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Cited by 1,719

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

Mitochondrial Evolution

Gray, Michael W., Burger, Gertraud, Lang, B. Franz·1999·Science

Abstract

The serial endosymbiosis theory is a favored model for explaining the origin of mitochondria, a defining event in the evolution of eukaryotic cells. As usually described, this theory posits that mitochondria are the direct descendants of a bacterial endosymbiont that became established at an early stage in a nucleus-containing (but amitochondriate) host cell. Gene sequence data strongly support a monophyletic origin of the mitochondrion from a eubacterial ancestor shared with a subgroup of the α-Proteobacteria. However, recent studies of unicellular eukaryotes (protists), some of them little known, have provided insights that challenge the traditional serial endosymbiosis–based view of how the eukaryotic cell and its mitochondrion came to be. These data indicate that the mitochondrion arose in a common ancestor of all extant eukaryotes and raise the possibility that this organelle originated at essentially the same time as the nuclear component of the eukaryotic cell rather than in a separate, subsequent event.

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Crossref · 10.1126/science.283.5407.1476

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Metadata

Authors
Gray, M. W., Burger, G., & Lang, B. F.
Venue
Science
Published
1999-03-05
Volume
283
Issue
5407
Pages
1476-1481
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W4242123597
Cited by
1,719
References
7
FWCI
20.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mitochondrial Evolution. https://app.cochat.ai/papers/10.1126/science.283.5407.1476
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Gray, M. W., Burger, G., & Lang, B. F. (1999). Mitochondrial Evolution. Science. https://doi.org/10.1126/science.283.5407.1476

Data sources

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.