Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers

Knowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Plants
المؤلفون الرئيسيون: Abdulwahab S. Shaibu, Hassan Ibrahim, Zainab L. Miko, Ibrahim B. Mohammed, Sanusi G. Mohammed, Hauwa L. Yusuf, Alpha Y. Kamara, Lucky O. Omoigui, Benjamin Karikari
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2021-12-01
الموضوعات:
الوصول للمادة أونلاين:https://www.mdpi.com/2223-7747/11/1/68
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author Abdulwahab S. Shaibu
Hassan Ibrahim
Zainab L. Miko
Ibrahim B. Mohammed
Sanusi G. Mohammed
Hauwa L. Yusuf
Alpha Y. Kamara
Lucky O. Omoigui
Benjamin Karikari
author_facet Abdulwahab S. Shaibu
Hassan Ibrahim
Zainab L. Miko
Ibrahim B. Mohammed
Sanusi G. Mohammed
Hauwa L. Yusuf
Alpha Y. Kamara
Lucky O. Omoigui
Benjamin Karikari
author_sort Abdulwahab S. Shaibu
collection DOAJ
container_title Plants
description Knowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon’s diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.
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spelling doaj-art-e0216e54838f4c1ea967ca5642864ca12025-08-19T22:51:27ZengMDPI AGPlants2223-77472021-12-011116810.3390/plants11010068Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism MarkersAbdulwahab S. Shaibu0Hassan Ibrahim1Zainab L. Miko2Ibrahim B. Mohammed3Sanusi G. Mohammed4Hauwa L. Yusuf5Alpha Y. Kamara6Lucky O. Omoigui7Benjamin Karikari8Department of Agronomy, Bayero University Kano, Kano 700001, NigeriaDepartment of Agronomy, Bayero University Kano, Kano 700001, NigeriaDepartment of Agronomy, Bayero University Kano, Kano 700001, NigeriaDepartment of Agronomy, Bayero University Kano, Kano 700001, NigeriaCentre for Dryland Agriculture, Bayero University Kano, Kano 700001, NigeriaDepartment of Food Science and Technology, Bayero University Kano, Kano 700001, NigeriaInternational Institute of Tropical Agriculture, Ibadan 200211, NigeriaInternational Institute of Tropical Agriculture, Ibadan 200211, NigeriaDepartment of Crop Science, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, P.O. Box TL 1882, Tamale 00233, GhanaKnowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon’s diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.https://www.mdpi.com/2223-7747/11/1/68DArT-seqgenetic diversitypopulation structuresoybeanAMOVAAfrica
spellingShingle Abdulwahab S. Shaibu
Hassan Ibrahim
Zainab L. Miko
Ibrahim B. Mohammed
Sanusi G. Mohammed
Hauwa L. Yusuf
Alpha Y. Kamara
Lucky O. Omoigui
Benjamin Karikari
Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
DArT-seq
genetic diversity
population structure
soybean
AMOVA
Africa
title Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
title_full Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
title_fullStr Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
title_full_unstemmed Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
title_short Assessment of the Genetic Structure and Diversity of Soybean (<i>Glycine</i> <i>max</i> L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers
title_sort assessment of the genetic structure and diversity of soybean i glycine i i max i l germplasm using diversity array technology and single nucleotide polymorphism markers
topic DArT-seq
genetic diversity
population structure
soybean
AMOVA
Africa
url https://www.mdpi.com/2223-7747/11/1/68
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