@article{fdi:010071038,
  title = {{T}he empirical distribution of singletons for geographic samples of {DNA} sequences},
  author = {{C}ubry, {P}hilippe and {V}igouroux, {Y}ves and {F}rancois, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}are variants are important for drawing inference about past demographic events in a species history. {A} singleton is a rare variant for which genetic variation is carried by a unique chromosome in a sample. {H}ow singletons are distributed across geographic space provides a local measure of genetic diversity that can be measured at the individual level. {H}ere, we define the empirical distribution of singletons in a sample of chromosomes as the proportion of the total number of singletons that each chromosome carries, and we present a theoretical background for studying this distribution. {N}ext, we use computer simulations to evaluate the potential for the empirical distribution of singletons to provide a description of genetic diversity across geographic space. {I}n a {B}ayesian framework, we show that the empirical distribution of singletons leads to accurate estimates of the geographic origin of range expansions. {W}e apply the {B}ayesian approach to estimating the origin of the cultivated plant species {P}ennisetum gla{UCUM} [{I}] {R}. {B}r. (pearl millet) in {A}frica, and find support for range expansion having started from {N}orthern {M}ali. {O}verall, we report that the empirical distribution of singletons is a useful measure to analyze results of sequencing projects based on large scale sampling of individuals across geographic space.},
  keywords = {genetic diversity ; singletons ; geographic origin ; range expansion ; pearl millet ; {AFRIQUE} {SUBSAHARIENNE} ; {MALI}},
  booktitle = {},
  journal = {{F}rontiers in {G}enetics},
  volume = {8},
  numero = {},
  pages = {art. 139 [10 p.]},
  ISSN = {1664-8021},
  year = {2017},
  DOI = {10.5589/fgene.2017.00159},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071038},
}