ArticleGenome biology2015
Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 56 citations in OpenAlex.
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- Natural variation in regulatory code revealed through Bayesian analysis of plant pan-genomes and pan-transcriptomes.bioRxiv : the preprint server for biology · 2025Article
- Genome-wide association studies and genomic selection for leaf-related traits in maize.Frontiers in plant science · 2025Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Acquisition of host-derived carbon in biomass of the ectomycorrhizal fungus Pisolithus microcarpus is correlated to fungal carbon demand and plant defences.FEMS microbiology ecology · 2023Article
- BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize.The Plant cell · 2023Article
- A forward genetics approach integrating genome-wide association study and expression quantitative trait locus mapping to dissect leaf development in maize (Zea mays).The Plant journal : for cell and molecular biology · 2021Article
- QTL mapping of adult plant and seedling resistance to leaf rust (Puccinia triticina Eriks.) in a multiparent advanced generation intercross (MAGIC) wheat population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Cereal asparagine synthetase genes.The Annals of applied biology · 2021Article
- Using single-plant-omics in the field to link maize genes to functions and phenotypes.Molecular systems biology · 2020Article
- Leaf shape inEcology and evolution · 2020Article
- Enabling reusability of plant phenomic datasets with MIAPPE 1.1.The New phytologist · 2020Article
- Meta Gene Regulatory Networks in Maize Highlight Functionally Relevant Regulatory Interactions.The Plant cell · 2020Article
- Transcriptomic diversity in seedling roots of European flint maize in response to cold.BMC genomics · 2020Article
- Linking crop traits to transcriptome differences in a progeny population of tetraploid potato.BMC plant biology · 2020Article
- How grass keeps growing: an integrated analysis of hormonal crosstalk in the maize leaf growth zone.The New phytologist · 2020Article
- The Toolbox for Fiber Flax Breeding: A Pipeline From Gene Expression to Fiber Quality.Frontiers in genetics · 2020Article
- APETALA2 control of barley internode elongation.Development (Cambridge, England) · 2019Article
- Comparative transcriptome analysis provides key insights into seedling development in switchgrass (Biotechnology for biofuels · 2019Article
- Distinct tissue-specific transcriptional regulation revealed by gene regulatory networks in maize.BMC plant biology · 2018Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal. Although several approaches to identify genes and networks involved in final organ size have been proven successful, our understanding remains fragmentary.
resultsHere, we assessed variation in 103 lines of the Zea mays B73xH99 RIL population for a set of final leaf size and whole shoot traits at the seedling stage, complemented with measurements capturing growth dynamics, and cellular measurements. Most traits correlated well with the size of the division zone, implying that the molecular basis of final leaf size is already defined in dividing cells of growing leaves. Therefore, we searched for association between the transcriptional variation in dividing cells of the growing leaf and final leaf size and seedling biomass, allowing us to identify genes and processes correlated with the specific traits. A number of these genes have a known function in leaf development. Additionally, we illustrated that two independent mechanisms contribute to final leaf size, maximal growth rate and the duration of growth.
conclusionsUntangling complex traits such as leaf size by applying in-depth phenotyping allows us to define the relative contributions of the components and their mutual associations, facilitating dissection of the biological processes and regulatory networks underneath.
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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.