Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat

Synthetic hexaploid wheats and their derived advanced lines were subject to empirical selection in developing genetically superior cultivars. To investigate genetic diversity, patterns of nucleotide diversity, population structure, and selection signatures during wheat breeding, we tested 422 wheat accessions, including 145 synthetic-derived wheats, 128 spring wheat cultivars, and 149 advanced breeding lines from Pakistan. A total of 18,589 high-quality GBS-SNPs were identified that were distributed across the A (40%), B (49%), and D (11%) genomes. Values of population diversity parameters were estimated across chromosomes and genomes. Genome-wide average values of genetic diversity and polymorphic information content were estimated to be 0.30 and 0.25, respectively. Neighbor-joining (NJ) tree, principal component analysis (PCA), and kinship analyses revealed that synthetic-derived wheats and advanced breeding lines were genetically diverse. The 422 accessions were not separated into distinct groups by NJ analysis and confirmed using the PCA. This conclusion was validated with both relative kinship and Rogers' genetic distance analyses. EigenGWAS analysis revealed that 32 unique genome regions had undergone selection. We found that 50% of the selected regions were located in the B-genome, 29% in the D-genome, and 21% in the A-genome. Previously known functional genes or QTL were found within the selection regions associated with phenology-related traits such as vernalization, adaptability, disease resistance, and yield-related traits. The selection signatures identified in the present investigation will be useful for understanding the targets of modern wheat breeding in Pakistan.

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Main Authors: Ali, M., Shan, D., Jiankang Wang, Sadiq, H., Awais Rasheed, He Zhonghu, Huihui Li
Format: Article biblioteca
Language:English
Published: Frontiers 2022
Subjects:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Bread Wheat, Genotyping by Sequencing, EigenGWAS, Gene Annotation, Genome-Wide Association Study, SOFT WHEAT, GENOTYPING, GENETIC DIVERSITY, SELECTION SIGNATURES, Genetic Resources,
Online Access:https://hdl.handle.net/10883/22463
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spelling dig-cimmyt-10883-224632024-02-22T14:27:47Z Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat Ali, M. Shan, D. Jiankang Wang Sadiq, H. Awais Rasheed He Zhonghu Huihui Li AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Bread Wheat Genotyping by Sequencing EigenGWAS Gene Annotation Genome-Wide Association Study SOFT WHEAT GENOTYPING GENETIC DIVERSITY SELECTION SIGNATURES Genetic Resources Synthetic hexaploid wheats and their derived advanced lines were subject to empirical selection in developing genetically superior cultivars. To investigate genetic diversity, patterns of nucleotide diversity, population structure, and selection signatures during wheat breeding, we tested 422 wheat accessions, including 145 synthetic-derived wheats, 128 spring wheat cultivars, and 149 advanced breeding lines from Pakistan. A total of 18,589 high-quality GBS-SNPs were identified that were distributed across the A (40%), B (49%), and D (11%) genomes. Values of population diversity parameters were estimated across chromosomes and genomes. Genome-wide average values of genetic diversity and polymorphic information content were estimated to be 0.30 and 0.25, respectively. Neighbor-joining (NJ) tree, principal component analysis (PCA), and kinship analyses revealed that synthetic-derived wheats and advanced breeding lines were genetically diverse. The 422 accessions were not separated into distinct groups by NJ analysis and confirmed using the PCA. This conclusion was validated with both relative kinship and Rogers' genetic distance analyses. EigenGWAS analysis revealed that 32 unique genome regions had undergone selection. We found that 50% of the selected regions were located in the B-genome, 29% in the D-genome, and 21% in the A-genome. Previously known functional genes or QTL were found within the selection regions associated with phenology-related traits such as vernalization, adaptability, disease resistance, and yield-related traits. The selection signatures identified in the present investigation will be useful for understanding the targets of modern wheat breeding in Pakistan. 2023-01-25T01:10:23Z 2023-01-25T01:10:23Z 2022 Article Published Version https://hdl.handle.net/10883/22463 10.3389/fpls.2022.877496 English https://datadryad.org/stash/share/ts92LqrXBJVsNhZEd8punew3Uv6irdDkdBuHxC4V4IQ Climate adaptation & mitigation Nutrition, health & food security Accelerated Breeding Genetic Innovation Hainan Yazhou Bay Seed Laboratory National Science Foundation of China CGIAR Trust Fund https://hdl.handle.net/10568/128240 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access Pakistan Switzerland Frontiers 13 1664-462X Frontiers in Plant Science 877496
