Genetic diversity and population structure studies of West African sweetpotato [Ipomoea batatas (L.) Lam] collection using DArTseq

Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria...

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Veröffentlicht in:PloS one 2025, Vol.20 (1), p.e0312384
Hauptverfasser: Mahaman Mourtala, Issa Zakari, Gouda, Arnaud Comlan, Baina, Dan-Jimo, Maxwell, Nwankwo Innocent Ifeanyi, Adje, Charlotte O A, Baragé, Moussa, Happiness, Oselebe Ogba
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creator Mahaman Mourtala, Issa Zakari
Gouda, Arnaud Comlan
Baina, Dan-Jimo
Maxwell, Nwankwo Innocent Ifeanyi
Adje, Charlotte O A
Baragé, Moussa
Happiness, Oselebe Ogba
description Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria, and Benin have a huge diversity of sweetpotato accessions whose potential has not fully been explored to date. Diversity Arrays Technology (DArTseq), a Genotyping by Sequencing (GBS) method, has been developed and enables genotyping with high-density single nucleotide polymorphisms (SNPs) in different crop species. The aim of this study was to assess the genetic diversity and population structure of the West African sweetpotato collection using Diversity Arrays Technology through Genotyping by Sequencing (GBS). 29,523 Diversity Arrays Technology (DArTseq) single nucleotide polymorphism markers were used to genotype 271 sweetpotato accessions. Genetic diversity analysis revealed an average polymorphic information content (PIC) value of 0.39, a minor allele frequency of 0.26, and an observed heterozygosity of 10%. The highest value of polymorphic information content (PIC) (0.41) was observed in chromosomes 4, while the highest proportion of heterozygous (He) (0.18) was observed in chromosomes 11. Molecular diversity revealed high values of polymorphic sites (Ps), theta (θ), and nucleotide diversity (π) with 0.973, 0.158, and 0.086, respectively, which indicated high genetic variation. The pairs of genetic distances revealed a range from 0.08 to 0.47 with an overall average of 0.34. Population structure analysis divided the 271 accessions into four populations (population 1 was characterised by a mixture of accessions from all countries; population 2, mostly comprised of Nigerian breeding lines; population 3 contained exclusively landraces from Benin; and population 4 was composed by only landraces from West African countries) at K = 4, and analysis of molecular variance (AMOVA) based on PhiPT values showed that most of the variation was explained when accessions were categorized based on population structure at K = 4 (25.25%) and based on cluster analysis (19.43%). Genetic distance showed that group 4 (which constituted by landraces of Niger and Benin) was genetically distant (0.428) from groups 2 (formed by 75% of breeding lines of Nigeria), while group 1 was the closest (0.182) to group 2. This study employed 7,591 DArTseq-based SNP markers, revealing extensiv
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Lam] collection using DArTseq</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Mahaman Mourtala, Issa Zakari ; Gouda, Arnaud Comlan ; Baina, Dan-Jimo ; Maxwell, Nwankwo Innocent Ifeanyi ; Adje, Charlotte O A ; Baragé, Moussa ; Happiness, Oselebe Ogba</creator><contributor>Rahimi, Mehdi</contributor><creatorcontrib>Mahaman Mourtala, Issa Zakari ; Gouda, Arnaud Comlan ; Baina, Dan-Jimo ; Maxwell, Nwankwo Innocent Ifeanyi ; Adje, Charlotte O A ; Baragé, Moussa ; Happiness, Oselebe Ogba ; Rahimi, Mehdi</creatorcontrib><description>Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria, and Benin have a huge diversity of sweetpotato accessions whose potential has not fully been explored to date. Diversity Arrays Technology (DArTseq), a Genotyping by Sequencing (GBS) method, has been developed and enables genotyping with high-density single nucleotide polymorphisms (SNPs) in different crop species. The aim of this study was to assess the genetic diversity and population structure of the West African sweetpotato collection using Diversity Arrays Technology through Genotyping by Sequencing (GBS). 29,523 Diversity Arrays Technology (DArTseq) single nucleotide polymorphism markers were used to genotype 271 sweetpotato accessions. Genetic diversity analysis revealed an average polymorphic information content (PIC) value of 0.39, a minor allele frequency of 0.26, and an observed heterozygosity of 10%. The highest value of polymorphic information content (PIC) (0.41) was observed in chromosomes 4, while the highest proportion of heterozygous (He) (0.18) was observed in chromosomes 11. Molecular diversity revealed high values of polymorphic sites (Ps), theta (θ), and nucleotide diversity (π) with 0.973, 0.158, and 0.086, respectively, which indicated high genetic variation. The pairs of genetic distances revealed a range from 0.08 to 0.47 