693 results on '"Pozniak, Curtis"'
Search Results
152. Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
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David, Etienne, primary, Madec, Simon, additional, Sadeghi-Tehran, Pouria, additional, Aasen, Helge, additional, Zheng, Bangyou, additional, Liu, Shouyang, additional, Kirchgessner, Norbert, additional, Ishikawa, Goro, additional, Nagasawa, Koichi, additional, Badhon, Minhajul A., additional, Pozniak, Curtis, additional, de Solan, Benoit, additional, Hund, Andreas, additional, Chapman, Scott C., additional, Baret, Frédéric, additional, Stavness, Ian, additional, and Guo, Wei, additional
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- 2020
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153. A roadmap for gene functional characterisation in wheat
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Adamski, Nikolai M, primary, Borrill, Philippa, additional, Brinton, Jemima, additional, Harrington, Sophie, additional, Marchal, Clemence, additional, Bentley, Alison R, additional, Bovill, Wiliam D, additional, Cattivelli, Luigi, additional, Cockram, James, additional, Contreras-Moreira, Bruno, additional, Ford, Brett, additional, Ghosh, Sreya, additional, Harwood, Wendy, additional, Hassani-Pak, Keywan, additional, Hayta, Sadiye, additional, Hickey, Lee T, additional, Kanyuka, Kostya, additional, King, Julie, additional, Maccaferri, Marco, additional, Naamati, Guy, additional, Pozniak, Curtis J, additional, Ramirez-Gonzalez, Ricardo H, additional, Sansaloni, Carolina, additional, Trevaskis, Ben, additional, Wingen, Luzie U, additional, Wulff, Brande BH, additional, and Uauy, Cristobal, additional
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- 2019
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154. Chromosome-scale genome assembly provides insights into rye biology, evolution, and agronomic potential
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Rabanus-Wallace, M. Timothy, primary, Hackauf, Bernd, additional, Mascher, Martin, additional, Lux, Thomas, additional, Wicker, Thomas, additional, Gundlach, Heidrun, additional, Báez, Mariana, additional, Houben, Andreas, additional, Mayer, Klaus F.X., additional, Guo, Liangliang, additional, Poland, Jesse, additional, Pozniak, Curtis J., additional, Walkowiak, Sean, additional, Melonek, Joanna, additional, Praz, Coraline, additional, Schreiber, Mona, additional, Budak, Hikmet, additional, Heuberger, Matthias, additional, Steuernagel, Burkhard, additional, Wulff, Brande, additional, Börner, Andreas, additional, Byrns, Brook, additional, Čížková, Jana, additional, Fowler, D. Brian, additional, Fritz, Allan, additional, Himmelbach, Axel, additional, Kaithakottil, Gemy, additional, Keilwagen, Jens, additional, Keller, Beat, additional, Konkin, David, additional, Larsen, Jamie, additional, Li, Qiang, additional, Myśków, Beata, additional, Padmarasu, Sudharsan, additional, Rawat, Nidhi, additional, Sesiz, Uğur, additional, Sezgi, Biyiklioglu, additional, Sharpe, Andy, additional, Šimková, Hana, additional, Small, Ian, additional, Swarbreck, David, additional, Toegelová, Helena, additional, Tsvetkova, Natalia, additional, Voylokov, Anatoly V., additional, Vrána, Jan, additional, Bauer, Eva, additional, Bolibok-Bragoszewska, Hanna, additional, Doležel, Jaroslav, additional, Hall, Anthony, additional, Jia, Jizeng, additional, Korzun, Viktor, additional, Laroche, André, additional, Ma, Xue-Feng, additional, Ordon, Frank, additional, Özkan, Hakan, additional, Rakoczy-Trojanowska, Monika, additional, Scholz, Uwe, additional, Schulman, Alan H., additional, Siekmann, Dörthe, additional, Stojałowski, Stefan, additional, Tiwari, Vijay, additional, Spannagl, Manuel, additional, and Stein, Nils, additional
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- 2019
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155. Additional file 1: of Genetic factors affecting Fusarium head blight resistance improvement from introgression of exotic Sumai 3 alleles (including Fhb1, Fhb2, and Fhb5) in hard red spring wheat
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Gurcharn Brar, Brûlé-Babel, Anita, Yuefeng Ruan, Henriquez, Maria, Pozniak, Curtis, Kutcher, Hadley, and Hucl, Pierre
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food and beverages ,health care economics and organizations - Abstract
Protocol #1.Procedure for Neogen enzyme linked immune-sorbent aasay (ELISA) for deoxynivalenol (DON) quantification in Fusarium head blight infected grains. Table S1. Proportions of the recurrent parent (RP) and donor parent (DP) genomes in the near-isogenic lines for CDC Go and CDC Alsask streams based on 81,587 SNP markers from 90 K iSelect assay. Here: A, B, H, U represent recurrent parent, donor parent, heterozygous, and unknown alleles, respectively. Figure S1. Polymorphism in CDC Go and CDC Alsask near-isogenic lines (NILs). Figure S2. Polymorphism in CDC Alsask near-isogenic lines on Chromosomes other than 3B, 5A, 6B. Figure S3. Polymorphism in CDC Go near-isogenic lines on Chromosomes other than 3B, 5A, 6B. Figure S4. GGE Biplots for CDC Go and CDC Alsask near-isogenic lines (NILs). (DOCX 1474 kb)
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- 2019
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156. MOESM2 of TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools
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CéCile Monat, Sudharsan Padmarasu, Lux, Thomas, Wicker, Thomas, Gundlach, Heidrun, Himmelbach, Axel, Ens, Jennifer, Chengdao Li, Muehlbauer, Gary, Schulman, Alan, Waugh, Robbie, Braumann, Ilka, Pozniak, Curtis, Scholz, Uwe, Mayer, Klaus, Spannagl, Manuel, Stein, Nils, and Mascher, Martin
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Additional file 2. Review History.
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- 2019
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157. Canadian Society of Plant Breeders 2019 Presentiation - Cultivar classification, major genes, and chromosomal position explain the distribution of genetic diversity in a sample of Canadian bread wheat
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Hargreaves, Max, Lukens, Lewis, and Pozniak, Curtis
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- 2019
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158. The Transcriptional Landscape of Polyploid Wheats and Their Diploid Ancestors during Embryogenesis and Grain Development
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Xiang, Daoquan, Quilichini, Teagen D., Liu, Ziying, Gao, Peng, Pan, Youlian, Li, Qiang, Nilsen, Kirby T., Venglat, Prakash, Esteban, Eddi, Pasha, Asher, Wang, Yejun, Wen, Rui, Zhang, Zhongjuan, Hao, Zhaodong, Wang, Edwin, Wei, Yangdou, Cuthbert, Richard, Kochian, Leon V., Sharpe, Andrew, Provart, Nicholas, Weijers, Dolf, Gillmor, Stewart C., Pozniak, Curtis, Datla, Raju, Xiang, Daoquan, Quilichini, Teagen D., Liu, Ziying, Gao, Peng, Pan, Youlian, Li, Qiang, Nilsen, Kirby T., Venglat, Prakash, Esteban, Eddi, Pasha, Asher, Wang, Yejun, Wen, Rui, Zhang, Zhongjuan, Hao, Zhaodong, Wang, Edwin, Wei, Yangdou, Cuthbert, Richard, Kochian, Leon V., Sharpe, Andrew, Provart, Nicholas, Weijers, Dolf, Gillmor, Stewart C., Pozniak, Curtis, and Datla, Raju
- Abstract
Modern wheat production comes from two polyploid species, Triticum aestivum and Triticumturgidum (var durum), which putatively arose from diploid ancestors Triticumurartu, Aegilops speltoides, and Aegilopstauschii How gene expression during embryogenesis and grain development in wheats has been shaped by the differing contributions of diploid genomes through hybridization, polyploidization, and breeding selection is not well understood. This study describes the global landscape of gene activities during wheat embryogenesis and grain development. Using comprehensive transcriptomic analyses of two wheat cultivars and three diploid grasses, we investigated gene expression at seven stages of embryo development, two endosperm stages, and one pericarp stage. We identified transcriptional signatures and developmental similarities and differences among the five species, revealing the evolutionary divergence of gene expression programs and the contributions of A, B, and D subgenomes to grain development in polyploid wheats. The characterization of embryonic transcriptional programming in hexaploid wheat, tetraploid wheat, and diploid grass species provides insight into the landscape of gene expression in modern wheat and its ancestral species. This study presents a framework for understanding the evolution of domesticated wheat and the selective pressures placed on grain production, with important implications for future performance and yield improvements.plantcell;31/12/2888/FX1F1fx1.
