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Plant J. 2019 Jan;97(2):391-403. doi: 10.1111/tpj.14095. Epub 2018 Oct 23.

A Solanum neorickii introgression population providing a powerful complement to the extensively characterized Solanum pennellii population.

Author information

1
Faculty of Agriculture, The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture at the Hebrew University of Jerusalem, Rehovot, 76100, Israel.
2
Department of Molecular Biology and Biochemistry, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora' - University of Malaga - Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Campus de Teatinos, 29071, Málaga, Spain.
3
Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.
4
Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.

Abstract

We present a complementary resource for trait fine-mapping in tomato to those based on the intra-specific cross between cultivated tomato and the wild tomato species Solanum pennellii, which have been extensively used for quantitative genetics in tomato over the last 20 years. The current population of backcross inbred lines (BILs) is composed of 107 lines derived after three backcrosses of progeny of the wild species Solanum neorickii (LA2133) and cultivated tomato (cultivar TA209) and is freely available to the scientific community. These S. neorickii BILs were genotyped using the 10K SolCAP single nucleotide polymorphism chip, and 3111 polymorphic markers were used to map recombination break points relative to the physical map of Solanum lycopersicum. The BILs harbor on average 4.3 introgressions per line, with a mean introgression length of 34.7 Mbp, allowing partitioning of the genome into 340 bins and thereby facilitating rapid trait mapping. We demonstrate the power of using this resource in comparison with archival data from the S. pennellii resources by carrying out metabolic quantitative trait locus analysis following gas chromatography-mass spectrometry on fruits harvested from the S. neorickii BILs. The metabolic candidate genes phenylalanine ammonia-lyase and cystathionine gamma-lyase were then tested and validated in F2 populations and via agroinfiltration-based overexpression in order to exemplify the fidelity of this method in identifying the genes that drive tomato metabolic phenotypes.

KEYWORDS:

Solanum lycopersicum ; Solanum neorickii ; backcross inbred lines; high-resolution mapping; methionine; phenylalanine; tomato

PMID:
30230636
DOI:
10.1111/tpj.14095

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