10.5061/DRYAD.41H46J37
Traoré, Amadou
Institut de l'Environnement et Recherches Agricoles
Álvarez, Isabel
Servicio Regional de Investigación y Desarrollo Agroalimentario
Fernández, Iván
Servicio Regional de Investigación y Desarrollo Agroalimentario
Pérez-Pardal, Lucía
Servicio Regional de Investigación y Desarrollo Agroalimentario
Kaboré, Adama
Institut de l'Environnement et Recherches Agricoles
Ouédraogo-Sanou, Gisèlle M. S.
Laboratoire National d’Elevage, Ouagadougou, Burkina Faso
Zaré, Yacouba
Institut de l'Environnement et Recherches Agricoles
Tambourá, Hamidou H.
Institut de l'Environnement et Recherches Agricoles
Goyache, Félix
Servicio Regional de Investigación y Desarrollo Agroalimentario
Data from: Ascertaining gene flow patterns in livestock populations of
developing countries: a case study in Burkina Faso goat
Dryad
dataset
2012
Capra Hircus
desertization
Goat
present
2012-08-09T20:33:59Z
2012-08-09T20:33:59Z
en
https://doi.org/10.1186/1471-2156-13-35
206848 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
BACKGROUND: Introgression of Sahel livestock genes southwards in West
Africa may be favoured by human activity and the increase of the duration
of the dry seasons since the 1970’s. The aim of this study is to assess
the gene flow patterns in Burkina Faso goat and to ascertain the most
likely factors influencing geographic patterns of genetic variation in the
Burkina Faso goat population. RESULTS: A total of 520 goat were sampled in
23 different locations of Burkina Faso and genotyped for a set of 19
microsatellites. Although overall differentiation is poor (FST = 0.067 ±
0.003), the goat population of Burkina Faso is far from being homogeneous.
Barrier analysis pointed out the existence of: a) genetic discontinuities
in the Central and Southeast Burkina Faso; and b) genetic differences
within the goat sampled in the Sahel or the Sudan areas of Burkina Faso.
Principal component analysis and admixture proportion scores were computed
for each population sampled and used to construct interpolation maps.
Furthermore, Population Graph analysis revealed that the Sahel and the
Sudan environmental areas of Burkina Faso were connected through a
significant number of extended edges, which would be consistent with the
hypothesis of long-distance dispersal. Genetic variation of Burkina Faso
goat followed a geographic-related pattern. This pattern of variation is
likely to be related to the presence of vectors of African animal
trypanosomosis. Partial Mantel test identified the present Northern limit
of trypanosome vectors as the most significant landscape boundary
influencing the genetic variability of Burkina Faso goat (p = 0.008). The
contribution of Sahel goat genes to the goat populations in the Northern
and Eastern parts of the Sudan-Sahel area of Burkina Faso was substantial.
The presence of perennial streams explains the existence of trypanosome
vectors. The South half of the Nakambé river (Southern Ouagadougou) and
the Mouhoun river loop determined, respectively, the Eastern and Northern
limits for the expansion of Sahelian goat genes. Furthermore, results from
partial Mantel test suggest that the introgression of Sahelian goat genes
into Djallonké goat using human-influenced genetic corridors has a limited
influence when compared to the biological boundary defined by the northern
limits for the distribution of the tsetse fly. However, the genetic
differences found between the goat sampled in Bobo Dioulasso and the other
populations located in the Sudan area of Burkina Faso may be explained by
the broad goat trade favoured by the main road of the country.
CONCLUSIONS: The current analysis clearly suggests that genetic variation
in Burkina Faso goat: a) follows a North to South clinal; and b) is
affected by the distribution of the tsetse fly that imposes a limit to the
Sahelian goat expansion due to their trypanosusceptibility. Here we show
how extensive surveys on livestock populations can be useful to indirectly
assess the consequences of climate change and human action in developing
countries.
Data Traoré et al. (2012) BMC GeneticsGenotypes, for 19 microsatellites,
of 520 goat sampled in 23 different locations of Burkina Faso. Genotypes
are given in MolKin format (similar to GENEPOP).
Burkina Faso
West Africa
Sahel