Literature DB >> 22930431

Dynamic QTL analysis for fruit lycopene content and total soluble solid content in a Solanum lycopersicum x S. pimpinellifolium cross.

Y D Sun1, Y Liang, J M Wu, Y Z Li, X Cui, L Qin.   

Abstract

Fruit lycopene content and total soluble solid content are important factors determining fruit quality of tomatoes; however, the dynamic quantitative trait loci (QTL) controlling lycopene and soluble solid content have not been well studied. We mapped the chromosomal regions controlling these traits in different periods in F(2:3) families derived from a cross between the domestic and wild tomato species Solanum lycopersicum and S. pimpinellifolium. Fifteen QTLs for lycopene and soluble solid content and other related traits analyzed at three different fruit ripening stages were detected with a composite interval mapping method. These QTLs explained 7-33% of the individual phenotypic variation. QTLs detected in the color-changing period were different from those detected in the other two periods. On chromosome 1, the soluble solid content QTL was located in the same region during the color-changing and full-ripe periods. On chromosome 4, the same QTL for lycopene content was found during the color-changing and full-ripe periods. The QTL for lycopene content on chromosome 4 co-located with the QTL for soluble solid content during the full-ripe period. Co-location of lycopene content QTL and soluble solid content QTLs may be due to pleiotropic effects of a single gene or a cluster of genes via physiological relationships among traits. On chromosome 9, the same two QTLs for lycopene content at two different fruit ripening periods may reflect genes controlling lycopene content that are always expressed in tomato fruit development.

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Year:  2012        PMID: 22930431     DOI: 10.4238/2012.August.17.8

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  8 in total

1.  Bayesian QTL mapping using genome-wide SSR markers and segregating population derived from a cross of two commercial F1 hybrids of tomato.

Authors:  Akio Ohyama; Kenta Shirasawa; Hiroshi Matsunaga; Satomi Negoro; Koji Miyatake; Hirotaka Yamaguchi; Tsukasa Nunome; Hiroyoshi Iwata; Hiroyuki Fukuoka; Takeshi Hayashi
Journal:  Theor Appl Genet       Date:  2017-05-05       Impact factor: 5.699

Review 2.  Use of Natural Diversity and Biotechnology to Increase the Quality and Nutritional Content of Tomato and Grape.

Authors:  Quentin Gascuel; Gianfranco Diretto; Antonio J Monforte; Ana M Fortes; Antonio Granell
Journal:  Front Plant Sci       Date:  2017-05-12       Impact factor: 5.753

3.  Genome-wide SNP discovery and QTL mapping for fruit quality traits in inbred backcross lines (IBLs) of solanum pimpinellifolium using genotyping by sequencing.

Authors:  Ibrahim Celik; Nergiz Gurbuz; Ali Tevfik Uncu; Anne Frary; Sami Doganlar
Journal:  BMC Genomics       Date:  2017-01-03       Impact factor: 3.969

Review 4.  Application of Genome Editing in Tomato Breeding: Mechanisms, Advances, and Prospects.

Authors:  Hymavathi Salava; Sravankumar Thula; Vijee Mohan; Rahul Kumar; Fatemeh Maghuly
Journal:  Int J Mol Sci       Date:  2021-01-12       Impact factor: 5.923

Review 5.  Enhancing the health-promoting effects of tomato fruit for biofortified food.

Authors:  Assunta Raiola; Maria Manuela Rigano; Roberta Calafiore; Luigi Frusciante; Amalia Barone
Journal:  Mediators Inflamm       Date:  2014-03-12       Impact factor: 4.711

6.  Dynamic QTLs for sugars and enzyme activities provide an overview of genetic control of sugar metabolism during peach fruit development.

Authors:  Elsa Desnoues; Valentina Baldazzi; Michel Génard; Jehan-Baptiste Mauroux; Patrick Lambert; Carole Confolent; Bénédicte Quilot-Turion
Journal:  J Exp Bot       Date:  2016-04-25       Impact factor: 6.992

7.  Association Mapping of Main Tomato Fruit Sugars and Organic Acids.

Authors:  Jiantao Zhao; Yao Xu; Qin Ding; Xinli Huang; Yating Zhang; Zhirong Zou; Mingjun Li; Lu Cui; Jing Zhang
Journal:  Front Plant Sci       Date:  2016-08-26       Impact factor: 5.753

8.  Genome-Wide Association Mapping for Tomato Volatiles Positively Contributing to Tomato Flavor.

Authors:  Jing Zhang; Jiantao Zhao; Yao Xu; Jing Liang; Peipei Chang; Fei Yan; Mingjun Li; Yan Liang; Zhirong Zou
Journal:  Front Plant Sci       Date:  2015-11-27       Impact factor: 5.753

  8 in total

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