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Ishikawa G, Sakai H, Mizuno N, Solovieva E, Tanaka T, Matsubara K. Developing core marker sets for effective genomic-assisted selection in wheat and barley breeding programs. BREEDING SCIENCE 2022; 72:257-266. [PMID: 36408318 PMCID: PMC9653188 DOI: 10.1270/jsbbs.22004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/07/2022] [Indexed: 06/16/2023]
Abstract
Wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) are widely cultivated temperate crops. In breeding programs with these crops in Japan, effective genomic-assisted selection was performed by selecting core marker sets from thousands of genome-wide amplicon sequencing markers. The core sets consist of 768 and 960 markers for barley and wheat, respectively. These markers are distributed evenly across the genomes and effectively detect widely distributed polymorphisms in the chromosomes. The core set utility was assessed using 1,032 barley and 1,798 wheat accessions across the country. Minor allele frequency and chromosomal distributions showed that the core sets could effectively capture polymorphisms across the entire genome, indicating that the core sets are applicable to highly-related advanced breeding materials. Using the core sets, we also assessed the trait value predictability. As observed via fivefold cross-validation, the prediction accuracies of six barley traits ranged from 0.56-0.74 and 0.62 on average, and the corresponding values for eight wheat traits ranged from 0.44-0.83 and 0.65 on average. These data indicate that the established core marker sets enable breeding processes to be accelerated in a cost-effective manner and provide a strong foundation for further research on genomic selection in crops.
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Affiliation(s)
- Goro Ishikawa
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Hiroaki Sakai
- Research Center for Advanced Analysis, Core Technology Research Headquarters, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8517, Japan
| | - Nobuyuki Mizuno
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Elena Solovieva
- Research Center for Advanced Analysis, Core Technology Research Headquarters, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8517, Japan
| | - Tsuyoshi Tanaka
- Research Center for Advanced Analysis, Core Technology Research Headquarters, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8517, Japan
| | - Kazuki Matsubara
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
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2
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Kulwal PL, Singh R. Biparental Crossing and QTL Mapping for Validation of Genome-Wide Association Studies. Methods Mol Biol 2022; 2481:273-285. [PMID: 35641770 DOI: 10.1007/978-1-0716-2237-7_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Association mapping (AM), also known as genome-wide association studies (GWAS), is increasingly being employed in crop plants for the identification of QTL/genes and marker-trait associations (MTAs) in natural populations. Large numbers of such associations have been identified for variety of traits in different crop plants. However, not many of these associations have been used practically in the crop improvement program due to lack of validation. Although there are different ways through which the results of AM/GWAS could be validated, the best approach is to develop a biparental population for the trait of interest. An overview of the steps involved in the validation of results of AM using biparental mapping population in plants is provided in this chapter.
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Affiliation(s)
- Pawan L Kulwal
- State Level Biotechnology Centre, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar, Maharashtra, India.
| | - Ravinder Singh
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir, India
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Rasheed A, Takumi S, Hassan MA, Imtiaz M, Ali M, Morgunov AI, Mahmood T, He Z. Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1503-1520. [PMID: 31897516 DOI: 10.1007/s00122-019-03523-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/23/2019] [Indexed: 06/10/2023]
Abstract
We discussed the most recent efforts in wheat functional genomics to discover new genes and their deployment in breeding with special emphasis on advances in Asian countries. Wheat research community is making significant progress to bridge genotype-to-phenotype gap and then applying this knowledge in genetic improvement. The advances in genomics and phenomics have intrigued wheat researchers in Asia to make best use of this knowledge in gene and trait discovery. These advancements include, but not limited to, map-based gene cloning, translational genomics, gene mapping, association genetics, gene editing and genomic selection. We reviewed more than 57 homeologous genes discovered underpinning important traits and multiple strategies used for their discovery. Further, the complementary advancements in wheat phenomics and analytical approaches to understand the genetics of wheat adaptability, resilience to climate extremes and resistance to pest and diseases were discussed. The challenge to build a gold standard reference genome sequence of bread wheat is now achieved and several de novo reference sequences from the cultivars representing different gene pools will be available soon. New pan-genome sequencing resources of wheat will strengthen the foundation required for accelerated gene discovery and provide more opportunities to practice the knowledge-based breeding.
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Affiliation(s)
- Awais Rasheed
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
- International Maize and Wheat Improvement Center (CIMMYT), CAAS, 12 Zhongguancun South Street, Beijing, 100081, China.
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
| | - Shigeo Takumi
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, 657-8501, Japan
| | - Muhammad Adeel Hassan
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Muhammad Imtiaz
- International Maize and Wheat Improvement Center (CIMMYT) Pakistan office, c/o National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Mohsin Ali
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Alex I Morgunov
- International Maize and Wheat Improvement Center (CIMMYT), Yenimahalle, Ankara, 06170, Turkey
| | - Tariq Mahmood
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Zhonghu He
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT), CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
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4
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Ishikawa G, Hayashi T, Nakamura K, Tanaka T, Kobayashi F, Saito M, Ito H, Ikenaga S, Taniguchi Y, Nakamura T. Multifamily QTL analysis and comprehensive design of genotypes for high-quality soft wheat. PLoS One 2020; 15:e0230326. [PMID: 32160264 PMCID: PMC7065826 DOI: 10.1371/journal.pone.0230326] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 02/27/2020] [Indexed: 01/11/2023] Open
Abstract
Milling properties and flour color are essential selection criteria in soft wheat breeding. However, high phenotypic screening costs restrict selection to relatively few breeding lines in late generations. To achieve marker-based selection of these traits in early generations, we performed genetic dissection of quality traits using three doubled haploid populations that shared the high-quality soft wheat variety Kitahonami as the paternal parent. An amplicon sequencing approach allowed effective construction of well-saturated linkage maps of the populations. Marker-based heritability estimates revealed that target quality traits had relatively high values, indicating the possibility of selection in early generations. Taking advantage of Chinese Spring reference sequences, joint linkage maps of the three populations were generated. Based on the maps, multifamily quantitative trait locus (QTL) analysis revealed a total of 86 QTLs for ten traits investigated. In terms of target quality traits, 12 QTLs were detected for flour yield, and 12 were detected for flour redness (a* value). Among these QTLs, six for flour yield and nine for flour a* were segregating in more than two populations. Some relationships among traits were explained by QTL collocations on chromosomes, especially group 7 chromosomes. Ten different ideotypes with various combinations of favorable alleles for the flour yield and flour a* QTLs were generated. Phenotypes of derivatives from these ideotypes were predicted to design ideal genotypes for high-quality wheat. Simulations revealed the possibility of breeding varieties with better quality than Kitahonami.
