Better explicating the strengths and shortcomings of these models will help refine projections and improve transparency in the years ahead.
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Edited by Mark Estelle, University of California San Diego, La Jolla, CA, and approved July 16, 2020 (received for review April 1, 2020)
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- Published in issue September 1, 2020.
- Published first August 17, 2020.
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- Samy Carbonnela,b,1,
- Debatosh Dasa,b,2,
- Kartikye Varshneyb,
- Markus C. Kolodzieja,3,
- José A. Villaécija-Aguilarb, and
- Caroline Gutjahra,b,4
- aGenetics, Faculty of Biology, Ludwig Maximilian University of Munich, 82152 Martinsried, Germany;
- bPlant Genetics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
Edited by Mark Estelle, University of California San Diego, La Jolla, CA, and approved July 16, 2020 (received for review April 1, 2020)
Footnotes
↵1Present address: Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland.
↵2Present address: State Key Laboratory of Agrobiotechnology (Shenzhen Base), Shenzhen Research Institute, The Chinese University of Hong Kong, Nanshan District, 518000 Shenzhen, China.
↵3Present address: Department of Plant and Microbial Biology, University of Zurich, 8008 Zurich, Switzerland.
- ↵4To whom correspondence may be addressed. Email: caroline.gutjahr{at}tum.de.
Author contributions: S.C. and C.G. designed research; S.C., K.V., M.C.K., and J.A.V.-A. performed research; S.C., K.V., J.A.V.-A., and C.G. analyzed data; D.D. analyzed RNA-sequencing data; and S.C. and C.G. wrote the paper.
The authors declare no competing interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2006111117/-/DCSupplemental.
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