Genome-Wide Association Study of Piscine Myocarditis Virus (PMCV) Resistance in Atlantic Salmon (Salmo salar)

2019 ◽  
Vol 110 (6) ◽  
pp. 720-726 ◽  
Author(s):  
Borghild Hillestad ◽  
Hooman K Moghadam
Keyword(s):  
Genetic Variation ◽  
Atlantic Salmon ◽  
Genome Wide Association Study ◽  
Snp Array ◽  
Significant Quantitative Trait Locus ◽  
Viral Disease ◽  
Breeding Programs ◽  
Immunological Mechanisms ◽  
Trait Locus ◽  
Immune Related Genes

Abstract Cardiomyopathy syndrome is a severe, viral disease of Atlantic salmon that mostly affects farmed animals during their late production stage at sea. Caused by piscine myocarditis virus (PMCV), over the past few years outbreaks due to this disease have resulted in significant losses to the aquaculture industry. However, there is currently no vaccine that has proven effective against this virus. In this study, using a challenge model, we investigated the genetic variation for resistance to PMCV, by screening a large number of animals using a 55 K SNP array. In particular, we aimed to identify genetic markers that are tightly linked to higher disease resistance and can potentially be used in breeding programs. Using genomic information, we estimated a heritability of 0.51 ± 0.06, suggesting that resistance against this virus, to a great extent, is controlled by genetic factors. Through association analysis, we identified a significant quantitative trait locus (QTL) on chromosome 27, explaining approximately 57% of the total additive genetic variation. The region harboring this QTL contains various immune-related candidate genes, many of which have previously been shown to have a different expression profile between the naïve and infected animals. We also identified a suggestive association on chromosome 12, with the QTL linked markers located in 2 putatively immune-related genes. These results are of particular interest, as they can readily be implemented into breeding programs, can further assist in fine-mapping the causative mutations, and help in better understanding the biology of the disease and the immunological mechanisms underlying resistance against PMCV.

scholarly journals Genome-wide association study of piscine myocarditis virus (PMCV) robustness in Atlantic salmon (Salmo salar)

2018 ◽  
Author(s):  
Borghild Hillestad ◽  
Hooman K. Moghadam
Keyword(s):  
Genetic Variation ◽  
Atlantic Salmon ◽  
Genome Wide Association Study ◽  
Snp Array ◽  
Viral Disease ◽  
Causative Mutation ◽  
Breeding Programs ◽  
Genome Wide ◽  
Differential Expression Profile ◽  
Immune Related Genes

AbstractCardiomyopathy syndrome is a sever, viral disease of Atlantic salmon that mostly affects farmed animals during their late production stage at sea. Caused by piscine myocarditis virus (PMCV), over the past few years, the outbreaks due to this disease have resulted in significant losses to the aquaculture industry. However, there are currently no vaccine that has proven effective against this virus. In this study, using a challenge model, we investigate the genetic variation for robustness to PMCV, by screening large number of animals using a 55 K SNP array. In particular, we aimed to identify genetic markers that are tightly linked to higher disease resistance and can potentially be used in breeding programs. Using genomic information, we estimated heritability of 0.41 ±0.05, suggesting that robustness against this virus is largely controlled by genetic factors. Through association analysis, we identified a major QTL on chromosome 27, explaining approximately 57% of the total additive genetic variation. The region harbouring this putative QTL contains various immune related candidate genes, many of which have previously been shown to have a differential expression profile between the naïve and infected animals. We also identified a suggestive association on chromosome 12, where the QTL linked markers are located within two putatively immune related genes. These findings are important as they can be readily implemented into the breeding programs but also the results can further help in fine-mapping the causative mutation, in better understanding the biology of the disease and refine the mechanics of resistance against PMCV.

scholarly journals Genome-Wide Association Study Confirms Previous Findings of Major Loci Affecting Resistance to Piscine myocarditis virus in Atlantic Salmon (Salmo salar L.)

