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CSGRqtl, a Comparative Quantitative Trait Locus Database for Saccharinae Grasses
Author(s) -
Dong Zhang,
Hui Guo,
Changsoo Kim,
TaeHo Lee,
Jingping Li,
Jon S. Robertson,
Xiyin Wang,
Zining Wang,
Andrew H. Paterson
Publication year - 2012
Publication title -
plant physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.554
H-Index - 312
eISSN - 1532-2548
pISSN - 0032-0889
DOI - 10.1104/pp.112.206870
Subject(s) - quantitative trait locus , biology , family based qtl mapping , genome , genetic architecture , genetics , gene , gene mapping , chromosome
Conventional biparental quantitative trait locus (QTL) mapping has led to some successes in the identification of causal genes in many organisms. QTL likelihood intervals not only provide "prior information" for finer-resolution approaches such as GWAS but also provide better statistical power than GWAS to detect variants with low/rare frequency in a natural population. Here, we describe a new element of an ongoing effort to provide online resources to facilitate study and improvement of the important Saccharinae clade. The primary goal of this new resource is the anchoring of published QTLs for this clade to the Sorghum genome. Genetic map alignments translate a wealth of genomic information from sorghum to Saccharum spp., Miscanthus spp., and other taxa. In addition, genome alignments facilitate comparison of the Saccharinae QTL sets to those of other taxa that enjoy comparable resources, exemplified herein by rice.

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