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- 2019
159. Additional file 1: of MeioCapture: an efficient method for staging and isolation of meiocytes in the prophase I sub-stages of meiosis in wheat
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Shunmugam, Arun, Bollina, Venkatesh, Dukowic-Schulze, Stefanie, Bhowmik, Pankaj, Ambrose, Chris, Higgins, James, Pozniak, Curtis, Sharpe, Andrew, Rozwadowski, Kevin, and Sateesh Kagale
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Figure S1. Transmission electron microscopy images of ultra-thin sections of Chinese Spring wheat anthers varying in length from 0.5 to 1.4 mm. Scale bar = 50 μm. (PDF 570 kb)
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- 2018
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160. Structural features of two major nucleolar organizer regions (NORs), Nor-B1 and Nor-B2, and chromosome-specific rRNA gene expression in wheat
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Handa, Hirokazu, Kanamori, Hiroyuki, Tanaka, Tsuyoshi, Murata, Kazuki, Kobayashi, Fuminori, Robinson, Stephen J., Koh, Chu S., Pozniak, Curtis J., Sharpe, Andrew G., Paux, Etienne, International Wheat Genome Sequencing Consortium, ., Wu, Jianzhong, Nasuda, Shuhei, Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Graduate School of Agriculture, Laboratory of Plant Genetics, Kyoto University, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada (AAFC), Global Institute for Food Security, University of Saskatchewan, Crop Development Centre, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), International Wheat Genome Sequencing Consortium (IWGSC), Ministry of Agriculture, Forestry and Fisheries of Japan [NGB-1003], Institute of Crop Sciences of CAAS [Beijing] (ICS CAAS), Agriculture and Agri-Food [Ottawa] (AAFC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Handa, Hirokazu, Agriculture and Agri-Food (AAFC), and University of Saskatchewan [Saskatoon] (U of S)
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0106 biological sciences ,0301 basic medicine ,Triticum aestivum L ,rDNA unit subtypes ,DNA Copy Number Variations ,gene expression ,nucleolar dominance ,nucleolar organizer region ,sequence structure ,Plant Science ,Biology ,Genes, Plant ,Polymerase Chain Reaction ,01 natural sciences ,Genome ,Chromosomes, Plant ,ribosomal dna ,03 medical and health sciences ,blé ,Gene Expression Regulation, Plant ,Gene density ,wheat ,Gene expression ,Genetics ,RefSeq ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,In Situ Hybridization, Fluorescence ,Triticum ,2. Zero hunger ,Vegetal Biology ,Chromosome ,Cell Biology ,Ribosomal RNA ,adn ribosomique ,External transcribed spacer ,structure génétique ,030104 developmental biology ,Genetic Loci ,RNA, Plant ,RNA, Ribosomal ,nucleolus organizer region ,Nucleolus organizer region ,Genome, Plant ,Biologie végétale ,010606 plant biology & botany ,expression des gènes ,organisateur nucléolaire - Abstract
The reference genome sequence of wheat 'Chinese Spring' (CS) is now available (IWGSC RefSeq v1.0), but the core sequences defining the nucleolar organizer regions (NORs) have not been characterized. We estimated that the total copy number of the rDNA units in the wheat genome is 11 160, of which 30.5%, 60.9% and 8.6% are located on Nor-B1 (1B), Nor-B2 (6B) and other NORs, respectively. The total length of the NORs is estimated to be 100 Mb, corresponding to approximately 10% of the unassembled portion of the genome not represented in RefSeq v1.0. Four subtypes (S1-S4) of the rDNA units were identified based on differences within the 3' external transcribed spacer regions in Nor-B1 and Nor-B2, and quantitative PCR indicated locus-specific variation in rDNA subtype contents. Expression analyses of rDNA subtypes revealed that S1 was predominantly expressed and S2 weakly expressed, in contrast to the relative abundance of rDNA subtypes in the wheat genome. These results suggest a regulation mechanism of differential rDNA expression based on sequence differences. S3 expression increased in the ditelosomic lines Dt1BL and Dt6BL, suggesting that S3 is subjected to chromosome-mediated silencing. Structural differences were detected in the regions surrounding the NOR among homoeologous chromosomes of groups 1 and 6. The adjacent regions distal to the major NORs were expanded compared with their homoeologous counterparts, and the gene density of these expanded regions was relatively low. We provide evidence that these regions are likely to be important for autoregulation of the associated major NORs as well as silencing of minor NORs.
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- 2018
161. The Transcriptional Landscape of Polyploid Wheats and Their Diploid Ancestors during Embryogenesis and Grain Development
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Xiang, Daoquan, primary, Quilichini, Teagen D., additional, Liu, Ziying, additional, Gao, Peng, additional, Pan, Youlian, additional, Li, Qiang, additional, Nilsen, Kirby T., additional, Venglat, Prakash, additional, Esteban, Eddi, additional, Pasha, Asher, additional, Wang, Yejun, additional, Wen, Rui, additional, Zhang, Zhongjuan, additional, Hao, Zhaodong, additional, Wang, Edwin, additional, Wei, Yangdou, additional, Cuthbert, Richard, additional, Kochian, Leon V., additional, Sharpe, Andrew, additional, Provart, Nicholas, additional, Weijers, Dolf, additional, Gillmor, C. Stewart, additional, Pozniak, Curtis, additional, and Datla, Raju, additional
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- 2019
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162. Novel Informatic Tools to Support Functional Annotation of the Durum Wheat Genome
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Fruzangohar, Mario, primary, Kalashyan, Elena, additional, Kalambettu, Priyanka, additional, Ens, Jennifer, additional, Wiebe, Krysta, additional, Pozniak, Curtis J., additional, Tricker, Penny J., additional, and Baumann, Ute, additional
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- 2019
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163. Mapping of Genetic Loci Conferring Resistance to Leaf Rust From Three Globally Resistant Durum Wheat Sources
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Kthiri, Dhouha, primary, Loladze, Alexander, additional, N’Diaye, Amidou, additional, Nilsen, Kirby T., additional, Walkowiak, Sean, additional, Dreisigacker, Susanne, additional, Ammar, Karim, additional, and Pozniak, Curtis J., additional
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- 2019
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164. Fusarium Head Blight in Durum Wheat: Recent Status, Breeding Directions, and Future Research Prospects
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Haile, Jemanesh K., primary, N’Diaye, Amidou, additional, Walkowiak, Sean, additional, Nilsen, Kirby T., additional, Clarke, John M., additional, Kutcher, Hadley R., additional, Steiner, Barbara, additional, Buerstmayr, Hermann, additional, and Pozniak, Curtis J., additional
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- 2019
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165. Grain protein content and thousand kernel weight QTLs identified in a durum × wild emmer wheat mapping population tested in five environments
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Fatiukha, Andrii, primary, Filler, Naveh, additional, Lupo, Itamar, additional, Lidzbarsky, Gabriel, additional, Klymiuk, Valentyna, additional, Korol, Abraham B., additional, Pozniak, Curtis, additional, Fahima, Tzion, additional, and Krugman, Tamar, additional
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- 2019
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166. Developing a high‐throughput micromilling protocol for evaluating durum wheat milling performance and semolina quality
