Unverified paper record
Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems
21 Aug 2024 · 10.1101/2024.08.20.608626
Abstract
Maize is pivotal in supporting global agriculture and addressing food security challenges. Crop root systems are critical for water uptake and nutrient acquisition, which impacts yield. Quantitative trait phenotyping is essential to understand better the genetic factors underpinning maize root growth and development. Root systems are challenging to phenotype given their below-ground, soil-bound nature. In addition, manual trait annotations of root images are tedious and can lead to inaccuracies and inconsistencies between individuals, resulting in data discrepancies. To address these issues, we have developed an automated phenotyping pipeline for field-grown maize crown roots by leveraging open-source software. Phenotypic variation of 20 maize genotypes from the Wisconsin Diversity panel was significant for numerous root traits, suggesting a genetic basis for the observed developmental deviations. In addition, juvenile root traits from controlled environment conditions exhibited inconsistent correlation with field-grown adult root traits, underscoring the developmental plasticity prevalent during maize root morphogenesis. Transcripts involved in hormone signaling and stress responses were among differentially expressed genes in roots from 20 maize genotypes, suggesting many molecular processes may underlie the observed phenotypic variance. This study furthers our understanding of genotype-phenotype relationships, which is relevant for informing agricultural strategies to improve maize root physiology.
Plant phenotyping relevance
圃場栽培トウモロコシの冠根形質を抽出する自動フェノタイピング・パイプラインの開発が研究の中心であり、根形質測定を遺伝子型比較に適用しているため。
abstractwe have developed an automated phenotyping pipeline for field-grown maize crown roots by leveraging open-source software.
abstractQuantitative trait phenotyping is essential to understand better the genetic factors underpinning maize root growth and development.
Code and data availability
The supplied blocks describe a maize crown root phenotyping pipeline (RootPainter, RhizoVision, ImageJ) and transcriptomic analysis, and reference a public crown root image dataset (Kelley et al. 2024) and supplemental tables, but no block contains an explicit data/code availability statement with an authors' public de
No evidence-backed public reproduction asset is currently recorded.
This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.