Genes ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 608 ◽  
Author(s):  
Borghild Hillestad ◽  
Ólafur H. Kristjánsson ◽  
Shokouh Makvandi-Nejad ◽  
Hooman K. Moghadam
Keyword(s):  
Atlantic Salmon ◽  
Genome Wide Association Study ◽  
Additive Genetic Variance ◽  
Viral Disease ◽  
Causative Mutation ◽  
Class I Mhc ◽  
Mhc I ◽  
Mhc Ii ◽  
Genome Wide ◽  
Immune Related Genes

Cardiomyopathy syndrome is a viral disease of Atlantic salmon, mostly affecting fish during the late stages of production, resulting in significant losses to the industry. It has been shown that resistance to this disease has a strong genetic component, with quantitative trait loci (QTL) on chromosomes 27 (Ssa27) and Ssa12 to explain most of the additive genetic variance. Here, by analysing animals from a different year-class and a different population, we further aimed to confirm and narrow down the locations of these QTL. The data support the existence of the two QTL and suggest that the causative mutation on Ssa27 is most likely within the 10–10.5 Mbp segment of this chromosome. This region contains a cluster of major histocompatibility complex class I (MHC I) genes with the most strongly associated marker mapped to one of these loci. On Ssa12, the data confirmed the previous finding that the location of the causative mutation is within the 61.3 to 61.7 Mbp region. This segment contains several immune-related genes, but of particular interest are genes related to MHC II. Together, these findings highlight the likely key role of MHC genes in Atlantic salmon following infection with Piscine myocarditis virus (PMCV) and their potential impact on influencing the trajectory of this disease.

scholarly journals Genetic variation in recombination rate in the pig

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Martin Johnsson ◽  
Andrew Whalen ◽  
Roger Ros-Freixedes ◽  
Gregor Gorjanc ◽  
Ching-Yi Chen ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Recombination Rate ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Genetic Material ◽  
A Genome ◽  
Pig Genome ◽  
Genetic Length ◽  
Trait Locus ◽  
Genomic Regions

Abstract Background Meiotic recombination results in the exchange of genetic material between homologous chromosomes. Recombination rate varies between different parts of the genome, between individuals, and is influenced by genetics. In this paper, we assessed the genetic variation in recombination rate along the genome and between individuals in the pig using multilocus iterative peeling on 150,000 individuals across nine genotyped pedigrees. We used these data to estimate the heritability of recombination and perform a genome-wide association study of recombination in the pig. Results Our results confirmed known features of the recombination landscape of the pig genome, including differences in genetic length of chromosomes and marked sex differences. The recombination landscape was repeatable between lines, but at the same time, there were differences in average autosome-wide recombination rate between lines. The heritability of autosome-wide recombination rate was low but not zero (on average 0.07 for females and 0.05 for males). We found six genomic regions that are associated with recombination rate, among which five harbour known candidate genes involved in recombination: RNF212, SHOC1, SYCP2, MSH4 and HFM1. Conclusions Our results on the variation in recombination rate in the pig genome agree with those reported for other vertebrates, with a low but nonzero heritability, and the identification of a major quantitative trait locus for recombination rate that is homologous to that detected in several other species. This work also highlights the utility of using large-scale livestock data to understand biological processes.

scholarly journals A major quantitative trait locus affecting resistance to Tilapia lake virus in farmed Nile tilapia (Oreochromis niloticus)

Heredity ◽  
2021 ◽  
Author(s):  
Agustin Barría ◽  
Trọng Quốc Trịnh ◽  
Mahirah Mahmuddin ◽  
Carolina Peñaloza ◽  
Athina Papadopoulou ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Host Resistance ◽  
Oreochromis Niloticus ◽  
Nile Tilapia ◽  
Genome Wide Association Study ◽  
Snp Array ◽  
Genome Wide ◽  
A Genome ◽  
The Gift ◽  
Trait Locus

