Evidence map›Paper›PMID 41470052›Full record

ReviewJournal of integrative plant biology2026

Hybrid origin and phenotype evolution of the modern maize.

Shuai Yuan, Yongzhi Yang, Yuqi Zhang, Yanli Wei, Xinhao Yao, Jing Cai, Tao Chen, Jin Zhang, Zhenda Xu, Jianbing Yan and 1 more

Abstract readReview
In one paragraph

Review in Journal of integrative plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Hybrid origin and phenotype evolution of the modern maize.Journal of integrative plant biology · 2026
    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

11 authors.

Shuai YuanState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0000-0002-1458-3425
Yongzhi YangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0000-0001-6912-6718
Yuqi ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0006-0952-6449
Yanli WeiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0003-6079-1369
Xinhao YaoState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0004-3460-7262
Jing CaiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0000-0001-8979-7463
Tao ChenState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0000-7304-5793
Jin ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0007-8365-4112
Zhenda XuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0009-0009-0821-9238
Jianbing YanNational Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.ORCID https://orcid.org/0000-0001-8650-7811
Jianquan LiuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.ORCID https://orcid.org/0000-0002-4237-7418

Funding

Technology Projects of Xizang Autonomous Region, China XZ202402ZD0005
6 · The paper itself

Abstract

The domestication of crops originates from their wild ancestors and typically begins with the selection of phenotypes carrying specific alleles within wild populations. Subsequently, artificial hybridization and the retention of novel mutations introduce new alleles, leading to the continual creation of new phenotypes. The modern maize (Zea mays L.), as one of the most important food crops worldwide, has long attracted significant attention from researchers regarding its domestication and origin. In this review, we have summarized the related advances in clarifying hybrid origin and identifying related genes and allelic origins in maize. Modern maize was initially domesticated from Zea mays ssp. parviglumis approximately 9,000 years ago, followed by hybridization with Z. mays ssp. mexicana around 6,000 years ago, which gave rise to the modern maize lineage. Modern maize, as a hybrid lineage, possesses extensive genetic admixture that serves as the foundation for its phenotypic diversity and wide adaptability to various cultivation environments. Compared to ssp. parviglumis and mexicana, the unique phenotypes of maize were shaped through the selection of allelic combinations from both ancestors and/or the accumulation of novel mutations. Elite alleles from both ancestors hold significant value for biotic and abiotic stress resistance. Identifying these alleles and the underlying molecular mechanisms and incorporating them into modern breeding programs could facilitate the development of new maize germplasm with enhanced adaptability to today's changing environments and improved agricultural productivity.

Indexed as

Biological EvolutionHybridization, GeneticZea maysAllelesPhenotypeallelesdomesticationhybrid originphenotypesZea maysZ. mays ssp. mexicanaZ. mays ssp. parviglumis

Identifiers

PMID41470052
PMCPMC13446610

What Socratic 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 Socratic graph.