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Abdelraheem A, Zhu Y, Zeng L, Stetina S, Zhang J. A genome-wide association study for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in diploid cotton (Gossypium arboreum) and resistance transfer to tetraploid Gossypium hirsutum. Mol Genet Genomics 2024; 299:30. [PMID: 38472439 DOI: 10.1007/s00438-024-02130-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/21/2024] [Indexed: 03/14/2024]
Abstract
Fusarium wilt, caused by the soilborne fungus Fusarium oxysporum f. sp. vasinfectum (FOV), is a devastating disease affecting cotton (Gossypium spp.) worldwide. Understanding the genetic basis of resistance in diploid cotton and successfully transferring the resistance to tetraploid Upland cotton (G. hirsutum) are crucial for developing resistant cotton cultivars. Although numerous studies have been conducted to investigate the genetic basis of Fusarium wilt in tetraploid cotton, little research has been conducted on diploid species. In this study, an association mapping panel consisting of 246 accessions of G. arboreum, was used to identify chromosomal regions for FOV race 4 (FOV4) resistance based on foliar disease severity ratings in four greenhouse tests. Through a genome-wide association study (GWAS) based on 7,009 single nucleotide polymorphic (SNP) markers, 24 FOV4 resistance QTLs, including three major QTLs on chromosomes A04, A06, and A11, were detected. A validation panel consisting of 97 diploid cotton accessions was employed, confirming the presence of several QTLs. Evaluation of an introgressed BC2F7 population derived from G. hirsutum/G. aridum/G. arboreum showed significant differences in disease incidence and mortality rate, as compared to susceptible and resistant controls, suggesting that the resistance in G. arboreum and/or G. aridum was transferred into Upland cotton for the first time. The identification of novel major resistance QTLs, along with the transfer of resistance from the diploid species, expands our understanding of the genomic regions involved in conferring resistance to FOV4 and contributes to the development of resilient Upland cotton cultivars.
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Affiliation(s)
- Abdelraheem Abdelraheem
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA
| | - Yi Zhu
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA
| | - Linghe Zeng
- USDA Agricultural Research Service Crop Genetics Research Unit, Stoneville, MS, 38776, USA
| | - Salliana Stetina
- USDA Agricultural Research Service Crop Genetics Research Unit, Stoneville, MS, 38776, USA
| | - Jinfa Zhang
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.
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Li C, Zhuang L, Li T, Hou J, Liu H, Jian C, Li H, Zhao J, Liu Y, Xi W, Hao P, Liu S, Si X, Wang X, Zhang X, Hao C. Conservatively transmitted alleles of key agronomic genes provide insights into the genetic basis of founder parents in bread wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2023; 23:100. [PMID: 36805674 PMCID: PMC9938602 DOI: 10.1186/s12870-023-04098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Founder parents play extremely important roles in wheat breeding. Studies into the genetic basis of founder parents and the transmission rules of favorable alleles are of great significance in improving agronomically important traits in wheat. RESULTS Here, a total of 366 founder parents, widely grown cultivars, and derivatives of four representative founder parents were genotyped based on efficient kompetitive allele-specific PCR (KASP) markers in 87 agronomically important genes controlling yield, quality, adaptability, and stress resistance. Genetic composition analysis of founder parents and widely grown cultivars showed a consistently high frequency of favorable alleles for yield-related genes. This analysis further showed that other alleles favorable for resistance, strong gluten, dwarf size, and early heading date were also subject to selective pressure over time. By comparing the transmission of alleles from four representative founder parents to their derivatives during different breeding periods, it was found that the genetic composition of the representative founder parents was optimized as breeding progressed over time, with the number and types of favorable alleles carried gradually increasing and becoming enriched. There are still a large number of favorable alleles in wheat founder parents that have not been fully utilized in breeding selection. Eighty-seven agronomically important genes were used to construct an enrichment map that shows favorable alleles of four founder parents, providing an important theoretical foundation for future identification of candidate wheat founder parents. CONCLUSIONS These results reveal the genetic basis of founder parents and allele transmission for 87 agronomically important genes and shed light on breeding strategies for the next generation of elite founder parents in wheat.
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Affiliation(s)
- Chang Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Lei Zhuang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Hongxia Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Chao Jian
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Huifang Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jing Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Yunchuan Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Wei Xi
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Pingan Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Shujuan Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xuemei Si
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xiaolu Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xueyong Zhang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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Elbasyoni IS, Eltaher S, Morsy S, Mashaheet AM, Abdallah AM, Ali HG, Mariey SA, Baenziger PS, Frels K. Novel Single-Nucleotide Variants for Morpho-Physiological Traits Involved in Enhancing Drought Stress Tolerance in Barley. PLANTS (BASEL, SWITZERLAND) 2022; 11:3072. [PMID: 36432800 PMCID: PMC9696095 DOI: 10.3390/plants11223072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/14/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Barley (Hordeum vulgare L.) thrives in the arid and semi-arid regions of the world; nevertheless, it suffers large grain yield losses due to drought stress. A panel of 426 lines of barley was evaluated in Egypt under deficit (DI) and full irrigation (FI) during the 2019 and 2020 growing seasons. Observations were recorded on the number of days to flowering (NDF), total chlorophyll content (CH), canopy temperature (CAN), grain filling duration (GFD), plant height (PH), and grain yield (Yield) under DI and FI. The lines were genotyped using the 9K Infinium iSelect single nucleotide polymorphisms (SNP) genotyping platform, which resulted in 6913 high-quality SNPs. In conjunction with the SNP markers, the phenotypic data were subjected to a genome-wide association scan (GWAS) using Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK). The GWAS results indicated that 36 SNPs were significantly associated with the studied traits under DI and FI. Furthermore, eight markers were significant and common across DI and FI water regimes, while 14 markers were uniquely associated with the studied traits under DI. Under DI and FI, three (11_10326, 11_20042, and 11_20170) and five (11_20099, 11_10326, 11_20840, 12_30298, and 11_20605) markers, respectively, had pleiotropic effect on at least two traits. Among the significant markers, 24 were annotated to known barley genes. Most of these genes were involved in plant responses to environmental stimuli such as drought. Overall, nine of the significant markers were previously reported, and 27 markers might be considered novel. Several markers identified in this study could enable the prediction of barley accessions with optimal agronomic performance under DI and FI.
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Affiliation(s)
- Ibrahim S. Elbasyoni
- Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Shamseldeen Eltaher
- Department of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City (USC), Sadat City 32897, Egypt
| | - Sabah Morsy
- Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
| | - Alsayed M. Mashaheet
- Plant Pathology Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
| | - Ahmed M. Abdallah
- Natural Resources and Agricultural Engineering Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
| | - Heba G. Ali
- Barley Research Department, Field Crops Research Institute, Agricultural Research Center, 9 Gamma Street-Giza, Cairo 12619, Egypt
| | - Samah A. Mariey
- Barley Research Department, Field Crops Research Institute, Agricultural Research Center, 9 Gamma Street-Giza, Cairo 12619, Egypt
| | - P. Stephen Baenziger
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Katherine Frels
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
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Chen Y, Schreiber M, Bayer MM, Dawson IK, Hedley PE, Lei L, Akhunova A, Liu C, Smith KP, Fay JC, Muehlbauer GJ, Steffenson BJ, Morrell PL, Waugh R, Russell JR. The evolutionary patterns of barley pericentromeric chromosome regions, as shaped by linkage disequilibrium and domestication. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:1580-1594. [PMID: 35834607 PMCID: PMC9546296 DOI: 10.1111/tpj.15908] [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: 04/14/2022] [Revised: 06/30/2022] [Accepted: 07/13/2022] [Indexed: 05/17/2023]
Abstract
The distribution of recombination events along large cereal chromosomes is uneven and is generally restricted to gene-rich telomeric ends. To understand how the lack of recombination affects diversity in the large pericentromeric regions, we analysed deep exome capture data from a final panel of 815 Hordeum vulgare (barley) cultivars, landraces and wild barleys, sampled from across their eco-geographical ranges. We defined and compared variant data across the pericentromeric and non-pericentromeric regions, observing a clear partitioning of diversity both within and between chromosomes and germplasm groups. Dramatically reduced diversity was found in the pericentromeres of both cultivars and landraces when compared with wild barley. We observed a mixture of completely and partially differentiated single-nucleotide polymorphisms (SNPs) between domesticated and wild gene pools, suggesting that domesticated gene pools were derived from multiple wild ancestors. Patterns of genome-wide linkage disequilibrium, haplotype block size and number, and variant frequency within blocks showed clear contrasts among individual chromosomes and between cultivars and wild barleys. Although most cultivar chromosomes shared a single major pericentromeric haplotype, chromosome 7H clearly differentiated the two-row and six-row types associated with different geographical origins. Within the pericentromeric regions we identified 22 387 non-synonymous SNPs, 92 of which were fixed for alternative alleles in cultivar versus wild accessions. Surprisingly, only 29 SNPs found exclusively in the cultivars were predicted to be 'highly deleterious'. Overall, our data reveal an unconventional pericentromeric genetic landscape among distinct barley gene pools, with different evolutionary processes driving domestication and diversification.
