scholarly journals High-density linkage map and QTLs for growth in snapper (Chrysophrys auratus)

2018 ◽  
Author(s):  
David T. Ashton ◽  
Peter A. Ritchie ◽  
Maren Wellenreuther
Keyword(s):  
Linkage Map ◽  
Genome Structure ◽  
Snp Markers ◽  
Biological Research ◽  
Phenotypic Traits ◽  
Strongly Correlated ◽  
Fish Family ◽  
Significant Qtls ◽  
Snp Data ◽  
Genome Wide

ABSTRACTCharacterizing the genetic variation underlying phenotypic traits is a central objective in biological research. This research has been hampered in the past by the limited genomic resources available for most non-model species. However, recent advances in sequencing technology and related genotyping methods are rapidly changing this. Here we report the use of genome-wide SNP data from the ecologically and commercially important marine fish species Chrysophrys auratus (snapper) to 1) construct the first linkage map for this species, 2) scan for growth QTLs, and 3) search for candidate genes in the surrounding QTL regions. The newly constructed linkage map contained ~11K SNP markers and is the densest map to date in the fish family Sparidae. Comparisons with available genome scaffolds indicated that overall marker placement was strongly correlated between the scaffolds and linkage map (R = 0.7), but at fine scales (< 5 cM) there were some precision limitations. Of the 24 linkage groups, which reflect the 24 chromosomes of this species, three were found to contain QTLs with genome-wide significance for growth-related traits. A scan for 13 known candidate growth genes located the genes for growth hormone, parvalbumin, and myogenin within 13.2, 2.6, and 5.0 cM of these genome-wide significant QTLs, respectively. The linkage map and QTLs found in this study will advance the investigation of genome structure and selective breeding in snapper.

DEVELOPMENT OF A C. CARDUNCULUS LINKAGE MAP BASED ON SRAP, SSR, SNP MARKERS AND LOCALIZATION OF PHENOTYPIC TRAITS

2013 ◽  
pp. 139-143
Author(s):  
E. Martin ◽  
E. Acquaviva ◽  
V. Cravero ◽  
E. Portis ◽  
D. Scaglione ◽  
...  
Keyword(s):  
Linkage Map ◽  
Snp Markers ◽  
Phenotypic Traits

scholarly journals A Chromosome-Scale Assembly of the En ormous (32 Gb) Axolotl Genome

2018 ◽  
Author(s):  
Jeramiah J. Smith ◽  
Nataliya Timoshevskaya ◽  
Vladimir A. Timoshevskiy ◽  
Melissa C. Keinath ◽  
Drew Hardy ◽  
...  
Keyword(s):  
Large Scale ◽  
Genome Structure ◽  
Large Deletion ◽  
Ambystoma Mexicanum ◽  
Biological Research ◽  
Genome Wide ◽  
Genetic Stocks ◽  
Gene Structures ◽  
And Function ◽  
Genome Assemblies

ABSTRACTThe axolotl (Ambystoma mexicanum) provides critical models for studying regeneration, evolution and development. However, its large genome (~32 gigabases) presents a formidable barrier to genetic analyses. Recent efforts have yielded genome assemblies consisting of thousands of unordered scaffolds that resolve gene structures, but do not yet permit large scale analyses of genome structure and function. We adapted an established mapping approach to leverage dense SNP typing information and for the first time assemble the axolotl genome into 14 chromosomes. Moreover, we used fluorescence in situ hybridization to verify the structure of these 14 scaffolds and assign each to its corresponding physical chromosome. This new assembly covers 27.3 gigabases and encompasses 94% of annotated gene models on chromosomal scaffolds. We show the assembly’s utility by resolving genome-wide orthologies between the axolotl and other vertebrates, identifying the footprints of historical introgression events that occurred during the development of axolotl genetic stocks, and precisely mapping several phenotypes including a large deletion underlying the cardiac mutant. This chromosome-scale assembly will greatly facilitate studies of the axolotl in biological research.

scholarly journals Whole-Genome Selective Scans Detect Genes Associated With Important Phenotypic Traits in Sheep (Ovis aries)

