A high density genetic map by whole-genome resequencing for QTL fine-mapping and dissecting candidate genes for growth or sex traits in the pearl oyster (Pinctada fucata martensii)

Berry firmness is one of the most important quality traits in table grapes. The underlying molecular and genetic mechanisms for berry firmness remain unclear. We constructed a high-density genetic map based on whole-genome resequencing to identify loci associated with berry firmness. The genetic map had 19 linkage groups, including 1662 bin markers (26,039 SNPs), covering 1463.38 cM, and the average inter-marker distance was 0.88 cM. An analysis of berry firmness in the F1 population and both parents for three consecutive years revealed continuous variability in F1, with a distribution close to the normal distribution. Based on the genetic map and phenotypic data, three potentially significant quantitative trait loci (QTLs) related to berry firmness were identified by composite interval mapping. The contribution rate of each QTL ranged from 21.5% to 28.6%. We identified four candidate genes associated with grape firmness, which are related to endoglucanase, abscisic acid (ABA), and transcription factors. A qRT-PCR analysis revealed that the expression of abscisic-aldehyde oxidase-like gene (VIT_18s0041g02410) and endoglucanase 3 gene (VIT_18s0089g00210) in Muscat Hamburg was higher than in Crimson Seedless at the veraison stage, which was consistent with that of parent berry firmness. These results confirmed that VIT_18s0041g02410 and VIT_18s0089g00210 are candidate genes associated with berry firmness.

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

International Journal of Molecular Sciences ◽

10.3390/ijms19103268 ◽

2018 ◽

Vol 19 (10) ◽

pp. 3268 ◽

Cited By ~ 7

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.

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

Horticulturae ◽

10.3390/horticulturae7120534 ◽

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.

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

10.21203/rs.3.rs-53461/v1 ◽

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.

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

10.21203/rs.3.rs-138961/v1 ◽

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.

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Fine-mapping QTLs and the validation of candidate genes for Aluminum tolerance using a high-density genetic map

Plant and Soil ◽

10.1007/s11104-019-04261-0 ◽

2019 ◽

Vol 444 (1-2) ◽

pp. 119-137 ◽

Cited By ~ 1

Author(s):

Zhandong Cai ◽

Yanbo Cheng ◽

Peiqi Xian ◽

Rongbin Lin ◽

Qiuju Xia ◽

...

Keyword(s):

Candidate Genes ◽

Genetic Map ◽

Fine Mapping ◽

Aluminum Tolerance ◽

High Density

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QTL fine mapping for intramuscular fat and fatty acid composition using high-density SNP chip array on SSC12 in Korean native pig × Yorkshire F2 population

Czech Journal of Animal Science ◽

10.17221/50/2018-cjas ◽

2019 ◽

Vol 64 (No. 4) ◽

pp. 180-188

Author(s):

Sangwook Kim ◽

Byeonghwi Lim ◽

Kwansuk Kim ◽

Kyoungtag Do

Keyword(s):

Fatty Acid Composition ◽

Fatty Acid ◽

Candidate Genes ◽

Acid Composition ◽

Fine Mapping ◽

Intramuscular Fat ◽

Economic Benefits ◽

High Density ◽

Chromosome 12 ◽

Qtl Fine Mapping

Intramuscular fat (IMF) and fatty acid composition are characteristics that are used as important indicators of evaluating high quality pork and contribute to the economic benefits of the pig farming industry. In this study, quantitative trait loci (QTL) fine mapping of chromosome 12 was performed in a population of F2 intercross between Yorkshire (YS) and Korean native pigs (KNPs) by adopting combined linkage and linkage disequilibrium method using high-density SNP chips. QTLs for IMF (H3GA0034813 to H3GA0034965) and oleic acid (C18:1) (ASGA0054380 to ALGA0066299) were located at 120 cM (54.112–57.610 kb) and 85 cM (36.097–38.601 kb), respectively, within chromosome 12 (Sscrofa11.1 genomic reference). In addition, 31 candidate genes present within the IMF QTL region and 28 candidate genes existing within C18:1 QTL region were chosen. In order to understand the function of these candidate genes at the molecular level, these candidate genes were functionally categorized by studying gene ontology and analyzing network and pathway. Among the 59 candidate genes within the region of IMF QTL and C18:1 QTL, five (MYH1, MYH2, MYH4, ACACA, and RPS6KB1) directly interacting candidate genes were found. Furthermore, the RPS6KB1 gene was assumed to be an important candidate gene that is involved in leptin and insulin signaling pathway and participates in controlling adipogenic differentiation, fat deposition, and fatty acid composition, which is related to obesity of pigs.

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