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Wang, Kun, primary, Taylor, Dale, additional, Pozniak, Curtis, additional, and Fu, Bin Xiao, additional
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- 2019
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167. Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features
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Mardanisamani, Sara, primary, Maleki, Farhad, additional, Kassani, Sara Hosseinzadeh, additional, Rajapaksa, Sajith, additional, Duddu, Hema, additional, Wang, Menglu, additional, Shirtliffe, Steve, additional, Ryu, Seungbum, additional, Josuttes, Anique, additional, Zhang, Ti, additional, Vail, Sally, additional, Pozniak, Curtis, additional, Parkin, Isobel, additional, Stavness, Ian, additional, and Eramian, Mark, additional
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- 2019
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168. TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools
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Monat, Cécile, primary, Padmarasu, Sudharsan, additional, Lux, Thomas, additional, Wicker, Thomas, additional, Gundlach, Heidrun, additional, Himmelbach, Axel, additional, Ens, Jennifer, additional, Li, Chengdao, additional, Muehlbauer, Gary J., additional, Schulman, Alan H., additional, Waugh, Robbie, additional, Braumann, Ilka, additional, Pozniak, Curtis, additional, Scholz, Uwe, additional, Mayer, Klaus F. X., additional, Spannagl, Manuel, additional, Stein, Nils, additional, and Mascher, Martin, additional
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- 2019
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169. Grain Protein Content QTLs Identified in a Durum × Wild Emmer Wheat Mapping Population Tested in Five Environments
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Fatiukha, Andrii, primary, Lupo, Itamar, additional, Lidzbarsky, Gabriel, additional, Klymiuk, Valentina, additional, Korol, Abraham B., additional, Pozniak, Curtis, additional, Fahima, Tzion, additional, and Krugman, Tamar, additional
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- 2019
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170. Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
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Avni, Raz, primary, Oren, Leah, additional, Shabtay, Gai, additional, Assili, Siwar, additional, Pozniak, Curtis, additional, Hale, Iago, additional, Ben-David, Roi, additional, Peleg, Zvi, additional, and Distelfeld, Assaf, additional
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- 2018
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171. Shifting the limits in wheat research and breeding using a fully annotated reference genome
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Appels, Rudi, Eversole, Kellye, Stein, Nils, Feuillet, Catherine, Keller, Beat, Rogers, Jane, Pozniak, Curtis J., Choulet, Frédéric, Distelfeld, Assaf, Poland, Jesse, Ronen, Gil, Sharpe, Andrew G., Barad, Omer, Baruch, Kobi, Keeble-gagnère, Gabriel, Mascher, Martin, Ben-zvi, Gil, Josselin, Ambre-aurore, Himmelbach, Axel, Balfourier, François, Gutierrez-gonzalez, Juan, Hayden, Matthew, Koh, Chushin, Muehlbauer, Gary, Pasam, Raj K., Paux, Etienne, Rigault, Philippe, Tibbits, Josquin, Tiwari, Vijay, Spannagl, Manuel, Lang, Daniel, Gundlach, Heidrun, Haberer, Georg, Mayer, Klaus F. X., Ormanbekova, Danara, Prade, Verena, Šimková, Hana, Wicker, Thomas, Swarbreck, David, Rimbert, Hélène, Felder, Marius, Guilhot, Nicolas, Kaithakottil, Gemy, Keilwagen, Jens, Leroy, Philippe, Lux, Thomas, Twardziok, Sven, Venturini, Luca, Juhász, Angéla, Abrouk, Michael, Fischer, Iris, Uauy, Cristobal, Borrill, Philippa, Ramirez-gonzalez, Ricardo H., Arnaud, Dominique, Chalabi, Smahane, Chalhoub, Boulos, Cory, Aron, Datla, Raju, Davey, Mark W., Jacobs, John, Robinson, Stephen J., Steuernagel, Burkhard, Van Ex, Fred, Wulff, Brande B. H., Benhamed, Moussa, Bendahmane, Abdelhafid, Concia, Lorenzo, Latrasse, David, Bartoš, Jan, Bellec, Arnaud, Berges, Hélène, Doležel, Jaroslav, Frenkel, Zeev, Gill, Bikram, Korol, Abraham, Letellier, Thomas, Olsen, Odd-arne, Singh, Kuldeep, Valárik, Miroslav, Van Der Vossen, Edwin, Vautrin, Sonia, Weining, Song, Fahima, Tzion, Glikson, Vladimir, Raats, Dina, Číhalíková, Jarmila, Toegelová, Helena, Vrána, Jan, Sourdille, Pierre, Darrier, Benoit, Barabaschi, Delfina, Cattivelli, Luigi, Hernandez, Pilar, Galvez, Sergio, Budak, Hikmet, Jones, Jonathan D. G., Witek, Kamil, Yu, Guotai, Small, Ian, Melonek, Joanna, Zhou, Ruonan, Belova, Tatiana, Kanyuka, Kostya, King, Robert, Nilsen, Kirby, Walkowiak, Sean, Cuthbert, Richard, Knox, Ron, Wiebe, Krysta, Xiang, Daoquan, Rohde, Antje, Golds, Timothy, Čížková, Jana, Akpinar, Bala Ani, Biyiklioglu, Sezgi, Gao, Liangliang, N’daiye, Amidou, Kubaláková, Marie, Šafář, Jan, Alfama, Françoise, Adam-blondon, Anne-françoise, Flores, Raphael, Guerche, Claire, Loaec, Mikaël, Quesneville, Hadi, Condie, Janet, Ens, Jennifer, Maclachlan, Ron, Tan, Yifang, Alberti, Adriana, Aury, Jean-marc, Barbe, Valérie, Couloux, Arnaud, Cruaud, Corinne, Labadie, Karine, Mangenot, Sophie, Wincker, Patrick, Kaur, Gaganpreet, Luo, Mingcheng, Sehgal, Sunish, Chhuneja, Parveen, Gupta, Om Prakash, Jindal, Suruchi, Kaur, Parampreet, Malik, Palvi, Sharma, Priti, Yadav, Bharat, Singh, Nagendra K., Khurana, Jitendra P., Chaudhary, Chanderkant, Khurana, Paramjit, Kumar, Vinod, Mahato, Ajay, Mathur, Saloni, Sevanthi, Amitha, Sharma, Naveen, Tomar, Ram Sewak, Holušová, Kateřina, Plíhal, Ondřej, Clark, Matthew D., Heavens, Darren, Kettleborough, George, Wright, Jon, Balcárková, Barbora, Hu, Yuqin, Salina, Elena, Ravin, Nikolai, Skryabin, Konstantin, Beletsky, Alexey, Kadnikov, Vitaly, Mardanov, Andrey, Nesterov, Michail, Rakitin, Andrey, Sergeeva, Ekaterina, Handa, Hirokazu, Kanamori, Hiroyuki, Katagiri, Satoshi, Kobayashi, Fuminori, Nasuda, Shuhei, Tanaka, Tsuyoshi, Wu, Jianzhong, Cattonaro, Federica, Jiumeng, Min, Kugler, Karl, Pfeifer, Matthias, Sandve, Simen, Xun, Xu, Zhan, Bujie, Batley, Jacqueline, Bayer, Philipp E., Edwards, David, Hayashi, Satomi, Tulpová, Zuzana, Visendi, Paul, Cui, Licao, Du, Xianghong, Feng, Kewei, Nie, Xiaojun, Tong, Wei, Wang, Le, Appels, Rudi, Eversole, Kellye, Stein, Nils, Feuillet, Catherine, Keller, Beat, Rogers, Jane, Pozniak, Curtis J., Choulet, Frédéric, Distelfeld, Assaf, Poland, Jesse, Ronen, Gil, Sharpe, Andrew G., Barad, Omer, Baruch, Kobi, Keeble-gagnère, Gabriel, Mascher, Martin, Ben-zvi, Gil, Josselin, Ambre-aurore, Himmelbach, Axel, Balfourier, François, Gutierrez-gonzalez, Juan, Hayden, Matthew, Koh, Chushin, Muehlbauer, Gary, Pasam, Raj K., Paux, Etienne, Rigault, Philippe, Tibbits, Josquin, Tiwari, Vijay, Spannagl, Manuel, Lang, Daniel, Gundlach, Heidrun, Haberer, Georg, Mayer, Klaus F. X., Ormanbekova, Danara, Prade, Verena, Šimková, Hana, Wicker, Thomas, Swarbreck, David, Rimbert, Hélène, Felder, Marius, Guilhot, Nicolas, Kaithakottil, Gemy, Keilwagen, Jens, Leroy, Philippe, Lux, Thomas, Twardziok, Sven, Venturini, Luca, Juhász, Angéla, Abrouk, Michael, Fischer, Iris, Uauy, Cristobal, Borrill, Philippa, Ramirez-gonzalez, Ricardo H., Arnaud, Dominique, Chalabi, Smahane, Chalhoub, Boulos, Cory, Aron, Datla, Raju, Davey, Mark W., Jacobs, John, Robinson, Stephen J., Steuernagel, Burkhard, Van Ex, Fred, Wulff, Brande B. H., Benhamed, Moussa, Bendahmane, Abdelhafid, Concia, Lorenzo, Latrasse, David, Bartoš, Jan, Bellec, Arnaud, Berges, Hélène, Doležel, Jaroslav, Frenkel, Zeev, Gill, Bikram, Korol, Abraham, Letellier, Thomas, Olsen, Odd-arne, Singh, Kuldeep, Valárik, Miroslav, Van Der Vossen, Edwin, Vautrin, Sonia, Weining, Song, Fahima, Tzion, Glikson, Vladimir, Raats, Dina, Číhalíková, Jarmila, Toegelová, Helena, Vrána, Jan, Sourdille, Pierre, Darrier, Benoit, Barabaschi, Delfina, Cattivelli, Luigi, Hernandez, Pilar, Galvez, Sergio, Budak, Hikmet, Jones, Jonathan D. G., Witek, Kamil, Yu, Guotai, Small, Ian, Melonek, Joanna, Zhou, Ruonan, Belova, Tatiana, Kanyuka, Kostya, King, Robert, Nilsen, Kirby, Walkowiak, Sean, Cuthbert, Richard, Knox, Ron, Wiebe, Krysta, Xiang, Daoquan, Rohde, Antje, Golds, Timothy, Čížková, Jana, Akpinar, Bala Ani, Biyiklioglu, Sezgi, Gao, Liangliang, N’daiye, Amidou, Kubaláková, Marie, Šafář, Jan, Alfama, Françoise, Adam-blondon, Anne-françoise, Flores, Raphael, Guerche, Claire, Loaec, Mikaël, Quesneville, Hadi, Condie, Janet, Ens, Jennifer, Maclachlan, Ron, Tan, Yifang, Alberti, Adriana, Aury, Jean-marc, Barbe, Valérie, Couloux, Arnaud, Cruaud, Corinne, Labadie, Karine, Mangenot, Sophie, Wincker, Patrick, Kaur, Gaganpreet, Luo, Mingcheng, Sehgal, Sunish, Chhuneja, Parveen, Gupta, Om Prakash, Jindal, Suruchi, Kaur, Parampreet, Malik, Palvi, Sharma, Priti, Yadav, Bharat, Singh, Nagendra K., Khurana, Jitendra P., Chaudhary, Chanderkant, Khurana, Paramjit, Kumar, Vinod, Mahato, Ajay, Mathur, Saloni, Sevanthi, Amitha, Sharma, Naveen, Tomar, Ram Sewak, Holušová, Kateřina, Plíhal, Ondřej, Clark, Matthew D., Heavens, Darren, Kettleborough, George, Wright, Jon, Balcárková, Barbora, Hu, Yuqin, Salina, Elena, Ravin, Nikolai, Skryabin, Konstantin, Beletsky, Alexey, Kadnikov, Vitaly, Mardanov, Andrey, Nesterov, Michail, Rakitin, Andrey, Sergeeva, Ekaterina, Handa, Hirokazu, Kanamori, Hiroyuki, Katagiri, Satoshi, Kobayashi, Fuminori, Nasuda, Shuhei, Tanaka, Tsuyoshi, Wu, Jianzhong, Cattonaro, Federica, Jiumeng, Min, Kugler, Karl, Pfeifer, Matthias, Sandve, Simen, Xun, Xu, Zhan, Bujie, Batley, Jacqueline, Bayer, Philipp E., Edwards, David, Hayashi, Satomi, Tulpová, Zuzana, Visendi, Paul, Cui, Licao, Du, Xianghong, Feng, Kewei, Nie, Xiaojun, Tong, Wei, and Wang, Le
- Abstract
Wheat is one of the major sources of food for much of the world. However, because bread wheat's genome is a large hybrid mix of three separate subgenomes, it has been difficult to produce a high-quality reference sequence. Using recent advances in sequencing, the International Wheat Genome Sequencing Consortium presents an annotated reference genome with a detailed analysis of gene content among subgenomes and the structural organization for all the chromosomes. Examples of quantitative trait mapping and CRISPR-based genome modification show the potential for using this genome in agricultural research and breeding. Ramírez-González et al. exploited the fruits of this endeavor to identify tissue-specific biased gene expression and coexpression networks during development and exposure to stress. These resources will accelerate our understanding of the genetic basis of bread wheat.
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- 2018
172. Genetic analysis of oviposition deterrence to orange wheat blossom midge in spring wheat.
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Thambugala, Dinushika, Pozniak, Curtis J., Kumar, Santosh, Burt, Andrew J., Wise, Ian L., Smith, Marjorie A. H., Fox, Stephen L., Costamagna, Alejandro C., and McCartney, Curt A.
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OVIPARITY , *WHEAT diseases & pests , *DIPTERA , *SINGLE nucleotide polymorphisms , *GENETIC markers , *WHEAT , *INSECT pests - Abstract
Key message: A major QTL for oviposition deterrence to orange wheat blossom midge was detected on chromosome 1A in the Canadian breeding line BW278 that was inherited from the Chinese variety Sumai-3. Orange wheat blossom midge (OWBM, Sitodiplosis mosellana Géhin, Diptera: Cecidomyiidae) is an important insect pest of wheat (Triticum aestivum L.) that reduces both grain yield and quality. Oviposition deterrence results in a reduction of eggs deposited on spikes relative to that observed on a wheat line preferred by OWBM. Quantification of oviposition deterrence is labor-intensive, so wheat breeders require efficient DNA markers for the selection of this trait. The objective of this study was to identify quantitative trait loci (QTL) for oviposition deterrence in a doubled haploid (DH) population developed from the spring wheat cross Superb/BW278. The DH population and check varieties were evaluated for OWBM kernel damage from five field nurseries over three growing seasons. QTL analysis identified major effect loci on chromosomes 1A (QSm.mrc-1A) and 5A (QSm.mrc-5A). Reduced kernel damage was contributed by BW278 at QSm.mrc-1A and Superb at QSm.mrc-5A. QSm.mrc-1A mapped to the approximate location of the oviposition deterrence QTL previously found in the American variety Reeder. However, haplotype analysis revealed that BW278 inherited this oviposition deterrence allele from the Chinese spring wheat variety Sumai-3. QSm.mrc-5A mapped to the location of awn inhibitor gene B1, suggesting that awns hinder OWBM oviposition. Single-nucleotide polymorphisms (SNPs) were identified for predicting the presence or absence of QSm.mrc-1A based upon haplotype. Functional annotation of candidate genes in 1A QTL intervals revealed eleven potential candidate genes, including a gene involved in terpenoid biosynthesis. SNPs for QSm.mrc-1A and fully awned spikes provide a basis for the selection of oviposition deterrence to OWBM. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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173. The Aegilops ventricosa 2NvS segment in bread wheat: cytology, genomics and breeding.
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Gao, Liangliang, Koo, Dal-Hoe, Juliana, Philomin, Rife, Trevor, Singh, Daljit, Lemes da Silva, Cristiano, Lux, Thomas, Dorn, Kevin M., Clinesmith, Marshall, Silva, Paula, Wang, Xu, Spannagl, Manuel, Monat, Cecile, Friebe, Bernd, Steuernagel, Burkhard, Muehlbauer, Gary J., Walkowiak, Sean, Pozniak, Curtis, Singh, Ravi, and Stein, Nils
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WINTER wheat ,WHEAT breeding ,WHEAT ,AEGILOPS ,WHEAT diseases & pests ,CYTOLOGY ,WHEAT yields ,STRIPE rust - Abstract
Key message: The first cytological characterization of the 2N
v S segment in hexaploid wheat; complete de novo assembly and annotation of 2Nv S segment; 2Nv S frequency is increasing 2Nv S and is associated with higher yield. The Aegilops ventricosa 2Nv S translocation segment has been utilized in breeding disease-resistant wheat crops since the early 1990s. This segment is known to possess several important resistance genes against multiple wheat diseases including root knot nematode, stripe rust, leaf rust and stem rust. More recently, this segment has been associated with resistance to wheat blast, an emerging and devastating wheat disease in South America and Asia. To date, full characterization of the segment including its size, gene content and its association with grain yield is lacking. Here, we present a complete cytological and physical characterization of this agronomically important translocation in bread wheat. We de novo assembled the 2Nv S segment in two wheat varieties, 'Jagger' and 'CDC Stanley,' and delineated the segment to be approximately 33 Mb. A total of 535 high-confidence genes were annotated within the 2Nv S region, with > 10% belonging to the nucleotide-binding leucine-rich repeat (NLR) gene families. Identification of groups of NLR genes that are potentially N genome-specific and expressed in specific tissues can fast-track testing of candidate genes playing roles in various disease resistances. We also show the increasing frequency of 2Nv S among spring and winter wheat breeding programs over two and a half decades, and the positive impact of 2Nv S on wheat grain yield based on historical datasets. The significance of the 2Nv S segment in wheat breeding due to resistance to multiple diseases and a positive impact on yield highlights the importance of understanding and characterizing the wheat pan-genome for better insights into molecular breeding for wheat improvement. [ABSTRACT FROM AUTHOR]- Published
- 2021
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174. Genomic prediction of agronomic traits in wheat using different models and cross-validation designs.