2021 ◽  
Vol 12 ◽  
Author(s):  
Song-Song Xu ◽  
Lei Gao ◽  
Min Shen ◽  
Fenghua Lyu
Keyword(s):  
Body Size ◽  
Gene Annotation ◽  
Ovis Aries ◽  
Meat Production ◽  
Phenotypic Traits ◽  
Domestic Sheep ◽  
Snp Data ◽  
Genome Wide ◽  
Genetic Mechanisms ◽  
Production Body

Sheep (Ovis aries) is one of the important livestock with diverse phenotypic traits. However, little is known about the molecular mechanism of diverse phenotypic traits in domestic sheep. Using the genome-wide high-density SNP data (600K) in 253 samples from 13 populations, we conducted the tests of selective sweeps (i.e., pairwise FST and XP-CLR) associated with several important phenotypic traits (e.g., tail types, horn morphology, prolificacy, coat pigmentation, ear size, milk production, meat production, body size and wool fineness). We identified strong selective signatures in previously reported (e.g., T, RXFP2, BMPR1B, TYRP1, MSRB3, TF, CEBPA, GPR21 and HOXC8) and novel genes associated with the traits, such as CERS6, BTG1, RYR3, SLC6A4, NNAT and OGT for fat deposition in the tails, FOXO4 for fertility, PTCH1 and EMX2 for ear size, and RMI1 and SCD5 for body size. Further gene annotation analysis showed that these genes were identified to be the most probable genes accounting for the diverse phenotypic traits. Our results provide novel insights into the genetic mechanisms underlying the traits and also new genetic markers for genetic improvement in sheep and other livestock.

scholarly journals Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α3.7I form of α-thalassaemia using genome-wide microarray data

2021 ◽  
Vol 5 ◽  
pp. 287
Author(s):  
Carolyne M. Ndila ◽  
Vysaul Nyirongo ◽  
Alexander W. Macharia ◽  
Anna E. Jeffreys ◽  
Kate Rowlands ◽  
...  
Keyword(s):  
Linkage Disequilibrium ◽  
Snp Markers ◽  
Gwas Data ◽  
Reliable Prediction ◽  
Broad Agreement ◽  
Snp Data ◽  
Genome Wide ◽  
Typing Methods ◽  
Potential Use ◽  
Rule Out

Background: The -α3.7I-thalassaemia deletion is very common throughout Africa because it protects against malaria. When undertaking studies to investigate human genetic adaptations to malaria or other diseases, it is important to account for any confounding effects of α-thalassaemia to rule out spurious associations. Methods: In this study, we have used direct α-thalassaemia genotyping to understand why GWAS data from a large malaria association study in Kilifi Kenya did not identify the α-thalassaemia signal. We then explored the potential use of a number of new approaches to using GWAS data for imputing α-thalassaemia as an alternative to direct genotyping by PCR. Results: We found very low linkage-disequilibrium of the directly typed data with the GWAS SNP markers around α-thalassaemia and across the haemoglobin-alpha (HBA) gene region, which along with a complex haplotype structure, could explain the lack of an association signal from the GWAS SNP data. Some indirect typing methods gave results that were in broad agreement with those derived from direct genotyping and could identify an association signal, but none were sufficiently accurate to allow correct interpretation compared with direct typing, leading to confusing or erroneous results. Conclusions: We conclude that going forwards, direct typing methods such as PCR will still be required to account for α-thalassaemia in GWAS studies.

scholarly journals Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α3.7I form of α-thalassaemia using genome-wide microarray data

2020 ◽  
Vol 5 ◽  
pp. 287
Author(s):  
Carolyne M. Ndila ◽  
Vysaul Nyirongo ◽  
Alexander W. Macharia ◽  
Anna E. Jeffreys ◽  
Kate Rowlands ◽  
...  
Keyword(s):  
Linkage Disequilibrium ◽  
Snp Markers ◽  
Gwas Data ◽  
Reliable Prediction ◽  
Broad Agreement ◽  
Snp Data ◽  
Genome Wide ◽  
Typing Methods ◽  
Potential Use ◽  
Rule Out