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Affiliation(s)
- Yun‐Yu Chen
- The James Hutton Institute, InvergowrieDundeeDD2 5DAUK
- Fios GenomicsBioQuarter, 13 Little France RdEdinburghEH16 4UXUK
| | - Miriam Schreiber
- The James Hutton Institute, InvergowrieDundeeDD2 5DAUK
- Division of Plant Sciences, School of Life SciencesUniversity of DundeeDow StreetDundeeDD1 5EHUK
| | | | - Ian K. Dawson
- The James Hutton Institute, InvergowrieDundeeDD2 5DAUK
- Scotland's Rural College, Kings BuildingsWest Mains RdEdinburghEH9 3JGUK
| | | | - Li Lei
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Alina Akhunova
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
- Department of Plant PathologyKansas State UniversityThrockmorton HallManhattanKS66506USA
| | - Chaochih Liu
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Kevin P. Smith
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Justin C. Fay
- Department of BiologyUniversity of Rochester319 HutchisonRochesterNY14627USA
| | - Gary J. Muehlbauer
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Brian J. Steffenson
- Department of Plant PathologyUniversity of Minnesota495 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Peter L. Morrell
- Department of Agronomy & Plant GeneticsUniversity of Minnesota411 Borlaug Hall, 1991 Buford CircleSt PaulMN55108USA
| | - Robbie Waugh
- The James Hutton Institute, InvergowrieDundeeDD2 5DAUK
- Division of Plant Sciences, School of Life SciencesUniversity of DundeeDow StreetDundeeDD1 5EHUK
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Guan P, Li X, Zhuang L, Wu B, Huang J, Zhao J, Qiao L, Zheng J, Hao C, Zheng X. Genetic dissection of lutein content in common wheat via association and linkage mapping. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3127-3141. [PMID: 35951035 DOI: 10.1007/s00122-022-04175-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
Genetic architecture controlling grain lutein content of common wheat was investigated through an integration of genome-wide association study (GWAS) and linkage analysis. Putative candidate genes involved in carotenoid metabolism and regulation were identified, which provide a basis for gene cloning and development of nutrient-enriched wheat varieties through molecular breeding. Lutein, known as 'the eye vitamin', is an important component of wheat nutritional and end-use quality. However, the genetic manipulation of grain lutein content (LUC) in common wheat has not previously been well studied. Here, quantitative trait loci (QTL) associated with the LUC measured by high performance liquid chromatography (HPLC) were first identified by integrating a genome-wide association study (GWAS) and linkage mapping. A Chinese wheat mini-core collection (MCC) of 262 accessions and a doubled haploid (DH) population derived from Jinchun 7 and L1219 were genotyped using the 90K SNP array. A total of 124 significant marker-trait associations (MTAs) on all 21 wheat chromosomes except for 1A, 4D, and 5B that formed 58 QTL were detected. Among them, six stable QTL were identified on chromosomes 2AL, 2DS, 3BL, 3DL, 7AL, and 7BS. Meanwhile, three of the ten QTL identified in the DH population, QLuc.5A.1 and QLuc.5A.2 on chromosome 5AL and QLuc.6A.2 on 6AS, were stable and independently explained 5.58-10.86% of the phenotypic variation. The QLuc.6A.2 region colocalized with two MTAs identified by GWAS. Moreover, 71 carotenoid metabolism-related candidate genes were identified, and the allelic effects were analyzed in the MCC panel based on the 90K array. Results revealed that the genes CYP97A3 (Chr. 6B) and CCD1 (Chr. 5A) were significantly associated with LUC. Additionally, the gene PSY3 (QLuc.5A.1) and several candidate genes involved in the methylerythritol 4-phosphate (MEP) pathways colocalized with stable QTL regions. The present study provides potential targets for future functional gene exploration and molecular breeding in common wheat.
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Affiliation(s)
- Panfeng Guan
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Xiaohua Li
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Lei Zhuang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Bangbang Wu
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Jinyong Huang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University/State Key Laboratory of Sustainable Dryland Agriculture, Taiyuan, 030031, China.
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Sthapit SR, Ruff TM, Hooker MA, See DR. Population structure and genetic diversity of U.S. wheat varieties. THE PLANT GENOME 2022; 15:e20196. [PMID: 35274473 DOI: 10.1002/tpg2.20196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 01/23/2022] [Indexed: 06/14/2023]
Abstract
The United States is a major wheat producer with more than a century of wheat (Triticum aestivum L.) research and breeding. Using a panel of 753 historical and modern wheat varieties grown in the United States from the early 1800s to present day, we examined population structure and changes in genetic diversity. We used previously mapped high-quality single-nucleotide polymorphism (SNP) markers from the wheat 90K SNP array for genotyping. The wheat varieties had a slight hierarchical population structure based on growth habit and then by kernel color within spring varieties and by kernel hardness within winter varieties, which corresponds with geographical distribution of the varieties. Classifying varieties by market class, which is a combination of habit, hardness, and color, accounted for the greatest amount of variation (13.3%). We did not find evidence of decreased genetic diversity of either spring or winter varieties after the release of the first semidwarf wheat variety in 1961. On the contrary, northern and Pacific spring varieties, hard red spring (HRS), hard white spring (HWS), and soft white winter (SWW) had increases in both SNP and haplotype genetic diversity after 1961. The soft white spring (SWS) and soft red winter (SRW) market classes already had high genetic diversity in varieties before 1961 and showed some evidence of decreased diversity after 1961. Examination of temporal trends in genetic diversity also did not indicate long-term decline in diversity despite occasional fluctuations.
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Affiliation(s)
- Sajal R Sthapit
- Dep. of Plant Pathology, Washington State Univ., Pullman, WA, 99164, USA
- The Land Institute, 2440 E Water Well Rd, Salina, KS, 67401, USA
| | - Travis M Ruff
- USDA-ARS Wheat Health, Genetics, and Quality Research Unit, Pullman, WA, 99164, USA
| | - Marcus A Hooker
- Dep. of Plant Pathology, Washington State Univ., Pullman, WA, 99164, USA
| | - Deven R See
- Dep. of Plant Pathology, Washington State Univ., Pullman, WA, 99164, USA
- USDA-ARS Wheat Health, Genetics, and Quality Research Unit, Pullman, WA, 99164, USA
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Bajgain P, Li C, Anderson JA. Genome-wide association mapping and genomic prediction for kernel color traits in intermediate wheatgrass (Thinopyrum intermedium). BMC PLANT BIOLOGY 2022; 22:218. [PMID: 35477400 PMCID: PMC9047355 DOI: 10.1186/s12870-022-03616-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Intermediate wheatgrass (IWG) is a novel perennial grain crop currently undergoing domestication. It offers important ecosystem benefits while producing grain suitable for human consumption. Several aspects of plant biology and genetic control are yet to be studied in this new crop. To understand trait behavior and genetic characterization of kernel color in IWG breeding germplasm from the University of Minnesota was evaluated for the CIELAB components (L*, a*, b*) and visual differences. Trait values were used in a genome-wide association scan to reveal genomic regions controlling IWG's kernel color. The usability of genomic prediction in predicting kernel color traits was also evaluated using a four-fold cross validation method. RESULTS A wide phenotypic variation was observed for all four kernel color traits with pairwise trait correlations ranging from - 0.85 to 0.27. Medium to high estimates of broad sense trait heritabilities were observed and ranged from 0.41 to 0.78. A genome-wide association scan with single SNP markers detected 20 significant marker-trait associations in 9 chromosomes and 23 associations in 10 chromosomes using multi-allelic haplotype blocks. Four of the 20 significant SNP markers and six of the 23 significant haplotype blocks were common between two or more traits. Evaluation of genomic prediction of kernel color traits revealed the visual score to have highest mean predictive ability (r2 = 0.53); r2 for the CIELAB traits ranged from 0.29-0.33. A search for candidate genes led to detection of seven IWG genes in strong alignment with MYB36 transcription factors from other cereal crops of the Triticeae tribe. Three of these seven IWG genes had moderate similarities with R-A1, R-B1, and R-D1, the three genes that control grain color in wheat. CONCLUSIONS We characterized the distribution of kernel color in IWG for the first time, which revealed a broad phenotypic diversity in an elite breeding germplasm. Identification of genetic loci controlling the trait and a proof-of-concept that genomic selection might be useful in selecting genotypes of interest could help accelerate the breeding of this novel crop towards specific end-use.