with an overall average of 0.34. Population structure analysis divided the 271 accessions into four populations (population 1 was characterised by a mixture of accessions from all countries; population 2, mostly comprised of Nigerian breeding lines; population 3 contained exclusively landraces from Benin; and population 4 was composed by only landraces from West African countries) at K = 4, and analysis of molecular variance (AMOVA) based on PhiPT values showed that most of the variation was explained when accessions were categorized based on population structure at K = 4 (25.25%) and based on cluster analysis (19.43%). Genetic distance showed that group 4 (which constituted by landraces of Niger and Benin) was genetically distant (0.428) from groups 2 (formed by 75% of breeding lines of Nigeria), while group 1 was the closest (0.182) to group 2. This study employed 7,591 DArTseq-based SNP markers, revealing extensive polymorphism and variation within and between populations. Variability among countries of origin (11.42%) exceeded that based on biological status (9.13%) and storage root flesh colour (7.90%), emphasizing the impact of migration on genetic diversity. Population structure analysis using principal component analysis (PCA), Neighbor-Joining (NJ) tree, and STRUCTURE at K = 4 grouped 271 accessions into distinct clusters, irrespective of their geographic origins, indicating widespread genetic exchange. Group 4, dominated by landraces (95%), showed significant genetic differentiation (Nei's Gst = 0.428) from Group 2, mainly comprising breeding lines, suggesting their potential as heterotic groups for breeding initiatives like HEBS or ABS.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0312384</identifier><identifier>PMID: 39752435</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adaptability ; Africa, Western ; Analysis ; Arrays ; Biological diversity ; Biomarkers ; Breeding ; Chromosomes ; Cluster analysis ; Deoxyribonucleic acid ; Developing countries ; DNA ; Gene frequency ; Gene polymorphism ; Gene sequencing ; Genetic analysis ; Genetic aspects ; Genetic distance ; Genetic diversity ; Genetic Variation ; Genetics, Population ; Genomes ; Genotype ; Genotyping ; Genotyping Techniques - methods ; Heterozygosity ; Impact analysis ; Ipomoea batatas ; Ipomoea batatas - genetics ; LDCs ; Morphology ; Nucleotides ; Phylogeny ; Plant breeding ; Polymorphism ; Polymorphism, Single Nucleotide ; Population density ; Population genetics ; Population structure ; Population studies ; Populations ; Principal components analysis ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Small farms ; Structural analysis ; Sweet potatoes ; Technology assessment</subject><ispartof>PloS one, 2025, Vol.20 (1), p.e0312384</ispartof><rights>Copyright: © 2025 Mahaman Mourtala et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2025 Public Library of Science</rights><rights>2025 Mahaman Mourtala et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2025 Mahaman Mourtala et al. 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Lam] collection using DArTseq</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria, and Benin have a huge diversity of sweetpotato accessions whose potential has not fully been explored to date. Diversity Arrays Technology (DArTseq), a Genotyping by Sequencing (GBS) method, has been developed and enables genotyping with high-density single nucleotide polymorphisms (SNPs) in different crop species. 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Population structure analysis divided the 271 accessions into four populations (population 1 was characterised by a mixture of accessions from all countries; population 2, mostly comprised of Nigerian breeding lines; population 3 contained exclusively landraces from Benin; and population 4 was composed by only landraces from West African countries) at K = 4, and analysis of molecular variance (AMOVA) based on PhiPT values showed that most of the variation was explained when accessions were categorized based on population structure at K = 4 (25.25%) and based on cluster analysis (19.43%). Genetic distance showed that group 4 (which constituted by landraces of Niger and Benin) was genetically distant (0.428) from groups 2 (formed by 75% of breeding lines of Nigeria), while group 1 was the closest (0.182) to group 2. This study employed 7,591 DArTseq-based SNP markers, revealing extensive polymorphism and variation within and between populations. Variability among countries of origin (11.42%) exceeded that based on biological status (9.13%) and storage root flesh colour (7.90%), emphasizing the impact of migration on genetic diversity. Population structure analysis using principal component analysis (PCA), Neighbor-Joining (NJ) tree, and STRUCTURE at K = 4 grouped 271 accessions into distinct clusters, irrespective of their geographic origins, indicating widespread genetic exchange. Group 4, dominated by landraces (95%), showed significant genetic differentiation (Nei's Gst = 0.428) from Group 2, mainly comprising breeding lines, suggesting their potential as heterotic groups for breeding initiatives like HEBS or ABS.