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 ( 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 (L.) Heynh., while most are novel, and represent attractive targets for reverse genetics approaches to determine their roles in this important organ. This comprehensive transcriptome dataset is a powerful tool toward understanding maize development, physiology, and phenotypic diversity.

Download full-text PDF

Source
http://dx.doi.org/10.3835/plantgenome2015.04.0025DOI Listing

Publication Analysis

Top Keywords

rna sequencing
8
root development
8
gene atlas
8
mapped reads
8
transcription factors
8
root
6
samples
5
expanded maize
4
maize gene
4
gene expression
4

Similar Publications

scHNTL: single-cell RNA-seq data clustering augmented by high-order neighbors and triplet loss.

Bioinformatics

January 2025

School of Computing and Artificial Intelligence, Southwest Jiaotong University, Sichuan 611756, China.

Motivation: The rapid development of single-cell RNA sequencing (scRNA-seq) has significantly advanced biomedical research. Clustering analysis, crucial for scRNA-seq data, faces challenges including data sparsity, high dimensionality, and variable gene expressions. Better low-dimensional embeddings for these complex data should maintain intrinsic information while making similar data close and dissimilar data distant.

View Article and Find Full Text PDF

sp. nov., isolated from the faecal sample of a zoo animal, .

Int J Syst Evol Microbiol

January 2025

Laboratory of Molecular Environmental Microbiology, Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea.

Strain NoAH (=KACC 23135=JCM 35999), a novel Gram-negative, motile bacterium with a rod-shaped morphology, was isolated from the zoo animal faecal samples, specifically the long-tailed goral species . The novel bacterial strain grew optimally in a nutrient broth medium under the following conditions: 1-2% (w/v) NaCl, pH 7-8 and 30 °C. The strain NoAH exhibited high tolerance to NaCl, with the ability to tolerate up to 7% (w/v) NaCl.

View Article and Find Full Text PDF

Objective: This study aims to improve genetic diagnosis in childhood onset epilepsy with neurodevelopmental problems by utilizing RNA sequencing of fibroblasts to identify pathogenic variants that may be missed by exome sequencing and copy number variation analysis.

Methods: We enrolled 41 individuals with childhood onset epilepsy and neurodevelopmental problems who previously had inconclusive genetic testing. Fibroblast samples were cultured and analyzed using RNA sequencing to detect aberrant expression, aberrant splicing, and monoallelic expression using the Detection of RNA Outlier Pipeline (DROP) pipeline.

View Article and Find Full Text PDF

Human-derived microRNA 21 regulates indole and L-tryptophan biosynthesis transcripts in the gut commensal .

mBio

January 2025

Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.

Unlabelled: In the gut, microRNAs (miRNAs) produced by intestinal epithelial cells are secreted into the lumen and can shape the composition and function of the gut microbiome. Crosstalk between gut microbes and the host plays a key role in irritable bowel syndrome (IBS) and inflammatory bowel diseases, yet little is known about how the miRNA-gut microbiome axis contributes to the pathogenesis of these conditions. Here, we investigate the ability of miR-21, a miRNA that we found decreased in fecal samples from IBS patients, to associate with and regulate gut microbiome function.

View Article and Find Full Text PDF

Novel De Novo Intronic Variant of SYNGAP1 Associated With the Neurodevelopmental Disorders.

Mol Genet Genomic Med

February 2025

Department of Chemistry and Molecular Biology, Gothenburg University, Gothenburg, Sweden.

Background: SYNGAP1 encodes a Ras/Rap GTPase-activating protein that is predominantly expressed in the brain with the functional roles in regulating synaptic plasticity, spine morphogenesis, and cognition function. Pathogenic variants in SYNGAP1 have been associated with a spectrum of neurodevelopmental disorders characterized by developmental delays, intellectual disabilities, epilepsy, hypotonia, and the features of autism spectrum disorder. The aim of this study was to identify a novel SYNGAP1 gene variant linked to neurodevelopmental disorders and to evaluate the pathogenicity of the detected variant.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!