institution CIMMYT
collection DSpace
country México
countrycode MX
component Bibliográfico
access En linea
databasecode dig-cimmyt
tag biblioteca
region America del Norte
libraryname CIMMYT Library
language English
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Bread Wheat
Genotyping by Sequencing
EigenGWAS
Gene Annotation
Genome-Wide Association Study
SOFT WHEAT
GENOTYPING
GENETIC DIVERSITY
SELECTION SIGNATURES
Genetic Resources
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Bread Wheat
Genotyping by Sequencing
EigenGWAS
Gene Annotation
Genome-Wide Association Study
SOFT WHEAT
GENOTYPING
GENETIC DIVERSITY
SELECTION SIGNATURES
Genetic Resources
spellingShingle AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Bread Wheat
Genotyping by Sequencing
EigenGWAS
Gene Annotation
Genome-Wide Association Study
SOFT WHEAT
GENOTYPING
GENETIC DIVERSITY
SELECTION SIGNATURES
Genetic Resources
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Bread Wheat
Genotyping by Sequencing
EigenGWAS
Gene Annotation
Genome-Wide Association Study
SOFT WHEAT
GENOTYPING
GENETIC DIVERSITY
SELECTION SIGNATURES
Genetic Resources
Ali, M.
Shan, D.
Jiankang Wang
Sadiq, H.
Awais Rasheed
He Zhonghu
Huihui Li
Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
description Synthetic hexaploid wheats and their derived advanced lines were subject to empirical selection in developing genetically superior cultivars. To investigate genetic diversity, patterns of nucleotide diversity, population structure, and selection signatures during wheat breeding, we tested 422 wheat accessions, including 145 synthetic-derived wheats, 128 spring wheat cultivars, and 149 advanced breeding lines from Pakistan. A total of 18,589 high-quality GBS-SNPs were identified that were distributed across the A (40%), B (49%), and D (11%) genomes. Values of population diversity parameters were estimated across chromosomes and genomes. Genome-wide average values of genetic diversity and polymorphic information content were estimated to be 0.30 and 0.25, respectively. Neighbor-joining (NJ) tree, principal component analysis (PCA), and kinship analyses revealed that synthetic-derived wheats and advanced breeding lines were genetically diverse. The 422 accessions were not separated into distinct groups by NJ analysis and confirmed using the PCA. This conclusion was validated with both relative kinship and Rogers' genetic distance analyses. EigenGWAS analysis revealed that 32 unique genome regions had undergone selection. We found that 50% of the selected regions were located in the B-genome, 29% in the D-genome, and 21% in the A-genome. Previously known functional genes or QTL were found within the selection regions associated with phenology-related traits such as vernalization, adaptability, disease resistance, and yield-related traits. The selection signatures identified in the present investigation will be useful for understanding the targets of modern wheat breeding in Pakistan.
format Article
topic_facet AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Bread Wheat
Genotyping by Sequencing
EigenGWAS
Gene Annotation
Genome-Wide Association Study
SOFT WHEAT
GENOTYPING
GENETIC DIVERSITY
SELECTION SIGNATURES
Genetic Resources
author Ali, M.
Shan, D.
Jiankang Wang
Sadiq, H.
Awais Rasheed
He Zhonghu
Huihui Li
author_facet Ali, M.
Shan, D.
Jiankang Wang
Sadiq, H.
Awais Rasheed
He Zhonghu
Huihui Li
author_sort Ali, M.
title Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
title_short Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
title_full Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
title_fullStr Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
title_full_unstemmed Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
title_sort genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
publisher Frontiers
publishDate 2022
url https://hdl.handle.net/10883/22463
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