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Haile, Teketel A., Walkowiak, Sean, N'Diaye, Amidou, Clarke, John M., Hucl, Pierre J., Cuthbert, Richard D., Knox, Ron E., and Pozniak, Curtis J.
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PLANT breeding ,FORECASTING ,WHEAT farming ,WHEAT - Abstract
Key message: Genomic predictions across environments and within populations resulted in moderate to high accuracies but across-population genomic prediction should not be considered in wheat for small population size. Genomic selection (GS) is a marker-based selection suggested to improve the genetic gain of quantitative traits in plant breeding programs. We evaluated the effects of training population (TP) composition, cross-validation design, and genetic relationship between the training and breeding populations on the accuracy of GS in spring wheat (Triticum aestivum L.). Two populations of 231 and 304 spring hexaploid wheat lines that were phenotyped for six agronomic traits and genotyped with the wheat 90 K array were used to assess the accuracy of seven GS models (RR-BLUP, G-BLUP, BayesB, BL, RKHS, GS + de novo GWAS, and reaction norm) using different cross-validation designs. BayesB outperformed the other models for within-population genomic predictions in the presence of few quantitative trait loci (QTL) with large effects. However, including fixed-effect marker covariates gave better performance for an across-population prediction when the same QTL underlie traits in both populations. The accuracy of prediction was highly variable based on the cross-validation design, which suggests the importance to use a design that resembles the variation within a breeding program. Moderate to high accuracies were obtained when predictions were made within populations. In contrast, across-population genomic prediction accuracies were very low, suggesting that the evaluated models are not suitable for prediction across independent populations. On the other hand, across-environment prediction and forward prediction designs using the reaction norm model resulted in moderate to high accuracies, suggesting that GS can be applied in wheat to predict the performance of newly developed lines and lines in incomplete field trials. [ABSTRACT FROM AUTHOR]
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- 2021
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175. Additional file 2: Figure S1. of Highly predictive SNP markers for efficient selection of the wheat leaf rust resistance gene Lr16
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Mulualem Kassa, You, Frank, Hiebert, Colin, Pozniak, Curtis, Fobert, Pierre, Sharpe, Andrew, Menzies, James, D. Humphreys, Harrison, Nicole Rezac, Fellers, John, McCallum, Brent, and McCartney, Curt
- Abstract
Genotyping profile of the KASP markers (A) 2BS-5194460_kwm747, (B) 2BS-5192454_kwm677, (C) 2BS-5175914_kwm847, (D) 2BS-5175914_kwm849, (E) 2BS-5203447_kwm742, and (F) BS00108724_kwm461 tested on homozygous Lr16 carriers, homozygous susceptible wheats, and heterozygous plants to show the diagnostic potential of the KASP assays to distinguish between heterozygous and homozygous samples. (PPTX 826 kb)
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- 2017
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176. Copy number variation of TdDof controls solid-stemmed architecture in wheat.
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Nilsen, Kirby T., Walkowiak, Sean, Daoquan Xiang, Peng Gao, Quilichini, Teagen D., Willick, Ian R., Byrns, Brook, N'Diaye, Amidou, Ens, Jennifer, Wiebe, Krystalee, Ruan, Yuefeng, Cuthbert, Richard D., Craze, Melanie, Wallington, Emma J., Simmonds, James, Uauy, Cristobal, Datla, Raju, and Pozniak, Curtis J.
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WHEAT ,EMMER wheat ,APOPTOSIS - Abstract
Stem solidness is an important agronomic trait of durum (Triticum turgidum L. var. durum) and bread (Triticum aestivum L.) wheat that provides resistance to the wheat stem sawfly. This dominant trait is conferred by the SSt1 locus on chromosome 3B. However, the molecular identity and mechanisms underpinning stem solidness have not been identified. Here, we demonstrate that copy number variation of TdDof, a gene encoding a putative DNA binding with one finger protein, controls the stem solidness trait in wheat. Using map-based cloning, we localized TdDof to within a physical interval of 2.1 Mb inside the SSt1 locus. Molecular analysis revealed that hollow-stemmed wheat cultivars such as Kronos carry a single copy of TdDof, whereas solid-stemmed cultivars such as CDC Fortitude carry multiple identical copies of the gene. Deletion of all TdDof copies from CDC Fortitude resulted in the loss of stem solidness, whereas the transgenic overexpression of TdDof restored stem solidness in the TdDof deletion mutant pithless1 and conferred stem solidness in Kronos. In solidstemmed cultivars, increased TdDof expression was correlated with the down-regulation of genes whose orthologs have been implicated in programmed cell death (PCD) in other species. Anatomical and histochemical analyses revealed that hollow-stemmed lines had stronger PCD-associated signals in the pith cells compared to solid-stemmed lines, which suggests copy numberdependent expression of TdDof could be directly or indirectly involved in the negative regulation of PCD. These findings provide opportunities to manipulate stem development in wheat and other monocots for agricultural or industrial purposes. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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177. Genetic analyses of native Fusarium head blight resistance in two spring wheat populations identifies QTL near the B1, Ppd-D1, Rht-1, Vrn-1, Fhb1, Fhb2, and Fhb5 loci.
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Thambugala, Dinushika, Brûlé-Babel, Anita L., Blackwell, Barbara A., Fedak, George, Foster, Adam J., MacEachern, Dan, Gilbert, Jeannie, Henriquez, Maria Antonia, Martin, Richard A., McCallum, Brent D., Spaner, Dean, Iqbal, Muhammad, Pozniak, Curtis J., N'Diaye, Amidou, and McCartney, Curt A.
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FUSARIUM ,LOCUS (Genetics) ,SYMPTOMS - Abstract
Key message: QTL analyses of two bi-parental mapping populations with AC Barrie as a parent revealed numerous FHB-resistance QTL unique to each population and uncovered novel variation near Fhb1. Fusarium head blight (FHB) is a destructive disease of wheat worldwide, leading to severe yield and quality losses. The genetic basis of native FHB resistance was examined in two populations: a recombinant inbred line population from the cross Cutler/AC Barrie and a doubled haploid (DH) population from the cross AC Barrie/Reeder. Numerous QTL were detected among the two mapping populations with many being cross-specific. Photoperiod insensitivity at Ppd-D1 and dwarfing at Rht-B1 and Rht-D1 was associated with increased FHB susceptibility. Anthesis date QTL at or near the Vrn-A1 and Vrn-B1 loci co-located with major FHB-resistance QTL in the AC Barrie/Reeder population. The loci were epistatic for both traits, such that DH lines with both late alleles were considerably later to anthesis and had reduced FHB symptoms (i.e., responsible for the epistatic interaction). Interestingly, AC Barrie contributed FHB resistance near the Fhb1 locus in the Cutler population and susceptibility in the Reeder population. Analyses of the Fhb1 candidate genes PFT and TaHRC confirmed that AC Barrie, Cutler, and Reeder do not carry the Sumai-3 Fhb1 gene. Resistance QTL were also detected at the expected locations of Fhb2 and Fhb5. The native FHB-resistance QTL detected near Fhb1, Fhb2, and Fhb5 do not appear to be as effective as Fhb1, Fhb2, and Fhb5 from Sumai-3. The presence of awns segregated at the B1 awn inhibitor locus in both populations, but was only associated with FHB resistance in the Cutler/AC Barrie population suggesting linkage caused the association rather than pleiotropy. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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178. Three previously characterized resistances to yellow rust are encoded by a single locus Wtk1.
