The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Short, Long, and Beyond: Molecular and Embryological Approaches to Insect Segmentation
Abstract
▪ Abstract Over the past dozen years, studies comparing the expression of orthologues of the Drosophila segmentation genes among various insects have served to broaden our view of the ways in which insects make segments. The molecular data suggest that, although the overall genetic mechanisms of segmentation during embryogenesis have been conserved, the details of this process vary both within and between various insect orders. Here we summarize comparative gene expression data relevant to segmentation with an emphasis on understanding the extent of molecular patterning prior to gastrulation. These results are discussed in embryological context with an eye toward understanding the evolution of segmentation within insects.
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Citations
Cites
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Cited by
Niehrs, C. (2010) · Development · doi:10.1242/dev.039651 · Cited by 283
Involvement of Notch and Delta genes in spider segmentation
Stollewerk, A., Schoppmeier, M., & Damen, W. G. M. (2003) · Nature · doi:10.1038/nature01682 · Cited by 272
Dynamical Analysis of Regulatory Interactions in the Gap Gene System of Drosophila melanogaster
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Functional Shifts in Insect microRNA Evolution
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Metadata
- Authors
- Davis, G. K., & Patel, N. H.
- Venue
- Annual Review of Entomology
- Publisher
- Annual Reviews
- Published
- 2002-01
- Volume
- 47
- Issue
- 1
- Pages
- 669-699
- ISSN
- 0066-4170 (ISSN-L)
- 1545-4487
- OpenAlex
- W2167415035
- Cited by
- 317
- References
- 73
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Davis, G. K., & Patel, N. H. (2002). Short, Long, and Beyond: Molecular and Embryological Approaches to Insect Segmentation. Annual Review of Entomology. https://doi.org/10.1146/annurev.ento.47.091201.145251
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
