ArticlePlant physiology2022
ggComp enables dissection of germplasm resources and construction of a multiscale germplasm network in wheat.
Article in Plant physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Introgressed Variation in TaMYB7-A1 Drives Graded Dormancy and Climate-Adaptive Pre-Harvest Sprouting Resistance in Wheat.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.Plant communications · 2026Review
- Natural Variation of TaSG-D1-TaWRKY53 Module Regulates Heading Date in Wheat.Plant biotechnology journal · 2026Article
- Pangenome identification and functional characterization of AHL genes in wheat (Triticum aestivum L.) reveal the role of TaAHL67 in grain weight regulation.BMC plant biology · 2025Article
- Natural variation in CHELATASE SUBUNIT I-A increases grain weight and enhances wheat yield.The Plant cell · 2025Article
- TaWUS-like-5D affects grain weight and filling by inhibiting the expression of sucrose and trehalose metabolism-related genes in wheat grain endosperm.Plant biotechnology journal · 2025Article
- A comprehensive map of DNA-segment copy number variation in 491 genomes of common wheat uncovers genes associated with multiple agronomic traits.Plant communications · 2025Article
- Article
- lcQTH: Rapid quantitative trait mapping by tracing parental haplotypes with ultra-low-coverage sequencing.Plant communications · 2024Article
- Genomic-wide analysis reveals seven in absentia genes regulating grain development in wheat (Triticum aestivum L.).The plant genome · 2024Article
- Tagging large CNV blocks in wheat boosts digitalization of germplasm resources by ultra-low-coverage sequencing.Genome biology · 2024Article
- CRISPR-targeted mutagenesis of mitogen-activated protein kinase phosphatase 1 improves both immunity and yield in wheat.Plant biotechnology journal · 2024Article
- Genome-wide identification, gene expression and haplotype analysis of the rhomboid-like gene family in wheat (Triticum aestivum L.).The plant genome · 2024Article
- Genomic insights into the origin and evolution of spelt (Triticum spelta L.) as a valuable gene pool for modern wheat breeding.Plant communications · 2024Article
- Genome‑wide identification and expression analysis of the UBC gene family in wheat (Triticum aestivum L.).BMC plant biology · 2024Article
- Review
- Genome-wide identification and analysis of the GGCT gene family in wheat.BMC genomics · 2024Article
- Genetic mapping and identification of Rht8-B1 that regulates plant height in wheat.BMC plant biology · 2023Article
- TaTPP-7A positively feedback regulates grain filling and wheat grain yield through T6P-SnRK1 signalling pathway and sugar-ABA interaction.Plant biotechnology journal · 2023Article
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Authors and funding
19 authors.
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Abstract
Accurate germplasm characterization is a vital step for accelerating crop genetic improvement, which remains largely infeasible for crops such as bread wheat (Triticum aestivum L.), which has a complex genome that undergoes frequent introgression and contains many structural variations. Here, we propose a genomic strategy called ggComp, which integrates resequencing data with copy number variations and stratified single-nucleotide polymorphism densities to enable unsupervised identification of pairwise germplasm resource-based Identity-By-Descent (gIBD) blocks. The reliability of ggComp was verified in wheat cultivar Nongda5181 by dissecting parental-descent patterns represented by inherited genomic blocks. With gIBD blocks identified among 212 wheat accessions, we constructed a multi-scale genomic-based germplasm network. At the whole-genome level, the network helps to clarify pedigree relationship, demonstrate genetic flow, and identify key founder lines. At the chromosome level, we were able to trace the utilization of 1RS introgression in modern wheat breeding by hitchhiked segments. At the single block scale, the dissected germplasm-based haplotypes nicely matched with previously identified alleles of "Green Revolution" genes and can guide allele mining and dissect the trajectory of beneficial alleles in wheat breeding. Our work presents a model-based framework for precisely evaluating germplasm resources with genomic data. A database, WheatCompDB (http://wheat.cau.edu.cn/WheatCompDB/), is available for researchers to exploit the identified gIBDs with a multi-scale network.
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