» Articles » PMID: 11752266

Gramene: a Resource for Comparative Grass Genomics

Overview
Specialty Biochemistry
Date 2001 Dec 26
PMID 11752266
Citations 75
Authors
Affiliations
Soon will be listed here.
Abstract

Gramene (http://www.gramene.org) is a comparative genome mapping database for grasses and a community resource for rice. Rice, in addition to being an economically important crop, is also a model monocot for understanding other agronomically important grass genomes. Gramene replaces the existing AceDB database 'RiceGenes' with a relational database based on Oracle. Gramene provides curated and integrative information about maps, sequence, genes, genetic markers, mutants, QTLs, controlled vocabularies and publications. Its aims are to use the rice genetic, physical and sequence maps as fundamental organizing units, to provide a common denominator for moving from one crop grass to another and is to serve as a portal for interconnecting with other web-based crop grass resources. This paper describes the initial steps we have taken towards realizing these goals.

Citing Articles

Simultaneous improvement and genetic dissection of drought and submergence tolerances in rice ( L.) by selective introgression.

Zhang C, Li M, Rey J, Feng T, Lafitte R, Zheng T Front Plant Sci. 2023; 14:1134450.

PMID: 37180379 PMC: 10172858. DOI: 10.3389/fpls.2023.1134450.


Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies.

Das S, Rai S Entropy (Basel). 2021; 23(8).

PMID: 34441085 PMC: 8391627. DOI: 10.3390/e23080945.


Statistical Approach for Biologically Relevant Gene Selection from High-Throughput Gene Expression Data.

Das S, Rai S Entropy (Basel). 2020; 22(11).

PMID: 33286973 PMC: 7712650. DOI: 10.3390/e22111205.


Gramene 2021: harnessing the power of comparative genomics and pathways for plant research.

Tello-Ruiz M, Naithani S, Gupta P, Olson A, Wei S, Preece J Nucleic Acids Res. 2020; 49(D1):D1452-D1463.

PMID: 33170273 PMC: 7779000. DOI: 10.1093/nar/gkaa979.


Genomic resources for energy cane breeding in the post genomics era.

Diniz A, Ferreira S, Ten-Caten F, Margarido G, Dos Santos J, Barbosa G Comput Struct Biotechnol J. 2019; 17:1404-1414.

PMID: 31871586 PMC: 6906722. DOI: 10.1016/j.csbj.2019.10.006.


References
1.
McCouch S . Toward a plant genomics initiative: thoughts on the value of cross-species and cross-genera comparisons in the grasses. Proc Natl Acad Sci U S A. 1998; 95(5):1983-5. PMC: 33827. DOI: 10.1073/pnas.95.5.1983. View

2.
Tarchini R, Biddle P, Wineland R, Tingey S, Rafalski A . The complete sequence of 340 kb of DNA around the rice Adh1-adh2 region reveals interrupted colinearity with maize chromosome 4. Plant Cell. 2000; 12(3):381-91. PMC: 139838. DOI: 10.1105/tpc.12.3.381. View

3.
Gale M, Moore G, Devos K . Rice--the pivotal genome in cereal comparative genetics. Novartis Found Symp. 2001; 236:46-53; discussion 53-8. DOI: 10.1002/9780470515778.ch5. View

4.
Gale M, Devos K . Comparative genetics in the grasses. Proc Natl Acad Sci U S A. 1998; 95(5):1971-4. PMC: 33824. DOI: 10.1073/pnas.95.5.1971. View

5.
Keller B, Feuillet C . Colinearity and gene density in grass genomes. Trends Plant Sci. 2000; 5(6):246-51. DOI: 10.1016/s1360-1385(00)01629-0. View