Single-cell RNA sequencing of developing maize ears facilitates functional analysis and trait candidate gene discovery.

Single-cell RNA sequencing of developing maize ears facilitates functional analysis and trait candidate gene discovery.
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DOI:
10.1016/j.devcel.2020.12.015
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发表时间:
2021-02-22
期刊:
影响因子:
11.8
通讯作者:
Jackson D
Jackson D
中科院分区:
生物学1区
文献类型:
--
作者:
Xu X;Crow M;Rice BR;Li F;Harris B;Liu L;Demesa-Arevalo E;Lu Z;Wang L;Fox N;Wang X;Drenkow J;Luo A;Char SN;Yang B;Sylvester AW;Gingeras TR;Schmitz RJ;Ware D;Lipka AE;Gillis J;Jackson D

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Crop productivity depends on activity of meristems that produce optimized plant architectures, including that of the maize ear. A comprehensive understanding of development requires insight into the full diversity of cell types and developmental domains, and the gene networks required to specify them. Until now, these were identified primarily by morphology and insights from classical genetics, that are limited by genetic redundancy and pleiotropy. Here, we investigated the transcriptional profiles of 12,525 single cells from developing maize ears. The resulting developmental atlas provides a single-cell RNA sequencing (scRNA-seq) map of an inflorescence. We validated our results by mRNA in situ hybridization and by Fluorescence-Activated Cell Sorting (FACS) RNA-seq, and show how these data may facilitate genetic studies by predicting genetic redundancy, integrating transcriptional networks, and identifying candidate genes associated with crop yield traits. Xu et al. construct and validate a single-cell transcriptomic atlas of developing maize ears. Their single cell gene co-expression networks will facilitate developmental genetics studies by predicting genetic redundancy and revealing transcriptional regulatory networks. Their results also inform maize breeding by identifying candidate trait-associated genes.
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