AbstractEnhancing host resistance to infectious disease has received increasing attention in recent years as a major goal of farm animal breeding programs. Combining field data with genomic tools can provide opportunities to understand the genetic architecture of disease resistance, leading to new opportunities for disease control. In the current study, a genome-wide association study was performed to assess resistance to the Tilapia lake virus (TiLV), one of the biggest threats affecting Nile tilapia (Oreochromis niloticus); a key aquaculture species globally. A pond outbreak of TiLV in a pedigreed population of the GIFT strain was observed, with 950 fish classified as either survivor or mortality, and genotyped using a 65 K SNP array. A significant QTL of large effect was identified on chromosome Oni22. The average mortality rate of tilapia homozygous for the resistance allele at the most significant SNP (P value = 4.51E−10) was 11%, compared to 43% for tilapia homozygous for the susceptibility allele. Several candidate genes related to host response to viral infection were identified within this QTL, including lgals17, vps52, and trim29. These results provide a rare example of a major QTL affecting a trait of major importance to a farmed animal. Genetic markers from the QTL region have potential in marker-assisted selection to improve host resistance, providing a genetic solution to an infectious disease where few other control or mitigation options currently exist.

scholarly journals Association Analysis Identifies New Loci for Resistance to Chinese Yr26-Virulent Races of the Stripe Rust Pathogen in a Diverse Panel of Wheat Germplasm

Plant Disease ◽  
2020 ◽  
Vol 104 (6) ◽  
pp. 1751-1762 ◽  
Author(s):  
Jianhui Wu ◽  
Xiaoting Wang ◽  
Nan Chen ◽  
Rui Yu ◽  
Shizhou Yu ◽  
...  
Keyword(s):  
Stripe Rust ◽  
Rust Resistance ◽  
Puccinia Striiformis ◽  
Snp Array ◽  
Stripe Rust Resistance ◽  
Phenotypic Effect ◽  
Breeding Programs ◽  
Stripe Rust Resistance Gene ◽  
Trait Locus ◽  
Yr Genes

Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is one of the most destructive fungal diseases of wheat worldwide. The expanding Yr26-virulent Pst race (V26) group overcomes almost all currently deployed resistance genes in China and has continued to accumulate new virulence. Investigating the genetic architecture of stripe rust resistance in common wheat is an important basis for a successful utilization of resistance in breeding programs. A panel of 410 exotic wheat germplasms was used for characterizing new stripe rust resistance loci. This panel was genotyped using high-density wheat 660K single-nucleotide polymorphism (SNP) array, and phenotypic evaluation of seedlings for stripe rust resistance was performed using multiple Pst races. Thirty-five loci conferring resistance were identified through genome-wide association mapping, and explained phenotypic variances ranged from 53 to 75%. Of these, 14 were colocated in the proximity of the known loci, including cataloged Yr genes Yr9, Yr10, Yr26, Yr33, Yr47, Yr56, Yr57, Yr64, Yr67, Yr72, and Yr81 and three temporarily designated as YrCen, YrNP63, and YrRC detected in our quantitative trait locus (QTL) mapping studies. Seven of them (Yr9, Yr10, Yr24/26, Yr81, YrCEN, YrNP63, and YrRC) were confirmed by molecular detection or genetic analysis. New loci that were identified to be different from reported Yr genes need further confirmation. Nine QTL with significantly large phenotypic effect on resistance to all tested races were considered as major loci for effective resistance. The identified loci enrich our stripe rust resistance gene pool, and the linked SNPs should be useful for marker-assisted selection in breeding programs.