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Affiliation(s)
- Prabin Bajgain
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA.
| | - Catherine Li
- Department of Crop Sciences, University of Illinois, Urbana-Champaign, IL, 61801, USA
| | - James A Anderson
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA
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8
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Hahn C, Howard NP, Albach DC. Different Shades of Kale-Approaches to Analyze Kale Variety Interrelations. Genes (Basel) 2022; 13:genes13020232. [PMID: 35205277 PMCID: PMC8872201 DOI: 10.3390/genes13020232] [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: 12/23/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 11/16/2022] Open
Abstract
Brassica oleracea is a vegetable crop with an amazing morphological diversity. Among the various crops derived from B. oleracea, kale has been in the spotlight globally due to its various health-benefitting compounds and many different varieties. Knowledge of the existing genetic diversity is essential for the improved breeding of kale. Here, we analyze the interrelationships, population structures, and genetic diversity of 72 kale and cabbage varieties by extending our previous diversity analysis and evaluating the use of summed potential lengths of shared haplotypes (SPLoSH) as a new method for such analyses. To this end, we made use of the high-density Brassica 60K SNP array, analyzed SNPs included in an available Brassica genetic map, and used these resources to generate and evaluate the information from SPLoSH data. With our results we could consistently differentiate four groups of kale across all analyses: the curly kale varieties, Italian, American, and Russian varieties, as well as wild and cultivated types. The best results were achieved by using SPLoSH information, thus validating the use of this information in improving analyses of interrelations in kale. In conclusion, our definition of kale includes the curly varieties as the kales in a strict sense, regardless of their origin. These results contribute to a better understanding of the huge diversity of kale and its interrelations.
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Affiliation(s)
- Christoph Hahn
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University Oldenburg, 26111 Oldenburg, Germany; (N.P.H.); (D.C.A.)
- Correspondence: ; Tel.: +49-441-798-3343
| | - Nicholas P. Howard
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University Oldenburg, 26111 Oldenburg, Germany; (N.P.H.); (D.C.A.)
- Fresh Forward Breeding & Marketing, 4024 BK Eck en Wiel, The Netherlands
| | - Dirk C. Albach
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University Oldenburg, 26111 Oldenburg, Germany; (N.P.H.); (D.C.A.)
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Zhang S, Du P, Lu X, Fang J, Wang J, Chen X, Chen J, Wu H, Yang Y, Tsujimoto H, Chu C, Qi Z. Frequent numerical and structural chromosome changes in early generations of synthetic hexaploid wheat. Genome 2021; 65:205-217. [PMID: 34914567 DOI: 10.1139/gen-2021-0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Modern hexaploid wheat (Triticum aestivum L.; AABBDD) evolved from a hybrid of tetraploid wheat (closely related to Triticum turgidum L. ssp. durum (Desf.) Husn., AABB) and goatgrass (Aegilops tauschii Coss., DD). Variations in chromosome structure and ploidy played important roles in wheat evolution. How these variations occurred and their role in expanding the genetic diversity in modern wheat is mostly unknown. Synthetic hexaploid wheat (SHW) can be used to investigate chromosome variation that occurs during the early generations of existence. SHW lines derived by crossing durum wheat 'Langdon' with twelve Ae. tauschii accessions were analyzed using oligonucelotide probe multiplex fluorescence in situ hybridization (FISH) to metaphase chromosomes and SNP markers. Cluster analysis based on SNP markers categorized them into three groups. Among 702 plants from the S8 and S9 generations, 415 (59.12%) carried chromosome variations involving all 21 chromosomes but with different frequencies for each chromosome and sub-genome. Total chromosome variation frequencies varied between lines, but there was no significant difference among the three groups. The non-random chromosome variations in SHW lines detected in this research may be an indication that similar variations occurred in the early stages of wheat polyploidization and played important roles in wheat evolution.
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Affiliation(s)
- Siyu Zhang
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Pei Du
- Henan Academy of Agricultural Sciences, 74728, Henan Academy of Crop Molecular Breeding, Zhengzhou, Henan, China;
| | - Xueying Lu
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jiaxin Fang
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jiaqi Wang
- Nanjing Agricultural University, 70578, Weigang No.1, Nanjing, Jiangsu, China, 210095;
| | - Xuejun Chen
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jianyong Chen
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Hao Wu
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Yang Yang
- Zaozhuang University, 372543, Zaozhuang, Shandong, China;
| | - Hisashi Tsujimoto
- Tottori University, 13114, Arid Land Research Center, Hamasaka, Tottori, Japan;
| | - Chenggen Chu
- USDA ARS, 17123, Fargo, North Dakota, United States;
| | - Zengjun Qi
- Nanjing Agricultural University, 70578, Weigang 1,Nanjing, Nanjing, China, 210095;
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10
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Howard NP, Peace C, Silverstein KAT, Poets A, Luby JJ, Vanderzande S, Durel CE, Muranty H, Denancé C, van de Weg E. The use of shared haplotype length information for pedigree reconstruction in asexually propagated outbreeding crops, demonstrated for apple and sweet cherry. HORTICULTURE RESEARCH 2021; 8:202. [PMID: 34465774 PMCID: PMC8408172 DOI: 10.1038/s41438-021-00637-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 07/05/2021] [Accepted: 07/17/2021] [Indexed: 05/29/2023]
Abstract
Pedigree information is of fundamental importance in breeding programs and related genetics efforts. However, many individuals have unknown pedigrees. While methods to identify and confirm direct parent-offspring relationships are routine, those for other types of close relationships have yet to be effectively and widely implemented with plants, due to complications such as asexual propagation and extensive inbreeding. The objective of this study was to develop and demonstrate methods that support complex pedigree reconstruction via the total length of identical by state haplotypes (referred to in this study as "summed potential lengths of shared haplotypes", SPLoSH). A custom Python script, HapShared, was developed to generate SPLoSH data in apple and sweet cherry. HapShared was used to establish empirical distributions of SPLoSH data for known relationships in these crops. These distributions were then used to estimate previously unknown relationships. Case studies in each crop demonstrated various pedigree reconstruction scenarios using SPLoSH data. For cherry, a full-sib relationship was deduced for 'Emperor Francis, and 'Schmidt', a half-sib relationship for 'Van' and 'Windsor', and the paternal grandparents of 'Stella' were confirmed. For apple, 29 cultivars were found to share an unknown parent, the pedigree of the unknown parent of 'Cox's Pomona' was reconstructed, and 'Fameuse' was deduced to be a likely grandparent of 'McIntosh'. Key genetic resources that enabled this empirical study were large genome-wide SNP array datasets, integrated genetic maps, and previously identified pedigree relationships. Crops with similar resources are also expected to benefit from using HapShared for empowering pedigree reconstruction.
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Affiliation(s)
- Nicholas P Howard
- Institut für Biologie und Umweltwissenschaften, Carl von Ossietzky University, Oldenburg, Germany.
- Department of Horticultural Science, University of Minnesota, St. Paul, MN, USA.
| | - Cameron Peace
- Department of Horticulture and Landscape Architecture, Washington State University, Pullman, Washington, WA, USA.
| | | | - Ana Poets
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - James J Luby
- Department of Horticultural Science, University of Minnesota, St. Paul, MN, USA
| | - Stijn Vanderzande
- Department of Horticulture and Landscape Architecture, Washington State University, Pullman, Washington, WA, USA
| | - Charles-Eric Durel
- Université d'Angers, Institut Agro, INRAE, IRHS, SFR 4207, QuaSaV, Beaucouzé, France
| | - Hélène Muranty
- Université d'Angers, Institut Agro, INRAE, IRHS, SFR 4207, QuaSaV, Beaucouzé, France
| | - Caroline Denancé
- Université d'Angers, Institut Agro, INRAE, IRHS, SFR 4207, QuaSaV, Beaucouzé, France
| | - Eric van de Weg
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
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11
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Genetic Polymorphism and Lineage of Pigeon Pea [Cajanus cajan (L.) Millsp.] inferred from Chloroplast and Nuclear DNA gene regions. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-020-05036-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Wu N, Lei Y, Pei D, Wu H, Liu X, Fang J, Guo J, Wang C, Guo J, Zhang J, Liu A, Wen M, Qi Z, Yang X, Bie T, Chu C, Zhou B, Chen P. Predominant wheat-alien chromosome translocations in newly developed wheat of China. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:30. [PMID: 37309352 PMCID: PMC10236125 DOI: 10.1007/s11032-021-01206-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 01/15/2021] [Indexed: 06/14/2023]
Abstract
Founder wheat lines have played key role in Chinese wheat improvement. Wheat-Dasypyrum villosum translocation T6VS·6AL has been widely used in wheat breeding in recent years due to its high level of powdery mildew resistance and other beneficial genes. Reference oligo-nucleotide multiplex probe (ONMP)-FISH karyotypes of six T6VS·6AL donor lines were developed and used for characterizing 32 derivative cultivars and lines. T6VS·6AL was present in 27 cultivar/lines with 20 from southern China. Next, ONMP-FISH was used to study chromosome constitution of randomly collected wheat cultivars and advanced breeding lines from southern and northern regions of China: 123 lines from the regional test plots of southern China and 110 from northern China. In southern China, T6VS·6AL (35.8%) was the most predominant variation, while T1RS·1BL (27.3%) was the most predominant in northern China. The pericentric inversion perInv 6B derived from its founder wheat Funo and Abbondaza was the second most predominant chromosome variant in both regions. Other chromosome variants were present in very low frequencies. Additionally, 167 polymorphic chromosome types were identified. Based on these variations, 271 cultivars and lines were clustered into three groups, including southern, northern, and mixed groups that contained wheat from both regions. Different dominant chromosome variations were seen, indicating chromosome differentiation in the three groups of wheat. The clearly identified wheat lines with T6VS·6AL in different backgrounds and oligonucleotide probe set will facilitate their utilization in wheat breeding and in identifying other beneficial traits that may be linked to this translocation. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01206-3.
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Affiliation(s)
- Nan Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Yanhong Lei
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Dan Pei
- Horticulture College, Nanjing Agricultural University, Nanjing, 210095 China
| | - Hao Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Xin Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Jiaxin Fang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Jiangtao Guo
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
- Institute of Food Crops, Provincial Key Laboratory of Agrobiology, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014 China
| | - Conglei Wang
- Tianjin Crops Research Institute, Tianjin, 300384 China
| | - Jie Guo
- Agriculture College, Shanxi Agricultural University, Taigu, 030801 Shanxi China
| | - Jinlong Zhang
- Henan Institute of Science and Technology, Xinxiang, 453003 China
| | - Aifeng Liu
- Crop Institute, Shandong Academy of Agriculture Science, Jinan, 2501000 China
| | - Mingxing Wen
- Zhenjiang Institute of Agricultural Sciences, Jurong, 212400 Jiangsu China
| | - Zengjun Qi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Xueming Yang
- Institute of Food Crops, Provincial Key Laboratory of Agrobiology, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014 China
| | - Tongde Bie
- Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007 China
| | - Chenggen Chu
- USDA - ARS, Edward T. Schafer Agricultural Research Center, Fargo, ND 58102 USA
| | - Bo Zhou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
| | - Peidu Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China
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13
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Zhang W, Zhao J, He J, Kang L, Wang X, Zhang F, Hao C, Ma X, Chen D. Functional gene assessment of bread wheat: breeding implications in Ningxia Province. BMC PLANT BIOLOGY 2021; 21:103. [PMID: 33602134 PMCID: PMC7893757 DOI: 10.1186/s12870-021-02870-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The overall genetic distribution and divergence of cloned genes among bread wheat varieties that have occurred during the breeding process over the past few decades in Ningxia Province, China, are poorly understood. Here, we report the genetic diversities of 44 important genes related to grain yield, quality, adaptation and resistance in 121 Ningxia and 86 introduced wheat cultivars and advanced lines. RESULTS The population structure indicated characteristics of genetic components of Ningxia wheat, including landraces of particular genetic resources, introduced varieties with rich genetic diversities and modern cultivars in different periods. Analysis of allele frequencies showed that the dwarfing alleles Rht-B1b at Rht-B1 and Rht-D1b at Rht-D1, 1BL/1RS translocation, Hap-1 at GW2-6B and Hap-H at Sus2-2B are very frequently present in modern Ningxia cultivars and in introduced varieties from other regions but absent in landraces. This indicates that the introduced wheat germplasm with numerous beneficial genes is vital for broadening the genetic diversity of Ningxia wheat varieties. Large population differentiation between modern cultivars and landraces has occurred in adaptation genes. Founder parents carry excellent allele combinations of important genes, with a higher number of favorable alleles than modern cultivars. Gene flow analysis showed that six founder parents have greatly contributed to breeding improvement in Ningxia Province, particularly Zhou 8425B, for yield-related genes. CONCLUSIONS Varieties introduced from other regions with rich genetic diversity and landraces with well-adapted genetic resources have been applied to improve modern cultivars. Founder parents, particularly Zhou 8425B, for yield-related genes have contributed greatly to wheat breeding improvement in Ningxia Province. These findings will greatly benefit bread wheat breeding in Ningxia Province as well as other areas with similar ecological environments.
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Affiliation(s)
- Weijun Zhang
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
| | - Junjie Zhao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000 Henan China
| | - Jinshang He
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
| | - Ling Kang
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
| | - Xiaoliang Wang
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
| | - Fuguo Zhang
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xiongfeng Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000 Henan China
| | - Dongsheng Chen
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 Ningxia China
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14
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Hessenauer P, Feau N, Gill U, Schwessinger B, Brar GS, Hamelin RC. Evolution and Adaptation of Forest and Crop Pathogens in the Anthropocene. PHYTOPATHOLOGY 2021; 111:49-67. [PMID: 33200962 DOI: 10.1094/phyto-08-20-0358-fi] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Anthropocene marks the era when human activity is making a significant impact on earth, its ecological and biogeographical systems. The domestication and intensification of agricultural and forest production systems have had a large impact on plant and tree health. Some pathogens benefitted from these human activities and have evolved and adapted in response to the expansion of crop and forest systems, resulting in global outbreaks. Global pathogen genomics data including population genomics and high-quality reference assemblies are crucial for understanding the evolution and adaptation of pathogens. Crops and forest trees have remarkably different characteristics, such as reproductive time and the level of domestication. They also have different production systems for disease management with more intensive management in crops than forest trees. By comparing and contrasting results from pathogen population genomic studies done on widely different agricultural and forest production systems, we can improve our understanding of pathogen evolution and adaptation to different selection pressures. We find that in spite of these differences, similar processes such as hybridization, host jumps, selection, specialization, and clonal expansion are shaping the pathogen populations in both crops and forest trees. We propose some solutions to reduce these impacts and lower the probability of global pathogen outbreaks so that we can envision better management strategies to sustain global food production as well as ecosystem services.
