scholarly journals Investigating Drought Tolerance in Chickpea Using Genome-Wide Association Mapping and Genomic Selection Based on Whole-Genome Resequencing Data

2018 ◽  
Vol 9 ◽  
Author(s):  
Yongle Li ◽  
Pradeep Ruperao ◽  
Jacqueline Batley ◽  
David Edwards ◽  
Tanveer Khan ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Association Mapping ◽  
Genomic Selection ◽  
Genome Wide Association ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Genome Wide ◽  
Whole Genome Resequencing

scholarly journals A Y-linked anti-Müllerian hormone type-II receptor is the sex-determining gene in ayu, Plecoglossus altivelis

PLoS Genetics ◽  
2021 ◽  
Vol 17 (8) ◽  
pp. e1009705
Author(s):  
Masatoshi Nakamoto ◽  
Tsubasa Uchino ◽  
Eriko Koshimizu ◽  
Yudai Kuchiishi ◽  
Ryota Sekiguchi ◽  
...  
Keyword(s):  
Genotyping By Sequencing ◽  
Genome Wide Association ◽  
Whole Genome ◽  
Type Ii ◽  
Genome Resequencing ◽  
Plecoglossus Altivelis ◽  
Genome Wide ◽  
Males And Females ◽  
Whole Genome Resequencing ◽  
Male Specific

Whole-genome duplication and genome compaction are thought to have played important roles in teleost fish evolution. Ayu (or sweetfish), Plecoglossus altivelis, belongs to the superorder Stomiati, order Osmeriformes. Stomiati is phylogenetically classified as sister taxa of Neoteleostei. Thus, ayu holds an important position in the fish tree of life. Although ayu is economically important for the food industry and recreational fishing in Japan, few genomic resources are available for this species. To address this problem, we produced a draft genome sequence of ayu by whole-genome shotgun sequencing and constructed linkage maps using a genotyping-by-sequencing approach. Syntenic analyses of ayu and other teleost fish provided information about chromosomal rearrangements during the divergence of Stomiati, Protacanthopterygii and Neoteleostei. The size of the ayu genome indicates that genome compaction occurred after the divergence of the family Osmeridae. Ayu has an XX/XY sex-determination system for which we identified sex-associated loci by a genome-wide association study by genotyping-by-sequencing and whole-genome resequencing using wild populations. Genome-wide association mapping using wild ayu populations revealed three sex-linked scaffolds (total, 2.03 Mb). Comparison of whole-genome resequencing mapping coverage between males and females identified male-specific regions in sex-linked scaffolds. A duplicate copy of the anti-Müllerian hormone type-II receptor gene (amhr2bY) was found within these male-specific regions, distinct from the autosomal copy of amhr2. Expression of the Y-linked amhr2 gene was male-specific in sox9b-positive somatic cells surrounding germ cells in undifferentiated gonads, whereas autosomal amhr2 transcripts were detected in somatic cells in sexually undifferentiated gonads of both genetic males and females. Loss-of-function mutation for amhr2bY induced male to female sex reversal. Taken together with the known role of Amh and Amhr2 in sex differentiation, these results indicate that the paralog of amhr2 on the ayu Y chromosome determines genetic sex, and the male-specific amh-amhr2 pathway is critical for testicular differentiation in ayu.

scholarly journals Genome-Wide Association Mapping and Genomic Selection for Alfalfa (Medicago sativa) Forage Quality Traits

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169234 ◽  
Author(s):  
Elisa Biazzi ◽  
Nelson Nazzicari ◽  
Luciano Pecetti ◽  
E. Charles Brummer ◽  
Alberto Palmonari ◽  
...  
Keyword(s):  
Association Mapping ◽  
Medicago Sativa ◽  
Genomic Selection ◽  
Forage Quality ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Genome Wide ◽  
Selection For

scholarly journals Genome-Wide Association Studies and Genomic Selection for Grain Protein Content Stability in a Nested Association Mapping Population of Spring Wheat

2021 ◽  
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions, and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, 'Berkut', was phenotyped over three years of field trials (2014-2016). Genomic selection models were developed and compared based on prediction of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from Finlay-Wilkinson regression. A genome-wide association study identified seven significant QTLs for GPC stability with a Bonferroni-adjusted P value <0.05. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

scholarly journals Genomic Selection and Genome-Wide Association Studies for Grain Protein Content Stability in a Nested Association Mapping Population of Wheat

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2528
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H. Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by the environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, ‘Berkut’, was phenotyped over three years of field trials (2014–2016). Genomic selection models were developed and compared based on predictions of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from a Finlay–Wilkinson regression. A genome-wide association study identified eighteen significant QTLs for GPC stability with a Bonferroni-adjusted p-value < 0.05 using four different models and out of these eighteen QTLs eight were identified by two or more GWAS models simultaneously. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

scholarly journals Whole genome resequencing data enables a targeted SNP panel for conservation and aquaculture of Oreochromis cichlid fishes

2021 ◽  
Author(s):  
Adam Ciezarek ◽  
Antonia Ford ◽  
Graham Etherington ◽  
Kasozi Nasser ◽  
Milan Malinsky ◽  
...  
Keyword(s):  
Native Species ◽  
Cichlid Fish ◽  
Snp Markers ◽  
Whole Genome ◽  
The Novel ◽  
Genome Resequencing ◽  
Genome Wide ◽  
In The Wild ◽  
Snp Panel ◽  
Whole Genome Resequencing

