scholarly journals QTL Mapping of Quality Related Traits in Peanut Using Whole-Genome Resequencing

2021 ◽  
Author(s):  
Ziqi Sun ◽  
Feiyan Qi ◽  
Hua Liu ◽  
Li Qin ◽  
Jing Xu ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Fatty Acid ◽  
Protein Content ◽  
Genomic Region ◽  
High Density ◽  
Whole Genome ◽  
Missense Mutations ◽  
Genome Resequencing ◽  
Phenotypic Effect ◽  
Whole Genome Resequencing

Abstract Background: Oil and protein content, as well as fatty acid composition, are important quality traits in peanut. Elucidating the genetic mechanisms underlying these traits may help researchers to obtain improved cultivars through molecular breeding techniques.Results: Whole-genome resequencing of an RIL population of 318 lines was performed to construct a high-density linkage map and identify QTLs for peanut quality. The map, containing 4561 bin markers, covered a length of 2032.39 cM with an average marker density of 0.45 cM. A total of 109 QTLs for oil content, protein content, and fatty acid compositions were mapped on the 18 peanut chromosomes. The QTL qA05.1 was detected in four different environments and exhibited a major phenotypic effect on the content of oil, proteins, and six fatty acids. The genomic region spanned by qA05.1, corresponding to a physical interval of approximately 1.50 Mb, contains two polymorphic SNPs between two parents that could cause missense mutations. The two SNP sites were employed as KASP markers and validated using lines with extremely high and low oil contents; these sites may be useful in the marker-assisted breeding of peanut varieties with high oil contents.Conclusions: A high-density genetic map with 4561 bin markers was constructed, and a major and pleiotropic QTL located on LG05 was stably detected for oil, protein and fatty acids across four different environments.

scholarly journals High-density genetic map using whole-genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut

2018 ◽  
Vol 16 (11) ◽  
pp. 1954-1967 ◽  
Author(s):  
Gaurav Agarwal ◽  
Josh Clevenger ◽  
Manish K. Pandey ◽  
Hui Wang ◽  
Yaduru Shasidhar ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Candidate Gene ◽  
Genetic Map ◽  
Fine Mapping ◽  
Gene Discovery ◽  
High Density ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Whole Genome Resequencing

scholarly journals High-Density Mapping and Candidate Gene Analysis of Pl18 and Pl20 in Sunflower by Whole-Genome Resequencing

2020 ◽  
Vol 21 (24) ◽  
pp. 9571
Author(s):  
Guojia Ma ◽  
Qijian Song ◽  
Xuehui Li ◽  
Lili Qi
Keyword(s):  
Candidate Gene ◽  
High Density ◽  
Chromosome 8 ◽  
Reference Sequence ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Putative Gene ◽  
Density Mapping ◽  
New Genes ◽  
Whole Genome Resequencing

Downy mildew (DM) is one of the severe biotic threats to sunflower production worldwide. The inciting pathogen, Plasmopara halstedii, could overwinter in the field for years, creating a persistent threat to sunflower. The dominant genes Pl18 and Pl20 conferring resistance to known DM races have been previously mapped to 1.5 and 1.8 cM intervals on sunflower chromosomes 2 and 8, respectively. Utilizing a whole-genome resequencing strategy combined with reference sequence-based chromosome walking and high-density mapping in the present study, Pl18 was placed in a 0.7 cM interval on chromosome 2. A candidate gene HanXRQChr02g0048181 for Pl18 was identified from the XRQ reference genome and predicted to encode a protein with typical NLR domains for disease resistance. The Pl20 gene was placed in a 0.2 cM interval on chromosome 8. The putative gene with the NLR domain for Pl20, HanXRQChr08g0210051, was identified within the Pl20 interval. SNP markers closely linked to Pl18 and Pl20 were evaluated with 96 diverse sunflower lines, and a total of 13 diagnostic markers for Pl18 and four for Pl20 were identified. These markers will facilitate to transfer these new genes to elite sunflower lines and to pyramid these genes with broad-spectrum DM resistance in sunflower breeding.

scholarly journals Construction of A High-Density Genetic Map and Mapping of Fruit Traits in Watermelon (Citrullus Lanatus L.) Based on Whole-Genome Resequencing