</description><subject>Adaptability</subject><subject>Africa, Western</subject><subject>Analysis</subject><subject>Arrays</subject><subject>Biological diversity</subject><subject>Biomarkers</subject><subject>Breeding</subject><subject>Chromosomes</subject><subject>Cluster analysis</subject><subject>Deoxyribonucleic acid</subject><subject>Developing countries</subject><subject>DNA</subject><subject>Gene frequency</subject><subject>Gene polymorphism</subject><subject>Gene sequencing</subject><subject>Genetic analysis</subject><subject>Genetic aspects</subject><subject>Genetic distance</subject><subject>Genetic diversity</subject><subject>Genetic Variation</subject><subject>Genetics, Population</subject><subject>Genomes</subject><subject>Genotype</subject><subject>Genotyping</subject><subject>Genotyping Techniques - methods</subject><subject>Heterozygosity</subject><subject>Impact analysis</subject><subject>Ipomoea batatas</subject><subject>Ipomoea batatas - genetics</subject><subject>LDCs</subject><subject>Morphology</subject><subject>Nucleotides</subject><subject>Phylogeny</subject><subject>Plant breeding</subject><subject>Polymorphism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population density</subject><subject>Population genetics</subject><subject>Population structure</subject><subject>Population studies</subject><subject>Populations</subject><subject>Principal components analysis</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Small farms</subject><subject>Structural analysis</subject><subject>Sweet potatoes</subject><subject>Technology assessment</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp1UsFu1DAUjBCIlsIfILDEBQ4b7Nixk-OqlLLSSlyKOCBkvTgvK6-SOLWdol758nq7aQUSyAfbTzPzxs-TZa8ZzRlX7OPezX6EPp_ciDnlrOCVeJKdspoXK1lQ_vSP80n2IoQ9pSWvpHyenfBalYXg5Wn2-xJHjNaQ1t6gDzbeEhhbMrlp7iFaN5IQ_Wzi7DGd5tZiIK4j3zFEsu68NZAQvxDj5CJER35sJjc4BNJAukMg77f5B7KF4Scxru_R3GvOwY478mntrwJev8yeddAHfLXsZ9m3zxdX519W26-Xm_P1dmWKuhYraKoOkmkUCIVivDUKZWV43YFqlGoaxqRE2UCjKoHSsJqqisqWGlPWSAU_y94edafeBb2ML2jOSsZlLcoiITZHROtgrydvB_C32oHV9wXndxp8GlaPuiyFUXXZtam1UJyCaepKctOUqaqQJ613Szfvruc0rv90XFA7SKJ27Fz0YAYbjF5XRVFwJcTBef4PVFotDtak_-9sqv9FEEeC8S4Ej93jYxjVh_Q8mNGH9OglPYn2ZvE8NwO2j6SHuPA7-6rB0w</recordid><startdate>2025</startdate><enddate>2025</enddate><creator>Mahaman Mourtala, Issa Zakari</creator><creator>Gouda, Arnaud Comlan</creator><creator>Baina, Dan-Jimo</creator><creator>Maxwell, Nwankwo Innocent Ifeanyi</creator><creator>Adje, Charlotte O A</creator><creator>Baragé, Moussa</creator><creator>Happiness, Oselebe Ogba</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0001-5004-5229</orcidid></search><sort><creationdate>2025</creationdate><title>Genetic diversity and population structure studies of West African sweetpotato [Ipomoea batatas (L.) Lam] collection using DArTseq</title><author>Mahaman Mourtala, Issa Zakari ; Gouda, Arnaud Comlan ; Baina, Dan-Jimo ; Maxwell, Nwankwo Innocent Ifeanyi ; Adje, Charlotte O A ; Baragé, Moussa ; Happiness, Oselebe Ogba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2994-ab8fa243e4ea2713dc7e68c39fa7b77bb1166e6bab784e6c1907806d0cc59e043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adaptability</topic><topic>Africa, Western</topic><topic>Analysis</topic><topic>Arrays</topic><topic>Biological diversity</topic><topic>Biomarkers</topic><topic>Breeding</topic><topic>Chromosomes</topic><topic>Cluster analysis</topic><topic>Deoxyribonucleic acid</topic><topic>Developing countries</topic><topic>DNA</topic><topic>Gene frequency</topic><topic>Gene polymorphism</topic><topic>Gene sequencing</topic><topic>Genetic analysis</topic><topic>Genetic aspects</topic><topic>Genetic distance</topic><topic>Genetic diversity</topic><topic>Genetic Variation</topic><topic>Genetics, Population</topic><topic>Genomes</topic><topic>Genotype</topic><topic>Genotyping</topic><topic>Genotyping Techniques - methods</topic><topic>Heterozygosity</topic><topic>Impact analysis</topic><topic>Ipomoea batatas</topic><topic>Ipomoea batatas - genetics</topic><topic>LDCs</topic><topic>Morphology</topic><topic>Nucleotides</topic><topic>Phylogeny</topic><topic>Plant breeding</topic><topic>Polymorphism</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Population density</topic><topic>Population genetics</topic><topic>Population structure</topic><topic>Population studies</topic><topic>Populations</topic><topic>Principal components analysis</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Small farms</topic><topic>Structural analysis</topic><topic>Sweet potatoes</topic><topic>Technology