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Affiliation(s)
- Goro Ishikawa
- Division of Basic Research, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
- * E-mail:
| | - Takeshi Hayashi
- Division of Basic Research, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Kazuhiro Nakamura
- Division of Lowland Farming Research, Kyusyu Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Chikugo, Fukuoka, Japan
| | - Tsuyoshi Tanaka
- Division of Basic Research, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Fuminori Kobayashi
- Division of Basic Research, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Mika Saito
- Division of Field Crops and Horticulture Research, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Iwate, Japan
| | - Hiroyuki Ito
- Division of Field Crops and Horticulture Research, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Iwate, Japan
| | - Sachiko Ikenaga
- Division of Field Crops and Horticulture Research, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Iwate, Japan
| | - Yoshinori Taniguchi
- Division of Field Crops and Horticulture Research, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Iwate, Japan
| | - Toshiki Nakamura
- Division of Field Crops and Horticulture Research, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Iwate, Japan
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Genetic Analysis of QTL for Resistance to Maize Lethal Necrosis in Multiple Mapping Populations. Genes (Basel) 2019; 11:genes11010032. [PMID: 31888105 PMCID: PMC7017159 DOI: 10.3390/genes11010032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 12/17/2019] [Accepted: 12/24/2019] [Indexed: 11/17/2022] Open
Abstract
Maize lethal necrosis (MLN) occurs when maize chlorotic mottle virus (MCMV) and sugarcane mosaic virus (SCMV) co-infect maize plant. Yield loss of up to 100% can be experienced under severe infections. Identification and validation of genomic regions and their flanking markers can facilitate marker assisted breeding for resistance to MLN. To understand the status of previously identified quantitative trait loci (QTL)in diverse genetic background, F3 progenies derived from seven bi-parental populations were genotyped using 500 selected kompetitive allele specific PCR (KASP) SNPs. The F3 progenies were evaluated under artificial MLN inoculation for three seasons. Phenotypic analyses revealed significant variability (P ≤ 0.01) among genotypes for responses to MLN infections, with high heritability estimates (0.62 to 0.82) for MLN disease severity and AUDPC values. Linkage mapping and joint linkage association mapping revealed at least seven major QTL (qMLN3_130 and qMLN3_142, qMLN5_190 and qMLN5_202, qMLN6_85 and qMLN6_157 qMLN8_10 and qMLN9_142) spread across the 7-biparetal populations, for resistance to MLN infections and were consistent with those reported previously. The seven QTL appeared to be stable across genetic backgrounds and across environments. Therefore, these QTL could be useful for marker assisted breeding for resistance to MLN.
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Kumar A, Mantovani EE, Simsek S, Jain S, Elias EM, Mergoum M. Genome wide genetic dissection of wheat quality and yield related traits and their relationship with grain shape and size traits in an elite × non-adapted bread wheat cross. PLoS One 2019; 14:e0221826. [PMID: 31532783 PMCID: PMC6750600 DOI: 10.1371/journal.pone.0221826] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/15/2019] [Indexed: 12/21/2022] Open
Abstract
The genetic gain in yield and quality are two major targets of wheat breeding programs around the world. In this study, a high density genetic map consisting of 10,172 SNP markers identified a total of 43 genomic regions associated with three quality traits, three yield traits and two agronomic traits in hard red spring wheat (HRSW). When compared with six grain shape and size traits, the quality traits showed mostly independent genetic control (~18% common loci), while the yield traits showed moderate association (~53% common loci). Association of genomic regions for grain area (GA) and thousand-grain weight (TGW), with yield suggests that targeting an increase in GA may help enhancing wheat yield through an increase in TGW. Flour extraction (FE), although has a weak positive phenotypic association with grain shape and size, they do not share any common genetic loci. A major contributor to plant height was the Rht8 locus and the reduced height allele was associated with significant increase in grains per spike (GPS) and FE, and decrease in number of spikes per square meter and test weight. Stable loci were identified for almost all the traits. However, we could not find any QTL in the region of major known genes like GPC-B1, Ha, Rht-1, and Ppd-1. Epistasis also played an important role in the genetics of majority of the traits. In addition to enhancing our knowledge about the association of wheat quality and yield with grain shape and size, this study provides novel loci, genetic information and pre-breeding material (combining positive alleles from both parents) to enhance the cultivated gene pool in wheat germplasm. These resources are valuable in facilitating molecular breeding for wheat quality and yield improvement.
