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An expanded maize gene expression atlas based on RNA sequencing and its use to explore root development

Journal Article · · The Plant Genome
 [1];  [2];  [3];  [4];  [3];  [5];  [5]
  1. Univ. of Wisconsin, Madison, WI (United States); Univ Wisconsin, Dept Agron, 1575 Linden Dr, Madison, WI 53706 USA
  2. Clemson Univ., Clemson, SC (United States)
  3. Michigan State Univ., East Lansing, MI (United States); DOE Great Lakes Bioenergy Research Center, East Lansing, MI (United States)
  4. Univ. of Minnesota, St. Paul, MN (United States)
  5. Univ. of Wisconsin, Madison, WI (United States); DOE Great Lakes Bioenergy Research Center, Madison, WI (United States)

Comprehensive and systematic transcriptome profiling provides valuable insight into biological and developmental processes that occur throughout the life cycle of a plant. We have enhanced our previously published microarray-based gene atlas of maize (Zea mays L.) inbred B73 to now include 79 distinct replicated samples that have been interrogated using RNA sequencing (RNA-seq). The current version of the atlas includes 50 original array-based gene atlas samples, a time-course of 12 stalk and leaf samples postflowering, and an additional set of 17 samples from the maize seedling and adult root system. The entire dataset contains 4.6 billion mapped reads, with an average of 20.5 million mapped reads per biological replicate, allowing for detection of genes with lower transcript abundance. As the new root samples represent key additions to the previously examined tissues, we highlight insights into the root transcriptome, which is represented by 28,894 (73.2%) annotated genes in maize. Additionally, we observed remarkable expression differences across both the longitudinal (four zones) and radial gradients (cortical parenchyma and stele) of the primary root supported by fourfold differential expression of 9353 and 4728 genes, respectively. Among the latter were 1110 genes that encode transcription factors, some of which are orthologs of previously characterized transcription factors known to regulate root development in Arabidopsis thaliana (L.) Heynh., while most are novel, and represent attractive targets for reverse genetics approaches to determine their roles in this important organ. As a result, this comprehensive transcriptome dataset is a powerful tool toward understanding maize development, physiology, and phenotypic diversity.

Research Organization:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
FC02-07ER64494
OSTI ID:
1363961
Journal Information:
The Plant Genome, Journal Name: The Plant Genome Journal Issue: 1 Vol. 9; ISSN 1940-3372
Publisher:
Alliance of Crop, Soil, and Environmental Science SocietiesCopyright Statement
Country of Publication:
United States
Language:
English

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Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings journal February 2020
Additional file 1 of Transcriptomic and genome-wide association study reveal long noncoding RNAs responding to nitrogen deficiency in maize dataset January 2021
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Additional file 4 of Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages dataset January 2021
Genome-wide identification of ZmHMAs and association of natural variation in ZmHMA2 and ZmHMA3 with leaf cadmium accumulation in maize journal October 2019
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