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Cited by 234

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Ribosomal RNA In Vertebrates: Evolution And Phylogenetic Applications

Mindell, D.·1990·Annual Review of Ecology and Systematics

Abstract

Many evolutionary biologists seek to learn about genealogy among life forms. Toward this end, researchers have sought out informative systems or characters from fields as disparate as behavior, morphology, physiology, biogeography, and molecular genetics. DNA sequences in particular appear promising for resolving evolutionary questions, due in part to the fact that they constitute the physical material of inheritance in its most particulate form. However, the promise of DNA rests on the assumption that historical change in nucleotide sequences can be inferred unambiguously from sequences of extant (or recently extinct) forms, and this task remains as a challenge. It is important to recognize that the pursuits of molecular systematics (history of descent among organisms) and molecular evolution (history of change among and within molecules) are mutually informing. Molecular systematic studies have been instrumental in studies of molecular evolution because patterns of sequence change over thousands and millions of years can be inferred only by comparing sequences among taxa whose divergences span

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Metadata

Authors
Mindell, D.
Venue
Annual Review of Ecology and Systematics
Published
1990-01-01
Volume
21
Issue
1
Pages
541-566
ISSN
0066-4162 (ISSN-L)
OpenAlex
W2175312645
Cited by
234
References
7
FWCI
3.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ribosomal RNA In Vertebrates: Evolution And Phylogenetic Applications. https://app.cochat.ai/papers/10.1146/annurev.ecolsys.21.1.541
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Mindell, D. (1990). Ribosomal RNA In Vertebrates: Evolution And Phylogenetic Applications. Annual Review of Ecology and Systematics. https://doi.org/10.1146/annurev.ecolsys.21.1.541

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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.