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Research Project: Ecologically Sustainable Approaches to Insect Resistance Management in Bt Cotton

Location: Southern Insect Management Research

Title: Capturing wheat phenotypes at the genome level

Author
item HUSSAIN, BABAR - Middle East Technical University
item AKPINAR, BALA - Montana Bioagriculture Inc
item ALAUX, MICHAEL - Université Paris-Saclay
item ALGHARIB, AHMED - Al-Azhar University
item SEHGAL, DEEPMALA - International Maize & Wheat Improvement Center (CIMMYT)
item ALI, ZULFIQAR - Muhammad Nawaz Shareef University Of Agriculture
item ARADOTTIR, GIA - National Institute Of Agricultural Botany (NIAB)
item BATLEY, JACQUELINE - Agricultural University Of Western Australia
item BELLEC, ARNAUD - Institut National De La Recherche Agronomique (INRA)
item BENTLEY, ALISON - International Maize & Wheat Improvement Center (CIMMYT)
item CAGIRICI, HALISE - Orise Fellow
item CATTIVELLI, LUIGI - Crea - Research Centre For Genomics And Bioinformatics
item CHOULET, FRED - French National Institute For Agricultural Research
item COCKRAM, JAMES - National Institute Of Agricultural Botany (NIAB)
item DESIDERIO, FRANCESCA - Crea - Research Centre For Genomics And Bioinformatics
item DEVAUX, PIERRE - Florimond Desprez - France
item Dogramaci, Munevver
item DORADO, GABRIEL - Universidad De Cordoba
item DREISIGACKER, SUSANNE - International Maize & Wheat Improvement Center (CIMMYT)
item EDWARDS, DAVID - University Of Western Australia
item EL-HASSOUNI, KHAOULA - University Of Hohenheim
item EVERSOLE, KELLYE - International Wheat Genome Sequencing Consortium (IWGSC)
item FAHIMA, TZION - University Of Haifa
item FIGUEROA, MELANIA - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item GALVEZ, SERGIO - University Of Malaga
item GILL, KULVINDER - Washington State University
item GOVTA, LIUBOV - University Of Haifa
item GUL, ALVINA - National University Of Sciences And Technology
item HENSEL, GOETZ - Heinrich-Heine University
item HERNANDEZ, PILAR - Consejo Superior De Investigaciones Cientificas (CSIC)
item HERRERA, LEONARDO - International Maize & Wheat Improvement Center (CIMMYT)
item IBRAHIM, AMIR - Texas A&M University
item KILIAN, BENJAMIN - Global Crop Diversity Trust
item KORZUN, VIKTOR - Kws Saat Ag
item KRUGMAN, TAMAR - University Of Haifa
item LI, YINGHUI - University Of Haifa
item LIU, SHUYU - Texas A&M University
item MAHMOUD, AMER - Assiut University
item MORGOUNOV, ALEXEY - Food And Agriculture Organization Of The United Nations (FAO)
item MUSLU, TUGDEM - Sabanci University
item NASEER, FAIZA - National University Of Sciences And Technology
item ORDON, FRANK - Julius Kuhn Institute
item PAUX, ETIENNE - French National Institute For Agricultural Research
item PEROVIC, DRAGAN - Julius Kuhn Institute
item Reddy, Gadi V.P.
item REIF, JOCHEN - Leibniz Institute Of Plant Genetics And Crop Plant Research
item REYNOLDS, MATTHEW - International Maize & Wheat Improvement Center (CIMMYT)
item ROYCHOWDHURY, RAJIB - University Of Haifa
item RUDD, JACKIE - Texas A&M University
item Sen, Taner
item SUKUMARAN, SIVAKUMAR - International Maize & Wheat Improvement Center (CIMMYT)
item OZDEMIR, BAHAR - Yeditepe University
item TIWARI, VIJAY KUMAR - University Of Maryland
item ULLAH, NAIMAT - Institute Of Biological Sciences (IBS)
item UNVER, TURGAY - Ficus Biotechnology
item YAZAR, SELAMI - Ministry Of Agriculture - Turkey
item APPELS, RUDI - La Trobe University
item BUDAK, HIKMET - Montana Bioagriculture Inc

Submitted to: Frontiers in Plant Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/19/2022
Publication Date: 6/4/2022
Citation: Hussain, B., Akpinar, B.A., Alaux, M., Algharib, A.M., Sehgal, D., Ali, Z., Aradottir, G.I., Batley, J., Bellec, A., Bentley, A.R., Cagirici, H.B., Cattivelli, L., Choulet, F., Cockram, J., Desiderio, F., Devaux, P., Dogramaci, M., Dorado, G., Dreisigacker, S., Edwards, D., El-Hassouni, K., Eversole, K., Fahima, T., Figueroa, M., Galvez, S., Gill, K.S., Govta, L., Gul, A., Hensel, G., Hernandez, P., Herrera, L.C., Ibrahim, A., Kilian, B., Korzun, V., Krugman, T., Li, Y., Liu, S., Mahmoud, A.F., Morgounov, A., Muslu, T., Naseer, F., Ordon, F., Paux, E., Perovic, D., Reddy, G.V., Reif, J.C., Reynolds, M., Roychowdhury, R., Rudd, J., Sen, T.Z., Sukumaran, S., Ozdemir, B.S., Tiwari, V., Ullah, N., Unver, T., Yazar, S., Appels, R., Budak, H. 2022. Capturing wheat phenotypes at the genome level. Frontiers in Plant Science. 13. Article 851079. https://doi.org/10.3389/fpls.2022.851079.
DOI: https://doi.org/10.3389/fpls.2022.851079

Interpretive Summary: Wheat (Triticum aestivum L.) is the most important crop for feeding the earth´s growing population and a staple food in many regions of the world. Although wheat breeding targets are numerous and varied across the globe, the principle targets are grain yield, quality determinants and tolerance to biotic and abiotic stresses. Breeding programs often utilize genetic markers to identify the plants with desired traits to accelerate the breeding process. But, the complexity of the wheat genome, which consists of three sub-genomes, makes improving qualitative and quantitative traits through molecular approaches challenging. Efforts to sequence the wheat genome have been extremely time consuming due to its large genome size. Consequently, the efficient exploitation of molecular-assisted breeding approaches has lagged behind that achieved in other crop species. Finally, an international gigantic team effort resulted in the releasing of a gold-standard fully annotated wheat genome assembly in 2018. These advances facilitate a new horizon opportunity for marker-assisted selection and genomic selection in wheat. For example, utilizing genotyping arrays, hundreds of wheat lines can be screened for thousands of genetic markers, providing with fast and reliable data for potential exploitation in wheat breeding. Here, we evaluate the advances and perspectives in wheat genetics and genomics studies and make recommendations on the utilization of genomics for next generation wheat breeding.

Technical Abstract: 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 hexaploid bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, until very recently efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species due to its large polyploidy genome. However, an international public-private effort spanning nine 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 2017. Shortly thereafter, in 2020, the genome of assemblies of an additional fifteen global wheat accessions were released. 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 genotyping 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 a new horizon for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we evaluate 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 enlisted a hundred of reported candidate and cloned genes responsible for the aforesaid 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, (ii) positional cloning methods, and of genomic selection. Finally, we make recommendations on the utilization of genomics for the next-generation wheat breeding and provide a practical example of using the latest, in silico bioinformatics tools that were based on the wheat reference genome sequence.