If you like to stay current, you can’t simultaneously juggle all the elements that make up the news of the world. I follow politics, the arts, memoir and European history, with a minor in Spanish novelists, British comedy and American popular culture. My husband does economics, the history of the English language, meat-based cuisine, the novels of Graham Greene and soccer. The children have assigned themselves music, American fiction, social media and legal issues.I still love reading her columns in spite of her obvious deficiency!
Religion sits on the kitchen table, orphaned.
A strange evolution?
Evolution not only brings about ‘improvements’ in body shapes and design that help a species adapt better to its surroundings. It also allows some species to remain basically the same.
‘These creatures tell us that evolution does not move inevitably forwards towards new morphology and new designs,' comments Fortey.
'Evidence for evolution is also found in past designs that endure to the present day. As long as the right habitat endures, then so will some of the creatures that inhabited the distant past.
Alkan C, Coe BP, Eichler EE. (2011) Genome structural variation discovery and genotyping. Nat Rev Genet. 12:363-376. [PubMed]
Britton, R.J. (2002) Divergence between samples of chimpanzee and human DNA sequences if 5%, counting indels. Proc. Natl. Acad. Sci. (USA) 99:13633-13636.
Campbell, C.D., Sampas, N., Tsalenko, A., Sudmant, P.H., Kidd, J.M., Malig, M., Vu, T.H., Vives, L., Tsang, P., Bruhn, L., and Eichler, E.E. (2011) Population-genetic properties of differentiated human copy-number polymorphisms. Am J Hum Genet. 88:317-32. [PubMed]
Marques-Bonet, T., Ryder, O.A., and Eichler, E.E. (2009) Sequencing primate genomes: what have we learned? Annu. Rev. Genomics Hum. Genet. 10:355-386. [PubMed]
Lynch, M. (2010) Rate, molecular spectrum, and consequences of human mutation. Proc. Natl. Acad. Sci. (USA) 107:961-968. [PubMed]
Polavarapu, N., Arora, G., Mittal, V.K., McDonald, J.F. (2011) Characterization and potential functional significance of human-chimpanzee large INDEL variation. Mob. DNA 2:13. [PubMed] [doi:10.1186/1759-8753-2-13]
I regret the error in citation (the journal name was given as Nature, rather than Science), which crept in among the 462 references of the review (1) to which Winter, Walsh, and Neurath take exception (Letters, 27 Dec.). In that review, the term homologous was taken to imply, in parallel to universal biological usage, "that the genes coding for the polypeptide chains considered, in all the species carrying these proteins, had at one time a common ancestral gene," and we stated that when this concept is not intended "it would be best to use any of the numerous synonyms of 'similar' and 'similarity' and not appear to be prejudging the issue of evolutionary relations." The "pointed and specific criticism" followed, and was entirely contained in the sentence: "Other definitions may cause confusion and are unlikely to supplant well established biological usages." The "other definitions" referred to the article by Neurath, Walsh, and Winter (2), in which they state, "The term homology as applied to proteins refers to similarity in amino acid sequence," and later, that comparisons of protein structures "must be interpreted on a statistical basis lest we misinterpret random similarities."
On this last score there is no argument. Winter, Walsh, and Neurath will surely agree that in this field erroneous conclusions are likely to arise from the lack of an appropriate statistical distinction between random similarities and similarities of structure greater than can result from random phenomena. An excellent method of performing just such a distinction was published by Fitch (3), and although Neurath, Walsh, and Winter acknowledge it in their article (2), they do not use any acceptable statistical techniques in their comparisons of proteases. Thus, even by their own definition they fail to show "homology."
Homology, in any biological evolutionary context has a generally understood and well-defined meaning, namely the one we have adopted for use in protein primary structure comparisons. One cannot argue that such comparisons represent an area of knowledge separate from evolutionary biology, and that therefore one may use the same words for other meanings, since such protein studies obtain their interest largely in terms of evolutionary concepts and have their major impact in the taxonomic-evolutionary field. Winter, Walsh, and Neurath justify their novel definition of "homology" by maintaining that, without fossil remains, it is not possible to decide whether the structural genes corresponding to a set of present-day proteins are or are not ancestrally related. Apart from the inherent danger of assuming that a problem is insoluble, it may be pointed out that six pages after the definition of "homology," the paper (1) reviewed a statistical method for demonstrating just such ancestral homology. One requires enough primary structures to derive a "statistical phylogenetic tree," as has been possible in the case of cytochrome c (4). From such a tree a simple statistical calculation permits one to approximate the number of residues in a set of proteins that will remain invariant, because of biological necessity, no matter how many species are examined (5). If, in the comparison of any two proteins of this set, the number of identical residues is substantially in excess of the number that remain invariant in the entire set of proteins, then clearly this excess cannot result from functional convergence from different phylogenetic origins, a process yielding analogous structures, and, therefore, it can only be attributed to ancestral homology. In such a procedure, the assumption of the constancy of the genetic code has replaced the fossils of the morphological evolutionist.
Even if one does not accept the validity of such a demonstration, it is difficult to understand why there is an insistence on using the word "homology" for "similarities of protein primary structure greater than random." Any of the over 30 synonyms of "similarity" (6) or a variety of elegant neologisms would do, and prevent an insidious misunderstanding likely to arise in biological literature. Rather than take Alice in her confused trip in Wonderland as a model for logical scientific nomenclature, I prefer to follow the 17th-century poet reacting against a form of debasement of the language then prevalent, and "call a cat a cat" (7).
E. MARGOLIASH
Department of Molecular Biology,
Abbott Laboratories,
North Chicago, Illinois 60064
References
1. C. Nolan and E. Margoliash, Ann. Rev. Biochem. 37, 727 (1968).
2. H. Neurath, K. A. Walsh, W. P. Winter, Science 158, 1638 (1967).
3. W. M. Fitch, J. Mol. Biol. 16, 9 (1966).
4. W. M. Fitch and E. Margoliash, Science 155, 279 (1967).
5. W. M. Fitch and E. Margoliash, Biochem. Genet. 1, 65 (1967).
6. Roget's Thesaurus (St. Martin's Press, New York, 1965).
7. N. Boileau, Satires 1, line 52 (1660). "J'appelle un chat un chat, et Rolet un fripon."
1. Very few people pay attention to me. I appear to be fighting for a lost cause.
Margoliash, E. (1969) Homology: A Definition. Science 163:127
The complexity of creating two sequential or simultaneous mutations that would confer improved survival has been studied in the malaria parasite when exposed to chloroquine. The actual incidence of two base-pair mutations leading to two changed amino acids leading to resistance has been shown to be 1 in 1020 cases (42). To better understand this incidence, the likelihood that Homo sapiens would achieve any single mutation of the kind required for malaria to become resistant to chloroquine (a simple shift of two amino acids) would be 100 million times 10 million years (many times the age of the universe). This example has been used to further explain the difficulty in managing more than one mutation to achieve benefit.The reference is to The Edge of Evolution by Michael Behe. His book was published in 2007 but I never got around to reviewing it thoroughly—partly because it's so difficult to explain where he goes wrong.1 Here's my take on one part of the book: The Two Binding Sites Rule. This post covers "chloroquine-complexity clusters" (CCC).
