Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx
Supplementary S1: Yield and related traits in bread wheat. Table S1: Examples of genomic regions, candidate and cloned genes for yield and related traits in bread wheat. Supplementary S2: Drought tolerance. Table S2: Examples of genomic regions and candidate genes for drought tolerance. Supplementar...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/330913 |
| Acceso en línea: | http://hdl.handle.net/10261/330913 |
| Access Level: | acceso abierto |
| Palabra clave: | Wheat Genome-wide association Quantitative trait locus mapping Abiotic-stress tolerance Genomic selection QTL cloning Disease resistance CRISPR/Cas9 |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx Supplementary File for Capturing wheat phenotypes at the genome level |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx Hussain, Babar Wheat Genome-wide association Quantitative trait locus mapping Abiotic-stress tolerance Genomic selection QTL cloning Disease resistance CRISPR/Cas9 |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docx |
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Hussain, Babar Akpınar, Bala Anı Alaux, Michael Algharib, Ahmed M. Sehgal, Deepmala Ali, Zulfiqar Aradottir, Gudbjorg I. Batley, Jacqueline Bellec, Arnaud Bentley, Alison R. Cagirici, Halise B. Cattivelli, Luigi Choulet, Fred Cockram, James Desiderio, Francesca Devaux, Pierre Dogramaci, Munevver Dorado, Gabriel Dreisigacker, Susanne Edwards, David El-Hassouni, Khaoula Eversole, Kellye Fahima, Tzion Figueroa, Melania Gálvez, Sergio Gill, Kulvinder S. Govta, Liubov Gul, Alvina Hensel, Goetz Hernández Molina, Pilar Crespo-Herrera, Leonardo Abdiel Ibrahim, Amir Kilian, Benjamin Korzun, Viktor Krugman, Tamar Li, Yinghui Liu, Shuyu Mahmoud, Amer F. Morgounov, Alexey Muslu, Tugdem Naseer, Faiza Ordon, Frank Paux, Etienne Perovic, Dragan Reddy, Gadi V. P. Reif, Jochen C. Reynolds, Matthew Roychowdhury, Rajib Rudd, Jackie Sen, Taner Z. Sukumaran, Sivakumar Özdemir, Bahar Soğutmaz Tiwari, Vijay Kumar Ullah, Naimat Unver, Turgay Yazar, Selami Appels, Rudi Budak, Hikmet |
| author |
Hussain, Babar |
| author_facet |
Hussain, Babar Akpınar, Bala Anı Alaux, Michael Algharib, Ahmed M. Sehgal, Deepmala Ali, Zulfiqar Aradottir, Gudbjorg I. Batley, Jacqueline Bellec, Arnaud Bentley, Alison R. Cagirici, Halise B. Cattivelli, Luigi Choulet, Fred Cockram, James Desiderio, Francesca Devaux, Pierre Dogramaci, Munevver Dorado, Gabriel Dreisigacker, Susanne Edwards, David El-Hassouni, Khaoula Eversole, Kellye Fahima, Tzion Figueroa, Melania Gálvez, Sergio Gill, Kulvinder S. Govta, Liubov Gul, Alvina Hensel, Goetz Hernández Molina, Pilar Crespo-Herrera, Leonardo Abdiel Ibrahim, Amir Kilian, Benjamin Korzun, Viktor Krugman, Tamar Li, Yinghui Liu, Shuyu Mahmoud, Amer F. Morgounov, Alexey Muslu, Tugdem Naseer, Faiza Ordon, Frank Paux, Etienne Perovic, Dragan Reddy, Gadi V. P. Reif, Jochen C. Reynolds, Matthew Roychowdhury, Rajib Rudd, Jackie Sen, Taner Z. Sukumaran, Sivakumar Özdemir, Bahar Soğutmaz Tiwari, Vijay Kumar Ullah, Naimat Unver, Turgay Yazar, Selami Appels, Rudi Budak, Hikmet |
| author_role |
author |
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Akpınar, Bala Anı Alaux, Michael Algharib, Ahmed M. Sehgal, Deepmala Ali, Zulfiqar Aradottir, Gudbjorg I. Batley, Jacqueline Bellec, Arnaud Bentley, Alison R. Cagirici, Halise B. Cattivelli, Luigi Choulet, Fred Cockram, James Desiderio, Francesca Devaux, Pierre Dogramaci, Munevver Dorado, Gabriel Dreisigacker, Susanne Edwards, David El-Hassouni, Khaoula Eversole, Kellye Fahima, Tzion Figueroa, Melania Gálvez, Sergio Gill, Kulvinder S. Govta, Liubov Gul, Alvina Hensel, Goetz Hernández Molina, Pilar Crespo-Herrera, Leonardo Abdiel Ibrahim, Amir Kilian, Benjamin Korzun, Viktor Krugman, Tamar Li, Yinghui Liu, Shuyu Mahmoud, Amer F. Morgounov, Alexey Muslu, Tugdem Naseer, Faiza Ordon, Frank Paux, Etienne Perovic, Dragan Reddy, Gadi V. P. Reif, Jochen C. Reynolds, Matthew Roychowdhury, Rajib Rudd, Jackie Sen, Taner Z. Sukumaran, Sivakumar Özdemir, Bahar Soğutmaz Tiwari, Vijay Kumar Ullah, Naimat Unver, Turgay Yazar, Selami Appels, Rudi Budak, Hikmet |
