Omics · study · 2026
Determination of expressed transcripts based on comparative transcriptome sequence analysis of known Striga resistant and susceptible sorghum genotypes.
Listed in NCBI GEO
Subsequent era of sequencing technology has stepped forward our capability to study transcriptomes and genomes of plants and animals with effeciency.
Description
The aim of the current experiment was to determine transcriptomes of a sorghum cultivar N13 resistant to Striga hermonthica and a susceptible variety Hugurtay so that to identify the defferentially expressed genes and describe their putative function. Using Illumina short reads, transcriptomes of two sorghum varieties were investigated for which limited data was previously available.
Information on gene transcripts expressed in two growing phases of Striga hermonthica infection (attachment and in host development stages) is presented and the transcript levels were compared between these growing phases. The results indicated that 15 genes are expressed as a direct response to stimulus and to execute signaling within cells. Further analysis revealed overrepresentation of SORBI_3004G065900, SORBI_3001G482800, SORBI_3001G482700, SORBI_3001G077400 and SORBI_3001G259700 as a response to Striga wounding.
Read the rest (1 more)
We report that signaling genes and pathways play a crucial role in mediating defense against Striga in N13. Wound repair genes and mechanisms prevent Striga penetration making N13 resist infestation. These pathways were repressed or minimally expressed in Hurgutay possibly causing it to succumb to Striga.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE210nnn/GSE210481 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE210481 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA865765 ncbi.nlm.nih.gov/bioproject/PRJNA865765 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 75% · Sequencing 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE210481 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |