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Ma M, Wu L, Li M, Li L, Guo L, Ka D, Zhang T, Zhou M, Wu B, Peng H, Hu Z, Liu X, Jing R, Zhao H. Pleiotropic phenotypic effects of the TaCYP78A family on multiple yield-related traits in wheat. PLANT BIOTECHNOLOGY JOURNAL 2024. [PMID: 38783571 DOI: 10.1111/pbi.14385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/11/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Increasing crop yield depends on selecting and utilizing pleiotropic genes/alleles to improve multiple yield-related traits (YRTs) during crop breeding. However, synergistic improvement of YRTs is challenging due to the trade-offs between YRTs in breeding practices. Here, the favourable haplotypes of the TaCYP78A family are identified by analysing allelic variations in 1571 wheat accessions worldwide, demonstrating the selection and utilization of pleiotropic genes to improve yield and related traits during wheat breeding. The TaCYP78A family members, including TaCYP78A3, TaCYP78A5, TaCYP78A16, and TaCYP78A17, are organ size regulators expressed in multiple organs, and their allelic variations associated with various YRTs. However, due to the trade-offs between YRTs, knockdown or overexpression of TaCYP78A family members does not directly increase yield. Favourable haplotypes of the TaCYP78A family, namely A3/5/16/17Ap-Hap II, optimize the expression levels of TaCYP78A3/5/16/17-A across different wheat organs to overcome trade-offs and improve multiple YRTs. Different favourable haplotypes have both complementary and specific functions in improving YRTs, and their aggregation in cultivars under strong artificial selection greatly increase yield, even under various planting environments and densities. These findings provide new support and valuable genetic resources for molecular breeding of wheat and other crops in the era of Breeding 4.0.
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Affiliation(s)
- Meng Ma
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A & F University, Yangling, Shaanxi, China
| | - Linnan Wu
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Mengyao Li
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Long Li
- State Key Laboratory of Crop Gene Resources and Breeding / Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lijian Guo
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
| | - Deyan Ka
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Tianxing Zhang
- College of Agronomy, Northwest A & F University, Yangling, Shaanxi, China
| | - Mengdie Zhou
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Baowei Wu
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Haixia Peng
- College of Landscape Architecture and Art, Northwest A & F University, Yangling, Shaanxi, China
| | - Zhaoxin Hu
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California, USA
| | - Xiangli Liu
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
| | - Ruilian Jing
- State Key Laboratory of Crop Gene Resources and Breeding / Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huixian Zhao
- College of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A & F University, Yangling, Shaanxi, China
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Wright TIC, Horsnell R, Love B, Burridge AJ, Gardner KA, Jackson R, Leigh FJ, Ligeza A, Heuer S, Bentley AR, Howell P. A new winter wheat genetic resource harbors untapped diversity from synthetic hexaploid wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:73. [PMID: 38451354 PMCID: PMC10920491 DOI: 10.1007/s00122-024-04577-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/06/2024] [Indexed: 03/08/2024]
Abstract
KEY MESSAGE The NIAB_WW_SHW_NAM population, a large nested association mapping panel, is a useful resource for mapping QTL from synthetic hexaploid wheat that can improve modern elite wheat cultivars. The allelic richness harbored in progenitors of hexaploid bread wheat (Triticum aestivum L.) is a useful resource for addressing the genetic diversity bottleneck in modern cultivars. Synthetic hexaploid wheat (SHW) is created through resynthesis of the hybridisation events between the tetraploid (Triticum turgidum subsp. durum Desf.) and diploid (Aegilops tauschii Coss.) bread wheat progenitors. We developed a large and diverse winter wheat nested association mapping (NAM) population (termed the NIAB_WW_SHW_NAM) consisting of 3241 genotypes derived from 54 nested back-cross 1 (BC1) populations, each formed via back-crossing a different primary SHW into the UK winter wheat cultivar 'Robigus'. The primary SHW lines were created using 15 T. durum donors and 47 Ae. tauschii accessions that spanned the lineages and geographical range of the species. Primary SHW parents were typically earlier flowering, taller and showed better resistance to yellow rust infection (Yr) than 'Robigus'. The NIAB_WW_SHW_NAM population was genotyped using a single nucleotide polymorphism (SNP) array and 27 quantitative trait loci (QTLs) were detected for flowering time, plant height and Yr resistance. Across multiple field trials, a QTL for Yr resistance was found on chromosome 4D that corresponded to the Yr28 resistance gene previously reported in other SHW lines. These results demonstrate the value of the NIAB_WW_SHW_NAM population for genetic mapping and provide the first evidence of Yr28 working in current UK environments and genetic backgrounds. These examples, coupled with the evidence of commercial wheat breeders selecting promising genotypes, highlight the potential value of the NIAB_WW_SHW_NAM to variety improvement.
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Affiliation(s)
- Tally I C Wright
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK.
| | - Richard Horsnell
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Bethany Love
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | | | - Keith A Gardner
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico
| | - Robert Jackson
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Fiona J Leigh
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Aleksander Ligeza
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
- Processors and Growers Research Organization (PGRO), The Research Station, Thornhaugh, Peterborough, PE8 6HJ, UK
| | - Sigrid Heuer
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Alison R Bentley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
- Research School of Biology, Australian National University, Canberra, ACT, 2600, Australia
| | - Philip Howell
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
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Ahmed MIY, Gorafi YSA, Kamal NM, Balla MY, Tahir ISA, Zheng L, Kawakami N, Tsujimoto H. Mining Aegilops tauschii genetic diversity in the background of bread wheat revealed a novel QTL for seed dormancy. FRONTIERS IN PLANT SCIENCE 2023; 14:1270925. [PMID: 38107013 PMCID: PMC10723804 DOI: 10.3389/fpls.2023.1270925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/14/2023] [Indexed: 12/19/2023]
Abstract
Due to the low genetic diversity in the current wheat germplasm, gene mining from wild relatives is essential to develop new wheat cultivars that are more resilient to the changing climate. Aegilops tauschii, the D-genome donor of bread wheat, is a great gene source for wheat breeding; however, identifying suitable genes from Ae. tauschii is challenging due to the different morphology and the wide intra-specific variation within the species. In this study, we developed a platform for the systematic evaluation of Ae. tauschii traits in the background of the hexaploid wheat cultivar 'Norin 61' and thus for the identification of QTLs and genes. To validate our platform, we analyzed the seed dormancy trait that confers resistance to preharvest sprouting. We used a multiple synthetic derivative (MSD) population containing a genetic diversity of 43 Ae. tauschii accessions representing the full range of the species. Our results showed that only nine accessions in the population provided seed dormancy, and KU-2039 from Afghanistan had the highest level of seed dormancy. Therefore, 166 backcross inbred lines (BILs) were developed by crossing the synthetic wheat derived from KU-2039 with 'Norin 61' as the recurrent parent. The QTL mapping revealed one novel QTL, Qsd.alrc.5D, associated with dormancy explaining 41.7% of the phenotypic variation and other five unstable QTLs, two of which have already been reported. The Qsd.alrc.5D, identified for the first time within the natural variation of wheat, would be a valuable contribution to breeding after appropriate validation. The proposed platform that used the MSD population derived from the diverse Ae. tauschii gene pool and recombinant inbred lines proved to be a valuable platform for mining new and important QTLs or alleles, such as the novel seed dormancy QTL identified here. Likewise, such a platform harboring genetic diversity from wheat wild relatives could be a useful source for mining agronomically important traits, especially in the era of climate change and the narrow genetic diversity within the current wheat germplasm.