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Klymiuk, Valentyna, Fatiukha, Andrii, Raats, Dina, Bocharova, Valeria, Huang, Lin, Feng, Lihua, Jaiwar, Samidha, Pozniak, Curtis, Coaker, Gitta, Dubcovsky, Jorge, and Fahima, Tzion
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STRIPE rust ,EMMER wheat ,NATURAL selection ,GENE regulatory networks ,IMMUNE complexes ,WHEAT diseases & pests ,MOLECULAR cloning ,STEEL corrosion - Abstract
The wild emmer wheat (Triticum turgidum ssp. dicoccoides ; WEW) yellow (stripe) rust resistance genes Yr15 , YrG303 , and YrH52 were discovered in natural populations from different geographic locations. They all localize to chromosome 1B but were thought to be non-allelic based on differences in resistance response. We recently cloned Yr15 as a Wheat Tandem Kinase 1 (WTK1) and show here that these three resistance loci co-segregate in fine-mapping populations and share an identical full-length genomic sequence of functional Wtk1. Independent ethyl methanesulfonate (EMS)-mutagenized susceptible yrG303 and yrH52 lines carried single nucleotide mutations in Wtk1 that disrupted function. A comparison of the mutations for yr15 , yrG303 , and yrH52 mutants showed that while key conserved residues were intact, other conserved regions in critical kinase subdomains were frequently affected. Thus, we concluded that Yr15- , YrG303 -, and YrH52 -mediated resistances to yellow rust are encoded by a single locus, Wtk1. Introgression of Wtk1 into multiple genetic backgrounds resulted in variable phenotypic responses, confirming that Wtk1 -mediated resistance is part of a complex immune response network. WEW natural populations subjected to natural selection and adaptation have potential to serve as a good source for evolutionary studies of different traits and multifaceted gene networks. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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179. Historic recombination in a durum wheat breeding panel enables high-resolution mapping of Fusarium head blight resistance quantitative trait loci.
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Sari, Ehsan, Knox, Ron E., Ruan, Yuefeng, Henriquez, Maria Antonia, Kumar, Santosh, Burt, Andrew J., Cuthbert, Richard D., Konkin, David J., Walkowiak, Sean, Campbell, Heather L., Singh, Asheesh K., Ross, Jay, Lokuruge, Prabhath, Hsueh, Emma, Boyle, Kerry, Sidebottom, Christine, Condie, Janet, Yates, Shawn, Pozniak, Curtis J., and Fobert, Pierre R.
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DURUM wheat ,WHEAT breeding ,FUSARIUM diseases of plants ,PLANT chromosomes ,HAPLOTYPES - Abstract
The durum wheat line DT696 is a source of moderate Fusarium head blight (FHB) resistance. Previous analysis using a bi-parental population identified two FHB resistance quantitative trait loci (QTL) on chromosome 5A: 5A1 was co-located with a plant height QTL, and 5A2 with a major maturity QTL. A Genome-Wide Association Study (GWAS) of DT696 derivative lines from 72 crosses based on multi-environment FHB resistance, plant height, and maturity phenotypic data was conducted to improve the mapping resolution and further elucidate the genetic relationship of height and maturity with FHB resistance. The Global Tetraploid Wheat Collection (GTWC) was exploited to identify durum wheat lines with DT696 allele and additional recombination events. The 5A2 QTL was confirmed in the derivatives, suggesting the expression stability of the 5A2 QTL in various genetic backgrounds. The GWAS led to an improved mapping resolution rendering the 5A2 interval 10 Mbp shorter than the bi-parental QTL mapping interval. Haplotype analysis using SNPs within the 5A2 QTL applied to the GTWC identified novel haplotypes and recombination breakpoints, which could be exploited for further improvement of the mapping resolution. This study suggested that GWAS of derivative breeding lines is a credible strategy for improving mapping resolution. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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180. Genome-wide and SNP network analyses reveal genetic control of spikelet sterility and yield-related traits in wheat.
- Author
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Alqudah, Ahmad M., Haile, Jemanesh K., Alomari, Dalia Z., Pozniak, Curtis J., Kobiljski, Borislav, and Börner, Andreas
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GENOMES ,SINGLE nucleotide polymorphisms ,WHEAT yields ,GIBBERELLINS ,ION transport (Biology) - Abstract
Revealing the genetic factors underlying yield and agronomic traits in wheat are an imperative need for covering the global food demand. Yield boosting requires a deep understanding of the genetic basis of grain yield-related traits (e.g., spikelet fertility and sterility). Here, we have detected much natural variation among ancient hexaploid wheat accessions in twenty-two agronomic traits collected over eight years of field experiments. A genome-wide association study (GWAS) using 15 K single nucleotide polymorphisms (SNPs) was applied to detect the genetic basis of studied traits. Subsequently, the GWAS output was reinforced via other statistical and bioinformatics analyses to detect putative candidate genes. Applying the genome-wide SNP-phenotype network defined the most decisive SNPs underlying the traits. Six pivotal SNPs, co-located physically within the genes encoding enzymes, hormone response, metal ion transport, and response to oxidative stress have been identified. Of these, metal ion transport and Gibberellin 2-oxidases (GA2oxs) genes showed strong involvement in controlling the spikelet sterility, which had not been reported previously in wheat. SNP-gene haplotype analysis confirmed that these SNPs influence spikelet sterility, especially the SNP co-located on the exon of the GA2ox gene. Interestingly, these genes were highly expressed in the grain and spike, demonstrating their pivotal role in controlling the trait. The integrative analysis strategy applied in this study, including GWAS, SNP-phenotype network, SNP-gene haplotype, expression analysis, and genome-wide prediction (GP), empower the identification of functional SNPs and causal genes. GP outputs obtained in this study are encouraging for the implementation of the traits to accelerate yield improvement by making an early prediction of complex yield-related traits in wheat. Our findings demonstrate the usefulness of the ancient wheat material as a valuable resource for yield-boosting. This is the first comprehensive genome-wide analysis for spikelet sterility in wheat, and the results provide insights into yield improvement. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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181. Grain protein content and thousand kernel weight QTLs identified in a durum × wild emmer wheat mapping population tested in five environments.
- Author
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Fatiukha, Andrii, Filler, Naveh, Lupo, Itamar, Lidzbarsky, Gabriel, Klymiuk, Valentyna, Korol, Abraham B., Pozniak, Curtis, Fahima, Tzion, and Krugman, Tamar
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EMMER wheat ,GRAIN proteins ,DURUM wheat ,WHEAT ,SINGLE nucleotide polymorphisms ,GENE mapping ,ECOLOGY - Abstract
Key message: Genetic dissection of GPC and TKW in tetraploid durum × WEW RIL population, based on high-density SNP genetic map, revealed 12 GPC QTLs and 11 TKW QTLs, with favorable alleles for 11 and 5 QTLs, respectively, derived from WEW. Wild emmer wheat (Triticum turgidum ssp. dicoccoides, WEW) was shown to exhibit high grain protein content (GPC) and therefore possess a great potential for improvement of cultivated wheat nutritional value. Genetic dissection of thousand kernel weight (TKW) and grain protein content (GPC) was performed using a high-density genetic map constructed based on a recombinant inbred line (RIL) population derived from a cross between T. durum var. Svevo and WEW acc. Y12-3. Genotyping of 208 F
6 RILs with a 15 K wheat single nucleotide polymorphism (SNP) array yielded 4166 polymorphic SNP markers, of which 1510 were designated as skeleton markers. A total map length of 2169 cM was obtained with an average distance of 1.5 cM between SNPs. A total of 12 GPC QTLs and 11 TKW QTLs were found under five different environments. No significant correlations were found between GPC and TKW across all environments. Four major GPC QTLs with favorable alleles from WEW were found on chromosomes 4BS, 5AS, 6BS and 7BL. The 6BS GPC QTL coincided with the physical position of the NAC transcription factor TtNAM-B1, underlying the cloned QTL, Gpc-B1. Comparisons of the physical intervals of the GPC QTLs described here with the results previously reported in other durum × WEW RIL population led to the discovery of seven novel GPC QTLs. Therefore, our research emphasizes the importance of GPC QTL dissection in diverse WEW accessions as a source of novel alleles for improvement of GPC in cultivated wheat. [ABSTRACT FROM AUTHOR]- Published