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Affiliation(s)
- Pauline Hessenauer
- Faculty of Forestry, Geography and Geomatics, Laval University, Quebec City, QC, G1V 0A6 Canada
| | - Nicolas Feau
- Faculty of Forestry, The University of British Columbia, Vancouver, BC, V6T 1Z4 Canada
| | - Upinder Gill
- College of Agriculture, Food Systems, and Natural Resources, North Dakota State University, Fargo, ND 58102, U.S.A
| | - Benjamin Schwessinger
- Research School of Biology, Australian National University, Acton, ACT 2601 Australia
| | - Gurcharn S Brar
- Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, V6T 1Z4 Canada
| | - Richard C Hamelin
- Faculty of Forestry, Geography and Geomatics, Laval University, Quebec City, QC, G1V 0A6 Canada
- Faculty of Forestry, The University of British Columbia, Vancouver, BC, V6T 1Z4 Canada
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15
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Hao C, Jiao C, Hou J, Li T, Liu H, Wang Y, Zheng J, Liu H, Bi Z, Xu F, Zhao J, Ma L, Wang Y, Majeed U, Liu X, Appels R, Maccaferri M, Tuberosa R, Lu H, Zhang X. Resequencing of 145 Landmark Cultivars Reveals Asymmetric Sub-genome Selection and Strong Founder Genotype Effects on Wheat Breeding in China. MOLECULAR PLANT 2020; 13:1733-1751. [PMID: 32896642 DOI: 10.1016/j.molp.2020.09.001] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/19/2020] [Accepted: 09/02/2020] [Indexed: 05/18/2023]
Abstract
Controlled pedigrees and the multi-decade timescale of national crop plant breeding programs offer a unique experimental context for examining how selection affects plant genomes. More than 3000 wheat cultivars have been registered, released, and documented since 1949 in China. In this study, a set of 145 elite cultivars selected from historical points of wheat breeding in China were re-sequenced. A total of 43.75 Tb of sequence data were generated with an average read depth of 17.94× for each cultivar, and more than 60.92 million SNPs and 2.54 million InDels were captured, based on the Chinese Spring RefSeq genome v1.0. Seventy years of breeder-driven selection led to dramatic changes in grain yield and related phenotypes, with distinct genomic regions and phenotypes targeted by different breeders across the decades. There are very clear instances illustrating how introduced Italian and other foreign germplasm was integrated into Chinese wheat programs and reshaped the genomic landscape of local modern cultivars. Importantly, the resequencing data also highlighted significant asymmetric breeding selection among the three sub-genomes: this was evident in both the collinear blocks for homeologous chromosomes and among sets of three homeologous genes. Accumulation of more newly assembled genes in newer cultivars implied the potential value of these genes in breeding. Conserved and extended sharing of linkage disequilibrium (LD) blocks was highlighted among pedigree-related cultivars, in which fewer haplotype differences were detected. Fixation or replacement of haplotypes from founder genotypes after generations of breeding was related to their breeding value. Based on the haplotype frequency changes in LD blocks of pedigree-related cultivars, we propose a strategy for evaluating the breeding value of any given line on the basis of the accumulation (pyramiding) of beneficial haplotypes. Collectively, our study demonstrates the influence of "founder genotypes" on the output of breeding efforts over many decades and also suggests that founder genotype perspectives are in fact more dynamic when applied in the context of modern genomics-informed breeding.
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Affiliation(s)
- Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chengzhi Jiao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Novogene Bioinformatics Institute, Beijing 100083, China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Hongxia Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yuquan Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jun Zheng
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Hong Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhihong Bi
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Fengfeng Xu
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Jing Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lin Ma
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yamei Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Uzma Majeed
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xu Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Marco Maccaferri
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Roberto Tuberosa
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Hongfeng Lu
- Novogene Bioinformatics Institute, Beijing 100083, China.
| | - Xueyong Zhang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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16
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Guo J, Li C, Zhao J, Guo J, Shi W, Cheng S, Zhou M, Hao C. Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation. BMC PLANT BIOLOGY 2020; 20:494. [PMID: 33109100 PMCID: PMC7590805 DOI: 10.1186/s12870-020-02704-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/14/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND China has diverse wheat varieties that adapt to very different environments divided into ten agro-ecological zones. A better understanding of genomic differences and patterns of selection among agro-ecological zones could provide useful information in selection of specific adaptive traits in breeding. RESULTS We genotyped 438 wheat accessions from ten zones with kompetitive allele specific PCR (KASP) markers specific to 47 cloned genes for grain yield, quality, adaptation and stress resistance. Phylogenetic trees and principle component analysis revealed clear differences in winter and spring growth habits. Nucleotide diversity (π) and π ratio (πCL/πMCC) suggested that genetic diversity had increased during breeding, and that Chinese landraces (CL) from Zones I-V contributed little to modern Chinese cultivars (MCC). π ratio and Fst identified 24 KASP markers with 53 strong selection signals specific to Zones I (9 signals), II (12), III (5), IV (5), V (6), and VI (6). Genes with clear genetic differentiation and strong response to selection in at least three zones were leaf rust resistance gene Lr34 (I, II, III and IV), photoperiod sensitivity gene Ppd-D1 (I, II, III, IV and V), vernalization gene Vrn-B1 (V, VII, VIII and X), quality-related gene Glu-B1 (I, II and III) and yield-related genes Sus1-7B (I, II, III, IV and IX), Sus2-2A (I, II, III., IV and VI) and GW2-6B (II, V and VI). CONCLUSIONS This study examined selection of multiple genes in each zone, traced the distribution of important genetic variations and provided useful information for ecological genomics and enlightening future breeding goals for different agro-ecological zones.
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Affiliation(s)
- Jie Guo
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Chang Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Junjie Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiahui Guo
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Weiping Shi
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Shunhe Cheng
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
- Key Laboratory of Wheat Biology and Genetic Improvement for Middle and Lower Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Agricultural Institute of Jiangsu Province, Yangzhou, 225007, Jiangsu, China
| | - Meixue Zhou
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 1375, Prospect, TAS, 7250, Australia
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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17
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Yang F, Liu J, Guo Y, He Z, Rasheed A, Wu L, Cao S, Nan H, Xia X. Genome-Wide Association Mapping of Adult-Plant Resistance to Stripe Rust in Common Wheat ( Triticum aestivum). PLANT DISEASE 2020; 104:2174-2180. [PMID: 32452749 DOI: 10.1094/pdis-10-19-2116-re] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a globally devastating disease of common wheat (Triticum aestivum L.), resulting in substantial economic losses. To identify effective resistance genes, a genome-wide association study was conducted on 120 common wheat lines from different wheat-growing regions of China using the wheat 90K iSelect SNP array. Seventeen loci were identified, explaining 9.5 to 21.8% of the phenotypic variation. Most of these genes were detected in the A (seven) and B (seven) genomes, with only three in the D genome. Among them, 11 loci were colocated with known resistance genes or quantitative trait loci reported previously, whereas the other six are likely new resistance loci. Annotation of flanking sequences of significantly associated SNPs indicated the presence of three important candidate genes, including E3 ubiquitin-protein ligase, F-box repeat protein, and disease resistance RPP13-like protein. This study increased our knowledge in understanding the genetic architecture for stripe rust resistance and identified wheat varieties with multiple resistance alleles, which are useful for improvement of stripe rust resistance in breeding.
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Affiliation(s)
- Fangping Yang
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu 730070, China
| | - Jindong Liu
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Ying Guo
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu 730070, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Awais Rasheed
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Ling Wu
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan 610066, China
| | - Shiqin Cao
- Institute of Plant Protection, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu 730070, China
| | - Hai Nan
- Tianshui Institute of Agricultural Sciences, Tianshui, Gansu 741200, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
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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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19
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Bariah I, Keidar-Friedman D, Kashkush K. Where the Wild Things Are: Transposable Elements as Drivers of Structural and Functional Variations in the Wheat Genome. FRONTIERS IN PLANT SCIENCE 2020; 11:585515. [PMID: 33072155 PMCID: PMC7530836 DOI: 10.3389/fpls.2020.585515] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/08/2020] [Indexed: 05/16/2023]
Abstract
Transposable elements (TEs) are major contributors to genome plasticity and thus are likely to have a dramatic impact on genetic diversity and speciation. Recent technological developments facilitated the sequencing and assembly of the wheat genome, opening the gate for whole genome analysis of TEs in wheat, which occupy over 80% of the genome. Questions that have been long unanswered regarding TE dynamics throughout the evolution of wheat, are now being addressed more easily, while new questions are rising. In this review, we discuss recent advances in the field of TE dynamics in wheat and possible future directions.