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Affiliation(s)
| | - Yasir Serag Alnor Gorafi
- International Platform for Dryland Research and Education, Tottori University, Tottori, Japan
- Gezira Research Station, Agricultural Research Corporation (ARC), Wad-Medani, Sudan
| | - Nasrein Mohamed Kamal
- Gezira Research Station, Agricultural Research Corporation (ARC), Wad-Medani, Sudan
- Arid Land Research Center, Tottori University, Tottori, Japan
| | - Mohammed Yousif Balla
- Gezira Research Station, Agricultural Research Corporation (ARC), Wad-Medani, Sudan
- Arid Land Research Center, Tottori University, Tottori, Japan
| | - Izzat Sidahmed Ali Tahir
- Gezira Research Station, Agricultural Research Corporation (ARC), Wad-Medani, Sudan
- Arid Land Research Center, Tottori University, Tottori, Japan
| | - Lipeng Zheng
- Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, Japan
| | - Naoto Kawakami
- Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, Japan
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Adhikari L, Raupp J, Wu S, Koo DH, Friebe B, Poland J. Genomic characterization and gene bank curation of Aegilops: the wild relatives of wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1268370. [PMID: 37915516 PMCID: PMC10616851 DOI: 10.3389/fpls.2023.1268370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/25/2023] [Indexed: 11/03/2023]
Abstract
Genetic diversity found in crop wild relatives is critical to preserve and utilize for crop improvement to achieve sustainable food production amid climate change and increased demand. We genetically characterized a large collection of 1,041 Aegilops accessions distributed among 23 different species using more than 45K single nucleotide polymorphisms identified by genotyping-by-sequencing. The Wheat Genetics Resource Center (WGRC) Aegilops germplasm collection was curated through the identification of misclassified and redundant accessions. There were 49 misclassified and 28 sets of redundant accessions within the four diploid species. The curated germplasm sets now have improved utility for genetic studies and wheat improvement. We constructed a phylogenetic tree and principal component analysis cluster for all Aegilops species together, giving one of the most comprehensive views of Aegilops. The Sitopsis section and the U genome Aegilops clade were further scrutinized with in-depth population analysis. The genetic relatedness among the pair of Aegilops species provided strong evidence for the species evolution, speciation, and diversification. We inferred genome symbols for two species Ae. neglecta and Ae. columnaris based on the sequence read mapping and the presence of segregating loci on the pertinent genomes as well as genetic clustering. The high genetic diversity observed among Aegilops species indicated that the genus could play an even greater role in providing the critical need for untapped genetic diversity for future wheat breeding and improvement. To fully characterize these Aegilops species, there is an urgent need to generate reference assemblies for these wild wheats, especially for the polyploid Aegilops.
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Affiliation(s)
- Laxman Adhikari
- Plant Breeding and Genetics Lab, Center for Desert Agriculture, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - John Raupp
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Shuangye Wu
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Dal-Hoe Koo
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Bernd Friebe
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Jesse Poland
- Plant Breeding and Genetics Lab, Center for Desert Agriculture, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
- Plant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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Yadav IS, Singh N, Wu S, Raupp J, Wilson DL, Rawat N, Gill BS, Poland J, Tiwari VK. Exploring genetic diversity of wild and related tetraploid wheat species Triticum turgidum and Triticum timopheevii. J Adv Res 2023; 48:47-60. [PMID: 36084813 PMCID: PMC10248793 DOI: 10.1016/j.jare.2022.08.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/25/2022] [Accepted: 08/31/2022] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION The domestication bottleneck has reduced genetic diversity inwheat, necessitating the use of wild relatives in breeding programs. Wild tetraploid wheat are widely used in the breeding programs but with morphological characters, it is difficult to distinguish these, resulting in misclassification/mislabeling or duplication of accessions in the Gene bank. OBJECTIVES The study aims to exploreGenotyping by sequencing (GBS) to characterize wild and domesticated tetraploid wheat accessions to generate a core set of accessions to be used in the breeding program. METHODS TASSEL-GBS pipeline was used for SNP discovery, fastStructure was used to determine the population structure and PowerCore was used to generate a core sets. Nucleotide diversity matrices of Nie's and F-statistics (FST) index were used to determine the center of genetic diversity. RESULTS We found 65 % and 47 % duplicated accessions in Triticum timopheevii and T. turgidum respectively. Genome-wide nucleotide diversity and FST scan uncovered a lower intra and higher inter-species differentiation. Distinct FST regions were identified in genomic regions belonging to domestication genes: non-brittle rachis (Btr1) and vernalization (VRN-1).Our results suggest that Israel, Jordan, Syria, and Lebanonas the hub of genetic diversity of wild emmer;Turkey, and Georgia for T. durum; and Iraq, Azerbaijan, and Armenia for theT. timopheevii. Identified core set accessions preserved more than 93 % of the available genetic diversity. Genome wide association study (GWAS) indicated the potential chromosomal segment for resistance to leaf rust in T. timopheevii. CONCLUSION The present study explored the potential of GBS technology in data reduction while maintaining the significant genetic diversity of the species. Wild germplasm showed more differentiation than domesticated accessions, indicating the availability of sufficient diversity for crop improvement. With reduced complexity, the core set preserves the genetic diversity of the gene bank collections and will aid in a more robust characterization of wild germplasm.
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Affiliation(s)
- Inderjit S. Yadav
- Department of Plant Sciences and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
| | | | - Shuangye Wu
- Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS 66506, USA
| | - Jon Raupp
- Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS 66506, USA
| | - Duane L. Wilson
- Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS 66506, USA
| | - Nidhi Rawat
- Department of Plant Sciences and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
| | - Bikram S. Gill
- Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS 66506, USA
| | - Jesse Poland
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, 4700 KAUST, Thuwal 23955-6900, Saudi Arabia
| | - Vijay K. Tiwari
- Department of Plant Sciences and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
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Bokaei AS, Sofalian O, Sorkhilalehloo B, Asghari A, Pour-Aboughadareh A. Deciphering the level of genetic diversity in some aegilops species using CAAT box-derived polymorphism (CBDP) and start codon target polymorphism (SCoT) markers. Mol Biol Rep 2023:10.1007/s11033-023-08488-0. [PMID: 37219668 DOI: 10.1007/s11033-023-08488-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/26/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Maintaining genetic diversity is of the most essential principle for a long-term conservation of plant genetic resources and could play a crucial role in their management. The genus Aegilops is one important member of wheat germplasm, and there are evidences that novel genes of this genus' species can be studied/utilized as ideal sources for the wheat cultivar improvement. The objective of this study was to dissect the genetic diversity and population structure among a set of Iranian Aegilops using two gene-based molecular markers. METHODS AND RESULTS This study investigated the level of genetic diversity among 157 Aegilops accessions consisting of Ae. tauschii Coss. (DD genome), Ae. crassa Boiss. (DDMM genome), and Ae. cylindrica Host. (CCDD genome) belonging to NPGBI using two sets of CBDP and SCoT markers. The SCoT and CBDP primers yielded 171 and 174 fragments, out of which 145 (90.23%) and 167 (97.66%) fragments were polymorphic, respectively. The average of polymorphism information content (PIC)/ marker index (MI)/resolving power (Rp) for SCoT and CBDP markers were 0.32/3.59/16.03 and 0.29/3.01/16.26, respectively. Results of AMOVA revealed the genetic variability within species was greater than the variation observed among them (SCoT: 88% vs. 12%; CBDP: 72% vs. 28%; SCoT + CBDP: 80% vs. 20%). Based on the information obtained from both markers, the higher level of genetic diversity was found in Ae. tauschii as compared to other species. The grouping patterns obtained by Neighbor-joining algorithms, principal coordinate analysis (PCoA), and Bayesian-model-based structure were consistent with each other and resulted in grouping all studied accessions according to their genomic constitutions. CONCLUSION The results of this study revealed a high level of genetic diversity among Iranian Aegilops germplasm. Moreover, SCoT and CBDP marker systems were efficient in deciphering DNA polymorphism and classification of Aegilops germplasm.
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Affiliation(s)
- Ali Sajjad Bokaei
- Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Omid Sofalian
- Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Behzad Sorkhilalehloo
- Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran
| | - Ali Asghari
- Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Alireza Pour-Aboughadareh
- Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.
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A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations. Sci Rep 2022; 12:17583. [PMID: 36266371 PMCID: PMC9584886 DOI: 10.1038/s41598-022-19858-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 09/06/2022] [Indexed: 01/13/2023] Open
Abstract
The development of next-generation sequencing (NGS) enabled a shift from array-based genotyping to directly sequencing genomic libraries for high-throughput genotyping. Even though whole-genome sequencing was initially too costly for routine analysis in large populations such as breeding or genetic studies, continued advancements in genome sequencing and bioinformatics have provided the opportunity to capitalize on whole-genome information. As new sequencing platforms can routinely provide high-quality sequencing data for sufficient genome coverage to genotype various breeding populations, a limitation comes in the time and cost of library construction when multiplexing a large number of samples. Here we describe a high-throughput whole-genome skim-sequencing (skim-seq) approach that can be utilized for a broad range of genotyping and genomic characterization. Using optimized low-volume Illumina Nextera chemistry, we developed a skim-seq method and combined up to 960 samples in one multiplex library using dual index barcoding. With the dual-index barcoding, the number of samples for multiplexing can be adjusted depending on the amount of data required, and could be extended to 3,072 samples or more. Panels of doubled haploid wheat lines (Triticum aestivum, CDC Stanley x CDC Landmark), wheat-barley (T. aestivum x Hordeum vulgare) and wheat-wheatgrass (Triticum durum x Thinopyrum intermedium) introgression lines as well as known monosomic wheat stocks were genotyped using the skim-seq approach. Bioinformatics pipelines were developed for various applications where sequencing coverage ranged from 1 × down to 0.01 × per sample. Using reference genomes, we detected chromosome dosage, identified aneuploidy, and karyotyped introgression lines from the skim-seq data. Leveraging the recent advancements in genome sequencing, skim-seq provides an effective and low-cost tool for routine genotyping and genetic analysis, which can track and identify introgressions and genomic regions of interest in genetics research and applied breeding programs.
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Kroupin PY, Badaeva ED, Sokolova VM, Chikida NN, Belousova MK, Surzhikov SA, Nikitina EA, Kocheshkova AA, Ulyanov DS, Ermolaev AS, Khuat TML, Razumova OV, Yurkina AI, Karlov GI, Divashuk MG. Aegilops crassa Boiss. repeatome characterized using low-coverage NGS as a source of new FISH markers: Application in phylogenetic studies of the Triticeae. FRONTIERS IN PLANT SCIENCE 2022; 13:980764. [PMID: 36325551 PMCID: PMC9621091 DOI: 10.3389/fpls.2022.980764] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/29/2022] [Indexed: 06/13/2023]
Abstract
Aegilops crassa Boiss. is polyploid grass species that grows in the eastern part of the Fertile Crescent, Afghanistan, and Middle Asia. It consists of tetraploid (4x) and hexaploid (6x) cytotypes (2n = 4x = 28, D1D (Abdolmalaki et al., 2019) XcrXcr and 2n = 6x = 42, D1D (Abdolmalaki et al., 2019) XcrXcrD2D (Adams and Wendel, 2005), respectively) that are similar morphologically. Although many Aegilops species were used in wheat breeding, the genetic potential of Ae. crassa has not yet been exploited due to its uncertain origin and significant genome modifications. Tetraploid Ae. crassa is thought to be the oldest polyploid Aegilops species, the subgenomes of which still retain some features of its ancient diploid progenitors. The D1 and D2 subgenomes of Ae. crassa were contributed by Aegilops tauschii (2n = 2x = 14, DD), while the Xcr subgenome donor is still unknown. Owing to its ancient origin, Ae. crassa can serve as model for studying genome evolution. Despite this, Ae. crassa is poorly studied genetically and no genome sequences were available for this species. We performed low-coverage genome sequencing of 4x and 6x cytotypes of Ae. crassa, and four Ae. tauschii accessions belonging to different subspecies; diploid wheatgrass Thinopyrum bessarabicum (Jb genome), which is phylogenetically close to D (sub)genome species, was taken as an outgroup. Subsequent data analysis using the pipeline RepeatExplorer2 allowed us to characterize the repeatomes of these species and identify several satellite sequences. Some of these sequences are novel, while others are found to be homologous to already known satellite sequences of Triticeae species. The copy number of satellite repeats in genomes of different species and their subgenome (D1 or Xcr) affinity in Ae. crassa were assessed by means of comparative bioinformatic analysis combined with quantitative PCR (qPCR). Fluorescence in situ hybridization (FISH) was performed to map newly identified satellite repeats on chromosomes of common wheat, Triticum aestivum, 4x and 6x Ae. crassa, Ae. tauschii, and Th. bessarabicum. The new FISH markers can be used in phylogenetic analyses of the Triticeae for chromosome identification and the assessment of their subgenome affinities and for evaluation of genome/chromosome constitution of wide hybrids or polyploid species.
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Affiliation(s)
- Pavel Yu. Kroupin
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Ekaterina D. Badaeva
- N.I.Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Victoria M. Sokolova
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Nadezhda N. Chikida
- All-Russian Institute of Plant Genetic Resources (VIR), Department of Wheat Genetic Resources, St. Petersburg, Russia
| | - Maria Kh. Belousova
- All-Russian Institute of Plant Genetic Resources (VIR), Department of Wheat Genetic Resources, St. Petersburg, Russia
| | - Sergei A. Surzhikov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Ekaterina A. Nikitina
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Alina A. Kocheshkova
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Daniil S. Ulyanov
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Aleksey S. Ermolaev
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Thi Mai Luong Khuat
- Agricultural Genetics Institute, Department of Molecular Biology, Hanoi, Vietnam
| | - Olga V. Razumova
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Anna I. Yurkina
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Gennady I. Karlov
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
| | - Mikhail G. Divashuk
- All-Russia Research Institute of Agricultural Biotechnology, Kurchatov Genomics Centre – ARRIAB, Moscow, Russia
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Dispersed emergence and protracted domestication of polyploid wheat uncovered by mosaic ancestral haploblock inference. Nat Commun 2022; 13:3891. [PMID: 35794156 PMCID: PMC9259585 DOI: 10.1038/s41467-022-31581-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 06/23/2022] [Indexed: 12/15/2022] Open
Abstract
Major crops are all survivors of domestication bottlenecks. Studies have focused on the genetic loci related to the domestication syndrome, while the contribution of ancient haplotypes remains largely unknown. Here, an ancestral genomic haploblock dissection method is developed and applied to a resequencing dataset of 386 tetraploid/hexaploid wheat accessions, generating a pan-ancestry haploblock map. Together with cytoplastic evidences, we reveal that domesticated polyploid wheat emerged from the admixture of six founder wild emmer lineages, which contributed the foundation of ancestral mosaics. The key domestication-related loci, originated over a wide geographical range, were gradually pyramided through a protracted process. Diverse stable-inheritance ancestral haplotype groups of the chromosome central zone are identified, revealing the expanding routes of wheat and the trends of modern wheat breeding. Finally, an evolution model of polyploid wheat is proposed, highlighting the key role of wild-to-crop and interploidy introgression, that increased genomic diversity following bottlenecks introduced by domestication and polyploidization. The contribution of ancient haplotypes to domestication is largely unknown. Here, the authors develop an ancestral genomic haploblock dissection method to generate a mosaic pan-ancestry genomic map and reveal that the domesticated polyploidy wheat emerged from the admixture of six founder wild emmer linages.
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10
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Minaei S, Mohammadi SA, Sabouri A, Dadras AR. High genetic diversity in Aegilops tauschii Coss. accessions from North Iran as revealed by IRAP and REMAP markers. J Genet Eng Biotechnol 2022; 20:86. [PMID: 35696009 PMCID: PMC9192835 DOI: 10.1186/s43141-022-00363-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 05/02/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Aegilops tauschii Coss. as a donor of wheat D genome has an important role in wheat breeding programs. Genetic and phylogeographic diversity of 79 Ae. tauschii accessions collected from north and northwest of Iran were analyzed based on retroelement insertional polymorphisms using inter-retrotransposon amplified polymorphism (IRAP) and retrotransposon-microsatellite amplified polymorphism (REMAP) markers. RESULTS In total, 306 and 151 polymorphic bands were amplified in IRAP and REMAP analyses, respectively. As a result, a high level of polymorphism was observed among the studied accessions as revealed by an average of 25.5 bands per primer/primer combination and mean PIC value of 0.47 in IRAP and an average of 25.16 bands per primer combination and mean PIC value of 0.47 in REMAP. Genetic relationships of the accessions were analyzed using distance- and model-based cluster analyses. CONCLUSION The result showed that genetic distance did not seem to be related to geographic distribution, and the accessions could be divided into three groups, which was further supported by principal coordinate analysis. These results on genetic diversity and population structure of Ae. tauschii in Iran should provide important knowledge on genetic resources and their applications in wheat breeding programs.
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Affiliation(s)
- Sona Minaei
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - Seyyed Abolghasem Mohammadi
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. .,Center of Excellence in Cereal Molecular Breeding, University of Tabriz, Tabriz, Iran. .,Department of Life Sciences, Center for Cell Pathology, Khazar University, Baku, AZ1096, Azerbaijan.
| | - Atefeh Sabouri
- Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
| | - Ahmad Reza Dadras
- Department of Crop and Horticultural Research, Zanjan Agricultural and Natural Resource Research and Education, AREEO, Zanjan, Iran
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11
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Lin G, Chen H, Tian B, Sehgal SK, Singh L, Xie J, Rawat N, Juliana P, Singh N, Shrestha S, Wilson DL, Shult H, Lee H, Schoen AW, Tiwari VK, Singh RP, Guttieri MJ, Trick HN, Poland J, Bowden RL, Bai G, Gill B, Liu S. Cloning of the broadly effective wheat leaf rust resistance gene Lr42 transferred from Aegilops tauschii. Nat Commun 2022; 13:3044. [PMID: 35650212 PMCID: PMC9160033 DOI: 10.1038/s41467-022-30784-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/18/2022] [Indexed: 11/09/2022] Open
Abstract
The wheat wild relative Aegilops tauschii was previously used to transfer the Lr42 leaf rust resistance gene into bread wheat. Lr42 confers resistance at both seedling and adult stages, and it is broadly effective against all leaf rust races tested to date. Lr42 has been used extensively in the CIMMYT international wheat breeding program with resulting cultivars deployed in several countries. Here, using a bulked segregant RNA-Seq (BSR-Seq) mapping strategy, we identify three candidate genes for Lr42. Overexpression of a nucleotide-binding site leucine-rich repeat (NLR) gene AET1Gv20040300 induces strong resistance to leaf rust in wheat and a mutation of the gene disrupted the resistance. The Lr42 resistance allele is rare in Ae. tauschii and likely arose from ectopic recombination. Cloning of Lr42 provides diagnostic markers and over 1000 CIMMYT wheat lines carrying Lr42 have been developed documenting its widespread use and impact in crop improvement.
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Affiliation(s)
- Guifang Lin
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Hui Chen
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Bin Tian
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.,Syngenta Crop Protection, Research Triangle Park, Durham, NC, 27709, USA
| | - Sunish K Sehgal
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, 57006, USA
| | - Lovepreet Singh
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA
| | - Jingzhong Xie
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.,State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, 100101, Beijing, China
| | - Nidhi Rawat
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA
| | - Philomin Juliana
- International Maize and Wheat Improvement Center (CIMMYT), 56237, Texcoco, Mexico.,Borlaug Institute for South Asia, Ludhiana, India
| | - Narinder Singh
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.,Bayer R&D Services LLC, Kansas City, MO, 64153, USA
| | - Sandesh Shrestha
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Duane L Wilson
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Hannah Shult
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Hyeonju Lee
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Adam William Schoen
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA
| | - Vijay K Tiwari
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), 56237, Texcoco, Mexico
| | - Mary J Guttieri
- Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, 66506-5502, USA
| | - Harold N Trick
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA
| | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.,Center for Desert Agriculture, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Robert L Bowden
- Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, 66506-5502, USA
| | - Guihua Bai
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506-5502, USA.,Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, 66506-5502, USA
| | - Bikram Gill
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.
| | - Sanzhen Liu
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506-5502, USA.
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12
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Adhikari L, Raupp J, Wu S, Wilson D, Evers B, Koo DH, Singh N, Friebe B, Poland J. Genetic characterization and curation of diploid A-genome wheat species. PLANT PHYSIOLOGY 2022; 188:2101-2114. [PMID: 35134208 PMCID: PMC8968256 DOI: 10.1093/plphys/kiac006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
A-genome diploid wheats represent the earliest domesticated and cultivated wheat species in the Fertile Crescent and include the donor of the wheat A sub-genome. The A-genome species encompass the cultivated einkorn (Triticum monococcum L. subsp. monococcum), wild einkorn (T. monococcum L. subsp. aegilopoides (Link) Thell.), and Triticum urartu. We evaluated the collection of 930 accessions in the Wheat Genetics Resource Center (WGRC) using genotyping by sequencing and identified 13,860 curated single-nucleotide polymorphisms. Genomic analysis detected misclassified and genetically identical (>99%) accessions, with most of the identical accessions originating from the same or nearby locations. About 56% (n = 520) of the WGRC A-genome species collections were genetically identical, supporting the need for genomic characterization for effective curation and maintenance of these collections. Population structure analysis confirmed the morphology-based classifications of the accessions and reflected the species geographic distributions. We also showed that T. urartu is the closest A-genome diploid to the A-subgenome in common wheat (Triticum aestivum L.) through phylogenetic analysis. Population analysis within the wild einkorn group showed three genetically distinct clusters, which corresponded with wild einkorn races α, β, and γ described previously. The T. monococcum genome-wide FST scan identified candidate genomic regions harboring a domestication selection signature at the Non-brittle rachis 1 (Btr1) locus on the short arm of chromosome 3Am at ∼70 Mb. We established an A-genome core set (79 accessions) based on allelic diversity, geographical distribution, and available phenotypic data. The individual species core set maintained at least 79% of allelic variants in the A-genome collection and constituted a valuable genetic resource to improve wheat and domesticated einkorn in breeding programs.
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Affiliation(s)
- Laxman Adhikari
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
- Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - John Raupp
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
| | - Shuangye Wu
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
| | - Duane Wilson
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
| | - Byron Evers
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
| | - Dal-Hoe Koo
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
| | | | - Bernd Friebe
- Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA
- Wheat Genetic Resource Center (WGRC), Kansas State University, Manhattan, Kansas 66502, USA
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13
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Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement. Nat Biotechnol 2022; 40:422-431. [PMID: 34725503 PMCID: PMC8926922 DOI: 10.1038/s41587-021-01058-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 08/16/2021] [Indexed: 01/02/2023]
Abstract
Aegilops tauschii, the diploid wild progenitor of the D subgenome of bread wheat, is a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Here we sequenced 242 Ae. tauschii accessions and compared them to the wheat D subgenome to characterize genomic diversity. We found that a rare lineage of Ae. tauschii geographically restricted to present-day Georgia contributed to the wheat D subgenome in the independent hybridizations that gave rise to modern bread wheat. Through k-mer-based association mapping, we identified discrete genomic regions with candidate genes for disease and pest resistance and demonstrated their functional transfer into wheat by transgenesis and wide crossing, including the generation of a library of hexaploids incorporating diverse Ae. tauschii genomes. Exploiting the genomic diversity of the Ae. tauschii ancestral diploid genome permits rapid trait discovery and functional genetic validation in a hexaploid background amenable to breeding.
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14
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Lin Y, Wang Q, Chen H, Yan N, Wu F, Wang Z, Li C, Liu Y. Genome-wide association mapping of Fusarium crown rot resistance in Aegilops tauschii. FRONTIERS IN PLANT SCIENCE 2022; 13:998622. [PMID: 36247594 PMCID: PMC9562832 DOI: 10.3389/fpls.2022.998622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/29/2022] [Indexed: 05/13/2023]
Abstract
Fusarium crown rot (FCR), caused by various Fusarium species, is a primary fungal disease in most wheat-growing regions worldwide. A. tauschii, the diploid wild progenitor of the D-genome of common wheat, is a reservoir of genetic diversity for improving bread wheat biotic and abiotic resistance/tolerance. A worldwide collection of 286 A. tauschii accessions was used to evaluate FCR resistance. Population structure analysis revealed that 115 belonged to the A. tauschii ssp. strangulata subspecies, and 171 belonged to the A. tauschii ssp. tauschii subspecies. Five accessions with disease index values lower than 20 showed moderate resistance to FCR. These five originated from Afghanistan, China, Iran, Uzbekistan, and Turkey, all belonging to the tauschii subspecies. Genome-wide association mapping using 6,739 single nucleotide polymorphisms (SNPs) revealed that two SNPs on chromosome 2D and four SNPs on chromosome 7D were significantly associated with FCR resistance. Almost all FCR resistance alleles were presented in accessions from the tauschii subspecies, and only 4, 11, and 19 resistance alleles were presented in accessions from the strangulata subspecies. Combining phenotypic correlation analysis and genome-wide association mapping confirmed that FCR resistance loci were independent of flowering time, heading date, and plant height in this association panel. Six genes encoding disease resistance-related proteins were selected as candidates for further validation. The identified resistant A. tauschii accessions will provide robust resistance gene sources for breeding FCR-resistant cultivars. The associated loci/genes will accelerate and improve FCR in breeding programs by deploying marker-assisted selection.
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Affiliation(s)
- Yu Lin
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qing Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Hao Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Ning Yan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Fangkun Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhiqiang Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Caixia Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yaxi Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
- *Correspondence: Yaxi Liu, ;
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15
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Zhao X, Fu X, Yin C, Lu F. Wheat speciation and adaptation: perspectives from reticulate evolution. ABIOTECH 2021; 2:386-402. [PMID: 36311810 PMCID: PMC9590565 DOI: 10.1007/s42994-021-00047-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/27/2021] [Indexed: 12/16/2022]
Abstract
Reticulate evolution through the interchanging of genetic components across organisms can impact significantly on the fitness and adaptation of species. Bread wheat (Triticum aestivum subsp. aestivum) is one of the most important crops in the world. Allopolyploid speciation, frequent hybridization, extensive introgression, and occasional horizontal gene transfer (HGT) have been shaping a typical paradigm of reticulate evolution in bread wheat and its wild relatives, which is likely to have a substantial influence on phenotypic traits and environmental adaptability of bread wheat. In this review, we outlined the evolutionary history of bread wheat and its wild relatives with a highlight on the interspecific hybridization events, demonstrating the reticulate relationship between species/subspecies in the genera Triticum and Aegilops. Furthermore, we discussed the genetic mechanisms and evolutionary significance underlying the introgression of bread wheat and its wild relatives. An in-depth understanding of the evolutionary process of Triticum species should be beneficial to future genetic study and breeding of bread wheat.
