Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome profiling in reciprocal hybrids and tetraploids constructed from subspecies japonica and indica of Asian rice (Oryza sativa L.)

ABSTRACT: Hybrids and allopolyploids typically exhibit radically altered gene expression patterns relative to their parents, a phenomenon termed âtranscriptomic shock.â To distinguish the effects of hybridization from polyploidization on coregulation of divergent alleles, we analyzed expression of parental copies (homoeologs) of 11,608 genes using RNA-seq-based transcriptome profiling in reciprocal hybrids and tetraploids constructed from subspecies japonica and indica of Asian rice (Oryza sativa L.)

INSTRUMENT(S): Illumina HiSeq 2000

ORGANISM(S): Oryza sativa

SUBMITTER: Bao Liu

PROVIDER: E-MTAB-4271 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Genome-wide disruption of gene expression in allopolyploids but not hybrids of rice subspecies.

Xu Chunming C Bai Yan Y Lin Xiuyun X Zhao Na N Hu Lanjuan L Gong Zhiyun Z Wendel Jonathan F JF Liu Bao B

Molecular biology and evolution 20140227 5

Hybridization and polyploidization are prominent processes in plant evolution. Hybrids and allopolyploids typically exhibit radically altered gene expression patterns relative to their parents, a phenomenon termed "transcriptomic shock." To distinguish the effects of hybridization from polyploidization on coregulation of divergent alleles, we analyzed expression of parental copies (homoeologs) of 11,608 genes using RNA-seq-based transcriptome profiling in reciprocal hybrids and tetraploids const ...[more]

PMID: 24577842

Similar Datasets

Oryza sativa Transcriptome or Gene expression

Project description:A biological phenomenon in which hybrids exhibit superior phenotypes from its parental inbred lines known as heterosis, has been widely exploited in plant breeding and extensively used in crop improvement. Hybrid rice has immense potential to increase yield over other rice varieties and hence is crucial in meeting increasing demand of rice globally. Moreover, the molecular basis of heterosis is still not fully understood and hence it becomes imperative to unravel its genetic and molecular basis. In this context, RNA sequencing technology (RNA-Seq) was employed to sequence transcriptomes of two rice hybrids, Ajay and Rajalaxmi, their parental lines, CRMS31A (sterile line, based on WA-CMS) and CRMS32A (sterile line based on Kalinga-CMS) respectively along with the common restorer line of both hybrids, IR-42266-29-3R at two critical rice developmental stages viz., panicle initiation (PI) and grain filling (GF). Identification of differentially expressed genes (DEGs) at PI and GF stages will further pave the way for understanding heterosis. In addition, such kind of study would help in better understanding of heterosis mechanism and genes up-regulated and down-regulated during the critical stages of rice development for higher yield.

2015-08-02 | E-MTAB-4291 | biostudies-arrayexpress

Epigenetic variation through the breeding processes of maize

Project description:The concurrent epigenetic changes during this period of remarkable improvement in maize grain yield remain unknown. Here, we performed MethylC-seq and RNA-seq on 4 related inbred lines with known pedigree information. Analysis of epigenetic changes over the course of historical maize breeding is a valuable new avenue in the exploration for crop improvement. These data lead us to suggest that novel epihaplotypes, in addition to DNA variation, are a substrate of selection during breeding, and that epigenetic variation between parents may also contribute to heterosis in hybrids. Xie, S; et al. 2013. Maize Genetics Conference Abstracts. 54:P326

2015-06-01 | E-MTAB-4238 | biostudies-arrayexpress

Zea mays Transcriptome or Gene expression

Project description:In many eukaryotes, reproduction involves contributions of genetic material from two parents. At some genes there are parent-of-origin differences in the expression of the maternal and paternal alleles of a gene and this is referred to as imprinting. The analysis of allele-specific expression in several maize hybrids allowed the comprehensive detection of imprinted genes. By comparing allelic expression patterns in multiple crosses, it was possible to observe allelic variation for imprinting in maize. The comparison of genes subject to imprinting in multiple plant species reveals limited conservation for imprinting. The subset of genes that exhibit conserved imprinting in maize and rice may play important, dosage-dependent roles in regulation of seed development. In this study, deep sequencing of RNA isolated from 14 days-after-pollination (DAP) endosperm tissue of five reciprocal hybrid pairs was performed to identify imprinted genes.

2013-11-14 | E-MTAB-4319 | biostudies-arrayexpress

Transcriptome and Metabolite Profiling of the Infection Cycle of Zymoseptoria tritici on Wheat Reveals a Biphasic Interaction with Plant Immunity Involving Differential Pathogen Chromosomal Contributions and a Variation on the Hemibiotrophic Lifestyle Definition.

