The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Evolution Of Animal Mitochondrial Dna: Relevance For Population Biology And Systematics
Abstract
In the past decade, mitochondrial DNA (mtDNA) analysis has become established as a powerful tool for evolutionary studies of animals. These studies, recently reviewed by Avise (8) and Wilson et al (149), have used mtDNA analyses to provide insights into population structure and gene flow, hybridization, biogeography, and phylogenetic relationships. Major advances have been made in our understanding of the molecular biology of animal mtDNA (reviewed in 7, 28). A powerful synergism exists between the two fields of research: Evolutionary studies provide comparative data on mtDNA organization and function, and molecular investigations can, and should, improve the level of sophistication of evolutionary studies that use mtDNA. Here we focus on molecular aspects of animal mtDNA that are especially relevant to its use in evolutionary studies. Thus, we consider the form and frequency of three types of change in mtDNA: base substitution, length variation, and sequence rearrangement. Attention is also given to the nature and possible consequences of interactions between nuclear and mitochondrial (mt) genes. In the concluding sections, we discuss the way in which the knowledge of molecular processes allows informed use of mtDNA variation in evolutionary studies. Only animal mtDNAs are considered. The molecular biology and evolution of chloroplast DNA and nonmetazoan mtDNAs have been reviewed elsewhere (41, 66, 111, 121, 123).
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Cites
Dating of the human–ape splitting by a molecular clock of mitochondrial DNA.
Hasegawa, M., Kishino, H., & Yano, T.-A. (1985) · Journal of Molecular Evolution · doi:10.1007/bf02101694 · Cited by 8,687
Mitochondrial DNA and human evolution
Cann, R. L., Stoneking, M., & Wilson, A. C. (1987) · Nature · doi:10.1038/325031a0 · Cited by 3,100
Anderson, S., de Bruijn, M. H. L., Coulson, A. R., Eperon, I. C., Sanger, F., & Young, I. G. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90137-1 · Cited by 1,472
Frameshift Mutations and the Genetic Code
Streisinger, G., Okada, Y., Emrich, J., Newton, J., Tsugita, A., Terzaghi, E., & Inouye, M. (1966) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1966.031.01.014 · Cited by 1,400
Model of effectively neutral mutations in which selective constraint is incorporated
Kimura, M. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.7.3440 · Cited by 254
(1986) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040379 · Cited by 210
Self-citation
Cited by
tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes
Chan, P. P., Lin, B. Y., Mak, A. J., & Lowe, T. M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab688 · Cited by 1,925
Mother species–father species: unidirectional hybridization in animals with female choice
Wirtz, P. (1999) · Animal Behaviour · doi:10.1006/anbe.1999.1144 · Cited by 451
Sequence evolution of mitochondrial tRNA genes and deep-branch animal phylogenetics
Kumazawa, Y., & Nishida, M. (1993) · Journal of Molecular Evolution · doi:10.1007/bf00178868 · Cited by 373
The Units of Selection on Mitochondrial DNA
Rand, D. M. (2001) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.32.081501.114109 · Cited by 359
Huang, D., Meier, R., Todd, P. A., & Chou, L. M. (2008) · Journal of Molecular Evolution · doi:10.1007/s00239-008-9069-5 · Cited by 320
Metadata
- Authors
- Moritz, C.
- Venue
- Annual Review of Ecology and Systematics
- Publisher
- Annual Reviews
- Published
- 1987-01-01
- Volume
- 18
- Issue
- 1
- Pages
- 269-292
- ISSN
- 0066-4162 (ISSN-L)
- OpenAlex
- W2167252044
- Cited by
- 1,566
- References
- 6
- FWCI
- 16.74
- Type
- journal article
- Language
- en
- Open access
- closed
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