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Affiliation(s)
- Xuebo Zhao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiangdong Fu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Fei Lu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
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16
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New insights into the dispersion history and adaptive evolution of taxon Aegilops tauschii in China. J Genet Genomics 2021; 49:185-194. [PMID: 34838726 DOI: 10.1016/j.jgg.2021.11.004] [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: 08/29/2021] [Revised: 11/06/2021] [Accepted: 11/10/2021] [Indexed: 11/21/2022]
Abstract
Aegilops tauschii, the wild progenitor of wheat D-genome and a valuable germplasm for wheat improvement, has a wide natural distribution from eastern Turkey to China. However, the phylogenetic relationship and dispersion history of Ae. tauschii in China has not been scientifically clarified. In this study, we genotyped 208 accessions (with 104 in China) using ddRAD sequencing and 55K SNP array, and classified the population into six sublineages. Three possible spreading routes or events were identified, resulting in specific distribution patterns, with four sublineages found in Xinjiang, one in Qinghai, two in Shaanxi and one in Henan. We also established the correlation of SNP-based, karyotype-based and spike-morphology-based techniques to demonstrate the internal classification of Ae. tauschii, and developed consensus dataset with 1245 putative accessions by merging data previously published. Our analysis suggested that eight inter-lineage accessions could be assigned to the putative Lineage 3 and these accessions would help to conserve the genetic diversity of the species. By developing the consensus phylogenetic relationships of Ae. tauschii, our work validated the hypothesis on the dispersal history of Ae. tauschii in China, and contributed to the efficient and comprehensive germplasm-mining of the species.
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17
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Delorean E, Gao L, Lopez JFC, Wulff BBH, Ibba MI, Poland J. High molecular weight glutenin gene diversity in Aegilops tauschii demonstrates unique origin of superior wheat quality. Commun Biol 2021; 4:1242. [PMID: 34725451 PMCID: PMC8560932 DOI: 10.1038/s42003-021-02563-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 08/17/2021] [Indexed: 11/29/2022] Open
Abstract
Central to the diversity of wheat products was the origin of hexaploid bread wheat, which added the D-genome of Aegilops tauschii to tetraploid wheat giving rise to superior dough properties in leavened breads. The polyploidization, however, imposed a genetic bottleneck, with only limited diversity introduced in the wheat D-subgenome. To understand genetic variants for quality, we sequenced 273 accessions spanning the known diversity of Ae. tauschii. We discovered 45 haplotypes in Glu-D1, a major determinant of quality, relative to the two predominant haplotypes in wheat. The wheat allele 2 + 12 was found in Ae. tauschii Lineage 2, the donor of the wheat D-subgenome. Conversely, the superior quality wheat allele 5 + 10 allele originated in Lineage 3, a recently characterized lineage of Ae. tauschii, showing a unique origin of this important allele. These two wheat alleles were also quite similar relative to the total observed molecular diversity in Ae. tauschii at Glu-D1. Ae. tauschii is thus a reservoir for unique Glu-D1 alleles and provides the genomic resource to begin utilizing new alleles for end-use quality improvement in wheat breeding programs.
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Affiliation(s)
- Emily Delorean
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Liangliang Gao
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | | | - Brande B H Wulff
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Maria Itria Ibba
- Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Mexico, DF, Mexico
| | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
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Sharma S, Schulthess AW, Bassi FM, Badaeva ED, Neumann K, Graner A, Özkan H, Werner P, Knüpffer H, Kilian B. Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm. BIOLOGY 2021; 10:982. [PMID: 34681081 PMCID: PMC8533267 DOI: 10.3390/biology10100982] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 09/24/2021] [Accepted: 09/24/2021] [Indexed: 12/02/2022]
Abstract
Wheat (Triticum sp.) is one of the world's most important crops, and constantly increasing its productivity is crucial to the livelihoods of millions of people. However, more than a century of intensive breeding and selection processes have eroded genetic diversity in the elite genepool, making new genetic gains difficult. Therefore, the need to introduce novel genetic diversity into modern wheat has become increasingly important. This review provides an overview of the plant genetic resources (PGR) available for wheat. We describe the most important taxonomic and phylogenetic relationships of these PGR to guide their use in wheat breeding. In addition, we present the status of the use of some of these resources in wheat breeding programs. We propose several introgression schemes that allow the transfer of qualitative and quantitative alleles from PGR into elite germplasm. With this in mind, we propose the use of a stage-gate approach to align the pre-breeding with main breeding programs to meet the needs of breeders, farmers, and end-users. Overall, this review provides a clear starting point to guide the introgression of useful alleles over the next decade.
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Affiliation(s)
- Shivali Sharma
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
| | - Albert W. Schulthess
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Filippo M. Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat 10112, Morocco;
| | - Ekaterina D. Badaeva
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia;
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia
| | - Kerstin Neumann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Andreas Graner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Hakan Özkan
- Department of Field Crops, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey;
| | - Peter Werner
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
| | - Helmut Knüpffer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Benjamin Kilian
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
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Zhou Y, Bai S, Li H, Sun G, Zhang D, Ma F, Zhao X, Nie F, Li J, Chen L, Lv L, Zhu L, Fan R, Ge Y, Shaheen A, Guo G, Zhang Z, Ma J, Liang H, Qiu X, Hu J, Sun T, Hou J, Xu H, Xue S, Jiang W, Huang J, Li S, Zou C, Song CP. Introgressing the Aegilops tauschii genome into wheat as a basis for cereal improvement. NATURE PLANTS 2021; 7:774-786. [PMID: 34045708 DOI: 10.1038/s41477-021-00934-w] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/30/2021] [Indexed: 05/04/2023]
Abstract
Increasing crop production is necessary to feed the world's expanding population, and crop breeders often utilize genetic variations to improve crop yield and quality. However, the narrow diversity of the wheat D genome seriously restricts its selective breeding. A practical solution is to exploit the genomic variations of Aegilops tauschii via introgression. Here, we established a rapid introgression platform for transferring the overall genetic variations of A. tauschii to elite wheats, thereby enriching the wheat germplasm pool. To accelerate the process, we assembled four new reference genomes, resequenced 278 accessions of A. tauschii and constructed the variation landscape of this wheat progenitor species. Genome comparisons highlighted diverse functional genes or novel haplotypes with potential applications in wheat improvement. We constructed the core germplasm of A. tauschii, including 85 accessions covering more than 99% of the species' overall genetic variations. This was crossed with elite wheat cultivars to generate an A. tauschii-wheat synthetic octoploid wheat (A-WSOW) pool. Laboratory and field analysis with two examples of the introgression lines confirmed its great potential for wheat breeding. Our high-quality reference genomes, genomic variation landscape of A. tauschii and the A-WSOW pool provide valuable resources to facilitate gene discovery and breeding in wheat.
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Affiliation(s)
- Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shenglong Bai
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guiling Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Dale Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Feifei Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xinpeng Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Fang Nie
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Liyang Chen
- Novogene Bioinformatics Institute, Beijing, China
| | - Linlin Lv
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Lele Zhu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ruixiao Fan
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Yifan Ge
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Aaqib Shaheen
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guanghui Guo
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Zhen Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jianchao Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Huihui Liang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xiaolong Qiu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jiamin Hu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ting Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyi Hou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hongxing Xu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shulin Xue
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Wenkai Jiang
- Novogene Bioinformatics Institute, Beijing, China
| | - Jinling Huang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
- Department of Biology, East Carolina University, Greenville, NC, USA
| | - Suoping Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Changsong Zou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
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20
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Schaart JG, Salentijn EMJ, Goryunova SV, Chidzanga C, Esselink DG, Gosman N, Bentley AR, Gilissen LJWJ, Smulders MJM. Exploring the alpha-gliadin locus: the 33-mer peptide with six overlapping coeliac disease epitopes in Triticum aestivum is derived from a subgroup of Aegilops tauschii. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 106:86-94. [PMID: 33369792 PMCID: PMC8248119 DOI: 10.1111/tpj.15147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/13/2020] [Accepted: 12/17/2020] [Indexed: 05/28/2023]
Abstract
Most alpha-gliadin genes of the Gli-D2 locus on the D genome of hexaploid bread wheat (Triticum aestivum) encode for proteins with epitopes that can trigger coeliac disease (CD), and several contain a 33-mer peptide with six partly overlapping copies of three epitopes, which is regarded as a remarkably potent T-cell stimulator. To increase genetic diversity in the D genome, synthetic hexaploid wheat lines are being made by hybridising accessions of Triticum turgidum (AB genome) and Aegilops tauschii (the progenitor of the D genome). The diversity of alpha-gliadins in A. tauschii has not been studied extensively. We analysed the alpha-gliadin transcriptome of 51 A. tauschii accessions representative of the diversity in A. tauschii. We extracted RNA from developing seeds and performed 454 amplicon sequencing of the first part of the alpha-gliadin genes. The expression profile of allelic variants of the alpha-gliadins was different between accessions, and also between accessions of the Western and Eastern clades of A. tauschii. Generally, both clades expressed many allelic variants not found in bread wheat. In contrast to earlier studies, we detected the 33-mer peptide in some A. tauschii accessions, indicating that it was introduced along with the D genome into bread wheat. In these accessions, transcripts with the 33-mer peptide were present at lower frequencies than in bread wheat varieties. In most A. tauschii accessions, however, the alpha-gliadins do not contain the epitope, and this may be exploited, through synthetic hexaploid wheats, to breed bread wheat varieties with fewer or no coeliac disease epitopes.
