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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A chemical genetic roadmap to improved tomato flavor

Open access
Tieman, Denise, Zhu, Guangtao, Resende, Marcio F. R., Lin, Tao, Nguyen, Cuong, Bies, Dawn, Rambla, Jose Luis, Beltran, Kristty Stephanie Ortiz, Taylor, Mark, Zhang, Bo, Ikeda, Hiroki, Liu, Zhongyuan, Fisher, Josef, Zemach, Itay, Monforte, Antonio, Zamir, Dani, Granell, Antonio, Kirst, Matias, Huang, Sanwen, Klee, Harry·2017·Science

Abstract

Looking for lost flavor in tomatoes: Commercially available tomatoes are renowned these days for sturdiness, but perhaps not for flavor. Heirloom varieties, on the other hand, maintain the richer flavors and sweeter tomatoes of years past. Tieman et al.combined tasting panels with chemical and genomic analyses of nearly 400 varieties of tomatoes. They identified some of the flavorful components that have been lost over time. Identification of the genes that have also gone missing provides a path forward for reinstating flavor to commercially grown tomatoes. Science, this issue p.391

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Metadata

Authors
Tieman, D., Zhu, G., Resende, M. F. R., Lin, T., Nguyen, C., Bies, D., Rambla, J. L., Beltran, K. S. O., Taylor, M., Zhang, B., Ikeda, H., Liu, Z., Fisher, J., Zemach, I., Monforte, A., Zamir, D., Granell, A., Kirst, M., Huang, S., & Klee, H.
Venue
Science
Published
2017-01-27
Volume
355
Issue
6323
Pages
391-394
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2581576044
Cited by
860
References
5
FWCI
38.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A chemical genetic roadmap to improved tomato flavor. https://app.cochat.ai/papers/10.1126/science.aal1556
The paper
Tieman, D., Zhu, G., Resende, M. F. R., Lin, T., Nguyen, C., Bies, D., Rambla, J. L., Beltran, K. S. O., Taylor, M., Zhang, B., Ikeda, H., Liu, Z., Fisher, J., Zemach, I., Monforte, A., Zamir, D., Granell, A., Kirst, M., Huang, S., & Klee, H. (2017). A chemical genetic roadmap to improved tomato flavor. Science. https://doi.org/10.1126/science.aal1556

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.