Background: The -α3.7I-thalassaemia deletion is very common throughout Africa because it protects against malaria. When undertaking studies to investigate human genetic adaptations to malaria or other diseases, it is important to account for any confounding effects of α-thalassaemia to rule out spurious associations. Methods: In this study we have used direct α-thalassaemia genotyping to understand why GWAS data from a large malaria association study in Kilifi Kenya did not identify the α-thalassaemia signal. We then explored the potential use of a number of new approaches to using GWAS data for imputing α-thalassaemia as an alternative to direct genotyping by PCR. Results: We found very low linkage-disequilibrium of the directly typed data with the GWAS SNP markers around α-thalassaemia and across the haemoglobin-alpha (HBA) gene region, which along with a complex haplotype structure, could explain the lack of an association signal from the GWAS SNP data. Some indirect typing methods gave results that were in broad agreement with those derived from direct genotyping and could identify an association signal, but none were sufficiently accurate to allow correct interpretation compared with direct typing, leading to confusing or erroneous results. Conclusions: We conclude that going forwards, direct typing methods such as PCR will still be required to account for α-thalassaemia in GWAS studies.

scholarly journals Genetic Mapping of Prince Rupprecht’s Larch (Larix principis-rupprechtii Mayr) by Specific-Locus Amplified Fragment Sequencing

Genes ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 583
Author(s):  
Dong ◽  
He ◽  
Zhao ◽  
Zhang ◽  
Yuan ◽  
...  
Keyword(s):  
Linkage Map ◽  
Genetic Map ◽  
Northern China ◽  
Snp Markers ◽  
Genome Sequence Assembly ◽  
Genome Wide ◽  
Larch Species ◽  
Genomics Research ◽  
Reference Map ◽  
Specific Locus

A high-density genetic linkage map is essential for plant genetics and genomics research. However, due to the deficiency of genomic data and high-quality molecular markers, no genetic map has been published for Prince Rupprecht’s larch (Larix principis-rupprechtii Mayr), a conifer species with high ecological and commercial value in northern China. In this study, 145 F1 progeny individuals from an intraspecific cross between two elite clones of L. principis-rupprechtii and their parents were employed to construct the first genetic map in this important tree species using specific-locus amplified fragment sequencing (SLAF-seq). After preprocessing, the procedure yielded 300.20 Gb of raw data containing 1501.22 M pair-end reads. A total of 324,352 SNP markers were detected and 122,785 of them were polymorphic, with a polymorphism rate of 37.86%. Ultimately, 6099 SNPs were organized into a genetic map containing 12 linkage groups, consistent with the haploid chromosome number of larch and most other species in the Pinaceae family. The linkage map spanned 2415.58 cM and covered 99.6% of the L. principis-rupprechtii genome with an average of 0.4 cM between adjacent markers. To the best of our knowledge, this map is the first reference map for L. principis-rupprechtii, as well as the densest one obtained in larch species thus far. The genome-wide SNPs and the high-resolution genetic map will provide a foundation for future quantitative trait loci mapping, map-based cloning, marker-assisted selection, comparative genomics, and genome sequence assembly for larch trees.

scholarly journals Genome-Wide SNP Markers for Genotypic and Phenotypic Differentiation of Melon (Cucumis melo L.) Varieties Using Genotyping-by-Sequencing

2021 ◽  
Vol 22 (13) ◽  
pp. 6722
Author(s):  
Do Yoon Hyun ◽  
Raveendar Sebastin ◽  
Gi-An Lee ◽  
Kyung Jun Lee ◽  
Seong-Hoon Kim ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Cucumis Melo ◽  
Systematic Approach ◽  
Genome Wide Association Study ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Phenotypic Traits ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
Cucumis Melo L

Melon (Cucumis melo L.) is an economically important horticultural crop with abundant morphological and genetic variability. Complex genetic variations exist even among melon varieties and remain unclear to date. Therefore, unraveling the genetic variability among the three different melon varieties, muskmelon (C. melo subsp. melo), makuwa (C. melo L. var. makuwa), and cantaloupes (C. melo subsp. melo var. cantalupensis), could provide a basis for evolutionary research. In this study, we attempted a systematic approach with genotyping-by-sequencing (GBS)-derived single nucleotide polymorphisms (SNPs) to reveal the genetic structure and diversity, haplotype differences, and marker-based varieties differentiation. A total of 6406 GBS-derived SNPs were selected for the diversity analysis, in which the muskmelon varieties showed higher heterozygote SNPs. Linkage disequilibrium (LD) decay varied significantly among the three melon varieties, in which more rapid LD decay was observed in muskmelon (r2 = 0.25) varieties. The Bayesian phylogenetic tree provided the intraspecific relationships among the three melon varieties that formed, as expected, individual clusters exhibiting the greatest genetic distance based on the posterior probability. The haplotype analysis also supported the phylogeny result by generating three major networks for 48 haplotypes. Further investigation for varieties discrimination allowed us to detect a total of 52 SNP markers that discriminated muskmelon from makuwa varieties, of which two SNPs were converted into cleaved amplified polymorphic sequence markers for practical use. In addition to these markers, the genome-wide association study identified two SNPs located in the genes on chromosome 6, which were significantly associated with the phenotypic traits of melon seed. This study demonstrated that a systematic approach using GBS-derived SNPs could serve to efficiently classify and manage the melon varieties in the genebank.