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Affiliation(s)
- Jan G. Schaart
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
| | - Elma M. J. Salentijn
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
| | - Svetlana V. Goryunova
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
- Present address:
FSBSI Lorch Potato Research InstituteKraskovo140051Russia
- Present address:
Institute of General GeneticsRussian Academy of ScienceMoscow119333Russia
| | - Charity Chidzanga
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
- Present address:
University of AdelaideSchool of Agriculture, Food and WineWaite CampusUrrbraeSouth Australia5064Australia
| | - Danny G. Esselink
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
| | - Nick Gosman
- The John Bingham LaboratoryNIAB93 Lawrence Weaver RoadCambridgeCB3 0LEUK
- Present address:
Gosman AssociatesAg‐Biotech Consultingthe StreetBressingham, DissIP22 2BLUK
| | - Alison R. Bentley
- The John Bingham LaboratoryNIAB93 Lawrence Weaver RoadCambridgeCB3 0LEUK
- Present address:
International Maize and Wheat Improvement Center (CIMMYT)TexcocoMexico
| | - Luud J. W. J. Gilissen
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
- BioscienceWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
- Allergy Consortium WageningenDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
| | - Marinus J. M. Smulders
- Plant BreedingWageningen University and ResearchDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
- Allergy Consortium WageningenDroevendaalsesteeg 1NL‐6708 PB Wageningenthe Netherlands
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21
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Nyine M, Adhikari E, Clinesmith M, Aiken R, Betzen B, Wang W, Davidson D, Yu Z, Guo Y, He F, Akhunova A, Jordan KW, Fritz AK, Akhunov E. The Haplotype-Based Analysis of Aegilops tauschii Introgression Into Hard Red Winter Wheat and Its Impact on Productivity Traits. FRONTIERS IN PLANT SCIENCE 2021; 12:716955. [PMID: 34484280 PMCID: PMC8416154 DOI: 10.3389/fpls.2021.716955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/20/2021] [Indexed: 05/13/2023]
Abstract
The introgression from wild relatives have a great potential to broaden the availability of beneficial allelic diversity for crop improvement in breeding programs. Here, we assessed the impact of the introgression from 21 diverse accessions of Aegilops tauschii, the diploid ancestor of the wheat D genome, into 6 hard red winter wheat cultivars on yield and yield component traits. We used 5.2 million imputed D genome SNPs identified by the whole-genome sequencing of parental lines and the sequence-based genotyping of introgression population, including 351 BC1F3:5 lines. Phenotyping data collected from the irrigated and non-irrigated field trials revealed that up to 23% of the introgression lines (ILs) produce more grain than the parents and check cultivars. Based on 16 yield stability statistics, the yield of 12 ILs (3.4%) was stable across treatments, years, and locations; 5 of these lines were also high yielding lines, producing 9.8% more grain than the average yield of check cultivars. The most significant SNP- and haplotype-trait associations were identified on chromosome arms 2DS and 6DL for the spikelet number per spike (SNS), on chromosome arms 2DS, 3DS, 5DS, and 7DS for grain length (GL) and on chromosome arms 1DL, 2DS, 6DL, and 7DS for grain width (GW). The introgression of haplotypes from A. tauschii parents was associated with an increase in SNS, which was positively correlated with a heading date (HD), whereas the haplotypes from hexaploid wheat parents were associated with an increase in GW. We show that the haplotypes on 2DS associated with an increase in the spikelet number and HD are linked with multiple introgressed alleles of Ppd-D1 identified by the whole-genome sequencing of A. tauschii parents. Meanwhile, some introgressed haplotypes exhibited significant pleiotropic effects with the direction of effects on the yield component traits being largely consistent with the previously reported trade-offs, there were haplotype combinations associated with the positive trends in yield. The characterized repertoire of the introgressed haplotypes derived from A. tauschii accessions with the combined positive effects on yield and yield component traits in elite germplasm provides a valuable source of alleles for improving the productivity of winter wheat by optimizing the contribution of component traits to yield.
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Affiliation(s)
- Moses Nyine
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Elina Adhikari
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Marshall Clinesmith
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Robert Aiken
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Bliss Betzen
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Wei Wang
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Dwight Davidson
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Zitong Yu
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Yuanwen Guo
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Fei He
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Alina Akhunova
- Integrated Genomics Facility, Kansas State University, Manhattan, KS, United States
| | - Katherine W. Jordan
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
- United States Department of Agriculture, Agricultural Research Service Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Allan K. Fritz
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Eduard Akhunov
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
- *Correspondence: Eduard Akhunov
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22
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Bazhenov MS, Chernook AG, Goncharov NP, Chikida NN, Belousova MK, Karlov GI, Divashuk MG. The Allelic Diversity of the Gibberellin Signaling Pathway Genes in Aegilops tauschii Coss. PLANTS 2020; 9:plants9121696. [PMID: 33276632 PMCID: PMC7761575 DOI: 10.3390/plants9121696] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 11/27/2020] [Accepted: 11/30/2020] [Indexed: 11/16/2022]
Abstract
Gibberellin-insensitive reduced height genes are widely spread in modern wheat varieties, making them resistant to lodging under conditions of intensive farming. However, the limited diversity of these genes present in wheat germplasm can limit the adaptability of newly created cultivars to the changing climate. The diversity of the gibberellin signaling pathway genes involved in plant height control- Reduced height 1 (Rht-D1), Gibberellin-insensitive dwarf 1 (Gid1‑D) and Gibberellin-insensitive dwarf 2 (Gid2-D)-was studied in the diploid wild goatgrass Aegilops tauschii Coss., one of the ancestral species of the bread wheat (Triticum aestivum L.) and the donor of its D subgenome, using high-throughput sequencing. The examination of 24 Ae. tauschii accessions of different geographical origins revealed a large number of new alleles (haplotypes) not found in bread wheat varieties. Some of the detected polymorphisms lead to changes in the amino acid sequence of proteins. Four isoforms (amino acid sequence variants) were found for the RHT-D1 protein, and two isoforms-for the GID1 and GID2 proteins, each. An analysis of the co-occurrence frequencies of various isoforms of the three proteins showed that their combinations were not random in Ae. tauschii, which may indicate the functional significance of their differences. New alleles of the Rht-D1, Gid1-D, and Gid2-D genes are promising for introgression into bread wheat and studying their effect on plant height and adaptability.
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Affiliation(s)
- Mikhail S. Bazhenov
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya Street, 42, 127550 Moscow, Russia; (A.G.C.); (G.I.K.); (M.G.D.)
- Correspondence:
| | - Anastasiya G. Chernook
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya Street, 42, 127550 Moscow, Russia; (A.G.C.); (G.I.K.); (M.G.D.)
| | - Nikolay P. Goncharov
- Wheat Genetics Laboratory, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Akademika Lavrentieva Avenue, 10, 630090 Novosibirsk, Russia;
| | - Nadezhda N. Chikida
- Federal Research Center N. I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR), 190000 Saint Petersburg, Russia;
| | - Mariya Kh. Belousova
- Dagestan Experimental Station—The Branch of the Federal Research Center N. I. Vavilov All-Russian Institute of Plant Genetic Resources, Vavilovo Village, Derbent District, 368600 Dagestan, Russia;
| | - Gennady I. Karlov
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya Street, 42, 127550 Moscow, Russia; (A.G.C.); (G.I.K.); (M.G.D.)
| | - Mikhail G. Divashuk
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya Street, 42, 127550 Moscow, Russia; (A.G.C.); (G.I.K.); (M.G.D.)
- Kurchatov Genomics Center–ARRIAB, All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya Street, 42, 127550 Moscow, Russia
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Triticum population sequencing provides insights into wheat adaptation. Nat Genet 2020; 52:1412-1422. [PMID: 33106631 DOI: 10.1038/s41588-020-00722-w] [Citation(s) in RCA: 129] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 09/22/2020] [Indexed: 01/01/2023]
Abstract
Bread wheat expanded its habitat from a core area of the Fertile Crescent to global environments within ~10,000 years. The genetic mechanisms of this remarkable evolutionary success are not well understood. By whole-genome sequencing of populations from 25 subspecies within the genera Triticum and Aegilops, we identified composite introgression from wild populations contributing to a substantial portion (4-32%) of the bread wheat genome, which increased the genetic diversity of bread wheat and allowed its divergent adaptation. Meanwhile, convergent adaptation to human selection showed 2- to 16-fold enrichment relative to random expectation-a certain set of genes were repeatedly selected in Triticum species despite their drastic differences in ploidy levels and growing zones, indicating the important role of evolutionary constraints in shaping the adaptive landscape of bread wheat. These results showed the genetic necessities of wheat as a global crop and provided new perspectives on transferring adaptive success across species for crop improvement.
