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The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening

Open access
Shinozaki, Yoshihito, Nicolas, Philippe, Fernandez-Pozo, Noe, Ma, Qiyue, Evanich, Daniel J., Shi, Yanna, Xu, Yimin, Zheng, Yi, Snyder, Stephen I., Martin, Laetitia B. B., Ruiz-May, Eliel, Thannhauser, Theodore W., Chen, Kunsong, Domozych, David S., Catalá, Carmen, Fei, Zhangjun, Mueller, Lukas A., Giovannoni, James J., Rose, Jocelyn K. C.·2018·Nature Communications

Abstract

Tomato (Solanum lycopersicum) is an established model for studying fruit biology; however, most studies of tomato fruit growth and ripening are based on homogenized pericarp, and do not consider the internal tissues, or the expression signatures of individual cell and tissue types. We present a spatiotemporally resolved transcriptome analysis of tomato fruit ontogeny, using laser microdissection (LM) or hand dissection coupled with RNA-Seq analysis. Regulatory and structural gene networks, including families of transcription factors and hormone synthesis and signaling pathways, are defined across tissue and developmental spectra. The ripening program is revealed as comprising gradients of gene expression, initiating in internal tissues then radiating outward, and basipetally along a latitudinal axis. We also identify spatial variations in the patterns of epigenetic control superimposed on ripening gradients. Functional studies elucidate previously masked regulatory phenomena and relationships, including those associated with fruit quality traits, such as texture, color, aroma, and metabolite profiles.

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Metadata

Authors
Shinozaki, Y., Nicolas, P., Fernandez-Pozo, N., Ma, Q., Evanich, D. J., Shi, Y., Xu, Y., Zheng, Y., Snyder, S. I., Martin, L. B. B., Ruiz-May, E., Thannhauser, T. W., Chen, K., Domozych, D. S., Catalá, C., Fei, Z., Mueller, L. A., Giovannoni, J. J., & Rose, J. K. C.
Venue
Nature Communications
Published
2018-01-25
Volume
9
Issue
1
Pages
364-364
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2794820198
Cited by
391
References
73
FWCI
33.78
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening. https://app.cochat.ai/papers/10.1038/s41467-017-02782-9
The paper
Shinozaki, Y., Nicolas, P., Fernandez-Pozo, N., Ma, Q., Evanich, D. J., Shi, Y., Xu, Y., Zheng, Y., Snyder, S. I., Martin, L. B. B., Ruiz-May, E., Thannhauser, T. W., Chen, K., Domozych, D. S., Catalá, C., Fei, Z., Mueller, L. A., Giovannoni, J. J., & Rose, J. K. C. (2018). High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening. Nature Communications. https://doi.org/10.1038/s41467-017-02782-9

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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.