Evidence map›Paper›PMID 41922990›Full record

ArticleBMC plant biology2026

Deciphering germination rate differences in quinoa genotypes via integrated phenotypic, structural, and transcriptomic approaches.

Jianxun Huang, Yulai Zhang, Xinhui Yang, Chengqi Yang, Yan Zhao, Jiayi Shi, Aixia Ren, Pengcheng Ding, Hafeez Noor, Xiangyun Wu and 4 more

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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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14 authors.

Jianxun HuangCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Yulai ZhangCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Xinhui YangCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Chengqi YangCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Yan ZhaoCollege of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China.
Jiayi ShiCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Aixia RenCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Pengcheng DingCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Hafeez NoorCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Xiangyun WuShanxi Jiaqi Agri-Tech Co., Ltd., Taiyuan, 030006, China.
Sumera AnwarDepartment of Botany, Government College Women University, Faisalabad, Pakistan.
Zhiqiang GaoCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Min SunCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China.
Linghong LiCollege of Agriculture, Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan, 030031, China. lilinghong00en@163.com.

Funding

Postdoctoral Special Grant Project of Shanxi Province 6K255520003379Shanxi Province key lab construction Z135050009017-2-8Taigu District Functional Agriculture Industry Four-chain Integration Service Platform Construction Program 2306-140726-89-03-431428the Scientific Research Project of Shanxi Province Outstanding Doctoral Work Award Fund SXBYKY2022022
6 · The paper itself

Abstract

backgroundQuinoa (Chenopodium quinoa Willd.) is a nutritionally valuable and stress-tolerant crop in which seed germination plays a critical role in seedling establishment and yield formation. However, the integrated regulatory mechanisms underlying genotypic variation in germination are not yet fully understood. Most existing studies have focused on phenotypic traits or single-omics approaches, leaving a knowledge gap in systematic analyses that combine seed coat architecture, hormone dynamics, transcriptomics, and gene co-expression networks.

resultsPhenotypic analysis showed that WT seeds achieved 100% germination at 12 h, while the moderately germination‑defective TF and the severely germination-defective TS mutants reached 92% and 29.33%, respectively. Seed coat characterization revealed that the palisade layer thickness was 13.31 μm in WT, increasing to 16.66 μm in TF and 20.07 μm in TS. Hormone dynamics monitoring indicated that GA₃ content in WT peaked at 1.859 ng·g⁻¹ at 8 h of imbibition, with a GA₃/ABA ratio of 0.53. In contrast, GA₃ levels in the TS mutant remained below 0.200 ng·g⁻¹ throughout, and the GA₃/ABA ratio stayed under 0.05. Transcriptomic and WGCNA analyses identified the Tan module, positively correlated with germination rate (r = 0.89), and the Black module, negatively correlated (r = - 0.60), and screened hub genes within the regulatory network. These results demonstrate that the coordinated actions of seed coat structure, hormone homeostasis, and transcriptional programming collectively determine the germination performance of different quinoa genotypes.

conclusionsThis study provides multi-dimensional integrated data for deciphering the regulatory mechanisms of quinoa seed germination, and systematically clarifies how seed coat structure, hormone dynamics, and transcriptional networks synergistically regulate the germination process. These findings deepen our understanding of the biological basis of quinoa seed germination and establish a solid foundation for future functional studies and molecular improvement of germination-related traits in quinoa.

Indexed as

Chenopodium quinoaGerminationTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantGenotypePhenotypePlant Growth RegulatorsSeedsPlant Growth RegulatorsGermination mutantsHormonesSeed coat structureTranscriptome analysisWGCNA

Identifiers

PMID41922990
PMCPMC13555991

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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.