2018 ◽  
Vol 19 (10) ◽  
pp. 3268 ◽  
Author(s):  
Bingbing Li ◽  
Xuqiang Lu ◽  
Junling Dou ◽  
Ali Aslam ◽  
Lei Gao ◽  
...  
Keyword(s):  
Genetic Map ◽  
Citrullus Lanatus ◽  
Snp Markers ◽  
High Density ◽  
Whole Genome ◽  
Nucleotide Polymorphism ◽  
Genome Resequencing ◽  
Single Nucleotide ◽  
Parental Lines ◽  
Whole Genome Resequencing

Watermelon (Citrullus lanatus L.) is an important horticultural crop that is grown worldwide and has a high economic value. To dissect the loci associated with important horticultural traits and to analyze the genetic and genomic information of this species, a high-density genetic map was constructed based on whole-genome resequencing (WGR), a powerful high-resolution method for single-nucleotide polymorphism (SNP) marker development, genetic map construction, and gene mapping. Resequencing of both parental lines and 126 recombinant inbred lines (RIL) resulted in the detection of 178,762 single-nucleotide polymorphism (SNP) markers in the parental lines at a sequencing depth greater than four-fold. Additionally, 2132 recombination bin markers comprising 103,029 SNP markers were mapped onto 11 linkage groups (LGs). Substantially more SNP markers were mapped to the genetic map compared with other recent studies. The total length of the linkage map was 1508.94 cM, with an average distance of 0.74 cM between adjacent bin markers. Based on this genetic map, one locus for fruit bitterness, one locus for rind color, and one locus for seed coat color with high LOD scores (58.361, 18.353, 26.852) were identified on chromosome 1, chromosome 8, and chromosome 3, respectively. These prominent loci were identified in a region of 6.16 Mb, 2.07 Mb, and 0.37 Mb, respectively. On the basis of current research, the high-density map and mapping results will provide a valuable tool for identifying candidate genes, map-based gene cloning, comparative mapping, and marker-assisted selection (MAS) in watermelon breeding.

scholarly journals Contrasting whole-genome and reduced representation sequencing for population demographic inference: an alpine mammal example

2022 ◽  
Author(s):  
Daria Martchenko ◽  
Aaron Shafer
Keyword(s):  
Isolation By Distance ◽  
Demographic History ◽  
Genomic Region ◽  
Whole Genome ◽  
Summary Statistics ◽  
Effective Population ◽  
Genome Resequencing ◽  
Reduced Representation ◽  
Whole Genome Resequencing ◽  
Population Demographic

Genomic approaches to the study of population demography rely on accurate SNP calling and by-proxy the site frequency spectrum (SFS). Two main questions for the design of such studies remain poorly investigated: do reduced genomic sequencing summary statistics reflect that of whole genome, and how do sequencing strategies and derived summary statistics impact demographic inferences? To address those questions, we applied the ddRAD sequencing approach to 254 individuals and whole genome resequencing approach to 35 mountain goat (Oreamnos americanus) individuals across the species range with a known demographic history. We identified SNPs with 5 different variant callers and used ANGSD to estimate the genotype likelihoods (GLs). We tested combinations of SNP filtering by linkage disequilibrium (LD), minor allele frequency (MAF) and the genomic region. We compared the resulting suite of summary statistics reflective of the SFS and quantified the relationship to demographic inferences by estimating the contemporary effective population size (Ne), isolation-by-distance and population structure, FST, and explicit modelling of the demographic history with δaδi. Filtering had a larger effect than sequencing strategy, with the former strongly influencing summary statistics. Estimates of contemporary Ne and isolation-by-distance patterns were largely robust to the choice of sequencing, pipeline, and filtering. Despite the high variance in summary statistics, whole genome and reduced representation approaches were overall similar in supporting a glacial induced vicariance and low Ne in mountain goats. We discuss why whole genome resequencing data is preferable, and reiterate support the use of GLs, in part because it limits user-determined filters.

scholarly journals Construction of a High-Density Genetic Map for Pitaya Using the Whole Genome Resequencing Approach

Horticulturae ◽  
2021 ◽  
Vol 7 (12) ◽  
pp. 534
Author(s):  
Zhijiang Wu ◽  
Haiyan Deng ◽  
Guidong Liang ◽  
Xiaoying Ye ◽  
Yonghua Qin ◽  
...  
Keyword(s):  
Linkage Map ◽  
Genetic Map ◽  
Snp Markers ◽  
High Density ◽  
Genetic Maps ◽  
Fleshy Fruit ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Hylocereus Undatus ◽  
Whole Genome Resequencing

