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Dynamic transcriptome landscape of developing maize ear

delete2023-09-20
delete5
PRE
AI
X
Xiaomeng Shen
B
Bing Xiao
T
Tangnur Kaderbek
林
林真 (Zhen Lin)
K
Kaiwen Tan
Q
Qingyu Wu
L
Lixing Yuan
J
Jinsheng Lai
赵海铭 封面图
赵海铭 (Haiming Zhao)
宋伟彬 封面图
宋伟彬 (Weibin Song) *
DOI:10.1111/tpj.16457delete
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摘要

摘要

En 中文
Seed number and harvesting ability in maize (Zea mays L.) are primarily determined by the architecture of female inflorescence, namely the ear. Therefore, ear morphogenesis contributes to grain yield and as such is one of the key target traits during maize breeding. However, the molecular networks of this highly dynamic and complex grain-bearing inflorescence remain largely unclear. As a first step toward characterizing these networks, we performed a high-spatio-temporal-resolution investigation of transcriptomes using 130 ear samples collected from developing ears with length from 0.1 mm to 19.0 cm. Comparisons of these mRNA populations indicated that these spatio-temporal transcriptomes were clearly separated into four distinct stages stages I, II, III, and IV. A total of 23 793 genes including 1513 transcription factors (TFs) were identified in the investigated developing ears. During the stage I of ear morphogenesis, 425 genes were predicted to be involved in a co-expression network established by eight hub TFs. Moreover, 9714 ear-specific genes were identified in the seven kinds of meristems. Additionally, 527 genes including 59 TFs were identified as especially expressed in ear and displayed high temporal specificity. These results provide a high-resolution atlas of gene activity during ear development and help to unravel the regulatory modules associated with the differentiation of the ear in maize.
Keyword:
ear development
high-spatio-temporal resolution transcriptome
Zea mays L

期刊

Plant Journal 封面图
Plant Journal
IF:
5.7
论文数:
1.1W
被引数:
5.8W

机构

I
institute of agricultural resources & regional planning, caas
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1.5K
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C
china agricultural university
学者数:
5.1W
论文数: 3.0W
被引数: 43
C
chinese academy of agricultural sciences
学者数:
5.0W
论文数: 3.0W
被引数: 43
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