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Affiliation(s)
- Ajay Kumar
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States of America
| | - Eder E. Mantovani
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States of America
| | - Senay Simsek
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States of America
| | - Shalu Jain
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States of America
| | - Elias M. Elias
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States of America
| | - Mohamed Mergoum
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States of America
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7
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Kristensen PS, Jensen J, Andersen JR, Guzmán C, Orabi J, Jahoor A. Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material. Genes (Basel) 2019; 10:E669. [PMID: 31480460 PMCID: PMC6770321 DOI: 10.3390/genes10090669] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 08/26/2019] [Accepted: 08/29/2019] [Indexed: 12/02/2022] Open
Abstract
Use of genetic markers and genomic prediction might improve genetic gain for quality traits in wheat breeding programs. Here, flour yield and Alveograph quality traits were inspected in 635 F6 winter wheat breeding lines from two breeding cycles. Genome-wide association studies revealed single nucleotide polymorphisms (SNPs) on chromosome 5D significantly associated with flour yield, Alveograph P (dough tenacity), and Alveograph W (dough strength). Additionally, SNPs on chromosome 1D were associated with Alveograph P and W, SNPs on chromosome 1B were associated with Alveograph P, and SNPs on chromosome 4A were associated with Alveograph L (dough extensibility). Predictive abilities based on genomic best linear unbiased prediction (GBLUP) models ranged from 0.50 for flour yield to 0.79 for Alveograph W based on a leave-one-out cross-validation strategy. Predictive abilities were negatively affected by smaller training set sizes, lower genetic relationship between lines in training and validation sets, and by genotype-environment (G×E) interactions. Bayesian Power Lasso models and genomic feature models resulted in similar or slightly improved predictions compared to GBLUP models. SNPs with the largest effects can be used for screening large numbers of lines in early generations in breeding programs to select lines that potentially have good quality traits. In later generations, genomic predictions might be used for a more accurate selection of high quality wheat lines.
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Affiliation(s)
| | - Just Jensen
- Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark
| | | | - Carlos Guzmán
- Departamento de Genética, Escuela Técnica Superior de Ingeniería Agronómica y de Montes, Edificio Gregor Mendel, Campus de Rabanales, Universidad de Córdoba, CeiA3, 14071 Córdoba, Spain
| | | | - Ahmed Jahoor
- Nordic Seed A/S, 8300 Odder, Denmark
- Department of Plant Breeding, The Swedish University of Agricultural Sciences, 23053 Alnarp, Sweden
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8
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Abstract
Improving the end-use quality traits is one of the primary objectives in wheat breeding programs. In the current study, a population of 127 recombinant inbred lines (RILs) derived from a cross between Glenn (PI-639273) and Traverse (PI-642780) was developed and used to identify quantitative trait loci (QTL) for 16 end-use quality traits in wheat. The phenotyping of these 16 traits was performed in nine environments in North Dakota, USA. The genotyping for the RIL population was conducted using the wheat Illumina iSelect 90K SNP assay. A high-density genetic linkage map consisting of 7,963 SNP markers identified a total of 76 additive QTL (A-QTL) and 73 digenic epistatic QTL (DE-QTL) associated with these traits. Overall, 12 stable major A-QTL and three stable DE-QTL were identified for these traits, suggesting that both A-QTL and DE-QTL played an important role in controlling end-use quality traits in wheat. The most significant A-QTL (AQ.MMLPT.ndsu.1B) was detected on chromosome 1B for mixograph middle line peak time. The AQ.MMLPT.ndsu.1B A-QTL was located very close to the position of the Glu-B1 gene encoding for a subunit of high molecular weight glutenin and explained up to 24.43% of phenotypic variation for mixograph MID line peak time. A total of 23 co-localized QTL loci were detected, suggesting the possibility of the simultaneous improvement of the end-use quality traits through selection procedures in wheat breeding programs. Overall, the information provided in this study could be used in marker-assisted selection to increase selection efficiency and to improve the end-use quality in wheat.