Construction of a genetic linkage map and QTL analysis in bambara groundnut

Genome ◽  
2016 ◽  
Vol 59 (7) ◽  
pp. 459-472 ◽  
Author(s):  
Nariman Salih Ahmad ◽  
Endah Sri Redjeki ◽  
Wai Kuan Ho ◽  
Siise Aliyu ◽  
Katie Mayes ◽  
...  
Keyword(s):  
Linkage Map ◽  
Qtl Analysis ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Bambara Groundnut ◽  
Phenotypic Traits ◽  
Phenotypic Effect ◽  
Significant Qtls ◽  
Breeding Populations ◽  
Breeding Programmes

Bambara groundnut (Vigna subterranea (L.) Verdc.) is an indigenous underutilized legume that has the potential to improve food security in semi-arid Africa. So far, there are a lack of reports of controlled breeding populations that could be used for variety development and genetic studies. We report here the construction of the first genetic linkage map of bambara groundnut using a F3 population derived from a “narrow” cross between two domesticated landraces (Tiga Nicuru and DipC) with marked divergence in phenotypic traits. The map consists of 238 DArT array and SSR based markers in 21 linkage groups with a total genetic distance of 608.3 cM. In addition, phenotypic traits were evaluated for a quantitative trait loci (QTL) analysis over two generations. A total of 36 significant QTLs were detected for 19 traits. The phenotypic effect explained by a single QTL ranged from 11.6% to 49.9%. Two stable QTLs were mapped for internode length and growth habit. The identified QTLs could be useful for marker-assisted selection in bambara groundnut breeding programmes.

scholarly journals Genome-wide SNP detection in Darjeeling tea: unravelling genetic structure, functional impact and trait associations

2020 ◽  
Author(s):  
Anjan Hazra ◽  
Rakesh Kumar ◽  
Chandan Sengupta ◽  
Sauren Das
Keyword(s):  
Genetic Relatedness ◽  
Sequence Data ◽  
Snp Markers ◽  
High Impact ◽  
Phenotypic Traits ◽  
Nucleotide Polymorphisms ◽  
Association Analyses ◽  
Genome Wide ◽  
Darjeeling Tea ◽  
Trait Associations

AbstractGenotyping by sequencing and identification of functionally relevant nucleotide variations in crop accessions are the key steps to unravel genetic control of desirable traits. In the scope of present work, elite cultivars of Darjeeling tea were undergone SNP genotyping by double-digest restriction site associated DNA sequencing method. This study reports a set of 54,206 high-quality SNP markers discovered from ∼10.4 GB sequence data, encompassing 15 chromosomes of reference tea genome. Genetic relatedness among the accessions conforms to the analyses of Bayesian clustering, UPGMA, and PCoA methods. High percent of heterozygous loci in the majority of the cultivars reflect their ‘hybrid’ ancestry as reported earlier. Genomic positions of the discovered SNPs and their putative effect on annotated genes designated a thoughtful understanding of their functional aspects in tea system biology. A group of 95 genes was identified to be affected by high impact variants, most of them are involved in signal transduction, biosynthesis of secondary metabolite, transcriptional and translational regulation. Genome-wide association analyses of 21 agronomic and biochemical phenotypes resulted in trait-linked polymorphic loci with strong confidence (p < 0.05 and 0.001). The selection of significant marker-trait associations with the Bonferroni correction threshold retained a set of 57 SNPs distributed across 14 chromosomes to be linked with eight phenotypic traits. High impact and trait-associated nucleotide polymorphisms perceived in this study can be exploited in worldwide germplasm of contrasting origin to depict their heritability and to unlock their potentiality in marker-assisted breeding.

Sign in / Sign up

Export Citation Format

Share Document