermore, the combination of single-population and meta-analysis of GWAS improved the efficiency of detecting additional SNPs for the analyzed traits. Our results provide new insights into the genetic architecture of ADG and LMP traits in pigs. Moreover, some significant SNPs associated with ADG and/or LMP in this study may be useful for marker-assisted selection in pig breeding.

Download Full-text

Heritability and genome-wide association study of diffusing capacity of the lung

10.1101/277343 ◽

2018 ◽

Author(s):

Natalie Terzikhan ◽

Fangui Sun ◽

Fien M. Verhamme ◽

Hieab H.H. Adams ◽

Daan Loth ◽

...

Keyword(s):

Genome Wide Association Study ◽

Association Studies ◽

Meta Analysis ◽

Genome Wide Association ◽

Considerable Proportion ◽

Genome Wide Association Studies ◽

Diffusing Capacity ◽

Human Lung Tissue ◽

Alveolar Volume ◽

Genome Wide

AbstractBackgroundAlthough several genome wide association studies (GWAS) have investigated the genetics of pulmonary ventilatory function, little is known about the genetic factors that influence gas exchange.AimTo investigate the heritability of, and genetic variants associated with the diffusing capacity of the lung.MethodsGWAS was performed on diffusing capacity, measured by carbon monoxide uptake (DLCO) and per alveolar volume (DLCO/VA) using the single-breath technique, in 8,372 individuals from two population-based cohort studies, the Rotterdam Study and the Framingham Heart Study. Heritability was estimated in related (n=6,246) and unrelated (n=3,286) individuals.ResultsHeritability of DLCO and DLCO/VA ranged between 23% and 28% in unrelated individuals and between 45% and 49% in related individuals. Meta-analysis identified a genetic variant in GPR126 that is significantly associated with DLCO/VA. Gene expression analysis of GPR126 in human lung tissue revealed a decreased expression in patients with COPD and subjects with decreased DLCO/VA.ConclusionDLCO and DLCO/VA are heritable traits, with a considerable proportion of variance explained by genetics. A functional variant in GPR126 gene region was significantly associated with DLCO/VA. Pulmonary GPR126 expression was decreased in patients with COPD.

Download Full-text