Implementing molecular marker technology in forage improvement

2003 ◽  
pp. 229-238
Author(s):  
M. Faville ◽  
B. Barrett ◽  
A. Griffiths ◽  
M. Schreiber ◽  
C. Mercer ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Genetic Variation ◽  
White Clover ◽  
Simple Sequence Repeat ◽  
Sequence Repeat ◽  
Linkage Groups ◽  
Seedling Vigour ◽  
Genome Map ◽  
Trait Locus ◽  
Simple Sequence

Accelerated improvement of two cornerstones of New Zealand's pastoral industries, per ennial ryegrass (Lolium perenne L.) and white clover (Trifolium repens L.), may be realised through the application of markerassisted selection (MAS) strategies to enhance traditional plant breeding programmes. Genome maps constructed using molecular markers represent the enabling technology for such strategies and we have assembled maps for each species using EST-SSR markers - simple sequence repeat (SSR) markers developed from expressed sequence tags (ESTs) representing genes. A comprehensive map of the white clover genome has been completed, with 464 EST-SSR and genomic SSR marker loci spanning 1125 cM in total, distributed across 16 linkage groups. These have been further classified into eight pairs of linkage groups, representing contributions from the diploid progenitors of this tetraploid species. In perennial ryegrass a genome map based exclusively on EST-SSR loci was constructed, with 130 loci currently mapped to seven linkage groups and covering a distance of 391 cM. This map continues to be expanded with the addition of ESTSSR loci, and markers are being concurrently transferred to other populations segregating for economically significant traits. We have initiated gene discovery through quantitative trait locus (QTL) analysis in both species, and the efficacy of the white clover map for this purpose was demonstrated with the initial identification of multiple QTL controlling seed yield and seedling vigour. One QTL on linkage group D2 accounts for 25.9% of the genetic variation for seed yield, and a putative QTL accounting for 12.7% of the genetic variation for seedling vigour was detected on linkage group E1. The application of MAS to forage breeding based on recurrent selection is discussed. Keywords: genome map, marker-assisted selection, perennial ryegrass, QTL, quantitative trait locus, SSR, simple sequence repeat, white clover

scholarly journals Genome-Wide Analyses Identifies Known and New Markers Responsible of Chicken Plumage Color

Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 493
Author(s):  
Salvatore Mastrangelo ◽  
Filippo Cendron ◽  
Gianluca Sottile ◽  
Giovanni Niero ◽  
Baldassare Portolano ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Snp Array ◽  
Fixation Index ◽  
Phenotypic Traits ◽  
Plumage Color ◽  
Phenotypic Marker ◽  
Genome Wide ◽  
A Genome ◽  
The Difference ◽  
Genomic Regions

Through the development of the high-throughput genotyping arrays, molecular markers and genes related to phenotypic traits have been identified in livestock species. In poultry, plumage color is an important qualitative trait that can be used as phenotypic marker for breed identification. In order to assess sources of genetic variation related to the Polverara chicken breed plumage colour (black vs. white), we carried out a genome-wide association study (GWAS) and a genome-wide fixation index (FST) scan to uncover the genomic regions involved. A total of 37 animals (17 white and 20 black) were genotyped with the Affymetrix 600 K Chicken single nucleotide polymorphism (SNP) Array. The combination of results from GWAS and FST revealed a total of 40 significant markers distributed on GGA 01, 03, 08, 12 and 21, and located within or near known genes. In addition to the well-known TYR, other candidate genes have been identified in this study, such as GRM5, RAB38 and NOTCH2. All these genes could explain the difference between the two Polverara breeds. Therefore, this study provides the basis for further investigation of the genetic mechanisms involved in plumage color in chicken.

Genetic variation in susceptibility of Atlantic salmon to furunculosis

Aquaculture ◽  
1991 ◽  
Vol 97 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Trygve Gjedrem ◽  
Ragnar Salte ◽  
Hans Magnus Gjøen
Keyword(s):  
Genetic Variation ◽  
Atlantic Salmon

scholarly journals Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population

Genes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 117
Author(s):  
Donglin Ruan ◽  
Zhanwei Zhuang ◽  
Rongrong Ding ◽  
Yibin Qiu ◽  
Shenping Zhou ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Bone Growth ◽  
Genome Wide Association Study ◽  
Growth Traits ◽  
Average Daily Gain ◽  
Snp Array ◽  
Single Step ◽  
Economic Traits ◽  
Association Analyses ◽  
Genealogical Information

Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56–3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs.

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