Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

AlfalfaTFDB

General information

URL: https://plantpathology.ba.ars.usda.gov/alfalfatfdb.html
Full name: AlfalfaTFDB
Description: Transcriptomic analysis used in this work represents an effective approach for the identification of TF genes in plants with incomplete genomes, such as alfalfa. Integrated TF repertoires of Medicago sativa will provide an important tool for studying regulation of gene expression in other complex non-model species of agricultural significance.
Year founded: 2014
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

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

Contact information

University/Institution: United States Department of Agriculture
Address: Molecular Plant Pathology Laboratory, Beltsville Agricultural Research Center, United States Department of Agriculture, Beltsville, USA
City: Beltsville
Province/State:
Country/Region: United States
Contact name (PI/Team): Lev G. Nemchinov
Contact email (PI/Helpdesk): lev.nemchinov@ars.usda.gov

Publications

24556904
In silico identification of transcription factors in Medicago sativa using available transcriptomic resources. [PMID: 24556904]
Postnikova OA, Shao J, Nemchinov LG.

Transcription factors (TFs) are proteins that govern organismal development and response to the environment by regulating gene expression. Information on the amount and diversity of TFs within individual plant species is critical for understanding of their biological roles and evolutionary history across the plant kingdom. Currently, only scattered information on separate TFs is available for alfalfa, the most extensively cultivated forage legume in the world. In the meantime, several large transcriptomic resources that can be used to identify and characterize alfalfa TF genes are freely accessible online. In this study, we have performed an in silico analysis of transcriptome data generated in our laboratory and publicly acquirable from other sources to reveal and systematize alfalfa transcription factors. Transcriptome-wide mining enabled prediction of 983 TFs along with their sequence features and putative phylogenies of the largest families. All data were assembled into a simple open-access database named AlfalfaTFDB ( http://plantpathology.ba.ars.usda.gov/alfalfatfdb.html ). Transcriptomic analysis used in this work represents an effective approach for the identification of TF genes in plants with incomplete genomes, such as alfalfa. Integrated TF repertoires of Medicago sativa will provide an important tool for studying regulation of gene expression in other complex non-model species of agricultural significance.

Mol Genet Genomics. 2014:289(3) | 8 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
5736/6895 (16.824%)
Gene genome and annotation:
1733/2021 (14.3%)
Expression:
1160/1347 (13.957%)
5736
Total Rank
8
Citations
0.727
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2018-01-28
Curated by:
Lina Ma [2018-12-03]
Dong Zou [2018-12-03]
raza muhammad [2018-04-13]
Qi Wang [2018-01-28]