MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice
Journal Article

Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

2020
Request Book From Autostore and Choose the Collection Method
Overview
Background Drought stress is an adverse factor with deleterious effects on several aspects of rice growth. However, the mechanism underlying drought resistance in rice remains unclear. To understand the molecular mechanism of the drought response in rice, drought-sensitive CSSL (Chromosome Single-substitution Segment Line) PY6 was used to map QTLs of sensitive phenotypes and to reveal the impact of the QTLs on transcriptional profiling. Results The QTL dss-1 was mapped onto the short arm of chromosome 1 of rice. According to transcriptomic analysis, the identified differentially expressed genes (DEGs) exhibited a downregulated pattern and were mainly enriched in photosynthesis-related GO terms, indicating that photosynthesis was greatly inhibited under drought. Further, according to weighted gene coexpression network analysis (WGCNA), specific gene modules (designating a group of genes with a similar expression pattern) were strongly correlated with H 2 O 2 (4 modules) and MDA (3 modules), respectively. Likewise, GO analysis revealed that the photosynthesis-related GO terms were consistently overrepresented in H 2 O 2 -correlated modules. Functional annotation of the differentially expressed hub genes (DEHGs) in the H 2 O 2 and MDA-correlated modules revealed cross-talk between abiotic and biotic stress responses for these genes, which were annotated as encoding WRKYs and PR family proteins, were notably differentially expressed between PY6 and PR403. Conclusions We speculated that drought-induced photosynthetic inhibition leads to H 2 O 2 and MDA accumulation, which can then trigger the reprogramming of the rice transcriptome, including the hub genes involved in ROS scavenging, to prevent oxidative stress damage. Our results shed light on and provide deep insight into the drought resistance mechanism in rice.