Pitaya (Hylocereus undatus) is one of the most economic fleshy fruit tree crops. This study aimed at producing a high-density linkage genetic map of pitaya based on the whole genome resequencing (WGrS) approach. For this purpose, a bi-parental F1 population of 198 individuals was generated and genotyped by WGrS. High-quality polymorphic 6434 single polymorphism nucleotide (SNP) markers were extracted and used to construct a high-density linkage map. A total of 11 linkage groups were resolved as expected in accordance with the chromosome number. The map length was 14,128.7 cM with an average SNP interval of 2.2 cM. Homology with the sequenced reference genome was described, and the physical and genetic maps were compared with collinearity analysis. This linkage map in addition to the available genomic resources will help for quantitative trait mapping, evolutionary studies and marker-assisted selection in the important Hylocereus species.

scholarly journals Whole-Genome Resequencing of Near-Isogenic Lines Reveals a Genomic Region Associated with High Trans-Lycopene Contents in Watermelon

Plants ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Siyoung Lee ◽  
Girim Park ◽  
Yunseo Choi ◽  
Seoyeon Park ◽  
Hoytaek Kim ◽  
...  
Keyword(s):  
Genomic Region ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
Near Isogenic Lines ◽  
Genome Resequencing ◽  
Isogenic Lines ◽  
Genome Wide ◽  
Donor Parent ◽  
Caps Markers ◽  
Whole Genome Resequencing

Trans-lycopene is a functional phytochemical abundant in red-fleshed watermelons, and its contents vary among cultivars. In this study, the genetic basis of high trans-lycopene contents in scarlet red flesh was evaluated. Three near-isogenic lines (NILs) with high trans-lycopene contents were derived from the scarlet red-fleshed donor parent DRD and three coral red-fleshed (low trans-lycopene contents) recurrent parents. The lycopene contents of DRD (589.4 ± 71.8 µg/g) were two times higher than that of the recurrent parents, and values for NILs were intermediate between those of the parents. Coral red-fleshed lines and F1 cultivars showed low trans-lycopene contents (135.7 ± 18.0 µg/g to 213.7 ± 39.5 µg/g). Whole-genome resequencing of two NILs and their parents and an analysis of genome-wide single-nucleotide polymorphisms revealed three common introgressed regions (CIRs) on chromosomes 6, 9, and 10. Twenty-eight gene-based cleaved amplified polymorphic sequence (CAPS) markers were developed from the CIRs. The CAPS markers derived from CIR6 on chromosome 6, spanning approximately 1 Mb, were associated (R2 = 0.45–0.72) with the trans-lycopene contents, particularly CIR6-M1 and CIR6-M4. Our results imply that CIR6 is a major genomic region associated with variation in the trans-lycopene contents in red-fleshed watermelon, and CIR6-M1 and CIR6-M4 may be useful for marker-assisted selection.

scholarly journals Analysis of Whole Genome Resequencing Datasets from a Worldwide Sample of Sheep Breeds to Identify Potential Causal Mutations Influencing Milk Composition Traits

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1542
Author(s):  
Héctor Marina ◽  
Beatriz Gutiérrez-Gil ◽  
Cristina Esteban-Blanco ◽  
Aroa Suárez-Vega ◽  
Rocío Pelayo ◽  
...  
Keyword(s):  
Milk Composition ◽  
Future Research ◽  
Domestic Sheep ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Phenotypic Effect ◽  
Milk Fatty Acids ◽  
Cheese Making ◽  
Sheep Breeds ◽  
Whole Genome Resequencing

Different studies have shown that polymorphisms in the sequence of genes coding for the milk proteins and milk fatty acids are associated with milk composition traits as well as with cheese-making traits. However, the lack of coincident results across sheep populations has prevented the use of this information in sheep breeding programs. The main objective of this study was to exploit the information derived from a total of 175 whole genome resequencing (WGR) datasets from 43 domestic sheep breeds and three wild sheep to evaluate the genetic diversity of 24 candidate genes for milk composition and identify genetic variants with a potential phenotypic effect. The functional annotation of the identified variants highlighted five single nucleotide polymorphisms (SNPs) predicted to have a high impact on the protein function and 42 missense SNPs with a putative deleterious effect. When comparing the allelic frequencies at these 47 polymorphisms with relevant functional effects between the genomes of Assaf and Churra sheep breeds, two missense deleterious variants were identified as potential markers associated to the milk composition differences found between the Churra and Assaf: XDH:92215727C>T and LALBA:137390760T>C. Future research is required to confirm the effect of the potential functionally relevant variants identified in the present study on milk composition and cheese-making traits.

scholarly journals Construction of a High-Density Genetic Map via Genome Resequencing and QTL Detection for Key Fiber Traits in Asiatic Cotton

2020 ◽  
Author(s):  
Yaohua Li ◽  
Tong Mo ◽  
Lingfang Ran ◽  
Jianyan Zeng ◽  
Chuannan Wang ◽  
...  
Keyword(s):  
Genetic Map ◽  
High Density ◽  
Phenotypic Variance ◽  
Whole Genome ◽  
Qtl Detection ◽  
Genome Resequencing ◽  
Asiatic Cotton ◽  
Ril Population ◽  
Fiber Traits ◽  
Whole Genome Resequencing

Abstract Background: Asiatic cotton (Gossypium arboreum, genome A2) is one of diploid cotton species producing spinnable fibers. However, few studies on the genetic mechanism of key fiber traits of Asiatic cotton have been reported. Sequencing technology advancement and the release of Asiatic cotton genome made it possible to construct a high-density SNP genetic map and further untapped QTL detection.Results: The Asiatic cotton cultivars SXY No.1 and CSLZ were crossed to develop a recombinant inbred line (RIL) population with 189 lines. Whole genome resequencing technology was employed to construct a high-density genetic map that covered 1980.17 cM with an average distance of 0.61 cM between adjacent markers. Based on fiber quality and yield component trait data from three environments, a total of 177 QTL were identified for 8 key fiber traits explaining 5.0-37.4% of the phenotypic variance. Besides, 48 stable QTL, including 15 for upper quartile length (UQL), 18 for fiber fineness (FF), 1 for immature fiber content (IFC), 4 for fiber neps count (FNC), 3 for lint percentage (LP), 7 for seed index (SI), were detected in more than one environment.Conclusions: Using a RIL population and whole genome resequencing strategy, this study presented a high-density genetic map of G. arboreum and identified 48 stable QTL for 6 key fiber traits (UQL, FF, IFC, FNC, LP, SI). Our work laid solid foundation for subsequent fine mapping of QTL for key fiber traits and cloning of controlling genes.

scholarly journals Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits

2021 ◽  
Vol 12 ◽  
Author(s):  
James Sweet-Jones ◽  
Vasileios Panagiotis Lenis ◽  
Andrey A. Yurchenko ◽  
Nikolay S. Yudin ◽  
Martin Swain ◽  
...  
Keyword(s):  
Coat Color ◽  
Local Environment ◽  
Meat Production ◽  
Whole Genome ◽  
Missense Mutations ◽  
Genome Resequencing ◽  
Sheep Breeds ◽  
Livestock Breeding ◽  
Whole Genome Resequencing ◽  
Upland Pasture

BackgroundAdvances in genetic tools applied to livestock breeding has prompted research into the previously neglected breeds adapted to harsh local environments. One such group is the Welsh mountain sheep breeds, which can be farmed at altitudes of 300 m above sea level but are considered to have a low productive value because of their poor wool quality and small carcass size. This is contrary to the lowland breeds which are more suited to wool and meat production qualities, but do not fare well on upland pasture. Herein, medium-density genotyping data from 317 individuals representing 15 Welsh sheep breeds were used alongside the whole-genome resequencing data of 14 breeds from the same set to scan for the signatures of selection and candidate genetic variants using haplotype- and SNP-based approaches.ResultsHaplotype-based selection scan performed on the genotyping data pointed to a strong selection in the regions of GBA3, PPARGC1A, APOB, and PPP1R16B genes in the upland breeds, and RNF24, PANK2, and MUC15 in the lowland breeds. SNP-based selection scan performed on the resequencing data pointed to the missense mutations under putative selection relating to a local adaptation in the upland breeds with functions such as angiogenesis (VASH1), anti-oxidation (RWDD1), cell stress (HSPA5), membrane transport (ABCA13 and SLC22A7), and insulin signaling (PTPN1 and GIGFY1). By contrast, genes containing candidate missense mutations in the lowland breeds are related to cell cycle (CDK5RAP2), cell adhesion (CDHR3), and coat color (MC1R).ConclusionWe found new variants in genes with potentially functional consequences to the adaptation of local sheep to their environments in Wales. Knowledge of these variations is important for improving the adaptative qualities of UK and world sheep breeds through a marker-assisted selection.

Sign in / Sign up

Export Citation Format

Share Document