- 2020
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- View/download PDF
182. TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools.
- Author
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Monat, Cécile, Padmarasu, Sudharsan, Lux, Thomas, Wicker, Thomas, Gundlach, Heidrun, Himmelbach, Axel, Ens, Jennifer, Li, Chengdao, Muehlbauer, Gary J., Schulman, Alan H., Waugh, Robbie, Braumann, Ilka, Pozniak, Curtis, Scholz, Uwe, Mayer, Klaus F. X., Spannagl, Manuel, Stein, Nils, and Mascher, Martin
- Published
- 2019
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183. Haplotype Loci Under Selection in Canadian Durum Wheat Germplasm Over 60 Years of Breeding: Association With Grain Yield, Quality Traits, Protein Loss, and Plant Height
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N’Diaye, Amidou, primary, Haile, Jemanesh K., additional, Nilsen, Kirby T., additional, Walkowiak, Sean, additional, Ruan, Yuefeng, additional, Singh, Asheesh K., additional, Clarke, Fran R., additional, Clarke, John M., additional, and Pozniak, Curtis J., additional
- Published
- 2018
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184. High density genetic mapping of Fusarium head blight resistance QTL in tetraploid wheat
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Sari, Ehsan, primary, Berraies, Samia, additional, Knox, Ron E., additional, Singh, Asheesh K., additional, Ruan, Yuefeng, additional, Cuthbert, Richard D., additional, Pozniak, Curtis J., additional, Henriquez, Maria Antonia, additional, Kumar, Santosh, additional, Burt, Andrew J., additional, N’Diaye, Amidou, additional, Konkin, David J., additional, Cabral, Adrian L., additional, Campbell, Heather L., additional, Wiebe, Krystalee, additional, Condie, Janet, additional, Lokuruge, Prabhath, additional, Meyer, Brad, additional, Fedak, George, additional, Clarke, Fran R., additional, Clarke, John M., additional, Somers, Daryl J., additional, and Fobert, Pierre R., additional
- Published
- 2018
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185. Genetic analysis of resistance to stripe rust in durum wheat (Triticum turgidum L. var. durum)
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Lin, Xue, primary, N’Diaye, Amidou, additional, Walkowiak, Sean, additional, Nilsen, Kirby T., additional, Cory, Aron T., additional, Haile, Jemanesh, additional, Kutcher, Hadley R., additional, Ammar, Karim, additional, Loladze, Alexander, additional, Huerta-Espino, Julio, additional, Clarke, John M., additional, Ruan, Yuefeng, additional, Knox, Ron, additional, Fobert, Pierre, additional, Sharpe, Andrew G., additional, and Pozniak, Curtis J., additional
- Published
- 2018
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186. In vitro assessment of the starch digestibility of western Canadian wheat market classes and cultivars
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Karunaratne, Namalika D., primary, Abbott, Dawn A., additional, Chibbar, Ravindra N., additional, Hucl, Pierre J., additional, Pozniak, Curtis J., additional, and Classen, Henry L., additional
- Published
- 2018
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187. Genetic map‐guided genome assembly reveals a virulence‐governing minichromosome in the lentil anthracnose pathogen Colletotrichum lentis
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Bhadauria, Vijai, primary, MacLachlan, Ron, additional, Pozniak, Curtis, additional, Cohen‐Skalie, Aurelie, additional, Li, Li, additional, Halliday, Jerlene, additional, and Banniza, Sabine, additional
- Published
- 2018
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188. Genome‐wide Association Study of Agronomic Traits in a Spring‐Planted North American Elite Hard Red Spring Wheat Panel
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Godoy, Jayfred, primary, Gizaw, Shiferaw, additional, Chao, Shiaoman, additional, Blake, Nancy, additional, Carter, Arron, additional, Cuthbert, Richard, additional, Dubcovsky, Jorge, additional, Hucl, Pierre, additional, Kephart, Ken, additional, Pozniak, Curtis, additional, Prasad, P.V. Vara, additional, Pumphrey, Michael, additional, and Talbert, Luther, additional
- Published
- 2018
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189. Characterization and mapping of leaf rust resistance in four durum wheat cultivars
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Kthiri, Dhouha, primary, Loladze, Alexander, additional, MacLachlan, P. R., additional, N’Diaye, Amidou, additional, Walkowiak, Sean, additional, Nilsen, Kirby, additional, Dreisigacker, Susanne, additional, Ammar, Karim, additional, and Pozniak, Curtis J., additional
- Published
- 2018
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190. Genome re-sequencing and simple sequence repeat markers reveal the existence of divergent lineages in the CanadianPuccinia striiformisf. sp.triticipopulation with extensive DNA methylation
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Brar, Gurcharn S., primary, Ali, Sajid, additional, Qutob, Dinah, additional, Ambrose, Stephen, additional, Lou, Kun, additional, Maclachlan, Ron, additional, Pozniak, Curtis J., additional, Fu, Yong-Bi, additional, Sharpe, Andrew G., additional, and Kutcher, Hadley R., additional
- Published
- 2018
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191. DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
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Aich, Shubhra, primary, Josuttes, Anique, additional, Ovsyannikov, Ilya, additional, Strueby, Keegan, additional, Ahmed, Imran, additional, Duddu, Hema Sudhakar, additional, Pozniak, Curtis, additional, Shirtliffe, Steve, additional, and Stavness, Ian, additional
- Published
- 2018
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192. Classification of Crop Lodging with Gray Level Co-occurrence Matrix
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Rajapaksa, Sajith, primary, Eramian, Mark, additional, Duddu, Hema, additional, Wang, Menglu, additional, Shirtliffe, Steve, additional, Ryu, Seungbum, additional, Josuttes, Anique, additional, Zhang, Ti, additional, Vail, Sally, additional, Pozniak, Curtis, additional, and Parkin, Isobel, additional
- Published
- 2018
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193. High-density genetic mapping of a major QTL for resistance to multiple races of loose smut in a tetraploid wheat cross
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Kumar, Sachin, primary, Knox, Ron E., additional, Singh, Asheesh K., additional, DePauw, Ron M., additional, Campbell, Heather L., additional, Isidro-Sanchez, Julio, additional, Clarke, Fran R., additional, Pozniak, Curtis J., additional, N’Daye, Amidou, additional, Meyer, Brad, additional, Sharpe, Andrew, additional, Ruan, Yuefeng, additional, Cuthbert, Richard D., additional, Somers, Daryl, additional, and Fedak, George, additional
- Published
- 2018
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194. High Density Single Nucleotide Polymorphism (SNP) Mapping and Quantitative Trait Loci (QTL) Analysis in a Biparental Spring Triticale Population Localized Major and Minor Effect Fusarium Head Blight Resistance and Associated Traits QTL
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Dhariwal, Raman, primary, Fedak, George, additional, Dion, Yves, additional, Pozniak, Curtis, additional, Laroche, André, additional, Eudes, François, additional, and Randhawa, Harpinder, additional
- Published
- 2018
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195. Chromosome-scale genome assembly provides insights into rye biology, evolution and agronomic potential
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Rabanus-Wallace, M. Timothy, Hackauf, Bernd, Mascher, Martin, Lux, Thomas, Wicker, Thomas, Gundlach, Heidrun, Baez, Mariana, Houben, Andreas, Mayer, Klaus F. X., Guo, Liangliang, Poland, Jesse, Pozniak, Curtis J., Walkowiak, Sean, Melonek, Joanna, Praz, Coraline R., Schreiber, Mona, Budak, Hikmet, Heuberger, Matthias, Steuernagel, Burkhard, Wulff, Brande, Börner, Andreas, Byrns, Brook, Čížková, Jana, Fowler, D. Brian, Fritz, Allan, Himmelbach, Axel, Kaithakottil, Gemy, Keilwagen, Jens, Keller, Beat, Konkin, David, Larsen, Jamie, Li, Qiang, Myśków, Beata, Padmarasu, Sudharsan, Rawat, Nidhi, Sesiz, Uğur, Biyiklioglu-Kaya, Sezgi, Sharpe, Andy, Šimková, Hana, Small, Ian, Swarbreck, David, Toegelová, Helena, Tsvetkova, Natalia, Voylokov, Anatoly V., Vrána, Jan, Bauer, Eva, Bolibok-Bragoszewska, Hanna, Doležel, Jaroslav, Hall, Anthony, Jia, Jizeng, Korzun, Viktor, Laroche, André, Ma, Xue-Feng, Ordon, Frank, Özkan, Hakan, Rakoczy-Trojanowska, Monika, Scholz, Uwe, Schulman, Alan H., Siekmann, Dörthe, Stojałowski, Stefan, Tiwari, Vijay K., Spannagl, Manuel, and Stein, Nils
- Abstract
Rye (Secale cerealeL.) is an exceptionally climate-resilient cereal crop, used extensively to produce improved wheat varieties via introgressive hybridization and possessing the entire repertoire of genes necessary to enable hybrid breeding. Rye is allogamous and only recently domesticated, thus giving cultivated ryes access to a diverse and exploitable wild gene pool. To further enhance the agronomic potential of rye, we produced a chromosome-scale annotated assembly of the 7.9-gigabase rye genome and extensively validated its quality by using a suite of molecular genetic resources. We demonstrate applications of this resource with a broad range of investigations. We present findings on cultivated rye’s incomplete genetic isolation from wild relatives, mechanisms of genome structural evolution, pathogen resistance, low-temperature tolerance, fertility control systems for hybrid breeding and the yield benefits of rye–wheat introgressions.
