Evidence map›Paper›PMID 25196513›Full record

ArticleBMC genomics2014

Single nucleotide polymorphisms generated by genotyping by sequencing to characterize genome-wide diversity, linkage disequilibrium, and selective sweeps in cultivated watermelon.

Padma Nimmakayala, Amnon Levi, Lavanya Abburi, Venkata Lakshmi Abburi, Yan R Tomason, Thangasamy Saminathan, Venkata Gopinath Vajja, Sridhar Malkaram, Rishi Reddy, Todd C Wehner and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  18. Whole-genome resequencing ofHorticulture research · 2019
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Padma Nimmakayala
Amnon Levi
Lavanya Abburi
Venkata Lakshmi Abburi
Yan R Tomason
Thangasamy Saminathan
Venkata Gopinath Vajja
Sridhar Malkaram
Rishi Reddy
Todd C Wehner
Sharon E Mitchell
Umesh K ReddyGus R, Douglass Institute, Department of Biology, West Virginia State University, Dunbar, WV 25112-1000, USA. ureddy@wvstateu.edu.

Funding

WVU &MU NEW FACULTY GRANTSP20RR016477 · NCRR · MARSHALL UNIVERSITY · PI RANKIN, GARY O · 2001 to 2011
$35.5M
NCRR NIH HHS P20 RR016477NCRR NIH HHS P20RR016477
6 · The paper itself

Abstract

backgroundA large single nucleotide polymorphism (SNP) dataset was used to analyze genome-wide diversity in a diverse collection of watermelon cultivars representing globally cultivated, watermelon genetic diversity. The marker density required for conducting successful association mapping depends on the extent of linkage disequilibrium (LD) within a population. Use of genotyping by sequencing reveals large numbers of SNPs that in turn generate opportunities in genome-wide association mapping and marker-assisted selection, even in crops such as watermelon for which few genomic resources are available. In this paper, we used genome-wide genetic diversity to study LD, selective sweeps, and pairwise FST distributions among worldwide cultivated watermelons to track signals of domestication.

resultsWe examined 183 Citrullus lanatus var. lanatus accessions representing domesticated watermelon and generated a set of 11,485 SNP markers using genotyping by sequencing. With a diverse panel of worldwide cultivated watermelons, we identified a set of 5,254 SNPs with a minor allele frequency of ≥ 0.05, distributed across the genome. All ancestries were traced to Africa and an admixture of various ancestries constituted secondary gene pools across various continents. A sliding window analysis using pairwise FST values was used to resolve selective sweeps. We identified strong selection on chromosomes 3 and 9 that might have contributed to the domestication process. Pairwise analysis of adjacent SNPs within a chromosome as well as within a haplotype allowed us to estimate genome-wide LD decay. LD was also detected within individual genes on various chromosomes. Principal component and ancestry analyses were used to account for population structure in a genome-wide association study. We further mapped important genes for soluble solid content using a mixed linear model.

conclusionsInformation concerning the SNP resources, population structure, and LD developed in this study will help in identifying agronomically important candidate genes from the genomic regions underlying selection and for mapping quantitative trait loci using a genome-wide association study in sweet watermelon.

Indexed as

Genome, PlantPolymorphism, Single NucleotideChromosome MappingChromosomes, PlantCitrullusGene FrequencyGenome-Wide Association StudyGenotypeLinkage DisequilibriumPrincipal Component AnalysisSequence Analysis, DNA

Identifiers

PMID25196513
PMCPMC4246513

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.