Better explicating the strengths and shortcomings of these models will help refine projections and improve transparency in the years ahead.
Image credit: Witsawat.S.
Edited by David C. Baulcombe, University of Cambridge, Cambridge, United Kingdom, and approved September 16, 2016 (received for review June 17, 2016)
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- Published October 11, 2016.
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- J. Matthew Watsona,
- Alexander Platzera,
- Anita Kazdaa,
- Svetlana Akimchevaa,
- Sona Valuchovab,
- Viktoria Nizhynskaa,
- Magnus Nordborga, and
- Karel Rihaa,b,1
- aGregor Mendel Institute of Plant Molecular Biology, Austrian Academy of Sciences, Vienna Biocenter, 1030 Vienna, Austria;
- bCentral European Institute of Technology, Masaryk University, 612 65 Brno, Czech Republic
Edited by David C. Baulcombe, University of Cambridge, Cambridge, United Kingdom, and approved September 16, 2016 (received for review June 17, 2016)
Footnotes
- ↵1To whom correspondence should be addressed. Email: karel.riha{at}ceitec.muni.cz.
Author contributions: J.M.W. and K.R. designed research; J.M.W., A.K., S.A., S.V., and V.N. performed research; A.P. contributed new reagents/analytic tools; J.M.W., A.P., A.K., S.A., S.V., M.N., and K.R. analyzed data; and J.M.W. and K.R. wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
Data deposition: The data reported in this paper have been deposited at BioSample (www.ncbi.nlm.nih.gov/sra/?term=SRP041456) under accessions SAMN02737223, SAMN02737224, SAMN02737225, SAMN02737226, SAMN02737227, SAMN02737228, SAMN02737229, SAMN02737230, and SAMN02737231.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1609686113/-/DCSupplemental.
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