assessment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahaman Mourtala, Issa Zakari</creatorcontrib><creatorcontrib>Gouda, Arnaud Comlan</creatorcontrib><creatorcontrib>Baina, Dan-Jimo</creatorcontrib><creatorcontrib>Maxwell, Nwankwo Innocent Ifeanyi</creatorcontrib><creatorcontrib>Adje, Charlotte O A</creatorcontrib><creatorcontrib>Baragé, Moussa</creatorcontrib><creatorcontrib>Happiness, Oselebe Ogba</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; 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Lam] collection using DArTseq</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2025</date><risdate>2025</risdate><volume>20</volume><issue>1</issue><spage>e0312384</spage><pages>e0312384-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria, and Benin have a huge diversity of sweetpotato accessions whose potential has not fully been explored to date. Diversity Arrays Technology (DArTseq), a Genotyping by Sequencing (GBS) method, has been developed and enables genotyping with high-density single nucleotide polymorphisms (SNPs) in different crop species. The aim of this study was to assess the genetic diversity and population structure of the West African sweetpotato collection using Diversity Arrays Technology through Genotyping by Sequencing (GBS). 29,523 Diversity Arrays Technology (DArTseq) single nucleotide polymorphism markers were used to genotype 271 sweetpotato accessions. Genetic diversity analysis revealed an average polymorphic information content (PIC) value of 0.39, a minor allele frequency of 0.26, and an observed heterozygosity of 10%. The highest value of polymorphic information content (PIC) (0.41) was observed in chromosomes 4, while the highest proportion of heterozygous (He) (0.18) was observed in chromosomes 11. Molecular diversity revealed high values of polymorphic sites (Ps), theta (θ), and nucleotide diversity (π) with 0.973, 0.158, and 0.086, respectively, which indicated high genetic variation. The pairs of genetic distances revealed a range from 0.08 to 0.47 with an overall average of 0.34. Population structure analysis divided the 271 accessions into four populations (population 1 was characterised by a mixture of accessions from all countries; population 2, mostly comprised of Nigerian breeding lines; population 3 contained exclusively landraces from Benin; and population 4 was composed by only landraces from West African countries) at K = 4, and analysis of molecular variance (AMOVA) based on PhiPT values showed that most of the variation was explained when accessions were categorized based on population structure at K = 4 (25.25%) and based on cluster analysis (19.43%). Genetic distance showed that group 4 (which constituted by landraces of Niger and Benin) was genetically distant (0.428) from groups 2 (formed by 75% of breeding lines of Nigeria), while group 1 was the closest (0.182) to group 2. This study employed 7,591 DArTseq-based SNP markers, revealing extensive polymorphism and variation within and between populations. Variability among countries of origin (11.42%) exceeded that based on biological status (9.13%) and storage root flesh colour (7.90%), emphasizing the impact of migration on genetic diversity. Population structure analysis using principal component analysis (PCA), Neighbor-Joining (NJ) tree, and STRUCTURE at K = 4 grouped 271 accessions into distinct clusters, irrespective of their geographic origins, indicating widespread genetic exchange. Group 4, dominated by landraces (95%), showed significant genetic differentiation (Nei's Gst = 0.428) from Group 2, mainly comprising breeding lines, suggesting their potential as heterotic groups for breeding initiatives like HEBS or ABS.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39752435</pmid><doi>10.1371/journal.pone.0312384</doi><orcidid>https://orcid.org/0009-0001-5004-5229</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Adaptability
Africa, Western
Analysis
Arrays
Biological diversity
Biomarkers
Breeding
Chromosomes
Cluster analysis
Deoxyribonucleic acid
Developing countries
DNA
Gene frequency
Gene polymorphism
Gene sequencing
Genetic analysis
Genetic aspects
Genetic distance
Genetic diversity
Genetic Variation
Genetics, Population
Genomes
Genotype
Genotyping
Genotyping Techniques - methods
Heterozygosity
Impact analysis
Ipomoea batatas
Ipomoea batatas - genetics
LDCs
Morphology
Nucleotides
Phylogeny
Plant breeding
Polymorphism
Polymorphism, Single Nucleotide
Population density
Population genetics
Population structure
Population studies
Populations
Principal components analysis
Single nucleotide polymorphisms
Single-nucleotide polymorphism
Small farms
Structural analysis
Sweet potatoes
Technology assessment
title Genetic diversity and population structure studies of West African sweetpotato [Ipomoea batatas (L.) Lam] collection using DArTseq
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