Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

APRegNet

General information

URL: http://lms.snu.edu.in/APRegNet
Full name:
Description: APRegNet is a data repository of five-type transcriptional and posttranscriptional regulatory relationships for Arabidopsis, Rice and Maize in response to abiotic stresses (drought, cold, salt and waterlogging).
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: India

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Shiv Nadar University
Address:
City:
Province/State:
Country/Region: India
Contact name (PI/Team): Ashutosh Singh
Contact email (PI/Helpdesk): ashutosh.singh@snu.edu.in

Publications

33643383
Abiotic Stress-Responsive miRNA and Transcription Factor-Mediated Gene Regulatory Network in : Construction and Structural Measure Study. [PMID: 33643383]
Rinku Sharma, Shashankaditya Upadhyay, Sudeepto Bhattacharya, Ashutosh Singh

Climate changes and environmental stresses have a consequential association with crop plant growth and yield, meaning it is necessary to cultivate crops that have tolerance toward the changing climate and environmental disturbances such as water stress, temperature fluctuation, and salt toxicity. Recent studies have shown that trans-acting regulatory elements, including microRNAs (miRNAs) and transcription factors (TFs), are emerging as promising tools for engineering naive improved crop varieties with tolerance for multiple environmental stresses and enhanced quality as well as yield. However, the interwoven complex regulatory function of TFs and miRNAs at transcriptional and post-transcriptional levels is unexplored in . To this end, we have constructed a multiple abiotic stress responsive TF-miRNA-gene regulatory network for using a transcriptome and degradome sequencing data meta-analysis approach. The theoretical network approach has shown the networks to be dense, scale-free, and small-world, which makes the network stable. They are also invariant to scale change where an efficient, quick transmission of biological signals occurs within the network on extrinsic hindrance. The analysis also deciphered the existence of communities (cluster of TF, miRNA, and genes) working together to help plants in acclimatizing to multiple stresses. It highlighted that genes, TFs, and miRNAs shared by multiple stress conditions that work as hubs or bottlenecks for signal propagation, for example, during the interaction between stress-responsive genes (TFs/miRNAs/other genes) and genes involved in floral development pathways under multiple environmental stresses. This study further highlights how the fine-tuning feedback mechanism works for balancing stress tolerance and how timely flowering enable crops to survive in adverse conditions. This study developed the abiotic stress-responsive regulatory network, APRegNet database (http://lms.snu.edu.in/APRegNet), which may help researchers studying the roles of miRNAs and TFs. Furthermore, it advances current understanding of multiple abiotic stress tolerance mechanisms.

Front Genet. 2021:12() | 7 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4375/6895 (36.563%)
Interaction:
809/1194 (32.328%)
Pathway:
279/451 (38.359%)
Metadata:
452/719 (37.274%)
4375
Total Rank
7
Citations
1.75
z-index

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Record metadata

Created on: 2022-04-22
Curated by:
Lin Liu [2022-06-20]
Sicheng Luo [2022-05-09]
Sicheng Luo [2022-05-04]
Qianpeng Li [2022-04-22]