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20
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Luján Basile SM, Ramírez IA, Crescente JM, Conde MB, Demichelis M, Abbate P, Rogers WJ, Pontaroli AC, Helguera M, Vanzetti LS. Haplotype block analysis of an Argentinean hexaploid wheat collection and GWAS for yield components and adaptation. BMC PLANT BIOLOGY 2019; 19:553. [PMID: 31842779 PMCID: PMC6916457 DOI: 10.1186/s12870-019-2015-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 09/03/2019] [Indexed: 05/06/2023]
Abstract
BACKGROUND Increasing wheat (Triticum aestivum L.) production is required to feed a growing human population. In order to accomplish this task a deeper understanding of the genetic structure of cultivated wheats and the detection of genomic regions significantly associated with the regulation of important agronomic traits are necessary steps. To better understand the genetic basis and relationships of adaptation and yield related traits, we used a collection of 102 Argentinean hexaploid wheat cultivars genotyped with the 35k SNPs array, grown from two to six years in three different locations. Based on SNPs data and gene-related molecular markers, we performed a haplotype block characterization of the germplasm and a genome-wide association study (GWAS). RESULTS The genetic structure of the collection revealed four subpopulations, reflecting the origin of the germplasm used by the main breeding programs in Argentina. The haplotype block characterization showed 1268 blocks of different sizes spread along the genome, including highly conserved regions like the 1BS chromosome arm where the 1BL/1RS wheat/rye translocation is located. Based on GWAS we identified ninety-seven chromosome regions associated with heading date, plant height, thousand grain weight, grain number per spike and fruiting efficiency at harvest (FEh). In particular FEh stands out as a promising trait to raise yield potential in Argentinean wheats; we detected fifteen haplotypes/markers associated with increased FEh values, eleven of which showed significant effects in all three evaluated locations. In the case of adaptation, the Ppd-D1 gene is consolidated as the main determinant of the life cycle of Argentinean wheat cultivars. CONCLUSION This work reveals the genetic structure of the Argentinean hexaploid wheat germplasm using a wide set of molecular markers anchored to the Ref Seq v1.0. Additionally GWAS detects chromosomal regions (haplotypes) associated with important yield and adaptation components that will allow improvement of these traits through marker-assisted selection.
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Affiliation(s)
- Silvana Marisol Luján Basile
- Laboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300 Argentina
| | - Ignacio Abel Ramírez
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
| | - Juan Manuel Crescente
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Maria Belén Conde
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Melina Demichelis
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Pablo Abbate
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
| | - William John Rogers
- Laboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Ana Clara Pontaroli
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Marcelo Helguera
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Leonardo Sebastián Vanzetti
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
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Liu J, Rasheed A, He Z, Imtiaz M, Arif A, Mahmood T, Ghafoor A, Siddiqui SU, Ilyas MK, Wen W, Gao F, Xie C, Xia X. Genome-wide variation patterns between landraces and cultivars uncover divergent selection during modern wheat breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2509-2523. [PMID: 31139853 DOI: 10.1007/s00122-019-03367-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 05/17/2019] [Indexed: 05/21/2023]
Abstract
Genetic diversity, population structure, LD decay, and selective sweeps in 687 wheat accessions were analyzed, providing relevant guidelines to facilitate the use of the germplasm in wheat breeding. Common wheat (Triticum aestivum L.) is one of the most widely grown crops in the world. Landraces were subjected to strong human-mediated selection in developing high-yielding, good quality, and widely adapted cultivars. To investigate the genome-wide patterns of allelic variation, population structure and patterns of selective sweeps during modern wheat breeding, we tested 687 wheat accessions, including landraces (148) and cultivars (539) mainly from China and Pakistan in a wheat 90 K single nucleotide polymorphism array. Population structure analysis revealed that cultivars and landraces from China and Pakistan comprised three relatively independent genetic clusters. Cultivars displayed lower nucleotide diversity and a wider average LD decay across whole genome, indicating allelic erosion and a diversity bottleneck due to the modern breeding. Analysis of genetic differentiation between landraces and cultivars from China and Pakistan identified allelic variants subjected to selection during modern breeding. In total, 477 unique genome regions showed signatures of selection, where 109 were identified in both China and Pakistan germplasm. The majority of genomic regions were located in the B genome (225), followed by the A genome (175), and only 77 regions were located in the D genome. EigenGWAS was further used to identify key selection loci in modern wheat cultivars from China and Pakistan by comparing with global winter wheat and spring wheat diversity panels, respectively. A few known functional genes or loci found within these genome regions corresponded to known phenotypes for disease resistance, vernalization, quality, adaptability and yield-related traits. This study uncovered molecular footprints of modern wheat breeding and explained the genetic basis of polygenic adaptation in wheat. The results will be useful for understanding targets of modern wheat breeding, and in devising future breeding strategies to target beneficial alleles currently not pursued.
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Affiliation(s)
- Jindong Liu
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- Department of Plant Genetics and Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - 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) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
- Quaid-i-Azam University, Islamabad, 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) China Office, c/o 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
| | - Anjuman Arif
- National Institute of Agriculture and Biology (NIAB), Faisalabad, Pakistan
| | | | - Abdul Ghafoor
- Bio-resources Conservation Institute (BCI), National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Sadar Uddin Siddiqui
- Bio-resources Conservation Institute (BCI), National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Muhammad Kashif Ilyas
- Bio-resources Conservation Institute (BCI), National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Weie Wen
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Fengmei Gao
- Crop Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, Heilongjiang, China
| | - Chaojie Xie
- Department of Plant Genetics and Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Xianchun Xia
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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22
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Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats. G3-GENES GENOMES GENETICS 2019; 9:1957-1973. [PMID: 31018942 PMCID: PMC6553533 DOI: 10.1534/g3.119.400010] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Crop-wild introgressions have long been exploited without knowing the favorable recombination points. Synthetic hexaploid wheats are one of the most exploited genetic resources for bread wheat improvement. However, despite some QTL with major effects, much less is known about genome-wide patterns of introgressions and their effects on phenotypes. We used two genome-wide association approaches: SNP-GWAS and haplotype-GWAS to identify SNPs and haplotypes associated with productivity under water-limited conditions in a synthetic-derived wheat (SYN-DER) population. Haplotype-GWAS further enriched and identified 20 more genomic regions associated with drought adaptability that did not overlap with SNP-GWAS. Since GWAS is biased to the phenotypes in the study and may fail to detect important genetic diversity during breeding, we used five complementary analytical approaches (t-test, Tajima’s D, nucleotide diversity (π), Fst, and EigenGWAS) to identify divergent selections in SYN-DER compared to modern bread wheat. These approaches consistently pinpointed 89 ‘selective sweeps’, out of which 30 selection loci were identified on D-genome. These key selections co-localized with important functional genes of adaptive traits such as TaElf3-D1 (1D) for earliness per se (Eps), TaCKX-D1 (3D), TaGS1a (6D) and TaGS-D1 (7D) for grain size, weight and morphology, TaCwi-D1 (5D) influencing drought tolerance, and Vrn-D3 (7D) for vernalization. Furthermore, 55 SNPs and 23 haplotypes of agronomic and physiological importance such as grain yield, relative water content and thousand grain weight in SYN-DER, were among the top 5% of divergent selections contributed by synthetic hexaploid wheats. These divergent selections associated with improved agronomic performance carry new alleles that have been introduced to wheat. Our results demonstrated that GWAS and selection sweep analyses are powerful approaches for investigating favorable introgressions under strong selection pressure and the use of crop-wild hybridization to assist the improvement of wheat yield and productivity under moisture limiting environments.
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Balfourier F, Bouchet S, Robert S, De Oliveira R, Rimbert H, Kitt J, Choulet F, Paux E. Worldwide phylogeography and history of wheat genetic diversity. SCIENCE ADVANCES 2019; 5:eaav0536. [PMID: 31149630 PMCID: PMC6541461 DOI: 10.1126/sciadv.aav0536] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 04/22/2019] [Indexed: 05/05/2023]
Abstract
Since its domestication in the Fertile Crescent ~8000 to 10,000 years ago, wheat has undergone a complex history of spread, adaptation, and selection. To get better insights into the wheat phylogeography and genetic diversity, we describe allele distribution through time using a set of 4506 landraces and cultivars originating from 105 different countries genotyped with a high-density single-nucleotide polymorphism array. Although the genetic structure of landraces is collinear to ancient human migration roads, we observe a reshuffling through time, related to breeding programs, with the appearance of new alleles enriched with structural variations that may be the signature of introgressions from wild relatives after 1960.