Project description:The hemibiotrophic fungus Zymoseptoria tritici causes Septoria tritici blotch disease of wheat (Triticum aestivum). Pathogen reproduction on wheat occurs without cell penetration, suggesting that dynamic and intimate intercellular communication occurs between fungus and plant throughout the disease cycle. We used deep RNA sequencing and metabolomics to investigate the physiology of plant and pathogen throughout an asexual reproductive cycle of Z. tritici on wheat leaves. Over 3,000 pathogen genes, more than 7,000 wheat genes, and more than 300 metabolites were differentially regulated. Intriguingly, individual fungal chromosomes contributed unequally to the overall gene expression changes. Early transcriptional down-regulation of putative host defense genes was detected in inoculated leaves. There was little evidence for fungal nutrient acquisition from the plant throughout symptomless colonization by Z. tritici, which may instead be utilizing lipid and fatty acid stores for growth. However, the fungus then subsequently manipulated specific plant carbohydrates, including fructan metabolites, during the switch to necrotrophic growth and reproduction. This switch coincided with increased expression of jasmonic acid biosynthesis genes and large-scale activation of other plant defense responses. Fungal genes encoding putative secondary metabolite clusters and secreted effector proteins were identified with distinct infection phase-specific expression patterns, although functional analysis suggested that many have overlapping/redundant functions in virulence. The pathogenic lifestyle of Z. tritici on wheat revealed through this study, involving initial defense suppression by a slow-growing extracellular and nutritionally limited pathogen followed by defense (hyper) activation during reproduction, reveals a subtle modification of the conceptual definition of hemibiotrophic plant infection.

2015-03-12 | E-MTAB-4116 | biostudies-arrayexpress

Oryza sativa strain:Nipponbare Transcriptome or Gene expression

Project description: Not available

2014-11-04 | E-MTAB-4123 | biostudies-arrayexpress

Populus trichocarpa Transcriptome or Gene expression

Project description:Our analysis provides a comprehensive picture of how P. trichocarpa responds to drought stress at physiological and transcriptome levels which may help to understand molecular mechanisms associated with drought response and could be useful for genetic engineering of woody plants. Drought stress treatment was performed dividing P. trichocarpa plants into the well-watered (WW) group (soil volumetric water content of 40â45 %) and the water-limited group (soil volumetric water content of 10â15 %). Two cDNA libraries constructed separately from the WW and WL groups were subjected to high-throughput Illumina sequencing.

2013-11-20 | E-MTAB-4126 | biostudies-arrayexpress

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

Zea mays Transcriptome or Gene expression

Project description:The classical maize mutant lazy1 (la1), displayed prostrate growth with reduced shoot gravitropism. We compared the transcriptome profile of the third node in la1-ref mutants with those in wild-type plants using RNA-SEQ to examine the genome-wide effect of the ZmLA1 gene. We generated 14.6 and 36.5 million paired-end reads from two biological samples of wild-type and la1-ref mutant plants, respectively.

2013-11-20 | E-MTAB-4196 | biostudies-arrayexpress

Oryza sativa Transcriptome or Gene expression

Project description:Nitrogen (N), a critical macronutrient for plant growth and development, is a major limiting factor in most agricultural systems. Microarray analyses have been conducted to investigate genome-wide gene expression in response to changes in N concentrations. Although RNA-Seq analysis can provide a more precise determination of transcript levels, it has not previously been employed to investigate the expression of N-starvation-induced genes. We constructed cDNA libraries from leaf sheaths and roots of rice plants grown under N-deficient or -sufficient conditions for 12 h. Sequencing the libraries resulted in identification of 33,782 annotated genes. A comparison of abundances revealed 1,650 transcripts that were differentially expressed (fold-changeââ¥â2) due to an N-deficiency. Among them, 1,158 were differentially expressed in the leaf sheaths (548 up-regulated and 610 down-regulated) and 492 in the roots (276 up, 216 down).

2015-08-30 | E-MTAB-4195 | biostudies-arrayexpress

mRNA-seq of Zea mays B73 early-prophase meiocytes, anthers, and seedling control

Project description:A major step in the higher plant life cycle is the decision to leave the mitotic cell cycle and begin the progression through the meiotic cell cycle that leads to the formation of gametes. The molecular mechanisms that regulate this transition and early meiosis remain largely unknown. To gain insight into gene expression features during the initiation of meiotic recombination, we profiled early prophase I meiocytes from maize (Zea mays) using capillary collection to isolate meiocytes, followed by RNA-seq.

2013-07-25 | E-MTAB-4210 | biostudies-arrayexpress

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