Evidence map›Paper›PMID 29952048›Full record

ArticleThe Plant journal : for cell and molecular biology2018

The genetic architecture of genome-wide recombination rate variation in allopolyploid wheat revealed by nested association mapping.

Katherine W Jordan, Shichen Wang, Fei He, Shiaoman Chao, Yanni Lun, Etienne Paux, Pierre Sourdille, Jamie Sherman, Alina Akhunova, Nancy K Blake and 5 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

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64citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

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  14. Accumulation ofFrontiers in plant science · 2025
    Article
  15. Drought-tolerant wheat for enhancing global food security.Functional & integrative genomics · 2024
    Review
  16. A new winter wheat genetic resource harbors untapped diversity from synthetic hexaploid wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  17. Article
  18. Article
  19. Identification of structural variations related to drought tolerance in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  20. Article

4 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Katherine W JordanDepartment of Plant Pathology, Kansas State University, Manhattan, KS, USA.ORCID 0000-0003-1323-6824
Shichen WangDepartment of Plant Pathology, Kansas State University, Manhattan, KS, USA.
Fei HeDepartment of Plant Pathology, Kansas State University, Manhattan, KS, USA.
Shiaoman ChaoUSDA-ARS Cereal Crops Research Unit, 1605 Albrecht Blvd N, Fargo, ND, USA.
Yanni LunDepartment of Plant Pathology, Kansas State University, Manhattan, KS, USA.
Etienne PauxINRA GDEC Auvergne-Rhône-Alpes, Clermont-Ferrand, France.
Pierre SourdilleINRA GDEC Auvergne-Rhône-Alpes, Clermont-Ferrand, France.
Jamie ShermanMontana State University, Bozeman, MT, USA.
Alina AkhunovaIntegrated Genomics Facility, Kansas State University, Manhattan, KS, USA.
Nancy K BlakeMontana State University, Bozeman, MT, USA.
Michael O PumphreyDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, USA.
Karl GloverDepartment of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA.
Jorge DubcovskyDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Luther TalbertMontana State University, Bozeman, MT, USA.
Eduard D AkhunovDepartment of Plant Pathology, Kansas State University, Manhattan, KS, USA.ORCID 0000-0002-0416-5211

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling of genetic information. Understanding the genetic basis of these constraints is critical for manipulating the recombination process to improve the resolution of genetic mapping, and reducing the negative effects of linkage drag and deleterious genetic load in breeding. Using sequence-based genotyping of a wheat nested association mapping (NAM) population of 2,100 recombinant inbred lines created by crossing 29 diverse lines, we mapped QTL affecting the distribution and frequency of 102 000 crossovers (CO). Genome-wide recombination rate variation was mostly defined by rare alleles with small effects together explaining up to 48.6% of variation. Most QTL were additive and showed predominantly trans-acting effects. The QTL affecting the proximal COs also acted additively without increasing the frequency of distal COs. We showed that the regions with decreased recombination carry more single nucleotide polymorphisms (SNPs) with possible deleterious effects than the regions with a high recombination rate. Therefore, our study offers insights into the genetic basis of recombination rate variation in wheat and its effect on the distribution of deleterious SNPs across the genome. The identified trans-acting additive QTL can be utilized to manipulate CO frequency and distribution in the large polyploid wheat genome opening the possibility to improve the efficiency of gene pyramiding and reducing the deleterious genetic load in the low-recombining pericentromeric regions of chromosomes.

Indexed as

PolyploidyAllelesChromosome MappingGenetic VariationGenome, PlantGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociRecombination, GeneticTriticumcrossoversdeleterious SNPsinterstitial CO QTLnested association mappingpolyploid wheatrecombination rate

Identifiers

PMID29952048
PMCPMC6174997

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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.