Correction: The population genetics of human disease: The case of recessive, lethal mutations.

[This corrects the article DOI: 10.1371/journal.pgen.1006915.].

The population genetics of human disease: The case of recessive, lethal mutations.

Do the frequencies of disease mutations in human populations reflect a simple balance between mutation and purifying selection? What other factors shape the prevalence of disease mutations? To begin to answer these questions, we focused on one of the simplest cases: recessive mutations that alone cause lethal diseases or complete sterility. To this end, we generated a hand-curated set of 417 Mendelian mutations in 32 genes reported to cause a recessive, lethal Mendelian disease. We then considered analytic models of mutation-selection balance in infinite and finite populations of constant sizes and simulations of purifying selection in a more realistic demographic setting, and tested how well these models fit allele frequencies estimated from 33,370 individuals of European ancestry. In doing so, we distinguished between CpG transitions, which occur at a substantially elevated rate, and three other mutation types. Intriguingly, the observed frequency for CpG transitions is slightly higher than expectation but close, whereas the frequencies observed for the three other mutation types are an order of magnitude higher than expected, with a bigger deviation from expectation seen for less mutable types. This discrepancy is even larger when subtle fitness effects in heterozygotes or lethal compound heterozygotes are taken into account. In principle, higher than expected frequencies of disease mutations could be due to widespread errors in reporting causal variants, compensation by other mutations, or balancing selection. It is unclear why these factors would have a greater impact on disease mutations that occur at lower rates, however. We argue instead that the unexpectedly high frequency of disease mutations and the relationship to the mutation rate likely reflect an ascertainment bias: of all the mutations that cause recessive lethal diseases, those that by chance have reached higher frequencies are more likely to have been identified and thus to have been included in this study. Beyond the specific application, this study highlights the parameters likely to be important in shaping the frequencies of Mendelian disease alleles.

A re-annotation of the Anopheles darlingi mobilome.

The mobilome, portion of the genome composed of transposable elements (TEs), of Anopheles darlingi was described together with the genome of this species. Here, this mobilome was revised using similarity and de novo search approaches. A total of 5.6% of the A. darlingi genome is derived of TEs. Class I gypsy and copia were the most abundant superfamilies, corresponding to 22.36% of the mobilome. Non-LTR elements of the R1 and Jockey superfamilies account for 11% of the TEs. Among Class II TEs, the mariner superfamily is the most abundant (16.01%). Approximately 87% of the A. darlingi mobilome consist of short, truncated and/or degenerated copies of TEs. Only three retrotransposons, two belonging to gypsy and one to copia superfamilies, are putatively active elements. Only one Class II element, belonging to the mariner superfamily, is putatively active, having 12 copies in the genome. The TE landscape of A. darlingi is formed primarily by degenerated elements and, therefore, somewhat stable. Future applications of TE-based vectors for genetic transformation of A. darlingi should take into consideration mariner and piggyBac transposons, because full length and putatively active copies of these elements are present in its genome.

De novo transcriptome assembly of the lobster cockroach Nauphoeta cinerea (Blaberidae).

The use of Drosophila as a scientific model is well established, but the use of cockroaches as experimental organisms has been increasing, mainly in toxicology research. Nauphoeta cinerea is one of the species that has been studied, and among its advantages is its easy laboratory maintenance. However, a limited amount of genetic data about N. cinerea is available, impeding gene identification and expression analyses, genetic manipulation, and a deeper understanding of its functional biology. Here we describe the N. cinerea fat body and head transcriptome, in order to provide a database of genetic sequences to better understand the metabolic role of these tissues, and describe detoxification and stress response genes. After removing low-quality sequences, we obtained 62,121 transcripts, of which more than 50% had a length of 604 pb. The assembled sequences were annotated according to their genes ontology (GO). We identified 367 genes related to stress and detoxification; among these, the more frequent were p450 genes. The results presented here are the first large-scale sequencing of N. cinerea and will facilitate the genetic understanding of the species' biochemistry processes in future works.