bioRxivPlant BiologyPreprint
A major chromosome 4 region modulates early vigor under chilling through brassinosteroid signaling associated genes in maize
Maxence JamesiD, Camille Clipet, Kristelle Lourgant, Benoît Decaux, Hélène Sellier-Richard, Delphine MaduriD, Sandra Silvia NegroiD, Stéphane NicolasiD, Renaud RincentiD, Alexandra Launay‐AvoniD, Christine Paysant Le Roux, Anca Lucau‐DanilaiD, Estelle GoulasiD, Andrea Rau, Catherine GiauffretiD
Abstract
AbstractEarly sowing is a key strategy to improve maize productivity and resilience under climate change, but it exposes plants to prolonged chilling stress that can severely compromise seedling establishment. While previous genetic studies have focused on germination or very early stages, tolerance to long-term chilling during the autotrophic transition remains poorly characterized. Here, we combined genome-wide association studies (GWAS) and transcriptome analysis on QTL near-isogenic lines (NILs) to dissect the genetic architecture of early vigor under chilling in maize. We identified a major genomic region on chromosome 4 (LD_COL4), harboring two QTLs within a 2.7 Mb interval, that were consistently associated with early vigor under long-term chilling conditions. Transcriptomic analysis of contrasted NILs revealed a cluster of differentially expressed genes co-localizing with LD_COL4, pointing to two strong candidate genes, Zm00001d048582, an ortholog of the Arabidopsis OPS gene that regulates the brassinosteroid (BR) signaling pathway upstream of the key transcription factors BES1 and BZR1, and Zm00001d048612, a brassinosteroid-signaling kinase (BSK). Multiple orthologs of BES1/BZR1 modulators were differentially expressed between genotypes under chilling, supporting the involvment of brassinosteroid signaling in this response. These findings highlight both genes as promising targets for marker-assisted breeding and gene editing to improve maize adaptation to early sowing.
- organism: zebrafish
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 1
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