Evidence map›Paper›PMID 36266506›Full record

ArticleNature genetics2022

Genome sequencing reveals evidence of adaptive variation in the genus Zea.

Lu Chen, Jingyun Luo, Minliang Jin, Ning Yang, Xiangguo Liu, Yong Peng, Wenqiang Li, Alyssa Phillips, Brenda Cameron, Julio S Bernal and 25 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
20.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The dynamics of introgression and parallel adaptation across North AmericanProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Hybrid origin and phenotype evolution of the modern maize.Journal of integrative plant biology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genomic reconstruction of upland cotton domestication uncovers staged selection, gene flow, and flowering-time adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genomic diversity and the domestication history of cotton (Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Review

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

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

35 authors at 11 institutions in 3 countries.

Lu Chen *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Jingyun Luo *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Minliang Jin *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Ning Yang *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. ningy@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-6354-3534
Xiangguo LiuInstitute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Yong PengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Wenqiang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Alyssa PhillipsCenter for Population Biology, University of California Davis, Davis, CA, USA.
Brenda CameronDepartment of Evolution and Ecology, University of California Davis, Davis, CA, USA.
Julio S BernalDepartment of Entomology, Texas A&M University, College Station, TX, USA.
Rubén Rellán-ÁlvarezDepartment of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, USA.ORCID http://orcid.org/0000-0001-6843-3716
Ruairidh J H SawersDepartment of Plant Science, The Pennsylvania State University, State College, PA, USA.
Qing LiuInstitute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Yuejia YinInstitute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Xinnan YeInstitute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Jiali YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0003-0295-6594
Qinghua ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiaoting ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Shenshen WuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Songtao GuiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Wenjie WeiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0003-4105-9693
Yuebin WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yun LuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Chenglin JiangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Min DengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Min JinNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Liumei JianNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yanhui YuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Maolin ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiaohong YangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Matthew B HuffordDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA.ORCID http://orcid.org/0000-0003-3945-1143
Alisdair R FernieDepartment of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID http://orcid.org/0000-0001-9000-335X
Marilyn L WarburtonUnited States Department of Agriculture-Agricultural Research Service: Western Regional Plant Introduction Station, Washington State University, Pullman, WA, USA.ORCID http://orcid.org/0000-0002-9542-9912
Jeffrey Ross-IbarraDepartment of Evolution and Ecology, Center for Population Biology, Genome Center, University of California Davis, Davis, CA, USA. rossibarra@ucdavis.edu.ORCID http://orcid.org/0000-0003-1656-4954
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. yjianbing@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0001-8650-7811
Huazhong Agricultural University · CNJilin Academy of Agricultural Sciences · CNUniversity of California, Davis · USChina Agricultural University · CNChinese Academy of Sciences · CNIowa State University · USMax Planck Institute of Molecular Plant Physiology · DENorth Carolina State University · USPennsylvania State University · USTexas A&M University · USUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize is a globally valuable commodity and one of the most extensively studied genetic model organisms. However, we know surprisingly little about the extent and potential utility of the genetic variation found in wild relatives of maize. Here, we characterize a high-density genomic variation map from 744 genomes encompassing maize and all wild taxa of the genus Zea, identifying over 70 million single-nucleotide polymorphisms. The variation map reveals evidence of selection within taxa displaying novel adaptations. We focus on adaptive alleles in highland teosinte and temperate maize, highlighting the key role of flowering-time-related pathways in their adaptation. To show the utility of variants in these data, we generate mutant alleles for two flowering-time candidate genes. This work provides an extensive sampling of the genetic diversity of Zea, resolving questions on evolution and identifying adaptive variants for direct use in modern breeding.

Indexed as

Plant BreedingZea maysAdaptation, PhysiologicalAllelesBase SequenceGenetic Variation

Identifiers

PMID36266506
OpenAlexW4306941917

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.