Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The RHW1-ZCN4 regulatory pathway confers natural variation of husk leaf width in maize

ABSTRACT: Maize husk leaf - the outer leafy layers covering the ear - modulates kernel yield and quality. Despite its importance, however, the genetic controls underlying husk leaf development remain elusive. Our previous genome-wide association study identified a single nucleotide polymorphism located in the gene RHW1 (Regulator of Husk leaf Width) that is significantly associated with husk leaf-width diversity in maize. Here, we further demonstrate that a polymorphic 18-bp InDel (insertion/deletion) variant in the 3' untranslated region of RHW1 alters its protein abundance and accounts for husk leaf width variation. RHW1 encodes a putative MYB-like transcriptional repressor. Disruption of RHW1 altered cell proliferation and resulted in a narrower husk leaf, whereas RHW1 overexpression yielded a wider husk leaf. RHW1 positively regulated the expression of ZCN4, a well-known TFL1-like protein involved in maize ear development. Dysfunction of ZCN4 reduced husk leaf width even in the context of RHW1 overexpression. The InDel variant in RHW1 is subject to selection and is associated with maize husk leaf adaption from tropical to temperate regions. Overall, our results identify that RHW1-ZCN4 regulates a pathway conferring husk leaf width variation at a very early stage of husk leaf development in maize.

ORGANISM(S): Zea mays

PROVIDER: GSE217926 | GEO | 2023/12/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The RHW1-ZCN4 regulatory pathway confers natural variation of husk leaf width in maize

Project description:The RHW1-ZCN4 regulatory pathway confers natural variation of husk leaf width in maize

| PRJNA901414 | ENA

Systems genetics reveals a transcriptional network associated with susceptibility in the maize-gray leaf spot pathosystem

Project description:Background: Maize plants developed typical gray leaf spot disease (GLS) symptoms initiating at the lower leaves and progressing to upper leaves through the season. Leaf material was collected at 77 days after planting, at which stage there were a large number of GLS disease necrotic lesions on lower leaves (8% surface area on average determined by digital image analysis), but very few lesions and only at chlorotic stage on leaves above the ear (average of 0.2% lesion surface area). Method:To collect material that reflected a difference between C.zeina infected B73 leaves and control B73 leaf material, samples were collected from two lower GLS infected leaves (second and third leaf internode below ear) , and two upper leaves with minimal GLS symptoms (second and third internode above ear), respectively. The two lower leaves from each plant were pooled prior to RNA extraction, and the two upper leaves from each plant were pooled prior to RNA extraction. Upper and lower leaf samples from three maize B73 plants were subjected to RNA sequencing individually. The three maize plants were selected randomly as one plant per row from three rows of ten B73 plants each. Result: A systems genetics strategy revealed regions on the maize genome underlying co-expression of genes in susceptible and resistance responses, including a set of 100 genes common to the susceptible response of sub-tropical and temperate maize.

2016-10-15 | GSE81344 | GEO

Transcription profiling of maize inbred lines

Project description:This SuperSeries is composed of the following subset Series:; GSE8174: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Seedling data; GSE8176: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Immature ear data; GSE8179: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Embryo data Experiment Overall Design: Refer to individual Series

2008-06-17 | E-GEOD-8194 | biostudies-arrayexpress

Gene-expression profile comparisons distinguish seven organs of maize

Project description:A maize array was fabricated with 5,376 unique expressed sequence tag (EST) clones sequenced from 4-day-old roots, immature ears and adult organ cDNA libraries. To elucidate organ relationships, relative mRNA levels were quantified by hybridization with embryos, three maize vegetative organs (leaf blades, leaf sheaths and roots) from multiple developmental stages, husk leaves and two types of floral organs (immature ears and silks). Clustering analyses of the hybridization data suggest that maize utilizes both the PEPCK and NADP-ME C(4) photosynthetic routes as genes in these pathways are co-regulated. Husk RNA has a gene-expression profile more similar to floral organs than to vegetative leaves. Only 7% of the genes were highly organ specific, showing over a fourfold difference in at least one of 12 comparisons and 37% showed a two- to fourfold difference. The majority of genes were expressed in diverse organs with little difference in transcript levels. Cross-hybridization among closely related genes within multigene families could obscure tissue specificity. As a first step in elucidating individual gene-expression patterns, we show that 45-nucleotide oligo probes produce signal intensities and signal ratios comparable to PCR probes on the same matrix. Gene-expression profile studies with cDNA microarrays provide a new molecular tool for defining plant organs and their relationships and for discovering new biological processes in silico. cDNA microarrays are insufficient for differentiating recently duplicated genes. Gene-specific oligo probes printed along with cDNA probes can query individual gene-expression profiles and gene families simultaneously. Keywords: other

