Evidence map›Paper›PMID 27379519›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2016

Analysis of recombination QTLs, segregation distortion, and epistasis for fitness in maize multiple populations using ultra-high-density markers.

Chunhui Li, Yongxiang Li, Yunsu Shi, Yanchun Song, Dengfeng Zhang, Edward S Buckler, Zhiwu Zhang, Yu Li, Tianyu Wang

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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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

9 authors at 3 institutions in 2 countries.

Chunhui LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yongxiang LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yunsu ShiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yanchun SongInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dengfeng ZhangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Edward S BucklerInstitute for Genomic Diversity, Cornell University, Ithaca, NY, USA.
Zhiwu ZhangInstitute for Genomic Diversity, Cornell University, Ithaca, NY, USA.
Yu LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. liyu03@caas.cn.
Tianyu WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. wangtianyu@263.net.
Chinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CNCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageUsing two nested association mapping populations and high-density markers, some important genomic regions controlling recombination frequency and segregation distortion were detected. Understanding the maize genomic features would be useful for the study of genetic diversity and evolution and for maize breeding. Here, we used two maize nested association mapping (NAM) populations separately derived in China (CN-NAM) and the US (US-NAM) to explore the maize genomic features. The two populations containing 36 families and about 7000 recombinant inbred lines were evaluated with genotyping-by-sequencing. Through the comparison between the two NAMs, we revealed that segregation distortion is little, whereas epistasis for fitness is present in the two maize NAM populations. When conducting quantitative trait loci (QTL) mapping for the total number of recombination events, we detected 14 QTLs controlling recombination. Using high-density markers to identify segregation distortion regions (SDRs), a total of 445 SDRs were detected within the 36 families, among which 15 common SDRs were found in at least ten families. About 80 % of the known maize gametophytic factors (ga) genes controlling segregation distortion were overlapped with highly significant SDRs. In addition, we also found that the regions with high recombination rate and high gene density usually tended to have little segregation distortion. This study will facilitate population genetic studies and gene cloning affecting recombination variation and segregation distortion in maize, which can improve plant breeding progress.

Indexed as

Epistasis, GeneticGenetic MarkersQuantitative Trait LociRecombination, GeneticChromosome MappingGenetic FitnessGenetic VariationGenome, PlantGenotypeGenotyping TechniquesZea maysGenetic Markers

Identifiers

PMID27379519
OpenAlexW2460668393

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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.