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author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
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Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
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Wheat Genome-wide association Quantitative trait locus mapping Abiotic-stress tolerance Genomic selection QTL cloning Disease resistance CRISPR/Cas9 |
| topic |
Wheat Genome-wide association Quantitative trait locus mapping Abiotic-stress tolerance Genomic selection QTL cloning Disease resistance CRISPR/Cas9 |
| description |
Supplementary S1: Yield and related traits in bread wheat. Table S1: Examples of genomic regions, candidate and cloned genes for yield and related traits in bread wheat. Supplementary S2: Drought tolerance. Table S2: Examples of genomic regions and candidate genes for drought tolerance. Supplementary S3: Heat tolerance. Table S3. Examples of genomic regions and candidate genes for heat tolerance. Supplementary S4: salinity tolerance in bread wheat. Table S4. Examples of genomic regions and candidate genes for salinity tolerance in bread wheat. Supplementary S5: Frost tolerance. Supplementary S6: Disease resistance. Table S5. Examples of genomic regions, candidate and cloned genes mapped for disease resistance in wheat species. Supplementary S7 insect and mite resistance. Table S6. Examples of genomic regions and candidate genes mapped for insect and mite resistance. Supplementary S8: Quality traits. Table S7. Examples of genomic regions, candidate and cloned genes for quality traits. |
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2022 |
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2022 2023 2023 |
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http://hdl.handle.net/10261/330913 |
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Inglés |
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Inglés |
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Hussain, Babar; Akpınar, Bala Anı; Alaux, Michael; Algharib, Ahmed M.; Sehgal, Deepmala; Ali, Zulfiqar; Aradottir, Gudbjorg I.; Batley, Jacqueline; Bellec, Arnaud; Bentley, Alison R.; Cagirici, Halise B.; Cattivelli, Luigi; Choulet, Fred; Cockram, James; Desiderio, Francesca; Devaux, Pierre; Dogramaci, Munevver; Dorado, Gabriel; Dreisigacker, Susanne; Edwards, David; El-Hassouni, Khaoula; Eversole, Kellye; Fahima, Tzion; Figueroa, Melania; Gálvez, Sergio; Gill, Kulvinder S.; Govta, Liubov; Gul, Alvina; Hensel, Goetz; Hernández Rodríguez, Pilar; Crespo-Herrera, Leonardo Abdiel; Ibrahim, Amir; Kilian, Benjamin; Korzun, Viktor; Krugman, Tamar; Li, Yinghui; Liu, Shuyu; Mahmoud, Amer F.; Morgounov, Alexey; Muslu, Tugdem; Naseer, Faiza; Ordon, Frank; Paux, Etienne; Perovic, Dragan; Reddy, Gadi V. P.; Reif, Jochen C.; Reynolds, Matthew; Roychowdhury, Rajib; Rudd, Jackie; Sen, Taner Z.; Sukumaran, Sivakumar; Özdemir, Bahar Soğutmaz; Tiwari, Vijay Kumar; Ullah, Naimat; Unver, Turgay; Yazar, Selami; Appels, Rudi; Budak, Hikmet. Capturing Wheat Phenotypes at the Genome Level. https://doi.org/10.3389/fpls.2022.851079 . http://hdl.handle.net/10261/286919 https://doi.org/10.3389/fpls.2022.851079.s001 Sí |
