COMPUTING GENETIC SIMILARITY COEFFICIENTS FROM RAPD DATA - THE EFFECTS OF PCR ARTIFACTS

Authors
Citation
Wf. Lamboy, COMPUTING GENETIC SIMILARITY COEFFICIENTS FROM RAPD DATA - THE EFFECTS OF PCR ARTIFACTS, PCR methods and applications, 4(1), 1994, pp. 31-37
Citations number
30
Categorie Soggetti
Biothechnology & Applied Migrobiology",Biology
ISSN journal
10549803
Volume
4
Issue
1
Year of publication
1994
Pages
31 - 37
Database
ISI
SICI code
1054-9803(1994)4:1<31:CGSCFR>2.0.ZU;2-7
Abstract
Random amplified polymorphic DNA (RAPD) markers have been used for man y types of genetic analyses, including genome mapping, genotype finger printing, phylogeny reconstruction, and measuring genetic similarities . They suffer from one potential limitation, however, because the PCR that is used to produce informative amplification products often produ ces artifactual products as well. Optimization of PCR protocols to eli minate artifactual bands completely is often too costly or too time-co nsuming to be practical. Other methods for handling RAPD artifacts, su ch as deleting inconsistent or faint bands or using only those bands t hat are reproducible, introduce false negatives into the data. Simply ignoring artifacts and using all bands Introduces false positives. Whe n RAPD data are used to compute genetic similarity coefficients, such artifacts can cause significant bias In the estimation. The three coef ficients most widely used with RAPD data, the simple matching coeffici ent, Jaccard's coefficient and Nei and Li's coefficient, differ in the amount of bias produced by a given level of artifactual bands. The si mple matching coefficient and Nei and Li's coefficient always exhibit less percent bias than Jaccard's coefficient. For closely related orga nisms, Nei and Li's coefficient displays less percent bias than the si mple matching coefficient. if new DNA samples possessing RAPD markers not present in the previously analyzed samples are added to a study, v alues of the simple matching coefficient will need to be computed for all samples, not just the new ones. Jaccard's and Nei and Li's coeffic ients, however, will not need to be recomputed. Furthermore, only Nei and Li's coefficient has a direct biological meaning (it Is an estimat e of the expected proportion of amplified fragments shared by two samp les because they were inherited from a common ancestor). On the basis of these results, Nei and Li's coefficient Is recommended for routine computation of genetic similarities using RAPD data, particularly if P CR artifacts are present.