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24
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Genomic Patterns of Introgression in Interspecific Populations Created by Crossing Wheat with Its Wild Relative. G3-GENES GENOMES GENETICS 2020; 10:3651-3661. [PMID: 32737066 PMCID: PMC7534432 DOI: 10.1534/g3.120.401479] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Introgression from wild relatives is a valuable source of novel allelic diversity for breeding. We investigated the genomic patterns of introgression from Aegilops tauschii, the diploid ancestor of the wheat D genome, into winter wheat (Triticum aestivum) cultivars. The population of 351 BC1F3:5 lines was selected based on phenology from crosses between six hexaploid wheat lines and 21 wheat-Ae. tauschii octoploids. SNP markers developed for this population and a diverse panel of 116 Ae. tauschii accessions by complexity-reduced genome sequencing were used to detect introgression based on the identity-by-descent analysis. Overall, introgression frequency positively correlated with recombination rate, with a high incidence of introgression at the ends of chromosomes and low in the pericentromeric regions, and was negatively related to sequence divergence between the parental genomes. Reduced introgression in the pericentromeric low-recombining regions spans nearly 2/3 of each chromosome arm, suggestive of the polygenic nature of introgression barriers that could be associated with multilocus negative epistasis between the alleles of wild and cultivated wheat. On the contrary, negative selection against the wild allele of Tg, controlling free-threshing trait and located in the high-recombining chromosomal region, led to reduced introgression only within ∼10 Mbp region around Tg. These results are consistent with the effect of selection on linked variation described by the Hill-Robertson effect, and offer insights into the introgression population development for crop improvement to maximize retention of introgressed diversity across entire genome.
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Wang W, Wang Z, Li X, Ni Z, Hu Z, Xin M, Peng H, Yao Y, Sun Q, Guo W. SnpHub: an easy-to-set-up web server framework for exploring large-scale genomic variation data in the post-genomic era with applications in wheat. Gigascience 2020; 9:giaa060. [PMID: 32501478 PMCID: PMC7274028 DOI: 10.1093/gigascience/giaa060] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 04/04/2020] [Accepted: 05/11/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The cost of high-throughput sequencing is rapidly decreasing, allowing researchers to investigate genomic variations across hundreds or even thousands of samples in the post-genomic era. The management and exploration of these large-scale genomic variation data require programming skills. The public genotype querying databases of many species are usually centralized and implemented independently, making them difficult to update with new data over time. Currently, there is a lack of a widely used framework for setting up user-friendly web servers to explore new genomic variation data in diverse species. RESULTS Here, we present SnpHub, a Shiny/R-based server framework for retrieving, analysing, and visualizing large-scale genomic variation data that can be easily set up on any Linux server. After a pre-building process based on the provided VCF files and genome annotation files, the local server allows users to interactively access single-nucleotide polymorphisms and small insertions/deletions with annotation information by locus or gene and to define sample sets through a web page. Users can freely analyse and visualize genomic variations in heatmaps, phylogenetic trees, haplotype networks, or geographical maps. Sample-specific sequences can be accessed as replaced by detected sequence variations. CONCLUSIONS SnpHub can be applied to any species, and we build up a SnpHub portal website for wheat and its progenitors based on published data in recent studies. SnpHub and its tutorial are available at http://guoweilong.github.io/SnpHub/. The wheat-SnpHub-portal website can be accessed at http://wheat.cau.edu.cn/Wheat_SnpHub_Portal/.
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Affiliation(s)
- Wenxi Wang
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zihao Wang
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xintong Li
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhaorong Hu
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Mingming Xin
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yingyin Yao
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
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26
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Kroupin PY, Chernook AG, Bazhenov MS, Karlov GI, Goncharov NP, Chikida NN, Divashuk MG. Allele mining of TaGRF-2D gene 5'-UTR in Triticum aestivum and Aegilops tauschii genotypes. PLoS One 2020; 15:e0231704. [PMID: 32298343 PMCID: PMC7162470 DOI: 10.1371/journal.pone.0231704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/30/2020] [Indexed: 11/18/2022] Open
Abstract
The low diversity of the D-subgenome of bread wheat requires the involvement of new alleles for breeding. In grasses, the allelic state of Growth Regulating Factor (GRF) gene is correlated with nitrogen uptake. In this study, we characterized the sequence of TaGRF-2D and assessed its diversity in bread wheat and goatgrass Aegilops tauschii (genome DD). In silico analysis was performed for reference sequence searching, primer pairs design and sequence assembly. The gene sequence was obtained using Illumina and Sanger sequencing. The complete sequences of TaGRF-2D were obtained for 18 varieties of wheat. The polymorphism in the presence/absence of two GCAGCC repeats in 5' UTR was revealed and the GRF-2D-SSR marker was developed. Our results showed that the alleles 5' UTR-250 and 5' UTR-238 were present in wheat varieties, 5' UTR-250 was presented in the majority of wheat varieties. In Ae. tauschii ssp. strangulata (likely donor of the D-subgenome of polyploid wheat), most accessions carried the 5' UTR-250 allele, whilst most Ae. tauschii ssp. tauschii have 5' UTR-244. The developed GRF-2D-SSR marker can be used to study the genetic diversity of wheat and Ae. tauschii.
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Affiliation(s)
- Pavel Yu. Kroupin
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
| | - Anastasiya G. Chernook
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
| | - Mikhail S. Bazhenov
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
| | - Gennady I. Karlov
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
| | - Nikolay P. Goncharov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Nadezhda N. Chikida
- Federal Research Center Vavilov All-Russian Institute of Plant Genetic Resources, Saint Petersburg, Russia
| | - Mikhail G. Divashuk
- Laboratory of Applied Genomics and Crop Breeding, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
- Centre for Molecular Biotechnology, Russian State Agrarian University–Moscow Timiryazev Agricultural Academy, Moscow, Russia
- Kurchatov Genomics Center-ARRIAB, All-Russia Research Institute of Agricultural Biotechnology, Moscow, Russia
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Garrett KA, Alcalá-Briseño RI, Andersen KF, Brawner J, Choudhury RA, Delaquis E, Fayette J, Poudel R, Purves D, Rothschild J, Small IM, Thomas-Sharma S, Xing Y. Effective Altruism as an Ethical Lens on Research Priorities. PHYTOPATHOLOGY 2020; 110:708-722. [PMID: 31821114 DOI: 10.1094/phyto-05-19-0168-rvw] [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: 06/10/2023]
Abstract
Effective altruism is an ethical framework for identifying the greatest potential benefits from investments. Here, we apply effective altruism concepts to maximize research benefits through identification of priority stakeholders, pathosystems, and research questions and technologies. Priority stakeholders for research benefits may include smallholder farmers who have not yet attained the minimal standards set out by the United Nations Sustainable Development Goals; these farmers would often have the most to gain from better crop disease management, if their management problems are tractable. In wildlands, prioritization has been based on the risk of extirpating keystone species, protecting ecosystem services, and preserving wild resources of importance to vulnerable people. Pathosystems may be prioritized based on yield and quality loss, and also factors such as whether other researchers would be unlikely to replace the research efforts if efforts were withdrawn, such as in the case of orphan crops and orphan pathosystems. Research products that help build sustainable and resilient systems can be particularly beneficial. The "value of information" from research can be evaluated in epidemic networks and landscapes, to identify priority locations for both benefits to individuals and to constrain regional epidemics. As decision-making becomes more consolidated and more networked in digital agricultural systems, the range of ethical considerations expands. Low-likelihood but high-damage scenarios such as generalist doomsday pathogens may be research priorities because of the extreme potential cost. Regional microbiomes constitute a commons, and avoiding the "tragedy of the microbiome commons" may depend on shifting research products from "common pool goods" to "public goods" or other categories. We provide suggestions for how individual researchers and funders may make altruism-driven research more effective.[Formula: see text] Copyright © 2020 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
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Affiliation(s)
- K A Garrett
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
| | - R I Alcalá-Briseño
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
| | - K F Andersen
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
| | - J Brawner
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
| | - R A Choudhury
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
| | - E Delaquis
- International Center for Tropical Agriculture (CIAT), Vientiane, Lao People's Democratic Republic
| | - J Fayette
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
| | - R Poudel
- Genomics and Bioinformatics Research Unit, United States Department of Agriculture-Agricultural Research Service, Gainesville, FL, U.S.A
| | - D Purves
- Philosophy Department, University of Florida, Gainesville, FL, U.S.A
| | - J Rothschild
- Philosophy Department, University of Florida, Gainesville, FL, U.S.A
| | - I M Small
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- North Florida Research & Education Center, University of Florida, Quincy, FL, U.S.A
| | - S Thomas-Sharma
- Department of Plant Pathology and Crop Physiology, Louisiana State University Agricultural Center, Baton Rouge, LA, U.S.A
| | - Y Xing
- Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A
- Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, U.S.A
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, U.S.A
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Tarkowski ŁP, Tsirkone VG, Osipov EM, Beelen S, Lammens W, Vergauwen R, Van den Ende W, Strelkov SV. Crystal structure of Arabidopsis thaliana neutral invertase 2. Acta Crystallogr F Struct Biol Commun 2020; 76:152-157. [PMID: 32134001 PMCID: PMC7057345 DOI: 10.1107/s2053230x2000179x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/07/2020] [Indexed: 11/11/2022] Open
Abstract
The metabolism of sucrose is of crucial importance for life on Earth. In plants, enzymes called invertases split sucrose into glucose and fructose, contributing to the regulation of metabolic fluxes. Invertases differ in their localization and pH optimum. Acidic invertases present in plant cell walls and vacuoles belong to glycoside hydrolase family 32 (GH32) and have an all-β structure. In contrast, neutral invertases are located in the cytosol and organelles such as chloroplasts and mitochondria. These poorly understood enzymes are classified into a separate GH100 family. Recent crystal structures of the closely related neutral invertases InvA and InvB from the cyanobacterium Anabaena revealed a predominantly α-helical fold with unique features compared with other sucrose-metabolizing enzymes. Here, a neutral invertase (AtNIN2) from the model plant Arabidopsis thaliana was heterologously expressed, purified and crystallized. As a result, the first neutral invertase structure from a higher plant has been obtained at 3.4 Å resolution. The hexameric AtNIN2 structure is highly similar to that of InvA, pointing to high evolutionary conservation of neutral invertases.
