Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars

Abstract Background Diversity in crops is fundamental for plant breeding efforts. An accurate assessment of genetic diversity, using molecular markers, such as single nucleotide polymorphism (SNP), must be able to reveal the structure of the population under study. A characterization of population s...

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Main Authors: Martin E. Tagliotti, Sofia I. Deperi, Maria C. Bedogni, Ruofang Zhang, Norma C. Manrique Carpintero, Joseph Coombs, David Douches, Marcelo A. Huarte
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Genetics
Subjects:
SNP
Online Access:http://link.springer.com/article/10.1186/s12863-017-0556-9
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spelling doaj-bb2db6cad4fe44f6904a282fe2aedfc52020-11-25T01:38:55ZengBMCBMC Genetics1471-21562018-01-0119111210.1186/s12863-017-0556-9Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivarsMartin E. Tagliotti0Sofia I. Deperi1Maria C. Bedogni2Ruofang Zhang3Norma C. Manrique Carpintero4Joseph Coombs5David Douches6Marcelo A. Huarte7Potato Research Group, Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA)Potato Research Group, Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA)Potato Research Group, Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA)Potato Engineering and Technology Research Centre, Inner Mongolia UniversityDepartment of Plant, Molecular Plant Sciences Bldg., Michigan State UniversityDepartment of Plant, Molecular Plant Sciences Bldg., Michigan State UniversityDepartment of Plant, Molecular Plant Sciences Bldg., Michigan State UniversityPotato Research Group, Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA)Abstract Background Diversity in crops is fundamental for plant breeding efforts. An accurate assessment of genetic diversity, using molecular markers, such as single nucleotide polymorphism (SNP), must be able to reveal the structure of the population under study. A characterization of population structure using easy measurable phenotypic traits could be a preliminary and low-cost approach to elucidate the genetic structure of a population. A potato population of 183 genotypes was evaluated using 4859 high-quality SNPs and 19 phenotypic traits commonly recorded in potato breeding programs. A Bayesian approach, Minimum Spanning Tree (MST) and diversity estimator, as well as multivariate analysis based on phenotypic traits, were adopted to assess the population structure. Results Analysis based on molecular markers showed groups linked to the phylogenetic relationship among the germplasm as well as the link with the breeding program that provided the material. Diversity estimators consistently structured the population according to a priori group estimation. The phenotypic traits only discriminated main groups with contrasting characteristics, as different subspecies, ploidy level or membership in a breeding program, but were not able to discriminate within groups. A joint molecular and phenotypic characterization analysis discriminated groups based on phenotypic classification, taxonomic category, provenance source of genotypes and genetic background. Conclusions This paper shows the significant level of diversity existing in a parental population of potato as well as the putative phylogenetic relationships among the genotypes. The use of easily measurable phenotypic traits among highly contrasting genotypes could be a reasonable approach to estimate population structure in the initial phases of a potato breeding program.http://link.springer.com/article/10.1186/s12863-017-0556-9Potato breedingPhenotypic traitGenetic diversitySNPPopulation structure
collection DOAJ
language English
format Article
sources DOAJ
author Martin E. Tagliotti
Sofia I. Deperi
Maria C. Bedogni
Ruofang Zhang
Norma C. Manrique Carpintero
Joseph Coombs
David Douches
Marcelo A. Huarte
spellingShingle Martin E. Tagliotti
Sofia I. Deperi
Maria C. Bedogni
Ruofang Zhang
Norma C. Manrique Carpintero
Joseph Coombs
David Douches
Marcelo A. Huarte
Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
BMC Genetics
Potato breeding
Phenotypic trait
Genetic diversity
SNP
Population structure
author_facet Martin E. Tagliotti
Sofia I. Deperi
Maria C. Bedogni
Ruofang Zhang
Norma C. Manrique Carpintero
Joseph Coombs
David Douches
Marcelo A. Huarte
author_sort Martin E. Tagliotti
title Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
title_short Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
title_full Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
title_fullStr Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
title_full_unstemmed Use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
title_sort use of easy measurable phenotypic traits as a complementary approach to evaluate the population structure and diversity in a high heterozygous panel of tetraploid clones and cultivars
publisher BMC
series BMC Genetics
issn 1471-2156
publishDate 2018-01-01
description Abstract Background Diversity in crops is fundamental for plant breeding efforts. An accurate assessment of genetic diversity, using molecular markers, such as single nucleotide polymorphism (SNP), must be able to reveal the structure of the population under study. A characterization of population structure using easy measurable phenotypic traits could be a preliminary and low-cost approach to elucidate the genetic structure of a population. A potato population of 183 genotypes was evaluated using 4859 high-quality SNPs and 19 phenotypic traits commonly recorded in potato breeding programs. A Bayesian approach, Minimum Spanning Tree (MST) and diversity estimator, as well as multivariate analysis based on phenotypic traits, were adopted to assess the population structure. Results Analysis based on molecular markers showed groups linked to the phylogenetic relationship among the germplasm as well as the link with the breeding program that provided the material. Diversity estimators consistently structured the population according to a priori group estimation. The phenotypic traits only discriminated main groups with contrasting characteristics, as different subspecies, ploidy level or membership in a breeding program, but were not able to discriminate within groups. A joint molecular and phenotypic characterization analysis discriminated groups based on phenotypic classification, taxonomic category, provenance source of genotypes and genetic background. Conclusions This paper shows the significant level of diversity existing in a parental population of potato as well as the putative phylogenetic relationships among the genotypes. The use of easily measurable phenotypic traits among highly contrasting genotypes could be a reasonable approach to estimate population structure in the initial phases of a potato breeding program.
topic Potato breeding
Phenotypic trait
Genetic diversity
SNP
Population structure
url http://link.springer.com/article/10.1186/s12863-017-0556-9
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