Russian Journal of Genetics

, Volume 55, Issue 2, pp 204–211 | Cite as

Comparative Analyses of Genetic Variation in a Tomato (Solanum lycopersicum L.) Germplasm Collection with Single Nucleotide Polymorphism and Insertion-Deletion Markers

  • T. Wang
  • H. T. Li
  • H. Zhu
  • S. Y. Qi
  • Y. M. Zhang
  • Z. J. ZhangEmail author
  • Q. D. ZouEmail author


Estimation of genetic diversity and relative relatedness in breeding materials is critical for improving breeding efficiency. To compare the ability of single nucleotide polymorphism (SNP) and insertion-deletion (InDel) markers for characterizing cultivated tomato germplasm, 120 SNPs and 109 InDels were used to genotype 191 tomato inbred lines representing cherry tomato, traditional varieties, and contemporary lines. The results showed that SNPs provided more information on genetic diversity than the InDels. The expected heterozygosity (He) of SNPs and InDels averaged 0.384 and 0.265, respectively, and the polymorphic information content (PIC) of these two markers was 0.302 and 0.221, respectively. Except for the cherry tomato group, the traditional group showed higher He and PIC for the SNP data, and the contemporary group had the higher InDel diversity. Population structure analysis revealed that the traditional varieties constituted distinct subpopulations relative to the contemporary lines with both marker systems, and three subpopulations were found within the traditional group with SNPs. Additionally, SNPs provided more resolution in discriminating the closely related tomato lines, and InDels may be more effective at resolving genotypes from an inter-gene pool. A lower correlation (R = 0.4155) was found between SNPs and InDels based on the genetic distances among accessions. The present study systematically compares the performance of SNP and InDel markers for population genetics analysis in cultivated tomato. These results contribute to the choice of molecular marker type for analysis of genetic diversity and other genetic studies in tomato.


tomato SNP InDel genetic variation population structure 



This work was supported by the National Key R&D Program of China (2017YFD0101902).


The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

Supplementary material

11177_2019_1067_MOESM1_ESM.xlsx (23 kb)


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Copyright information

© Pleiades Publishing, Inc. 2019

Authors and Affiliations

  1. 1.Institute of Vegetables, Liaoning Academy of Agricultural SciencesShenyangChina

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