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Ishikawa G, Saito M, Tanaka T, Katayose Y, Kanamori H, Kurita K, Nakamura T. An efficient approach for the development of genome-specific markers in allohexaploid wheat (Triticum aestivum L.) and its application in the construction of high-density linkage maps of the D genome. DNA Res 2018; 25:4898127. [PMID: 29481583 PMCID: PMC6014326 DOI: 10.1093/dnares/dsy004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/16/2018] [Indexed: 12/20/2022] Open
Abstract
In common wheat, the development of genotyping platforms has been hampered by the large size of the genome, its highly repetitive elements and its allohexaploid nature. However, recent advances in sequencing technology provide opportunities to resolve these difficulties. Using next-generation sequencing and gene-targeting sequence capture, 12,551 nucleotide polymorphisms were detected in the common wheat varieties 'Hatsumochi' and 'Kitahonami' and were assigned to chromosome arms using International Wheat Genome Sequencing Consortium survey sequences. Because the number of markers for D genome chromosomes in commercially available wheat single nucleotide polymorphism arrays is insufficient, we developed markers using a genome-specific amplicon sequencing strategy. Approximately 80% of the designed primers successfully amplified D genome-specific products, suggesting that by concentrating on a specific subgenome, we were able to design successful markers as efficiently as could be done in a diploid species. The newly developed markers were uniformly distributed across the D genome and greatly extended the total coverage. Polymorphisms were surveyed in six varieties, and 31,542 polymorphic sites and 5,986 potential marker sites were detected in the D genome. The marker development and genotyping strategies are cost effective, robust and flexible and may enhance multi-sample studies in the post-genomic era in wheat.
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Affiliation(s)
- Goro Ishikawa
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Mika Saito
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
| | - Tsuyoshi Tanaka
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Yuichi Katayose
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Hiroyuki Kanamori
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Kanako Kurita
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Toshiki Nakamura
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
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10
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Ando K, Rynearson S, Muleta KT, Gedamu J, Girma B, Bosque-Pérez NA, Chen MS, Pumphrey MO. Genome-wide associations for multiple pest resistances in a Northwestern United States elite spring wheat panel. PLoS One 2018; 13:e0191305. [PMID: 29415008 PMCID: PMC5802848 DOI: 10.1371/journal.pone.0191305] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 01/01/2018] [Indexed: 12/01/2022] Open
Abstract
Northern areas of the western United States are one of the most productive wheat growing regions in the United States. Increasing productivity through breeding is hindered by several biotic stresses which slow and constrain targeted yield improvement. In order to understand genetic variation for stripe rust (Puccinia striiformis f. sp. tritici), Septoria tritici blotch (Mycosphaerella graminicola), and Hessian fly (Mayetiola destructor) in regional germplasm, a panel of 408 elite spring wheat lines was characterized and genotyped with an Illumina 9K wheat single nucleotide polymorphism (SNP) chip to enable genome-wide association study (GWAS) analyses. Significant marker-trait associations were identified for stripe rust (38 loci), Septoria tritici blotch (8) and Hessian fly (9) resistance. Many of the QTL corresponded with previously reported gene locations or QTL, but we also discovered new resistance loci for each trait. We validated one of the stripe rust resistance loci detected by GWAS in a bi-parental mapping population, which confirmed the detection of Yr15 in the panel. This study elucidated well-defined chromosome regions for multiple pest resistances in elite Northwest germplasm. Newly identified resistance loci, along with SNPs more tightly linked to previously reported genes or QTL will help future breeding and marker assisted selection efforts.
