The Aegilops ventricosa 2NvS segment in bread wheat: cytology, genomics and breeding

Liangliang Gao, Dal Hoe Koo, Philomin Juliana, Trevor Rife, Daljit Singh, Cristiano Lemes da Silva, Thomas Lux, Kevin M. Dorn, Marshall Clinesmith, Paula Silva, Xu Wang, Manuel Spannagl, Cecile Monat, Bernd Friebe, Burkhard Steuernagel, Gary J. Muehlbauer, Sean Walkowiak, Curtis Pozniak, Ravi Singh, Nils SteinMartin Mascher, Allan Fritz, Jesse Poland

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Abstract

Key message: The first cytological characterization of the 2NvS segment in hexaploid wheat; complete de novo assembly and annotation of 2NvS segment; 2NvS frequency is increasing 2NvS and is associated with higher yield. Abstract: The Aegilops ventricosa 2NvS 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 2NvS 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 2NvS 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 2NvS among spring and winter wheat breeding programs over two and a half decades, and the positive impact of 2NvS on wheat grain yield based on historical datasets. The significance of the 2NvS 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.

Original languageEnglish (US)
Pages (from-to)529-542
Number of pages14
JournalTheoretical and Applied Genetics
Volume134
Issue number2
DOIs
StatePublished - Feb 2021

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. (1339389) and by Feed the Future through the US Agency for International Development, under the terms of Contract No AID-OAA-A-13-00051. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the US Agency for International Development. This paper is contribution number 21-034-J from the Kansas Agricultural Experiment Station, Kansas State University, Manhattan, KS 66506-5502. The authors thank Dr. Barbara Valent (KSU) for reviewing and commenting on an earlier draft of this paper. The authors also wish to thank Lynn Johnson, Peter Bradbury and Terry Casstevens from Dr. Ed Buckler lab (Cornell) for thoughtful discussions on TASSEL GetTagTaxaDistFromDBPlugin, and incorporating new functionality into it. The authors thank the Wheat 10+ Genome consortium team members for productive communications and pre-publication data sharing.?Technical assistances in plants and?DNA from Shuangye Wu (KSU), and data repository from Josiah Altshuler and Sandesh Shrestha?(KSU) are also greatly appreciated.

Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. (1339389) and by Feed the Future through the US Agency for International Development, under the terms of Contract No AID-OAA-A-13-00051. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the US Agency for International Development. This paper is contribution number 21-034-J from the Kansas Agricultural Experiment Station, Kansas State University, Manhattan, KS 66506-5502. The authors thank Dr. Barbara Valent (KSU) for reviewing and commenting on an earlier draft of this paper. The authors also wish to thank Lynn Johnson, Peter Bradbury and Terry Casstevens from Dr. Ed Buckler lab (Cornell) for thoughtful discussions on TASSEL GetTagTaxaDistFromDBPlugin, and incorporating new functionality into it. The authors thank the Wheat 10+ Genome consortium team members for productive communications and pre-publication data sharing. Technical assistances in plants and DNA from Shuangye Wu (KSU), and data repository from Josiah Altshuler and Sandesh Shrestha (KSU) are also greatly appreciated.

Publisher Copyright:
© 2020, The Author(s).

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