Cichlid fish of the genus Oreochromis form the basis of the global tilapia aquaculture and fisheries industry. Non-native farmed tilapia populations are known to be widely distributed across Africa and to hybridize with native Oreochromis species. However, many species are difficult to distinguish morphologically, hampering attempts to maintain good quality farmed strains or to identify pure populations of native species. Here, we describe the development of a single nucleotide polymorphism (SNP) genotyping panel from whole-genome resequencing data that enables targeted species identification in Tanzania. We demonstrate that an optimized panel of 96 genome-wide SNPs based on FST outliers performs comparably to whole genome resequencing in distinguishing species and identifying hybrids. We also show this panel outperforms microsatellite-based and phenotype-based classification methods. Case studies indicate several locations where introduced aquaculture species have become established in the wild, threatening native Oreochromis species. The novel SNP markers identified here represent an important resource for assessing broodstock purity and helping to conserve unique endemic biodiversity, and in addition potentially for assessing broodstock purity in hatcheries.

scholarly journals Whole-genome resequencing confirms reproductive isolation between sympatric demes of brown trout (Salmo trutta) detected with allozymes

2021 ◽  
Author(s):  
Atal Saha ◽  
Anastasia Andersson ◽  
Sara Kurland ◽  
Naomi Keehnen ◽  
Verena Esther Kutschera ◽  
...  
Keyword(s):  
Reproductive Isolation ◽  
Brown Trout ◽  
Genetic Divergence ◽  
Salmo Trutta ◽  
Sequence Data ◽  
Whole Genome ◽  
Similar Data ◽  
Genome Resequencing ◽  
Genome Wide ◽  
Whole Genome Resequencing

The sympatric existence of genetically distinct populations of the same species remains a puzzle in ecology. Coexisting salmonid fish populations are known from over 100 freshwater lakes. Most studies of sympatric populations have used limited numbers of genetic markers making it unclear if genetic divergence involves only certain parts of the genome. We return to the first reported case of salmonid sympatry, initially detected through contrasting homozygosity at a single allozyme locus (lactate dehydrogenase, LDH-A1) in brown trout in the small Lakes Bunnersjöarna, central Sweden. We use DNA from samples collected in the 1970s and a 96 SNP fluidigm array to verify the existence of the coexisting demes. We then apply whole-genome resequencing of pooled DNA to explore genome-wide diversity within and between these demes; strong genetic divergence is observed with genome-wide FST=0.13. Nucleotide diversity is estimated to 0.0013 in Deme I but only 0.0005 in Deme II. Individual whole-genome resequencing of two individuals per deme suggests considerably higher inbreeding in Deme II vs. Deme I. Comparing with similar data from other lakes we find that the genome-wide divergence between the demes is similar to that between reproductively isolated populations. We located two genes for LDH-A and found divergence between the demes in a regulatory section of one of the genes, but we could not find a perfect fit between allozyme and sequence data. Our data demonstrate genome-wide divergence governed by genetic drift and diversifying selection, confirming reproductive isolation between the sympatric demes.

scholarly journals Whole-genome resequencing of honeybee drones to detect genomic selection in a population managed for royal jelly

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
David Wragg ◽  
Maria Marti-Marimon ◽  
Benjamin Basso ◽  
Jean-Pierre Bidanel ◽  
Emmanuelle Labarthe ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Royal Jelly ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Whole Genome Resequencing

scholarly journals Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection

2015 ◽  
Vol 38 (5) ◽  
pp. 466-473 ◽  
Author(s):  
Jung-Woo Choi ◽  
Bong-Hwan Choi ◽  
Seung-Hwan Lee ◽  
Seung-Soo Lee ◽  
Hyeong-Cheol Kim ◽  
...  
Keyword(s):  
Whole Genome ◽  
Genome Resequencing ◽  
Genome Wide ◽  
Signatures Of Selection ◽  
Whole Genome Resequencing

scholarly journals Direct genome-wide identification of G-quadruplex structures by whole-genome resequencing

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jing Tu ◽  
Mengqin Duan ◽  
Wenli Liu ◽  
Na Lu ◽  
Yue Zhou ◽  
...  
Keyword(s):  
Whole Genome ◽  
Genome Resequencing ◽  
Detection Rates ◽  
Genome Wide ◽  
G Quadruplex ◽  
Sequencing Quality ◽  
Whole Genome Resequencing ◽  
Public Datasets ◽  
User Friendly ◽  
The Given

AbstractWe present a user-friendly and transferable genome-wide DNA G-quadruplex (G4) profiling method that identifies G4 structures from ordinary whole-genome resequencing data by seizing the slight fluctuation of sequencing quality. In the human genome, 736,689 G4 structures were identified, of which 45.9% of all predicted canonical G4-forming sequences were characterized. Over 89% of the detected canonical G4s were also identified by combining polymerase stop assays with next-generation sequencing. Testing using public datasets of 6 species demonstrated that the present method is widely applicable. The detection rates of predicted canonical quadruplexes ranged from 32% to 58%. Because single nucleotide variations (SNVs) influence the formation of G4 structures and have individual differences, the given method is available to identify and characterize G4s genome-wide for specific individuals.

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