ArticleMolecular & cellular proteomics : MCP2019
Characterization of Proteome Variation During Modern Maize Breeding.
Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics revolution to promote plant breeding efficiency.Frontiers in plant science · 2022Pooled it
- AI-integrated digital breeding for crop improvement.Frontiers in plant science · 2026Review
- Insights into the genomic divergence of maize heterotic groups in China.Journal of integrative plant biology · 2025Article
- Integrative multi-omics analysis reveals the translational landscape of the plant-parasitic nematode Meloidogyne incognita.Communications biology · 2025Article
- Transcriptional and translational landscape fine-tune genome annotation and explores translation control in cotton.Journal of advanced research · 2024Article
- Effects of Climate Change and Drought Tolerance on Maize Growth.Plants (Basel, Switzerland) · 2023Review
- Mapping of QTLs for morphophysiological and yield traits under water-deficit stress and well-watered conditions in maize.Frontiers in plant science · 2023Article
- Multiomic Approaches Reveal Hormonal Modulation and Nitrogen Uptake and Assimilation in the Initial Growth of Maize Inoculated withPlants (Basel, Switzerland) · 2022Article
- Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function.eLife · 2022Article
- A pan-Zea genome map for enhancing maize improvement.Genome biology · 2022Article
- Variation in upstream open reading frames contributes to allelic diversity in maize protein abundance.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- To the proteome and beyond: advances in single-cell omics profiling for plant systems.Plant physiology · 2022Article
- Mining novel kernel size-related genes by pQTL mapping and multi-omics integrative analysis in developing maize kernels.Plant biotechnology journal · 2021Article
- Large-scale translatome profiling annotates the functional genome and reveals the key role of genic 3' untranslated regions in translatomic variation in plants.Plant communications · 2021Article
- Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Genetic dissection of maize drought tolerance for trait improvement.Molecular breeding : new strategies in plant improvement · 2021Review
- Temporal Regulation of the Metabolome and Proteome in Photosynthetic and Photorespiratory Pathways Contributes to Maize Heterosis.The Plant cell · 2020Article
- A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize.Genome research · 2020Article
- 5Gs for crop genetic improvement.Current opinion in plant biology · 2020Review
- Article
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11 authors.
Funding
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Abstract
The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively studied, our knowledge is limited regarding the accordance of protein and mRNA expression levels accompanying such adaptation. Here we conducted an integrative analysis of proteomic and transcriptomic changes in a maize association panel. The minimum extent of correlation between protein and RNA levels suggests that variation in mRNA expression is often not indicative of protein expression at a population scale. This is corroborated by the observation that mRNA- and protein-based coexpression networks are relatively independent of each other, and many pQTLs arise without the presence of corresponding eQTLs. Importantly, compared with transcriptome, the subtypes categorized by the proteome show a markedly high accuracy to resemble the genomic subpopulation. These findings suggest that proteome evolved under a greater evolutionary constraint than transcriptome during maize adaptation from tropical to temperate regions. Overall, the integrated multi-omics analysis provides a functional context to interpret gene expression variation during modern maize breeding.
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