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Khan A, Ahmad M, Shani MY, Khan MKR, Rahimi M, Tan DKY. Identifying the physiological traits associated with DNA marker using genome wide association in wheat under heat stress. Sci Rep 2024; 14:20134. [PMID: 39209932 PMCID: PMC11362520 DOI: 10.1038/s41598-024-70630-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024] Open
Abstract
Heat stress poses a significant environmental challenge that profoundly impacts wheat productivity. It disrupts vital physiological processes such as photosynthesis, by impeding the functionality of the photosynthetic apparatus and compromising plasma membrane stability, thereby detrimentally affecting grain development in wheat. The scarcity of identified marker trait associations pertinent to thermotolerance presents a formidable obstacle in the development of marker-assisted selection strategies against heat stress. To address this, wheat accessions were systematically exposed to both normal and heat stress conditions and phenotypic data were collected on physiological traits including proline content, canopy temperature depression, cell membrane injury, photosynthetic rate, transpiration rate (at vegetative and reproductive stage and 'stay-green'. Principal component analysis elucidated the most significant contributors being proline content, transpiration rate, and canopy temperature depression, which exhibited a synergistic relationship with grain yield. Remarkably, cluster analysis delineated the wheat accessions into four discrete groups based on physiological attributes. Moreover, to explore the relationship between physiological traits and DNA markers, 158 wheat accessions were genotyped with 186 SSRs. Allelic frequency and polymorphic information content value were found to be highest on genome A (4.94 and 0.688), chromosome 1A (5.00 and 0.712), and marker Xgwm44 (13.0 and 0.916). Population structure, principal coordinate analysis and cluster analysis also partitioned the wheat accessions into four subpopulations based on genotypic data, highlighting their genetic homogeneity. Population diversity and presence of linkage disequilibrium established the suitability of population for association mapping. Additionally, linkage disequilibrium decay was most pronounced within a 15-20 cM region on chromosome 1A. Association mapping revealed highly significant marker trait associations at Bonferroni correction P < 0.00027. Markers Xwmc418 (located on chromosome 3D) and Xgwm233 (chromosome 7A) demonstrated associations with transpiration rate, while marker Xgwm494 (chromosome 3A) exhibited an association with photosynthetic rates at both vegetative and reproductive stages under heat stress conditions. Additionally, markers Xwmc201 (chromosome 6A) and Xcfa2129 (chromosome 1A) displayed robust associations with canopy temperature depression, while markers Xbarc163 (chromosome 4B) and Xbarc49 (chromosome 5A) were strongly associated with cell membrane injury at both stages. Notably, marker Xbarc49 (chromosome 5A) exhibited a significant association with the 'stay-green' trait under heat stress conditions. These results offers the potential utility in marker-assisted selection, gene pyramiding and genomic selection models to predict performance of wheat accession under heat stress conditions.
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Affiliation(s)
- Adeel Khan
- Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38950, Pakistan.
- Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan.
| | - Munir Ahmad
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - Muhammad Yousaf Shani
- Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38950, Pakistan
- Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Muhammad Kashif Riaz Khan
- Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38950, Pakistan
- Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Mehdi Rahimi
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
| | - Daniel K Y Tan
- Plant Breeding Institute, Sydney Institute of Agriculture, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
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Tang W, Dong Z, Gao L, Wang X, Li T, Sun C, Chu Z, Cui D. Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers. BMC PLANT BIOLOGY 2023; 23:542. [PMID: 37924000 PMCID: PMC10625233 DOI: 10.1186/s12870-023-04537-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Henan is the province with the greatest wheat production in China. Although more than 100 cultivars are used for production, many cultivars are still insufficient in quality, disease resistance, adaptability and yield potential. To overcome these limitations, it is necessary to constantly breed new cultivars to maintain the continuous and stable growth of wheat yield and quality. To improve breeding efficiency, it is important to evaluate the genetic diversity and population genetic structure of its cultivars. However, there are no such reports from Henan Province. Therefore, in this study, single nucleotide polymorphism (SNP) markers were used to study the population genetic structure and genetic diversity of 243 wheat cultivars included in a comparative test of wheat varieties in Henan Province, aiming to provide a reference for the utilization of backbone parents and the selection of hybrid combinations in the genetic improvement of wheat cultivars. RESULTS In this study, 243 wheat cultivars from Henan Province of China were genotyped by the Affymetrix Axiom Wheat660K SNP chip, and 21 characteristics were investigated. The cultivars were divided into ten subgroups; each subgroup had distinct characteristics and unique utilization value. Furthermore, based on principal component analysis, Zhoumai cultivars were the main hybrid parents, followed by Aikang 58, high-quality cultivars, and Shandong cultivars. Genetic diversity analysis showed that 61.3% of SNPs had a high degree of genetic differentiation, whereas 33.4% showed a moderate degree. The nucleotide diversity of subgenome B was relatively high, with an average π value of 3.91E-5; the nucleotide diversity of subgenome D was the lowest, with an average π value of 2.44E-5. CONCLUSION The parents used in wheat cross-breeding in Henan Province are similar, with a relatively homogeneous genetic background and low genetic diversity. These results will not only contribute to the objective evaluation and utilization of the tested cultivars but also provide insights into the current conditions and existing challenges of wheat cultivar breeding in Henan Province, thereby facilitating the scientific formulation of breeding objectives and strategies to improve breeding efficiency.