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Affiliation(s)
- Łukasz P. Tarkowski
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Vicky G. Tsirkone
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Evgenii M. Osipov
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Steven Beelen
- Laboratory for Biocrystallography, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, O&N II, bus 822, 3000 Leuven, Belgium
| | - Willem Lammens
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Rudy Vergauwen
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Wim Van den Ende
- Molecular Plant Biology Laboratory, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, 3000 Leuven, Belgium
| | - Sergei V. Strelkov
- Laboratory for Biocrystallography, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, O&N II, bus 822, 3000 Leuven, Belgium
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Singh N, Raupp J, Koo DH, Friebe B, Gill B, Poland J. In-silico detection of aneuploidy and chromosomal deletions in wheat using genotyping-by-sequencing. PLANT METHODS 2020; 16:45. [PMID: 32280361 PMCID: PMC7137276 DOI: 10.1186/s13007-020-00588-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 03/23/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Short read sequencing technologies, such as genotyping-by-sequencing (GBS), have been utilized in genetic mapping, marker development, and population genomic studies. High-throughput and multiplexing capability coupled with low cost make GBS an appropriate tool for molecular research. Here, we present the application of GBS to characterize wheat aneuploid stocks and detect chromosomal aberrations including aneuploidy and chromosomal deletions. These aneuploids are an important resource that have been used in wheat genetics and genomics studies to localize genes, determine physical positions, and develop chromosome bin maps. RESULTS Using GBS, we mapped sequence reads and quantified read coverage across chromosome bins. Using this approach, we confirmed known deletions and aneuploid stocks. In addition, we were also able to fully characterize these stocks and to identify several novel deletions and aneuploids. With this knowledge and a quick detection tool at our disposal, we can easily isolate these deletions and aneuploids into distinct lines. CONCLUSION We envision this tool to replace the intensive cytogenetics techniques, such as C-banding, and fluorescent- and genomic-in situ hybridization to accurately detect chromosome dosage and segmental deletions in wheat genetic stocks as well as other crop species.
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Affiliation(s)
- Narinder Singh
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
- Present Address: Bayer U.S.–Crop Science, 700 Chesterfield Pkwy W, Chesterfield, MO 63017 USA
| | - John Raupp
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
| | - Dal-Hoe Koo
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
| | - Bernd Friebe
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
| | - Bikram Gill
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
| | - Jesse Poland
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506 USA
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Ivanizs L, Monostori I, Farkas A, Megyeri M, Mikó P, Türkösi E, Gaál E, Lenykó-Thegze A, Szőke-Pázsi K, Szakács É, Darkó É, Kiss T, Kilian A, Molnár I. Unlocking the Genetic Diversity and Population Structure of a Wild Gene Source of Wheat, Aegilops biuncialis Vis., and Its Relationship With the Heading Time. FRONTIERS IN PLANT SCIENCE 2019; 10:1531. [PMID: 31824545 PMCID: PMC6882925 DOI: 10.3389/fpls.2019.01531] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 11/01/2019] [Indexed: 06/02/2023]
Abstract
Understanding the genetic diversity of Aegilops biuncialis, a valuable source of agronomical useful genes, may significantly facilitate the introgression breeding of wheat. The genetic diversity and population structure of 86 Ae. biuncialis genotypes were investigated by 32700 DArT markers with the simultaneous application of three statistical methods- neighbor-joining clustering, Principal Coordinate Analysis, and the Bayesian approach to classification. The collection of Ae. biuncialis accessions was divided into five groups that correlated well with their eco-geographic habitat: A (North Africa), B (mainly from Balkans), C (Kosovo and Near East), D (Turkey, Crimea, and Peloponnese), and E (Azerbaijan and the Levant region). The diversity between the Ae. biuncialis accessions for a phenological trait (heading time), which is of decisive importance in the adaptation of plants to different eco-geographical environments, was studied over 3 years. A comparison of the intraspecific variation in the heading time trait by means of analysis of variance and principal component analysis revealed four phenotypic categories showing association with the genetic structure and geographic distribution, except for minor differences. The detailed exploration of genetic and phenologic divergence provides an insight into the adaptation capacity of Ae. biuncialis, identifying promising genotypes that could be utilized for wheat improvement.
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Affiliation(s)
- László Ivanizs
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - István Monostori
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - András Farkas
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Mária Megyeri
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Péter Mikó
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Edina Türkösi
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Eszter Gaál
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | | | - Kitti Szőke-Pázsi
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Éva Szakács
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Éva Darkó
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Tibor Kiss
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - Andrzej Kilian
- University of Canberra, Diversity Array Technologies, Canberra, ACT, Australia
| | - István Molnár
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czechia
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Badaeva ED, Fisenko AV, Surzhikov SA, Yankovskaya AA, Chikida NN, Zoshchuk SA, Belousova MK, Dragovich AY. Genetic Heterogeneity of a Diploid Grass Aegilops tauschii Revealed by Chromosome Banding Methods and Electrophoretic Analysis of the Seed Storage Proteins (Gliadins). RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419110024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Madsen CK, Brinch-Pedersen H. Molecular Advances on Phytases in Barley and Wheat. Int J Mol Sci 2019; 20:E2459. [PMID: 31109025 PMCID: PMC6566229 DOI: 10.3390/ijms20102459] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 11/17/2022] Open
Abstract
Phytases are pro-nutritional enzymes that hydrolyze phytate and make associated nutrients, such as phosphorous, iron, and zinc, bioavailable. Single-stomached animals and humans depend on phytase supplied through the diet or the action of phytase on the food before ingestion. As a result, phytases-or lack thereof-have a profound impact on agricultural ecosystems, resource management, animal health, and public health. Wheat, barley and their Triticeae relatives make exceptionally good natural sources of phytase. This review highlights advances in the understanding of the molecular basis of the phytase activity in wheat and barley, which has taken place over the past decade. It is shown how the phytase activity in the mature grains of wheat and barley can be ascribed to the PAPhy_a gene, which exists as a single gene in barley and in two or three homeologous copies in tetra- and hexaploid wheat, respectively. It is discussed how understanding the function and regulation of PAPhy_a may support the development of improved wheat and barley with even higher phytase activity.
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Affiliation(s)
- Claus Krogh Madsen
- Department of Molecular Biology and Genetics, Research Center Flakkebjerg, Aarhus University, 4200-Slagelse, Denmark.
| | - Henrik Brinch-Pedersen
- Department of Molecular Biology and Genetics, Research Center Flakkebjerg, Aarhus University, 4200-Slagelse, Denmark.
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