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Affiliation(s)
- Kaori Ando
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, United States of America
| | - Sheri Rynearson
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, United States of America
| | - Kebede T. Muleta
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, United States of America
| | - Jhonatan Gedamu
- Ethiopian Institute of Agricultural Research, Holeta Agricultural Research Center, Holeta, Ethiopia
| | - Bedada Girma
- Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assela, Ethiopia
| | - Nilsa A. Bosque-Pérez
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, Idaho, United States of America
| | - Ming-Shun Chen
- United States Department of Agriculture–Agricultural Research Service and Department of Entomology, Kansas State University, Manhattan, Kansas, United States of America
| | - Mike O. Pumphrey
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, United States of America
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11
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Tracking haplotype for QTLs associated with Fusarium head blight resistance in Japanese wheat (Triticum aestivum L.) lineage. ACTA ACUST UNITED AC 2018. [DOI: 10.1186/s40066-017-0139-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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12
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Pasam RK, Bansal U, Daetwyler HD, Forrest KL, Wong D, Petkowski J, Willey N, Randhawa M, Chhetri M, Miah H, Tibbits J, Bariana H, Hayden MJ. Detection and validation of genomic regions associated with resistance to rust diseases in a worldwide hexaploid wheat landrace collection using BayesR and mixed linear model approaches. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:777-793. [PMID: 28255670 DOI: 10.1007/s00122-016-2851-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 12/28/2016] [Indexed: 05/26/2023]
Abstract
BayesR and MLM association mapping approaches in common wheat landraces were used to identify genomic regions conferring resistance to Yr, Lr, and Sr diseases. Deployment of rust resistant cultivars is the most economically effective and environmentally friendly strategy to control rust diseases in wheat. However, the highly evolving nature of wheat rust pathogens demands continued identification, characterization, and transfer of new resistance alleles into new varieties to achieve durable rust control. In this study, we undertook genome-wide association studies (GWAS) using a mixed linear model (MLM) and the Bayesian multilocus method (BayesR) to identify QTL contributing to leaf rust (Lr), stem rust (Sr), and stripe rust (Yr) resistance. Our study included 676 pre-Green Revolution common wheat landrace accessions collected in the 1920-1930s by A.E. Watkins. We show that both methods produce similar results, although BayesR had reduced background signals, enabling clearer definition of QTL positions. For the three rust diseases, we found 5 (Lr), 14 (Yr), and 11 (Sr) SNPs significant in both methods above stringent false-discovery rate thresholds. Validation of marker-trait associations with known rust QTL from the literature and additional genotypic and phenotypic characterisation of biparental populations showed that the landraces harbour both previously mapped and potentially new genes for resistance to rust diseases. Our results demonstrate that pre-Green Revolution landraces provide a rich source of genes to increase genetic diversity for rust resistance to facilitate the development of wheat varieties with more durable rust resistance.
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Affiliation(s)
- Raj K Pasam
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Urmil Bansal
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
| | - Hans D Daetwyler
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia
| | - Kerrie L Forrest
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Debbie Wong
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Joanna Petkowski
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Nicholas Willey
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
- Dow AgroSciences Australia Ltd, Unit 12A, 84 Barnes Street, Tamworth, NSW, 2340, Australia
| | - Mandeep Randhawa
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México, C.P. 56237, Mexico
| | - Mumta Chhetri
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
| | - Hanif Miah
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
| | - Josquin Tibbits
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Harbans Bariana
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia.
| | - Matthew J Hayden
- Department of Economic Development, Jobs, Transport and Recourses, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia.
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13
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Oda S. Recent Improvement of Japanese Wheat. J JPN SOC FOOD SCI 2017. [DOI: 10.3136/nskkk.64.165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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14
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Liu G, Zhao Y, Gowda M, Longin CFH, Reif JC, Mette MF. Predicting Hybrid Performances for Quality Traits through Genomic-Assisted Approaches in Central European Wheat. PLoS One 2016; 11:e0158635. [PMID: 27383841 PMCID: PMC4934823 DOI: 10.1371/journal.pone.0158635] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/20/2016] [Indexed: 01/27/2023] Open
Abstract
Bread-making quality traits are central targets for wheat breeding. The objectives of our study were to (1) examine the presence of major effect QTLs for quality traits in a Central European elite wheat population, (2) explore the optimal strategy for predicting the hybrid performance for wheat quality traits, and (3) investigate the effects of marker density and the composition and size of the training population on the accuracy of prediction of hybrid performance. In total 135 inbred lines of Central European bread wheat (Triticum aestivum L.) and 1,604 hybrids derived from them were evaluated for seven quality traits in up to six environments. The 135 parental lines were genotyped using a 90k single-nucleotide polymorphism array. Genome-wide association mapping initially suggested presence of several quantitative trait loci (QTLs), but cross-validation rather indicated the absence of major effect QTLs for all quality traits except of 1000-kernel weight. Genomic selection substantially outperformed marker-assisted selection in predicting hybrid performance. A resampling study revealed that increasing the effective population size in the estimation set of hybrids is relevant to boost the accuracy of prediction for an unrelated test population.