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Affiliation(s)
- Wenjing Tang
- College of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China
- Henan Agricultural Remote Sensing Monitoring Center, Zhengzhou, 450002, China
| | - Zhongdong Dong
- College of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China
| | - Lifeng Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xicheng Wang
- Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
| | - Tianbao Li
- College of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China
| | - Congwei Sun
- College of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China
| | - Zongli Chu
- College of Agronomy, Xinyang Agriculture and Forestry University, Xinyang, 464000, China
| | - Dangqun Cui
- College of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China.
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Mulugeta B, Ortiz R, Geleta M, Hailesilassie T, Hammenhag C, Hailu F, Tesfaye K. Harnessing genome-wide genetic diversity, population structure and linkage disequilibrium in Ethiopian durum wheat gene pool. FRONTIERS IN PLANT SCIENCE 2023; 14:1192356. [PMID: 37546270 PMCID: PMC10400094 DOI: 10.3389/fpls.2023.1192356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/05/2023] [Indexed: 08/08/2023]
Abstract
Yanyang Liu, Henan Academy of Agricultural Sciences (HNAAS), China; Landraces are an important genetic source for transferring valuable novel genes and alleles required to enhance genetic variation. Therefore, information on the gene pool's genetic diversity and population structure is essential for the conservation and sustainable use of durum wheat genetic resources. Hence, the aim of this study was to assess genetic diversity, population structure, and linkage disequilibrium, as well as to identify regions with selection signature. Five hundred (500) individuals representing 46 landraces, along with 28 cultivars were evaluated using the Illumina Infinium 25K wheat SNP array, resulting in 8,178 SNPs for further analysis. Gene diversity (GD) and the polymorphic information content (PIC) ranged from 0.13-0.50 and 0.12-0.38, with mean GD and PIC values of 0.34 and 0.27, respectively. Linkage disequilibrium (LD) revealed 353,600 pairs of significant SNPs at a cut-off (r2 > 0.20, P < 0.01), with an average r2 of 0.21 for marker pairs. The nucleotide diversity (π) and Tajima's D (TD) per chromosome for the populations ranged from 0.29-0.36 and 3.46-5.06, respectively, with genome level, mean π values of 0.33 and TD values of 4.43. Genomic scan using the Fst outlier test revealed 85 loci under selection signatures, with 65 loci under balancing selection and 17 under directional selection. Putative candidate genes co-localized with regions exhibiting strong selection signatures were associated with grain yield, plant height, host plant resistance to pathogens, heading date, grain quality, and phenolic content. The Bayesian Model (STRUCTURE) and distance-based (principal coordinate analysis, PCoA, and unweighted pair group method with arithmetic mean, UPGMA) methods grouped the genotypes into five subpopulations, where landraces from geographically non-adjoining environments were clustered in the same cluster. This research provides further insights into population structure and genetic relationships in a diverse set of durum wheat germplasm, which could be further used in wheat breeding programs to address production challenges sustainably.