2003-01-08 | GSE141 | GEO

Gene-expression profile comparisons distinguish seven organs of maize

2003-01-07 | E-GEOD-141 | biostudies-arrayexpress

rs143348853 in vitro DNA pulldown

Project description:Non-coding variants coordinate transcription factor (TF) binding and chromatin mark enrichment changes over regions spanning >100 kb. We named these molecularly coordinated regions “variable chromatin modules” (VCMs), providing a conceptual framework of how regulatory variation might shape complex traits. To better understand the molecular mechanisms underlying VCM formation, here, we mechanistically dissect an uncharacterized VCM-modulating non-coding variant that is associated with reduced chronic lymphocytic leukemia (CLL) predisposition and disease progression. This common, germline variant constitutes a 5-bp indel that controls the activity of an AXIN2 gene-linked VCM by creating a MEF2 binding site, which, upon binding, activates a super-enhancer-like regulatory element. This triggers a big change in TF binding activity and chromatin state at an enhancer cluster spanning >150 kb, coinciding with long-range chromatin compaction and AXIN2 up-regulation. Our results support a model in which the indel acts as an AXIN2 VCM-activating TF nucleation event, which modulates CLL pathology.

2022-04-21 | PXD029313 | Pride

Genome-wide comparative analysis of digital gene expression tag profiles during maize ear development

Project description:The present study profiled and analyzed gene expression of the maize ear at four key developmental stages. Based on genome-wide profile analysis, we detected differential mRNA of maize genes. Some of the differentially expressed genes (DEGs) were predicted to be potential candidates of maize ear development. Several well-known genes were found with reported mutants analyses, such as, compact plant2 (ct2), zea AGAMOUS homolog1 (zag1), bearded ear (bde), and silky1 (si1). MicroRNAs such as microRNA156 were predicted to target genes involved in maize ear development. Antisense transcripts were widespread throughout all the four stages, and are suspected to play important roles in maize ear development. Thus, identification and characterization of important genes and regulators at all the four developmental stages will contribute to an improved understanding of the molecular mechanisms responsible for maize ear development.

2015-04-30 | GSE49805 | GEO

Expression of ATHB17 in Maize Increases Ear Weight at Silking

Project description:Transformation of the Arabidopsis ATHB17 gene into maize results in the expression of a truncated protein (smaller by 113 amino acids) that functions as a dominant-negative regulator that can modify activity of endogenous maize HD-Zip II transcription factors. This RNASeq experiment indicates that the observed effects of ATHB17d113 on the maize ear inflorescence and ear transcriptome are very small. Expression of ATHB17delta113 protein in maize leads to changes in ear growth resulting in increased ear size at early reproductive stages and, potentially increased sink size.

2015-10-26 | GSE51742 | GEO

Genome-wide transcript analysis of early maize leaf development reveals gene cohorts associated with the differentiation of C4 Kranz anatomy

Project description:Photosynthesis underpins the viability of most ecosystems, with C4 plants that exhibit âKranzâ anatomy being the most efficient primary producers. Kranz anatomy is characterized by closely spaced veins that are encircled by two morphologically distinct photosynthetic cell types. Although Kranz anatomy evolved multiple times, the underlying genetic mechanisms remain largely elusive, with only the maize scarecrow gene so far implicated in Kranz patterning. To provide a broader insight into the regulation of Kranz differentiation, we performed a genome-wide comparative analysis of developmental trajectories in Kranz (foliar leaf blade) and non-Kranz (husk leaf sheath) leaves of the C4 plant maize. Using profile classification of gene expression in early leaf primordia, we identified cohorts of genes associated with procambium initiation and vascular patterning. In addition, we used supervised classification criteria inferred from anatomical and developmental analyses of five developmental stages to identify candidate regulators of cell-type specification. Our analysis supports the suggestion that Kranz anatomy is patterned, at least in part, by a SCARECROW/SHORTROOT regulatory network, and suggests likely components of that network. Furthermore, the data imply a role for additional pathways in the development of Kranz leaves.

2013-07-29 | E-MTAB-4134 | biostudies-arrayexpress

Gene expression non-additivity in immature ears of a heterotic F1 maize hybrid

Project description:Non-additive gene regulation has been recently suggested as an important factor promoting phenotypic variation and plasticity. In order to obtain a description of gene expression status at an early stage of ear development in a maize (Zea mays L.) F1 hybrid as relative to its parental inbreds, we compared gene expression profiles in immature ears of elite inbred lines B73 and H99 to one of their F1 hybrids (B73xH99) using cDNA microarray technology. Results show several genes expressed at a significantly different level between both inbred lines and their hybrid. In addition, gene expression non-additivity in the hybrid was detected on a broad scale, consisting of both dominance and over-dominance components, indicating that complex non-additive interactions at the molecular level exist in the developing ear of the studied maize hybrid. Non-additively regulated genes belong to a wide range of molecular functions, indicating that several regulatory and metabolic patterns are possibly affected during ear development in the investigated hybrid. We discuss the possibility that observed gene expression non-additivity in immature ear might be an early molecular manifestation of hybrid vigor, the most exploited factor for maize agronomic improvement.

2007-10-01 | GSE2771 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data