- Published
- 2021
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196. DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
- Author
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Aich, Shubhra, Josuttes, Anique, Ovsyannikov, Ilya, Strueby, Keegan, Ahmed, Imran, Duddu, Hema Sudhakar, Pozniak, Curtis, Shirtliffe, Steve, Stavness, Ian, Aich, Shubhra, Josuttes, Anique, Ovsyannikov, Ilya, Strueby, Keegan, Ahmed, Imran, Duddu, Hema Sudhakar, Pozniak, Curtis, Shirtliffe, Steve, and Stavness, Ian
- Abstract
In this paper, we investigate estimating emergence and biomass traits from color images and elevation maps of wheat field plots. We employ a state-of-the-art deconvolutional network for segmentation and convolutional architectures, with residual and Inception-like layers, to estimate traits via high dimensional nonlinear regression. Evaluation was performed on two different species of wheat, grown in field plots for an experimental plant breeding study. Our framework achieves satisfactory performance with mean and standard deviation of absolute difference of 1.05 and 1.40 counts for emergence and 1.45 and 2.05 for biomass estimation. Our results for counting wheat plants from field images are better than the accuracy reported for the similar, but arguably less difficult, task of counting leaves from indoor images of rosette plants. Our results for biomass estimation, even with a very small dataset, improve upon all previously proposed approaches in the literature., Comment: WACV 2018 (Code repository: https://github.com/p2irc/deepwheat_WACV-2018)
- Published
- 2017
197. Genetic improvement of photosynthetic efficiency in wheat
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Datla, Raju, Babic, Vivijan, Venglat, Prakash, Xiang, Daoquan, Wen, Rui, Wang, Edwin, Cuthbert, Richard, Singh, Jas, Pozniak, Curtis, Reynolds, Matthew, and Molero, Gemma
- Abstract
Identify and characterize new gene targets (GT) involved in photosynthetic efficiency., Canadian Wheat Alliance (CWA) Open House, March 16, 2016, Saskatoon, Saskatchewan, Canada
- Published
- 2016
198. Improving genetic diversity in wheat: development of NAM resource
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Sharpe, Andy, Yu, Bianyun, Zhang, Wentao, Gao, Peng, Sidbottom, Christine, Lokuruge, Prabath, Clarke, Carling, Cram, Dustin, Fobert, Pierre, Cuthbert, Richard, Knox, Ron, and Pozniak, Curtis
- Abstract
Canadian Wheat Alliance (CWA) Open House, March 16, 2016, Saskatoon, Saskatchewan, Canada
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- 2016
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199. Multiple wheat genomes reveal global variation in modern breeding
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Walkowiak, Sean, Gao, Liangliang, Monat, Cecile, Haberer, Georg, Kassa, Mulualem T., Brinton, Jemima, Ramirez-Gonzalez, Ricardo H., Kolodziej, Markus C., Delorean, Emily, Thambugala, Dinushika, Klymiuk, Valentyna, Byrns, Brook, Gundlach, Heidrun, Bandi, Venkat, Siri, Jorge Nunez, Nilsen, Kirby, Aquino, Catharine, Himmelbach, Axel, Copetti, Dario, Ban, Tomohiro, Venturini, Luca, Bevan, Michael, Clavijo, Bernardo, Koo, Dal-Hoe, Ens, Jennifer, Wiebe, Krystalee, N’Diaye, Amidou, Fritz, Allen K., Gutwin, Carl, Fiebig, Anne, Fosker, Christine, Fu, Bin Xiao, Accinelli, Gonzalo Garcia, Gardner, Keith A., Fradgley, Nick, Gutierrez-Gonzalez, Juan, Halstead-Nussloch, Gwyneth, Hatakeyama, Masaomi, Koh, Chu Shin, Deek, Jasline, Costamagna, Alejandro C., Fobert, Pierre, Heavens, Darren, Kanamori, Hiroyuki, Kawaura, Kanako, Kobayashi, Fuminori, Krasileva, Ksenia, Kuo, Tony, McKenzie, Neil, Murata, Kazuki, Nabeka, Yusuke, Paape, Timothy, Padmarasu, Sudharsan, Percival-Alwyn, Lawrence, Kagale, Sateesh, Scholz, Uwe, Sese, Jun, Juliana, Philomin, Singh, Ravi, Shimizu-Inatsugi, Rie, Swarbreck, David, Cockram, James, Budak, Hikmet, Tameshige, Toshiaki, Tanaka, Tsuyoshi, Tsuji, Hiroyuki, Wright, Jonathan, Wu, Jianzhong, Steuernagel, Burkhard, Small, Ian, Cloutier, Sylvie, Keeble-Gagnère, Gabriel, Muehlbauer, Gary, Tibbets, Josquin, Nasuda, Shuhei, Melonek, Joanna, Hucl, Pierre J., Sharpe, Andrew G., Clark, Matthew, Legg, Erik, Bharti, Arvind, Langridge, Peter, Hall, Anthony, Uauy, Cristobal, Mascher, Martin, Krattinger, Simon G., Handa, Hirokazu, Shimizu, Kentaro K., Distelfeld, Assaf, Chalmers, Ken, Keller, Beat, Mayer, Klaus F. X., Poland, Jesse, Stein, Nils, McCartney, Curt A., Spannagl, Manuel, Wicker, Thomas, and Pozniak, Curtis J.
- Abstract
Advances in genomics have expedited the improvement of several agriculturally important crops but similar efforts in wheat (Triticumspp.) have been more challenging. This is largely owing to the size and complexity of the wheat genome1, and the lack of genome-assembly data for multiple wheat lines2,3. Here we generated ten chromosome pseudomolecule and five scaffold assemblies of hexaploid wheat to explore the genomic diversity among wheat lines from global breeding programs. Comparative analysis revealed extensive structural rearrangements, introgressions from wild relatives and differences in gene content resulting from complex breeding histories aimed at improving adaptation to diverse environments, grain yield and quality, and resistance to stresses4,5. We provide examples outlining the utility of these genomes, including a detailed multi-genome-derived nucleotide-binding leucine-rich repeat protein repertoire involved in disease resistance and the characterization of Sm16, a gene associated with insect resistance. These genome assemblies will provide a basis for functional gene discovery and breeding to deliver the next generation of modern wheat cultivars.
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- 2020
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200. The barley pan-genome reveals the hidden legacy of mutation breeding
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Jayakodi, Murukarthick, Padmarasu, Sudharsan, Haberer, Georg, Bonthala, Venkata Suresh, Gundlach, Heidrun, Monat, Cécile, Lux, Thomas, Kamal, Nadia, Lang, Daniel, Himmelbach, Axel, Ens, Jennifer, Zhang, Xiao-Qi, Angessa, Tefera T., Zhou, Gaofeng, Tan, Cong, Hill, Camilla, Wang, Penghao, Schreiber, Miriam, Boston, Lori B., Plott, Christopher, Jenkins, Jerry, Guo, Yu, Fiebig, Anne, Budak, Hikmet, Xu, Dongdong, Zhang, Jing, Wang, Chunchao, Grimwood, Jane, Schmutz, Jeremy, Guo, Ganggang, Zhang, Guoping, Mochida, Keiichi, Hirayama, Takashi, Sato, Kazuhiro, Chalmers, Kenneth J., Langridge, Peter, Waugh, Robbie, Pozniak, Curtis J., Scholz, Uwe, Mayer, Klaus F. X., Spannagl, Manuel, Li, Chengdao, Mascher, Martin, and Stein, Nils
- Abstract
Genetic diversity is key to crop improvement. Owing to pervasive genomic structural variation, a single reference genome assembly cannot capture the full complement of sequence diversity of a crop species (known as the ‘pan-genome’1). Multiple high-quality sequence assemblies are an indispensable component of a pan-genome infrastructure. Barley (Hordeum vulgareL.) is an important cereal crop with a long history of cultivation that is adapted to a wide range of agro-climatic conditions2. Here we report the construction of chromosome-scale sequence assemblies for the genotypes of 20 varieties of barley—comprising landraces, cultivars and a wild barley—that were selected as representatives of global barley diversity. We catalogued genomic presence/absence variants and explored the use of structural variants for quantitative genetic analysis through whole-genome shotgun sequencing of 300 gene bank accessions. We discovered abundant large inversion polymorphisms and analysed in detail two inversions that are frequently found in current elite barley germplasm; one is probably the product of mutation breeding and the other is tightly linked to a locus that is involved in the expansion of geographical range. This first-generation barley pan-genome makes previously hidden genetic variation accessible to genetic studies and breeding.
- Published
- 2020
- Full Text
- View/download PDF
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