Literature DB >> 35928401

Genome-wide core sets of SNP markers and Fluidigm assays for rapid and effective genotypic identification of Korean cultivars of lettuce (Lactuca sativa L.).

Jee-Soo Park1, Min-Young Kang1, Eun-Jo Shim1, JongHee Oh1, Kyoung-In Seo1, Kyung Seok Kim2, Sung-Chur Sim3, Sang-Min Chung4, Younghoon Park5, Gung Pyo Lee6, Won-Sik Lee1, Minkyung Kim3, Jin-Kee Jung1.   

Abstract

Lettuce is one of the economically important leaf vegetables and is cultivated mainly in temperate climate areas. Cultivar identification based on the distinctness, uniformity, and stability (DUS) test is a prerequisite for new cultivar registration. However, DUS testing based on morphological features is time-consuming, labor-intensive, and costly, and can also be influenced by environmental factors. Thus, molecular markers have also been used for the identification of genetic diversity as an effective, accurate, and stable method. Currently, genome-wide single nucleotide polymorphisms (SNPs) using next-generation sequencing technology are commonly applied in genetic research on diverse plant species. This study aimed to establish an effective and high-throughput cultivar identification system for lettuce using core sets of SNP markers developed by genotyping by sequencing (GBS). GBS identified 17 877 high-quality SNPs for 90 commercial lettuce cultivars. Genetic differentiation analyses based on the selected SNPs classified the lettuce cultivars into three main groups. Core sets of 192, 96, 48, and 24 markers were further selected and validated using the Fluidigm platform. Phylogenetic analyses based on all core sets of SNPs successfully discriminated individual cultivars that have been currently recognized. These core sets of SNP markers will support the construction of a DNA database of lettuce that can be useful for cultivar identification and purity testing, as well as DUS testing in the plant variety protection system. Additionally, this work will facilitate genetic research to improve breeding in lettuce.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nanjing Agricultural University.

Entities:  

Year:  2022        PMID: 35928401      PMCID: PMC9343917          DOI: 10.1093/hr/uhac119

Source DB:  PubMed          Journal:  Hortic Res        ISSN: 2052-7276            Impact factor:   7.291


  40 in total

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Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

2.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

Review 3.  Overview of Next-Generation Sequencing Technologies.

Authors:  Barton E Slatko; Andrew F Gardner; Frederick M Ausubel
Journal:  Curr Protoc Mol Biol       Date:  2018-04

4.  EST-SSR development from 5 Lactuca species and their use in studying genetic diversity among L. serriola biotypes.

Authors:  Dilpreet S Riar; Sachin Rustgi; Ian C Burke; Kulvinder S Gill; Joseph P Yenish
Journal:  J Hered       Date:  2010-12-10       Impact factor: 2.645

Review 5.  Insights into deployment of DNA markers in plant variety protection and registration.

Authors:  Seyed Hossein Jamali; James Cockram; Lee T Hickey
Journal:  Theor Appl Genet       Date:  2019-05-02       Impact factor: 5.699

6.  Development of EST-SSR markers for the study of population structure in lettuce (Lactuca sativa L.).

Authors:  Ivan Simko
Journal:  J Hered       Date:  2008-09-15       Impact factor: 2.645

Review 7.  Genotyping-by-sequencing (GBS), an ultimate marker-assisted selection (MAS) tool to accelerate plant breeding.

Authors:  Jiangfeng He; Xiaoqing Zhao; André Laroche; Zhen-Xiang Lu; HongKui Liu; Ziqin Li
Journal:  Front Plant Sci       Date:  2014-09-30       Impact factor: 5.753

8.  Genome assembly with in vitro proximity ligation data and whole-genome triplication in lettuce.

Authors:  Sebastian Reyes-Chin-Wo; Zhiwen Wang; Xinhua Yang; Alexander Kozik; Siwaret Arikit; Chi Song; Liangfeng Xia; Lutz Froenicke; Dean O Lavelle; María-José Truco; Rui Xia; Shilin Zhu; Chunyan Xu; Huaqin Xu; Xun Xu; Kyle Cox; Ian Korf; Blake C Meyers; Richard W Michelmore
Journal:  Nat Commun       Date:  2017-04-12       Impact factor: 14.919

9.  High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays.

Authors:  Jun Wang; Min Lin; Andrew Crenshaw; Amy Hutchinson; Belynda Hicks; Meredith Yeager; Sonja Berndt; Wen-Yi Huang; Richard B Hayes; Stephen J Chanock; Robert C Jones; Ramesh Ramakrishnan
Journal:  BMC Genomics       Date:  2009-11-28       Impact factor: 3.969

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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