Lounès Chikhi

The paper examines sympatry in sportive lemurs using genomic and morphological data, finding clinal variation rather than speciation, and reclassifies L. milanoii as a synonym of L. ankaranensis.

This study simulates structured populations to assess PSMC's ability to infer demographic history, finding it fails to recover older fluctuations but works better for recent periods.

This paper extends the non-stationary structured coalescent framework to models with changing parameters, showing that IICR curves can be misleading and highlighting the impact of deme changes on population genetic inferences.

The paper estimates effective population size (Ne) of western chimpanzees in Guinea-Bissau using genetic data to inform conservation strategies.

This study uses modern and ancient DNA data to show that Madagascar turtle doves colonized Mauritius and Reunion independently from Madagascar before human arrival, challenging historical accounts of human-induced demographic collapse.

The paper presents an algorithm to calculate the expected Site Frequency Spectrum (SFS) in structured populations, enabling demographic parameter inference in the symmetrical n-island model.

This paper investigates the demographic history of chimpanzees by integrating population structure into models, finding that spatial models improve predictions of genetic differentiation and IBD patterns.

This study investigates how life history traits affect genetic diversity dynamics in refugium populations during range expansion and contraction.

This paper extends the IICR to larger sample sizes and identifies limitations of demographic inferential methods using simulations and real data.

The paper examines how genomic variations in effective population size due to linked selection affect coalescence time distributions and demographic inference.

The paper reviews literature on mouse lemur use of degraded habitats and finds no variation in degraded habitat use across forest types, conservation status, or distribution range.

This study analyzes genetic data from Zoroastrians in Iran and India to explore population structure, gene flow, and selection, revealing patterns of endogamy, admixture timing, and disease-related selection.

The paper shows that ignoring population structure in demographic inference leads to misleading population size changes, using human genomic data to demonstrate this issue.

This paper develops methods to estimate demographic parameters and choose models using genetic data from a single individual, distinguishing population size changes from population structure.