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Euphytica (2016) 207:439451 DOI 10.1007/s10681-015-1567-0
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Web End = Genome-wide association-mapping for fruit quality traits in tomato
Jing Zhang . Jiantao Zhao . Yan Liang . Zhirong Zou
Received: 29 April 2015 / Accepted: 24 September 2015 / Published online: 7 October 2015 Springer Science+Business Media Dordrecht 2015
Abstract A diverse collection of 174 tomato plants was selected, including 123 accessions of cherry tomato (Solanum lycopersicum var. cerasiforme) and 51 accessions of heirloom cultivars (Solanum lycopersicum). Association-mapping for fruit nutritional and quality traits was conducted with 182 SSR using the mixed linear models. A total of 111 marker-trait associations (MTAs) (P \ 0.005) were detected for ten measured traits. Most association loci were detected for fruit equatorial diameter, ascorbic acid
and fruit weight, with 22, 22, 17 marker-trait associations, respectively. Co-localised quantitative trait loci (QTLs) and signicant associations are compared, such as fw2.2, fw11.1, ED2a, brx2.1, PD3a, and PD9a, which validate this study. Moreover, we also compared previous genome-wide association studies and conrmed certain identied MTAs (e.g. CON30D-472, Z1707-10D) or genes, such as Solyc11g071840.1.1. Our results conrm some QTLs and highlight some new candidate chromosome regions with potential for further tomato fruit quality breeding.
Keywords Tomato Fruit-quality traits
Association-mapping Quantitative trait loci
Introduction
Quantitative trait loci (QTLs) inuence a number of traits of tomato (Solanum lycopersicum), rendering them subject to continual change. This includes traits such as nutritional quality, avour, yield, and resistance to biotic and abiotic stresses (Tanksley et al. 1996; Causse et al. 2002, 2003). QTL analyses for many important agronomic traits, such as fruit yield, as well as for nutritional and sensory properties, such as avour, have been conducted on many of the worlds major crops including for tomato. These have used classical linkage analysis, with the support of conventional bi-parental linkage population mapping from a cross, resulting in a few hundred offspring
Jing Zhang and Jiantao Zhao contributed equally to the present study.
Electronic supplementary material The online version of this article (doi:http://dx.doi.org/10.1007/s10681-015-1567-0
Web End =10.1007/s10681-015-1567-0 ) contains supplementary material, which is available to authorized users.
J. Zhang J. Zhao Y. Liang (&) Z. Zou (&)
College of Horticulture, State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling 712100, Shaanxi, Chinae-mail: [email protected]