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Migration rates of human populations from surname distributions.

Migration is an important factor in the biological evolution of human populations, and surnames provide one of the simplest records of identification. The distribution of surnames can supply quantitative information on the structure of human populations. Surnames considered as alleles of a gene transmitted only by the male line can be assumed to be neutral markers and therefore satisfy the expectations of the neutral theory of evolution, which is entirely described by random genetic drift, mutation and migration. As data on surnames are easier to collect than those from genes, the information yield is potentially increased, but the validity of the conclusions must be tested in actual samples. The purpose of this report is to compare the estimates of migration rates in Italy, as inferred by the surname distribution found in the telephone directories and other sources, with the corresponding estimates from official demographic sources. Our findings show that in these samples the ratio of surnames to individuals makes it possible to calculate reliable estimates of migration rates.

Genetics, Population↗
PubMed1988

A subfamily of stress proteins facilitates translocation of secretory and mitochondrial precursor polypeptides.

Depletion of a subset of 70K stress proteins in yeast mutants shows that they are involved in the post-translational import of precursor polypeptides into both mitochondria and the lumen of the endoplasmic reticulum. The identification of such a basic function may explain the remarkable evolutionary conservation of the gene family encoding these proteins.

Biological Evolution↗
PubMed2000

Predictive accuracy of population viability analysis in conservation biology.

Population viability analysis (PVA) is widely applied in conservation biology to predict extinction risks for threatened species and to compare alternative options for their management. It can also be used as a basis for listing species as endangered under World Conservation Union criteria. However, there is considerable scepticism regarding the predictive accuracy of PVA, mainly because of a lack of validation in real systems. Here we conducted a retrospective test of PVA based on 21 long-term ecological studies--the first comprehensive and replicated evaluation of the predictive powers of PVA. Parameters were estimated from the first half of each data set and the second half was used to evaluate the performance of the model. Contrary to recent criticisms, we found that PVA predictions were surprisingly accurate. The risk of population decline closely matched observed outcomes, there was no significant bias, and population size projections did not differ significantly from reality. Furthermore, the predictions of the five PVA software packages were highly concordant. We conclude that PVA is a valid and sufficiently accurate tool for categorizing and managing endangered species.

Animals↗
PubMed2001

Accessing genetic variation: genotyping single nucleotide polymorphisms.

Understanding the relationship between genetic variation and biological function on a genomic scale is expected to provide fundamental new insights into the biology, evolution and pathophysiology of humans and other species. The hope that single nucleotide polymorphisms (SNPs) will allow genes that underlie complex disease to be identified, together with progress in identifying large sets of SNPs, are the driving forces behind intense efforts to establish the technology for large-scale analysis of SNPs. New genotyping methods that are high throughput, accurate and cheap are urgently needed for gaining full access to the abundant genetic variation of organisms.

Alleles↗