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Cited by 585

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Origins of Prokaryotes, Eukaryotes, Mitochondria, and Chloroplasts: A perspective is derived from protein and nucleic acid sequence data.

Schwartz, Robert M., Dayhoff, Margaret O.·1978·Science

Abstract

A computer branching model is used to analyze cellular evolution. Attention is given to certain key amino acids and nucleotide residues (ferredoxin, 5s ribosomal RNA, and c-type cytochromes) because of their commonality over a wide variety of cell types. Each amino acid or nucleotide residue is a sequence in an inherited biological trait; and the branching method is employed to align sequences so that changes reflect substitution of one residue for another. Based on the computer analysis, the symbiotic theory of cellular evolution is considered the most probable. This theory holds that organelles, e.g., mitochondria and chloroplasts invaded larger bodies, e.g., bacteria, and combined functions to form eucaryotic cells.

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Metadata

Authors
Schwartz, R. M., & Dayhoff, M. O.
Venue
Science
Published
1978-01-27
Volume
199
Issue
4327
Pages
395-403
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2007945450
Cited by
585
References
4
FWCI
18.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Origins of Prokaryotes, Eukaryotes, Mitochondria, and Chloroplasts: A perspective is derived from protein and nucleic acid sequence data. https://app.cochat.ai/papers/10.1126/science.202030
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Schwartz, R. M., & Dayhoff, M. O. (1978). Origins of Prokaryotes, Eukaryotes, Mitochondria, and Chloroplasts: A perspective is derived from protein and nucleic acid sequence data. Science. https://doi.org/10.1126/science.202030

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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.