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Affiliation(s)
- Guozheng Liu
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
| | - Yusheng Zhao
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
| | - Manje Gowda
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | | | - Jochen C. Reif
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
- * E-mail:
| | - Michael F. Mette
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
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15
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Cabrera A, Guttieri M, Smith N, Souza E, Sturbaum A, Hua D, Griffey C, Barnett M, Murphy P, Ohm H, Uphaus J, Sorrells M, Heffner E, Brown-Guedira G, Van Sanford D, Sneller C. Identification of milling and baking quality QTL in multiple soft wheat mapping populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2015; 128:2227-2242. [PMID: 26188588 DOI: 10.1007/s00122-015-2580-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 07/07/2015] [Indexed: 06/04/2023]
Abstract
Two mapping approaches were use to identify and validate milling and baking quality QTL in soft wheat. Two LG were consistently found important for multiple traits and we recommend the use marker-assisted selection on specific markers reported here. Wheat-derived food products require a range of characteristics. Identification and understanding of the genetic components controlling end-use quality of wheat is important for crop improvement. We assessed the underlying genetics controlling specific milling and baking quality parameters of soft wheat including flour yield, softness equivalent, flour protein, sucrose, sodium carbonate, water absorption and lactic acid, solvent retention capacities in a diversity panel and five bi-parental mapping populations. The populations were genotyped with SSR and DArT markers, with markers specific for the 1BL.1RS translocation and sucrose synthase gene. Association analysis and composite interval mapping were performed to identify quantitative trait loci (QTL). High heritability was observed for each of the traits evaluated, trait correlations were consistent over populations, and transgressive segregants were common in all bi-parental populations. A total of 26 regions were identified as potential QTL in the diversity panel and 74 QTL were identified across all five bi-parental mapping populations. Collinearity of QTL from chromosomes 1B and 2B was observed across mapping populations and was consistent with results from the association analysis in the diversity panel. Multiple regression analysis showed the importance of the two 1B and 2B regions and marker-assisted selection for the favorable alleles at these regions should improve quality.
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Affiliation(s)
- Antonio Cabrera
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA.
| | - Mary Guttieri
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Kein Hall, Lincoln, NE, 68583-0915, USA
| | - Nathan Smith
- BHN Research, P. O. Box 3267, Immokalee, FL, 34143, USA
| | - Edward Souza
- Bayer Crop Science LP, 202 Keim Hall, Lincoln, NE, USA
| | - Anne Sturbaum
- Soft Wheat Quality Laboratory, USDA Agricultural Research Service, Wooster, OH, 44691, USA
| | - Duc Hua
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA
| | - Carl Griffey
- Department of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute, State University, Blacksburg, VA, 24061, USA
| | - Marla Barnett
- Limagrain Cereal Seeds LLC, 6414 N Sheridian, Wichita, KS, 67204, USA
| | - Paul Murphy
- Department of Crop Science, North Carolina State University, Campus Box 7620, Raleigh, NC, 27695-7620, USA
| | - Herb Ohm
- Department of Agronomy, Purdue University, 915 West State Street, West Lafayette, IN, 47907, USA
| | - Jim Uphaus
- Pioneer HiBreed International, INC., Windfall, IN, USA
| | - Mark Sorrells
- Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Elliot Heffner
- DuPont Pioneer Hi Bred International Inc, Des Moines, IA, 50316, USA
| | | | - David Van Sanford
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY, 40546, USA
| | - Clay Sneller
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA.
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