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Affiliation(s)
- François Balfourier
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
- Corresponding author. (F.B.); (E.P.)
| | - Sophie Bouchet
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | - Sandra Robert
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | - Romain De Oliveira
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | - Hélène Rimbert
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | - Jonathan Kitt
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | - Frédéric Choulet
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
| | | | | | - Etienne Paux
- GDEC, INRA, Université Clermont Auvergne, 5 chemin de Beaulieu, 63000 Clermont-Ferrand, France
- Corresponding author. (F.B.); (E.P.)
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Wang Y, Hou J, Liu H, Li T, Wang K, Hao C, Liu H, Zhang X. TaBT1, affecting starch synthesis and thousand kernel weight, underwent strong selection during wheat improvement. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:1497-1511. [PMID: 30753656 PMCID: PMC6411380 DOI: 10.1093/jxb/erz032] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 01/16/2019] [Indexed: 05/19/2023]
Abstract
BRITTLE1 (BT1), responsible for unidirectional transmembrane transport of ADP-glucose, plays a pivotal role in starch synthesis of cereal grain. In this study, we isolated three TaBT1 homoeologous genes located on chromosomes 6A, 6B, and 6D in common wheat. TaBT1 was mainly expressed in developing grains, and knockdown of TaBT1 in common wheat produced a decrease in grain size, thousand kernel weight (TKW), and grain total starch content. High diversity was detected at the TaBT1-6B locus, with 24 polymorphic sites forming three haplotypes (Hap1, Hap2, and Hap3). Association analysis revealed that Hap1 and Hap2 were preferred haplotypes in modern breeding, for their significant correlations with higher TKW. Furthermore, β-glucuronidase (GUS) staining and enzyme activity assays in developing grains of transgenic rice with exogenous promoters indicated that the promoters of Hap1 and Hap2 showed stronger driving activity than that of Hap3. Evolutionary analysis revealed that BT1 underwent strong selection during wheat polyploidization. In addition, the frequency distribution of TaBT1-6B haplotypes revealed that Hap1 and Hap2 were preferred in global modern wheat cultivars. Our findings suggest that TaBT1 has an important effect on starch synthesis and TKW, and provide two valuable molecular markers for marker assisted selection (MAS) in wheat high-yield breeding.
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Affiliation(s)
- Yamei Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hong Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement, College of Agricultural Sciences, Nanjing Agricultural University, Weigang, Nanjing, Jiangsu, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Ke Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hongxia Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Xueyong Zhang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Correspondence:
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25
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Zhao J, Wang Z, Liu H, Zhao J, Li T, Hou J, Zhang X, Hao C. Global status of 47 major wheat loci controlling yield, quality, adaptation and stress resistance selected over the last century. BMC PLANT BIOLOGY 2019; 19:5. [PMID: 30606117 PMCID: PMC6318892 DOI: 10.1186/s12870-018-1612-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 12/20/2018] [Indexed: 05/24/2023]
Abstract
BACKGROUND Wheat breeding over the last 100 years has increased productivity by adapting genotypes to local conditions, but the genomic changes and selection signals that caused phenotypic change during breeding are essentially unknown. Studying and understanding human selection of multiple important genes controlling key phenotypic traits will promote wheat molecular breeding. RESULTS A total of 1152 diverse global wheat materials were genotyped based on KASP markers from 47 genes controlling grain yield, grain quality, adaptation, and stress resistance. Significant phenotypic variations between landraces and modern cultivars were found in 11 adaptive and yield-related traits. Thirty-six improvement-selective favorable alleles, including 22 positive prolonged and 14 negative selection alleles, were identified through comparing frequency spectra. Sus1-7A-Hap-H, Sus1-7B-Hap-T, Sus2-2A-Hap-A, TGW6-A1a, Cwi-4A-Hap-C, vrn-A1, PHS1-PHS+ and Lr34+ were subjected to strong selection, and overwhelmingly strong selection had occurred before improvement selection at Psy-A1b, Psy-B1a or b, Psy-D1a and Cwi-5D-Hap-C. However, Rht-B1b, Rht-D1b and 1BL.1RS were rare or absent in Chinese landraces but present in modern Chinese cultivars and introduced accessions. Importantly, Lr68+, Fhb1+, Wx-B1b and Yr15+, currently existing at a low frequency, should be regarded as further major improvement targets in global wheat breeding. Gene flow analysis showed that introduced cultivars especially from the former USSR and Italy contributed to enriched genetic variation in modern Chinese cultivars. CONCLUSIONS This work objectively reports human selection on favorable alleles of multiple crucial genes in Asia, Europe, North America and CIMMYT, and traces the distribution of important genes in global wheat for molecular breeding.
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Affiliation(s)
- Junjie Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Zhiwei Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Hongxia Liu
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jing Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xueyong Zhang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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Saccomanno A, Matny O, Marone D, Laidò G, Petruzzino G, Mazzucotelli E, Desiderio F, Blanco A, Gadaleta A, Pecchioni N, De Vita P, Steffenson B, Mastrangelo AM. Genetic Mapping of Loci for Resistance to Stem Rust in a Tetraploid Wheat Collection. Int J Mol Sci 2018; 19:E3907. [PMID: 30563213 PMCID: PMC6321032 DOI: 10.3390/ijms19123907] [Citation(s) in RCA: 11] [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: 11/07/2018] [Revised: 12/04/2018] [Accepted: 12/04/2018] [Indexed: 01/31/2023] Open
Abstract
Stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), is a major biotic constraint to wheat production worldwide. Disease resistant cultivars are a sustainable means for the efficient control of this disease. To identify quantitative trait loci (QTLs) conferring resistance to stem rust at the seedling stage, an association mapping panel consisting of 230 tetraploid wheat accessions were evaluated for reaction to five Pgt races under greenhouse conditions. A high level of phenotypic variation was observed in the panel in response to all of the races, allowing for genome-wide association mapping of resistance QTLs in wild, landrace, and cultivated tetraploid wheats. Twenty-two resistance QTLs were identified, which were characterized by at least two marker-trait associations. Most of the identified resistance loci were coincident with previously identified rust resistance genes/QTLs; however, six regions detected on chromosomes 1B, 5A, 5B, 6B, and 7B may be novel. Availability of the reference genome sequence of wild emmer wheat accession Zavitan facilitated the search for candidate resistance genes in the regions where QTLs were identified, and many of them were annotated as NOD (nucleotide binding oligomerization domain)-like receptor (NLR) genes or genes related to broad spectrum resistance.
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Affiliation(s)
- Antonietta Saccomanno
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Oadi Matny
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
| | - Daniela Marone
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Giovanni Laidò
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Giuseppe Petruzzino
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Elisabetta Mazzucotelli
- Council for Agricultural Research and Economics, Research Centre for Genomics and Bioinfomatics, 29017 Fiorenzuola d'Arda (PC), Italy.
| | - Francesca Desiderio
- Council for Agricultural Research and Economics, Research Centre for Genomics and Bioinfomatics, 29017 Fiorenzuola d'Arda (PC), Italy.
| | - Antonio Blanco
- Department of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University of Bari, 70126 Bari, Italy.
| | - Agata Gadaleta
- Department of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University of Bari, 70126 Bari, Italy.
| | - Nicola Pecchioni
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Pasquale De Vita
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 71122 Foggia (FG), Italy.
| | - Brian Steffenson
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
| | - Anna Maria Mastrangelo
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, 24126 Bergamo (BG), Italy.
