The transcriptome complexity of cultivated soybean under salt stress was revealed by long-read sequencing on native mRNAs
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB54629 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:ONT direct RNA sequencing of soybean under salt stress
| PRJEB44525 | ENA
Project description:The transcriptome profiles of the model plant Arabidopsis thaliana have been extensively studied and charcaterised under different developmental and physiological conditions. However, most of these “RNA-sequencing” datasets have been generated using the sequencing of reverse-transcribed cDNAs from mRNAs that have a relatively short read length. Here, we performed direct RNA sequencing using the latest Oxford Nanopore Technology (ONT) with unusual read length. We demonstrate that the complexity of the A. thaliana transcriptomes has been under-estimated. The ONT direct RNA sequencing technology identified transcript isoforms at a vegetative (14 day old seedlings, stage 1.04) and a reproductive stage (stage 6.00-6) when 10% of the flowers had opened. In-house software called TrackCluster was used to determine alternative transcription initiation (ATI), possible alternative polyadenylation (APA), poly(A) length, alternative splicing (AS), and fusion transcripts. Tombo software was used to detect RNA base modifications. More than 38,500 novel transcript isoforms were identified, including six categories of fusion-transcripts which may result from differential RNA processing mechanisms. Fusion-transcripts are prone to mis-assembly by sequencing with short reads using next-generation-sequencing (NGS). These new transcript isoforms provide important additions to the annotated Arabidopsis genome. The power of ONT in detecting RNA modifications was demonstrated by characterisation of the modifications between mobile mRNAs and total mRNAs. The mobile mRNAs were enriched in m5C modifications, which is consistent with a recent finding that m5C modification in mRNAs is crucial for their long-distance movement. In summary, ONT direct RNA sequencing greatly enhances the identification of novel RNA transcript isoforms and RNA base modifications.
2020-08-02 | GSE144828 | GEO
Project description:3D genome reorganizations in the evolution and domestication of soybean
| PRJNA657728 | ENA
Project description:cultivated and wild soybean and F1 F2 Raw sequence reads
| PRJNA648097 | ENA
Project description:Purpose: The aim of this study is to identify genes that are under the transcriptional control of the epigenetic modifier Smchd1 in mouse neural stem cells. We profiled the transcriptomes of mouse neural stem cells from samples that were either wild-type or contained a null mutation in the epigenetic regulator Smchd1 using Oxford Nanopore Technologies (ONT) direct cDNA sequencing protocol and a PromethION sequencer.
2020-06-18 | GSE151841 | GEO
Project description:New insights of Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs
| PRJNA605023 | ENA
Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. We used microarrays to characterize the soybean plant's transcriptional defense against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured trancript levels in leaves after one and seven days of aphid infestation.
2012-01-31 | GSE35427 | GEO
Project description:The Hydrophobic protein from soybean (HPS) locus is polymorphic among soybean cultivars and copy-number changes in the tandem array at this locus are directly correlated with expression level and seed coat luster phenotypes. Keywords: comparative genomic hybridization
2006-03-21 | GSE3810 | GEO
Project description:Background: Soybean cyst nematode (SCN, Heterodera glycines Ichinohe) is the most devastating pathogen of soybean. Many gene expression profiling studies have been conducted to investigate the responses of soybean to the infection by this pathogen using primarily the first-generation soybean genome array that covered approximately 37,500 soybean transcripts. However, no study has been reported yet using the second-generation Affymetrix soybean whole-genome transcript array (Soybean WT array) that represents approximately 66,000 predicted soybean transcripts. Results: In the present work, the gene expression profiles of two soybean plant introductions (PIs) PI 437654 and PI 567516C (both resistant to multiple SCN races) and cultivar (cv.) Magellan (susceptible to SCN) were compared in the presence or absence of the SCN inoculum at different time points (3 and 8 days post-inoculation). For this purpose, the Soybean WT array, which covers many more predicted soybean transcripts than the first-generation Affymetrix soybean array, was employed. Data analysis revealed that the two resistant soybean lines showed distinctive gene expression profiles from each other and from Magellan not only in response to the SCN inoculation, but also in the absence of SCN. Overall, 1,413 genes and many pathways, such as defense and hormonal pathways, were revealed to be differentially regulated. Among them, 297 genes were constitutively regulated in the two resistant lines (compared with cv. Magellan) and 1,146 genes were responsive to the SCN inoculation in the three lines, with 30 genes regulated both constitutively and by SCN. In addition to the findings similar to those in the published work, many genes involved in ethylene, protein degradation, and phenylpropanoid pathways were also revealed differentially regulated in the present study. GC-rich elements (e.g., GCATGC) were found over-represented in the promoter regions of certain groups of genes. These have not been observed before, and could be new defense-responsive regulatory elements. Conclusions: Different soybean lines showed different gene expression profiles in the presence and absence of the SCN inoculum. Both inducible and constitutive gene expression may contribute to resistance to multiple SCN HG Types in the resistant soybean PI lines. Ethylene, protein degradation, and phenylpropanoid pathways, as well as many other pathways reported previously, may play important roles in mediating the soybean-SCN interactions. The revealed genes, pathways, and promoter elements can be further explored to regulate or engineer soybean for resistance to SCN.
2015-03-04 | GSE64492 | GEO