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Data_Sheet_1_Capturing Wheat Phenotypes at the Genome Level.docxSupplementary File for Capturing wheat phenotypes at the genome levelHussain, BabarAkpınar, Bala AnıAlaux, MichaelAlgharib, Ahmed M.Sehgal, DeepmalaAli, ZulfiqarAradottir, Gudbjorg I.Batley, JacquelineBellec, ArnaudBentley, Alison R.Cagirici, Halise B.Cattivelli, LuigiChoulet, FredCockram, JamesDesiderio, FrancescaDevaux, PierreDogramaci, MunevverDorado, GabrielDreisigacker, SusanneEdwards, DavidEl-Hassouni, KhaoulaEversole, KellyeFahima, TzionFigueroa, MelaniaGálvez, SergioGill, Kulvinder S.Govta, LiubovGul, AlvinaHensel, GoetzHernández Molina, PilarCrespo-Herrera, Leonardo AbdielIbrahim, AmirKilian, BenjaminKorzun, ViktorKrugman, TamarLi, YinghuiLiu, ShuyuMahmoud, Amer F.Morgounov, AlexeyMuslu, TugdemNaseer, FaizaOrdon, FrankPaux, EtiennePerovic, DraganReddy, Gadi V. P.Reif, Jochen C.Reynolds, MatthewRoychowdhury, RajibRudd, JackieSen, Taner Z.Sukumaran, SivakumarÖzdemir, Bahar SoğutmazTiwari, Vijay KumarUllah, NaimatUnver, TurgayYazar, SelamiAppels, RudiBudak, HikmetWheatGenome-wide associationQuantitative trait locus mappingAbiotic-stress toleranceGenomic selectionQTL cloningDisease resistanceCRISPR/Cas9Supplementary S1: Yield and related traits in bread wheat. Table S1: Examples of genomic regions, candidate and cloned genes for yield and related traits in bread wheat. Supplementary S2: Drought tolerance. Table S2: Examples of genomic regions and candidate genes for drought tolerance. Supplementary S3: Heat tolerance. Table S3. Examples of genomic regions and candidate genes for heat tolerance. Supplementary S4: salinity tolerance in bread wheat. Table S4. Examples of genomic regions and candidate genes for salinity tolerance in bread wheat. Supplementary S5: Frost tolerance. Supplementary S6: Disease resistance. Table S5. Examples of genomic regions, candidate and cloned genes mapped for disease resistance in wheat species. Supplementary S7 insect and mite resistance. Table S6. Examples of genomic regions and candidate genes mapped for insect and mite resistance. Supplementary S8: Quality traits. Table S7. Examples of genomic regions, candidate and cloned genes for quality traits.Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public–private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence.Peer reviewedFigshareConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1application/mswordhttp://hdl.handle.net/10261/330913reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésHussain, Babar; Akpınar, Bala Anı; Alaux, Michael; Algharib, Ahmed M.; Sehgal, Deepmala; Ali, Zulfiqar; Aradottir, Gudbjorg I.; Batley, Jacqueline; Bellec, Arnaud; Bentley, Alison R.; Cagirici, Halise B.; Cattivelli, Luigi; Choulet, Fred; Cockram, James; Desiderio, Francesca; Devaux, Pierre; Dogramaci, Munevver; Dorado, Gabriel; Dreisigacker, Susanne; Edwards, David; El-Hassouni, Khaoula; Eversole, Kellye; Fahima, Tzion; Figueroa, Melania; Gálvez, Sergio; Gill, Kulvinder S.; Govta, Liubov; Gul, Alvina; Hensel, Goetz; Hernández Rodríguez, Pilar; Crespo-Herrera, Leonardo Abdiel; Ibrahim, Amir; Kilian, Benjamin; Korzun, Viktor; Krugman, Tamar; Li, Yinghui; Liu, Shuyu; Mahmoud, Amer F.; Morgounov, Alexey; Muslu, Tugdem; Naseer, Faiza; Ordon, Frank; Paux, Etienne; Perovic, Dragan; Reddy, Gadi V. P.; Reif, Jochen C.; Reynolds, Matthew; Roychowdhury, Rajib; Rudd, Jackie; Sen, Taner Z.; Sukumaran, Sivakumar; Özdemir, Bahar Soğutmaz; Tiwari, Vijay Kumar; Ullah, Naimat; Unver, Turgay; Yazar, Selami; Appels, Rudi; Budak, Hikmet. Capturing Wheat Phenotypes at the Genome Level. https://doi.org/10.3389/fpls.2022.851079 . http://hdl.handle.net/10261/286919https://doi.org/10.3389/fpls.2022.851079.s001Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3309132026-05-22T06:33:51Z |
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