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Affiliation(s)
- Behailu Mulugeta
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
- Sinana Agricultural Research Center, Oromia Agricultural Research Institute, Bale-Robe, Ethiopia
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Mulatu Geleta
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | | | - Cecilia Hammenhag
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Faris Hailu
- Bio and Emerging Technology Institute, Addis Ababa, Ethiopia
| | - Kassahun Tesfaye
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Biology and Biotechnology, Wollo University, Dessie, Ethiopia
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Türkoğlu A, Haliloğlu K, Mohammadi SA, Öztürk A, Bolouri P, Özkan G, Bocianowski J, Pour-Aboughadareh A, Jamshidi B. Genetic Diversity and Population Structure in Türkiye Bread Wheat Genotypes Revealed by Simple Sequence Repeats (SSR) Markers. Genes (Basel) 2023; 14:1182. [PMID: 37372362 DOI: 10.3390/genes14061182] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/19/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Wheat genotypes should be improved through available germplasm genetic diversity to ensure food security. This study investigated the molecular diversity and population structure of a set of Türkiye bread wheat genotypes using 120 microsatellite markers. Based on the results, 651 polymorphic alleles were evaluated to determine genetic diversity and population structure. The number of alleles ranged from 2 to 19, with an average of 5.44 alleles per locus. Polymorphic information content (PIC) ranged from 0.031 to 0.915 with a mean of 0.43. In addition, the gene diversity index ranged from 0.03 to 0.92 with an average of 0.46. The expected heterozygosity ranged from 0.00 to 0.359 with a mean of 0.124. The unbiased expected heterozygosity ranged from 0.00 to 0.319 with an average of 0.112. The mean values of the number of effective alleles (Ne), genetic diversity of Nei (H) and Shannon's information index (I) were estimated at 1.190, 1.049 and 0.168, respectively. The highest genetic diversity (GD) was estimated between genotypes G1 and G27. In the UPGMA dendrogram, the 63 genotypes were grouped into three clusters. The three main coordinates were able to explain 12.64, 6.38 and 4.90% of genetic diversity, respectively. AMOVA revealed diversity within populations at 78% and between populations at 22%. The current populations were found to be highly structured. Model-based cluster analyses classified the 63 genotypes studied into three subpopulations. The values of F-statistic (Fst) for the identified subpopulations were 0.253, 0.330 and 0.244, respectively. In addition, the expected values of heterozygosity (He) for these sub-populations were recorded as 0.45, 0.46 and 0.44, respectively. Therefore, SSR markers can be useful not only in genetic diversity and association analysis of wheat but also in its germplasm for various agronomic traits or mechanisms of tolerance to environmental stresses.
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Affiliation(s)
- Aras Türkoğlu
- Department of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, 42310 Konya, Turkey
| | - Kamil Haliloğlu
- Department of Field Crops, Faculty of Agriculture, Ataturk University, 25240 Erzurum, Turkey
| | - Seyyed Abolgahasem Mohammadi
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz 5166616471, Iran
| | - Ali Öztürk
- Department of Field Crops, Faculty of Agriculture, Ataturk University, 25240 Erzurum, Turkey
| | - Parisa Bolouri
- Department of Field Crops, Faculty of Agriculture, Ataturk University, 25240 Erzurum, Turkey
| | - Güller Özkan
- Department of Biology, Faculty of Science, Ankara University, 06100 Ankara, Turkey
| | - Jan Bocianowski
- Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
| | - Alireza Pour-Aboughadareh
- Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj 31585-854, Iran
| | - Bita Jamshidi
- Department of Food Security and Public Health, Khabat Technical Institute, Erbil Polytechnic University, Erbil 44001, Iraq
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Genetic diversity, population structure and relationship of Ethiopian barley (Hordeum vulgare L.) landraces as revealed by SSR markers. J Genet 2022. [DOI: 10.1007/s12041-021-01346-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Khan A, Ahmad M, Ahmed M, Gill KS, Akram Z. Association analysis for agronomic traits in wheat under terminal heat stress. Saudi J Biol Sci 2021; 28:7404-7415. [PMID: 34867044 PMCID: PMC8626334 DOI: 10.1016/j.sjbs.2021.08.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 08/14/2021] [Accepted: 08/15/2021] [Indexed: 12/01/2022] Open
Abstract
Terminal heat stress leads to irreversible damage in wheat. Marker assisted selection and gene pyramiding for portrayal of heat tolerance. Allelic frequency and polymorphic information showed significant variability. Markers xcfa2147 and xwmc671 could be potentail for heat stress tolerance.
Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assisted selection (MAS) for crop improvement. It identifies the genomic regions associated with thermotolerant traits in wheat, but the scarcity of markers is the major hindrance in crop improvement. Therefore, 158 wheat genotypes were subjected to genotyping with 165 simple sequence repeat markers dispersed on three genomes (A, B and D). Allelic frequency and polymorphic information content values were highest on genome A (5.34 (14% greater than the lowest value at genome D) and 0.715 (3% greater than the lowest value at genome D)), chromosome 4 (5.40 (16% greater than the lowest value at chromosome 2) and 0.725 (5% greater than the lowest value at chromosome 6)) and marker xgwm44 (13.0 (84% greater than the lowest value at marker xbarc148) and 0.916 (46% greater than the lowest value at marker xbarc148)). Bayesian based population structure discriminated the wheat genotypes into seven groups based on genetic similarity indicating their ancestral origin and geographical ecotype. Linkage disequilibrium pattern had highest significant (P < 0.001) linked loci pairs 732 on genome A at r2 > 0.1 whereas, 58 on genome B at r2 > 0.5. Linkage disequilibrium decay (P < 0.01 and r2 > 0.1) had larger LD block (5–10 cM) on genome A. Highly significant MTAs (P < 0.000061) under heat stress conditions were identified for flag leaf area (xwmc336), spikelet per spike (xwmc553), grains per spike (cxfa2147, xwmc418 and xwmc121), biomass (xbarc7) and grain yield (xcfa2147 and xwmc671). The identified markers in this study could facilitate in MAS and gene pyramiding against heat stress in wheat.
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Affiliation(s)
- Adeel Khan
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan
| | - Munir Ahmad
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan
| | - Mukhtar Ahmed
- Department of Agronomy, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.,Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, 90183 UMEÅ, Sweden
| | - Kulvinder Singh Gill
- Department of Crop and Soil Sciences, Washington State University, Pullman 646420, USA
| | - Zahid Akram
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan
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Khadka K, Torkamaneh D, Kaviani M, Belzile F, Raizada MN, Navabi A. Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm. BMC PLANT BIOLOGY 2020; 20:530. [PMID: 33225886 PMCID: PMC7682013 DOI: 10.1186/s12870-020-02722-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 10/26/2020] [Indexed: 05/04/2023]
Abstract
BACKGROUND Appropriate information about genetic diversity and population structure of germplasm improves the efficiency of plant breeding. The low productivity of Nepali bread wheat (Triticum aestivum L.) is a major concern particularly since Nepal is ranked the 4th most vulnerable nation globally to climate change. The genetic diversity and population structure of Nepali spring wheat have not been reported. This study aims to improve the exploitation of more diverse and under-utilized genetic resources to contribute to current and future breeding efforts for global food security. RESULTS We used genotyping-by-sequencing (GBS) to characterize a panel of 318 spring wheat accessions from Nepal including 166 landraces, 115 CIMMYT advanced lines, and 34 Nepali released varieties. We identified 95 K high-quality SNPs. The greatest genetic diversity was observed among the landraces, followed by CIMMYT lines, and released varieties. Though we expected only 3 groupings corresponding to these 3 seed origins, the population structure revealed two large, distinct subpopulations along with two smaller and scattered subpopulations in between, with significant admixture. This result was confirmed by principal component analysis (PCA) and UPGMA distance-based clustering. The pattern of LD decay differed between subpopulations, ranging from 60 to 150 Kb. We discuss the possibility that germplasm explorations during the 1970s-1990s may have mistakenly collected exotic germplasm instead of local landraces and/or collected materials that had already cross-hybridized since exotic germplasm was introduced starting in the 1950s. CONCLUSION We suggest that only a subset of wheat "landraces" in Nepal are authentic which this study has identified. Targeting these authentic landraces may accelerate local breeding programs to improve the food security of this climate-vulnerable nation. Overall, this study provides a novel understanding of the genetic diversity of wheat in Nepal and this may contribute to global wheat breeding initiatives.
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Affiliation(s)
- Kamal Khadka
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
| | - Davoud Torkamaneh
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
- Département de Phytologie, Université Laval, Québec City, QC, G1V 0A6, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Mina Kaviani
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Francois Belzile
- Département de Phytologie, Université Laval, Québec City, QC, G1V 0A6, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Manish N Raizada
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Alireza Navabi
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
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