Biology subjects

Livnat, A.

Publications and source records attributed to Livnat, A..

4 recordsLinked to original sources

bioRxiv2026

An abstract model of nonrandom, non-Lamarckian mutation in evolution using a multivariate estimation-of-distribution algorithm

At the fundamental conceptual level, two alternatives have traditionally been considered for how mutations arise and how evolution happens: 1) random mutation and natural selection, and 2) Lamarckism. Recently, the theory of Interaction-based Evolution (IBE) has been proposed, according to which mutations are neither random nor Lamarckian, but are influenced by information accumulating internally in the genome over generations. Based on the estimation-of-distribution algorithms framework, we present a simulation model that demonstrates nonrandom, non-Lamarckian mutation concretely while capturing indirectly several aspects of IBE: selection, recombination, and nonrandom, non-Lamarckian mutation interact in a complementary fashion; evolution is driven by the interaction of parsimony and fit; and random bits do not directly encode improvement but enable generalization by the manner in which they connect with the rest of the evolutionary process. Connections are drawn to Darwins observations that changed conditions increase the rate of production of heritable variation; to the causes of bell-shaped distributions of traits and how these distributions respond to selection; and to computational learning theory, where analogizing evolution to learning in accord with IBE casts individuals as examples and places the learned hypothesis at the population level. The model highlights the importance of incorporating internal integration of information through heritable change in both evolutionary theory and evolutionary computation.

evolutionary biology↗

bioRxiv2024

De novo rates of a Trypanosoma-resistant mutation in two human populations

Until recently, mutation rates have only been measured as averages across many genomic positions. Recently, a method to measure mutation rates at the single-mutation resolution was applied to a narrow region in the human hemoglobin subunit beta (HBB) gene containing the site of the hemoglobin S (HbS) mutation as well as to a paralogous hemoglobin subunit delta (HBD) region, in sperm samples from sub-Saharan African and northern European donors. The HbS mutation, which protects against malaria while causing sickle-cell anemia in homozygotes originated de novo significantly more frequently in the HBB gene in Africans compared to the other three test cases combined (the European HBB gene and the European and African HBD gene). Here, we apply this approach to the human apolipopro-tein L1 (APOL1) gene containing the site of the G1 1024A[->]G mutation, which protects against African sleeping sickness caused by Trypanosoma brucei gambiense while causing a substantially increased risk of chronic kidney disease (CKD) in homozygotes. We find that the 1024A[->]G mutation is the mutation of highest de novo origination rate and deviates most from the genome-wide average rate for its type (A[->]G) compared to all other observable mutations in the region, and that it originates de novo significantly more frequently in Africans than in Europeans--i.e., in the population where it is of adaptive significance. The results are inconsistent with the notion that the probability of a specific mutational event is independent of its value to the organism and underscore the importance of studying mutation rates at the single-mutation resolution.

evolutionary biology↗

bioRxiv2021

Genes used together are more likely to be fusedtogether in evolution by mutational mechanisms: Abioinformatic test of the used-fused hypothesis

Cases of parallel or recurrent gene fusions, whether in evolution or in cancer and genetic disease, are difficult to explain, as they require multiple of the same or similar breakpoints to repeat. The used-together-fused-together hypothesis holds that genes that are used together repeatedly and persistently in a certain context are more likely than otherwise to undergo a fusion mutation in the course of evolution--reminiscent of the Hebbian learning rule where neurons that fire together wire together. This mutational hypothesis offers to explain both evolutionary parallelism and recurrence in disease of gene fusions under one umbrella. Here, we test this hypothesis using bioinformatic data. Various measures of gene interaction, including co-expression, co-localization, same-TAD presence and semantic similarity of GO terms show that human genes whose homologs are fused in one or more other organisms are significantly more likely to interact together than random genes, controlling for genomic distance between genes. In addition, we find a statistically significant overlap between pairs of genes that fused in the course of evolution in non-human species and pairs that undergo fusion in human cancers. These results provide support for the used-together-fused-together hypothesis over several alternative hypotheses, including that all gene pairs can fuse by random mutation, but among pairs that have thus fused, those that have interacted previously are more likely to be favored by selection. Multiple consequences are discussed, including the relevance of mutational mechanisms to exon shuffling, to the distribution of fitness effects of mutation and to parallelism.

evolutionary biology↗

bioRxiv2021

De novo mutation rates at the single-mutation resolution in a human HBB gene-region associated with adaptation and genetic disease

While it is known that the mutation rate varies across the genome, previous estimates were based on averaging across various numbers of positions. Here we describe a method to measure the origination rates of target mutations at target base positions and apply it to a 6-bp region in the human {beta}-globin (HBB) gene and to the identical, homologous{delta} -globin (HBD) region in sperm cells from both African and European donors. The HBB region of interest (ROI) includes the site of the hemoglobin S (HbS) mutation, which protects against malaria, is common in Africa and has served as a classic example of adaptation by random mutation and natural selection. We found a significant correspondence between de novo mutation rates and past observations of alleles in carriers, showing that mutation rates vary substantially in a mutation-specific manner that contributes to the site frequency spectrum. We also found that the overall point mutation rate is significantly higher in Africans than Europeans in the HBB region studied. Finally, the rate of the 20A[->]T mutation, called the "HbS mutation" when it appears in HBB, is significantly higher than expected from the genome-wide average for this mutation type. Nine instances were observed in the African HBB ROI, where it is of adaptive significance, representing at least three independent originations, and no instances were observed in the European HBB ROI or in the European or African HBD ROI. Further studies will be needed to examine de novo mutation rates at the single-mutation resolution across these and other loci and organisms and to uncover the molecular mechanisms responsible.

evolutionary biology↗