Home LiteratureArticle Details
PMID: 15258170 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

A genetic map of candidate genes and QTLs involved in tomato fruit size and composition.

Journal of experimental botany ·Vol. 55 ·No. 403 ·2004-08-00 ·Pages 1671-85

Causse M, Duffe P, Gomez MC, Buret M, Damidaux R, Zamir D, Gur A, Chevalier C, Lemaire-Chamley M, Rothan C

Abstract

In order to screen for putative candidate genes linked to tomato fruit weight and to sugar or acid content, genes and QTLs involved in fruit size and composition were mapped. Genes were selected among EST clones in the TIGR tomato EST database (http://www.tigr.org/tdb/tgi/lgi/) or corresponded to genes preferentially expressed in the early stages of fruit development. These clones were located on the tomato map using a population of introgression lines (ILs) having one segment of Lycopersicon pennellii (LA716) in a L. esculentum (M82) background. The 75 ILs allowed the genome to be segmented into 107 bins. Sixty-three genes involved in carbon metabolism revealed 79 loci. They represented enzymes involved in the Calvin cycle, glycolysis, the TCA cycle, sugar and starch metabolism, transport, and a few other functions. In addition, seven cell-cycle-specific genes mapped into nine loci. Fourteen genes, primarily expressed during the cell division stage, and 23 genes primarily expressed during the cell expansion stage, revealed 24 and 26 loci, respectively. The fruit weight, sugars, and organic acids content of each IL was measured and several QTLs controlling these traits were mapped. Comparison between map location of QTLs and candidate gene loci indicated a few candidate genes that may influence the variation of sugar or acid contents. Furthermore, the gene/QTL locations could be compared with the loci mapped in other tomato populations.

MeSH Terms
Chromosome Mapping Fruit/genetics,growth & development Genome, Plant Lycopersicon esculentum/genetics,growth & development Quantitative Trait Loci
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Causse M
INRA Unité de Génétique et Amélioration des Fruits et Légumes, BP 94, F-84143 Montfavet Cedex, France. mathilde.causse@avignon.inra.fr
Duffe P
Gomez M C
Buret M
Damidaux R
Zamir D
Gur A
Chevalier C
Lemaire-Chamley M
Rothan C
Article Info
Journal
Journal of experimental botany
Abbr.
J Exp Bot
ISSN
0022-0957
Published
2004-08-00
Epub
2004-00-16
Pages
1671-85
Language
English
Region
England
NLM ID
9882906
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com