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Huang X, Zhu M, Zhuang L, Zhang S, Wang J, Chen X, Wang D, Chen J, Bao Y, Guo J, Zhang J, Feng Y, Chu C, Du P, Qi Z, Wang H, Chen P. Structural chromosome rearrangements and polymorphisms identified in Chinese wheat cultivars by high-resolution multiplex oligonucleotide FISH. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:1967-1986. [PMID: 29947816 DOI: 10.1007/s00122-018-3126-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 06/01/2018] [Indexed: 05/02/2023]
Abstract
High-resolution multiplex oligonucleotide FISH revealed the frequent occurrence of structural chromosomal rearrangements and polymorphisms in widely grown wheat cultivars and their founders. Over 2000 wheat cultivars including 19 founders were released and grown in China from 1949 to 2000. To understand the impact of breeding selection on chromosome structural variations, high-resolution karyotypes of Chinese Spring (CS) and 373 Chinese cultivars were developed and compared by FISH (fluorescence in situ hybridization) using an oligonucleotide multiplex probe based on repeat sequences. Among them, 148 (39.7%) accessions carried 14 structural rearrangements including three single translocations (designated as T), eight reciprocal translocations (RT), one pericentric inversion (perInv), and two combined variations having both the deletion and single translocations. Five rearrangements were traced to eight founders, including perInv 6B detected in 57 cultivars originating from Funo, Abbondanza, and Fan 6, T 1RS∙1BL in 47 cultivars derived from the Lovrin series, RT 4AS∙4AL-1DS/1DL∙1DS-4AL in 31 varieties from Mazhamai and Bima 4, RT 1RS∙7DL/7DS∙1BL in three cultivars was from Aimengniu, and RT 5BS∙5BL-5DL/5DS∙5DL-5BL was only detected in Youzimai. In addition to structural rearrangements, 167 polymorphic chromosome blocks (defined as unique signal patterns of oligonucleotide repeat probes distributed within chromosomes) were identified, and 59 were present in one or more founders. Some specific types were present at high frequencies indicating selective blocks in Chinese wheat varieties. All cultivars and CS were clustered into four groups and 15 subgroups at chromosome level. Common block patterns occurred in the same subgroup. Origin, geographic distribution, probable adaptation to specific environments, and potential use of these chromosomal rearrangements and blocks are discussed.
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Affiliation(s)
- Xinyi Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Minqiu Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Lifang Zhuang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Siyu Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Junjuan Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xuejun Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Danrui Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jianyong Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yinguang Bao
- State Key Laboratory of Crop Biology, Agronomy College, Shandong Agricultural University, Taian, 271018, China
| | - Jie Guo
- College of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China
| | - Jinlong Zhang
- Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Yigao Feng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Chenggen Chu
- Texas A&M Agrilife Research, Amarillo, TX, 79106, USA
| | - Pei Du
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Zengjun Qi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Honggang Wang
- State Key Laboratory of Crop Biology, Agronomy College, Shandong Agricultural University, Taian, 271018, China.
| | - Peidu Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
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28
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Singh S, Vikram P, Sehgal D, Burgueño J, Sharma A, Singh SK, Sansaloni CP, Joynson R, Brabbs T, Ortiz C, Solis-Moya E, Govindan V, Gupta N, Sidhu HS, Basandrai AK, Basandrai D, Ledesma-Ramires L, Suaste-Franco MP, Fuentes-Dávila G, Moreno JI, Sonder K, Singh VK, Singh S, Shokat S, Arif MAR, Laghari KA, Srivastava P, Bhavani S, Kumar S, Pal D, Jaiswal JP, Kumar U, Chaudhary HK, Crossa J, Payne TS, Imtiaz M, Sohu VS, Singh GP, Bains NS, Hall A, Pixley KV. Harnessing genetic potential of wheat germplasm banks through impact-oriented-prebreeding for future food and nutritional security. Sci Rep 2018; 8:12527. [PMID: 30131572 PMCID: PMC6104032 DOI: 10.1038/s41598-018-30667-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 08/02/2018] [Indexed: 12/03/2022] Open
Abstract
The value of exotic wheat genetic resources for accelerating grain yield gains is largely unproven and unrealized. We used next-generation sequencing, together with multi-environment phenotyping, to study the contribution of exotic genomes to 984 three-way-cross-derived (exotic/elite1//elite2) pre-breeding lines (PBLs). Genomic characterization of these lines with haplotype map-based and SNP marker approaches revealed exotic specific imprints of 16.1 to 25.1%, which compares to theoretical expectation of 25%. A rare and favorable haplotype (GT) with 0.4% frequency in gene bank identified on chromosome 6D minimized grain yield (GY) loss under heat stress without GY penalty under irrigated conditions. More specifically, the ‘T’ allele of the haplotype GT originated in Aegilops tauschii and was absent in all elite lines used in study. In silico analysis of the SNP showed hits with a candidate gene coding for isoflavone reductase IRL-like protein in Ae. tauschii. Rare haplotypes were also identified on chromosomes 1A, 6A and 2B effective against abiotic/biotic stresses. Results demonstrate positive contributions of exotic germplasm to PBLs derived from crosses of exotics with CIMMYT’s best elite lines. This is a major impact-oriented pre-breeding effort at CIMMYT, resulting in large-scale development of PBLs for deployment in breeding programs addressing food security under climate change scenarios.
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Affiliation(s)
- Sukhwinder Singh
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico.
| | - Prashant Vikram
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Deepmala Sehgal
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Juan Burgueño
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Achla Sharma
- Department Plant Breeding & Genetics, Punjab Agriculture University, Ludhiana, 141004, India
| | - Sanjay K Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, 132001, India
| | - Carolina P Sansaloni
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Ryan Joynson
- Earlham Institute, Norwich, Norfolk, NR4 7UG, UK
| | | | - Cynthia Ortiz
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Ernesto Solis-Moya
- Carretera Celaya-San Miguel de Allende, Km 0.6.5, C.P., 38110, Celaya, Guanajuato, Mexico
| | - Velu Govindan
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Naveen Gupta
- Borlaug Institute for South Asia (BISA), CIMMYT, Ladhowal, Punjab, 141004, India
| | - Harminder S Sidhu
- Borlaug Institute for South Asia (BISA), CIMMYT, Ladhowal, Punjab, 141004, India
| | - Ashwani K Basandrai
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, Himachal Pradesh, 176062, India
| | - Daisy Basandrai
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, Himachal Pradesh, 176062, India
| | | | - Maria P Suaste-Franco
- Carretera Celaya-San Miguel de Allende, Km 0.6.5, C.P., 38110, Celaya, Guanajuato, Mexico
| | - Guillermo Fuentes-Dávila
- INIFAP-CIRNO, Campo Experimental Norman E. Borlaug, Apdo. Postal 155, Km 12 Norman E. Borlaug, Cd. Obregon, Sonora, C.P., 85000, Mexico
| | - Javier I Moreno
- INIFAP, Interior Parque Los Colomos S/N, Colonia Providencia, CP, 44660, Guadalajara, Jalisco, Mexico
| | - Kai Sonder
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Vaibhav K Singh
- ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110 012, India
| | - Sanjay Singh
- National Research Center for Plant Biotechnology, New Delhi, 110 012, India
| | - Sajid Shokat
- Nuclear Institute for Agriculture and Biology, Faislabad, 38000, Pakistan.,Department of Plant and Environmental Sciences, Crop Science, University of Copenhagen, Højbakkegård Allé 13, DK-2630, Taastrup, Denmark
| | - Mian A R Arif
- Nuclear Institute for Agriculture and Biology, Faislabad, 38000, Pakistan
| | - Khalil A Laghari
- Nuclear Institute of Agriculture, Tando Jam, Sindh, 70050, Pakistan
| | - Puja Srivastava
- Department Plant Breeding & Genetics, Punjab Agriculture University, Ludhiana, 141004, India
| | - Sridhar Bhavani
- CIMMYT - World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri. P.O. Box 1041-00621, Nairobi, Kenya
| | - Satish Kumar
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, 132001, India
| | - Dharam Pal
- ICAR-Indian Agricultural Research Institute, Regional Station, Shimla, 171004, India
| | - Jai P Jaiswal
- Department of Genetics and Plant Breeding, G.B. Pant University of Agriculture & Technology, Pantnagar, 263145, Uttarakhand, India
| | - Uttam Kumar
- Borlaug Institute for South Asia (BISA), CIMMYT, Ladhowal, Punjab, 141004, India
| | - Harinder K Chaudhary
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, Himachal Pradesh, 176062, India
| | - Jose Crossa
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Thomas S Payne
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico
| | - Muhammad Imtiaz
- CIMMYT - Pakistan, NARC CSI Complex, Park Road, Islamabad, 44000, Pakistan
| | - Virinder S Sohu
- Department Plant Breeding & Genetics, Punjab Agriculture University, Ludhiana, 141004, India
| | - Gyanendra P Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, 132001, India
| | - Navtej S Bains
- Department Plant Breeding & Genetics, Punjab Agriculture University, Ludhiana, 141004, India
| | - Anthony Hall
- Earlham Institute, Norwich, Norfolk, NR4 7UG, UK.,School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Kevin V Pixley
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, C.P., 56237, Mexico.
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29
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Jia M, Guan J, Zhai Z, Geng S, Zhang X, Mao L, Li A. Wheat functional genomics in the era of next generation sequencing: An update. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.cj.2017.09.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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