Literature DB >> 26550601

Genetic diversity and population structure in Physalis peruviana and related taxa based on InDels and SNPs derived from COSII and IRG markers.

Gina A Garzón-Martínez1, Jaime A Osorio-Guarín1, Paola Delgadillo-Durán1, Franklin Mayorga1, Felix E Enciso-Rodríguez1, David Landsman2, Leonardo Mariño-Ramírez2, Luz Stella Barrero3.   

Abstract

The genus Physalis is common in the Americas and includes several economically important species, among them Physalis peruviana that produces appetizing edible fruits. We studied the genetic diversity and population structure of P. peruviana and characterized 47 accessions of this species along with 13 accessions of related taxa consisting of 222 individuals from the Colombian Corporation of Agricultural Research (CORPOICA) germplasm collection, using Conserved Orthologous Sequences (COSII) and Immunity Related Genes (IRGs). In addition, 642 Single Nucleotide Polymorphism (SNPs) markers were identified and used for the genetic diversity analysis. A total of 121 alleles were detected in 24 InDels loci ranging from 2 to 9 alleles per locus, with an average of 5.04 alleles per locus. The average number of alleles in the SNP markers was two. The observed heterozygosity for P. peruviana with InDel and SNP markers was higher (0.48 and 0.59) than the expected heterozygosity (0.30 and 0.41). Interestingly, the observed heterozygosity in related taxa (0.4 and 0.12) was lower than the expected heterozygosity (0.59 and 0.25). The coefficient of population differentiation FST was 0.143 (InDels) and 0.038 (SNPs), showing a relatively low level of genetic differentiation among P. peruviana and related taxa. Higher levels of genetic variation were instead observed within populations based on the AMOVA analysis. Population structure analysis supported the presence of two main groups and PCA analysis based on SNP markers revealed two distinct clusters in the P. peruviana accessions corresponding to their state of cultivation. In this study, we identified molecular markers useful to detect genetic variation in Physalis germplasm for assisting conservation and crossbreeding strategies.

Entities:  

Keywords:  COSII; Cape gooseberry; Genetic variation; IRGs; SNPs; germplasm

Year:  2015        PMID: 26550601      PMCID: PMC4630809          DOI: 10.1016/j.plgene.2015.09.003

Source DB:  PubMed          Journal:  Plant Gene        ISSN: 2352-4073


  31 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Philadelphicalactones C and D and other cytotoxic compounds from Physalis philadelphica.

Authors:  Emma Maldonado; Ana L Pérez-Castorena; Consuelo Garcés; Mahinda Martínez
Journal:  Steroids       Date:  2011-04-07       Impact factor: 2.668

3.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

4.  Effects of ascertainment bias and marker number on estimations of barley diversity from high-throughput SNP genotype data.

Authors:  M Moragues; J Comadran; R Waugh; I Milne; A J Flavell; Joanne R Russell
Journal:  Theor Appl Genet       Date:  2010-02-16       Impact factor: 5.699

5.  Advances in plant genotyping: where the future will take us.

Authors:  Dhwani A Patel; Manuel Zander; Jessica Dalton-Morgan; Jacqueline Batley
Journal:  Methods Mol Biol       Date:  2015

6.  4beta-Hydroxywithanolide E from Physalis peruviana (golden berry) inhibits growth of human lung cancer cells through DNA damage, apoptosis and G2/M arrest.

Authors:  Ching-Yu Yen; Chien-Chih Chiu; Fang-Rong Chang; Jeff Yi-Fu Chen; Chi-Ching Hwang; You-Cheng Hseu; Hsin-Ling Yang; Alan Yueh-Luen Lee; Ming-Tz Tsai; Zong-Lun Guo; Yu-Shan Cheng; Yin-Chang Liu; Yu-Hsuan Lan; Yu-Ching Chang; Ying-Chin Ko; Hsueh-Wei Chang; Yang-Chang Wu
Journal:  BMC Cancer       Date:  2010-02-18       Impact factor: 4.430

7.  EST, COSII, and arbitrary gene markers give similar estimates of nucleotide diversity in cultivated tomato (Solanum lycopersicum L.).

Authors:  Joanne A Labate; Larry D Robertson; Feinan Wu; Steven D Tanksley; Angela M Baldo
Journal:  Theor Appl Genet       Date:  2009-01-20       Impact factor: 5.699

8.  Population structure and genetic diversity characterization of a sunflower association mapping population using SSR and SNP markers.

Authors:  Carla V Filippi; Natalia Aguirre; Juan G Rivas; Jeremias Zubrzycki; Andrea Puebla; Diego Cordes; Maria V Moreno; Corina M Fusari; Daniel Alvarez; Ruth A Heinz; Horacio E Hopp; Norma B Paniego; Veronica V Lia
Journal:  BMC Plant Biol       Date:  2015-02-13       Impact factor: 4.215

9.  Genetic diversity and population structure assessed by SSR and SNP markers in a large germplasm collection of grape.

Authors:  Francesco Emanuelli; Silvia Lorenzi; Lukasz Grzeskowiak; Valentina Catalano; Marco Stefanini; Michela Troggio; Sean Myles; José M Martinez-Zapater; Eva Zyprian; Flavia M Moreira; M Stella Grando
Journal:  BMC Plant Biol       Date:  2013-03-07       Impact factor: 4.215

10.  Identification of immunity related genes to study the Physalis peruviana--Fusarium oxysporum pathosystem.

Authors:  Felix E Enciso-Rodríguez; Carolina González; Edwin A Rodríguez; Camilo E López; David Landsman; Luz Stella Barrero; Leonardo Mariño-Ramírez
Journal:  PLoS One       Date:  2013-07-03       Impact factor: 3.240

View more
  5 in total

1.  Genetic diversity and population structure of Cucumis sativus L. by using SSR markers.

Authors:  Aejaz Ahmad Dar; Reetika Mahajan; Padma Lay; Susheel Sharma
Journal:  3 Biotech       Date:  2017-09-12       Impact factor: 2.406

2.  Association analysis for disease resistance to Fusarium oxysporum in cape gooseberry (Physalis peruviana L).

Authors:  Jaime A Osorio-Guarín; Felix E Enciso-Rodríguez; Carolina González; Noé Fernández-Pozo; Lukas A Mueller; Luz Stella Barrero
Journal:  BMC Genomics       Date:  2016-03-18       Impact factor: 3.969

3.  Workflow and web application for annotating NCBI BioProject transcriptome data.

Authors:  Roberto Vera Alvarez; Newton Medeiros Vidal; Gina A Garzón-Martínez; Luz S Barrero; David Landsman; Leonardo Mariño-Ramírez
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

4.  Development of Species-Specific SCAR Markers, Based on a SCoT Analysis, to Authenticate Physalis (Solanaceae) Species.

Authors:  Shangguo Feng; Yujia Zhu; Chenliang Yu; Kaili Jiao; Mengying Jiang; Jiangjie Lu; Chenjia Shen; Qicai Ying; Huizhong Wang
Journal:  Front Genet       Date:  2018-05-29       Impact factor: 4.599

5.  Association Study Reveals Novel Genes Related to Yield and Quality of Fruit in Cape Gooseberry (Physalis peruviana L.).

Authors:  Francy L García-Arias; Jaime A Osorio-Guarín; Victor M Núñez Zarantes
Journal:  Front Plant Sci       Date:  2018-03-20       Impact factor: 5.753

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.