| Literature DB >> 30517116 |
Thierry Winkel1, María Gabriela Aguirre2, Carla Marcela Arizio3, Carlos Alberto Aschero4,5, María Del Pilar Babot4,5, Laure Benoit6, Concetta Burgarella7, Sabrina Costa-Tártara8, Marie-Pierre Dubois6, Laurène Gay7, Salomón Hocsman4,5, Margaux Jullien9, Sara María Luisa López-Campeny4,5, María Marcela Manifesto3, Miguel Navascués10,11, Nurit Oliszewski2,4, Elizabeth Pintar12, Saliha Zenboudji6, Héctor Daniel Bertero13, Richard Joffre6.
Abstract
History and environment shape crop biodiversity, particularly in areas with vulnerable human communities and ecosystems. Tracing crop biodiversity over time helps understand how rural societies cope with anthropogenic or climatic changes. Exceptionally well preserved ancient DNA of quinoa (Chenopodium quinoa Willd.) from the cold and arid Andes of Argentina has allowed us to track changes and continuities in quinoa diversity over 18 centuries, by coupling genotyping of 157 ancient and modern seeds by 24 SSR markers with cluster and coalescence analyses. Cluster analyses revealed clear population patterns separating modern and ancient quinoas. Coalescence-based analyses revealed that genetic drift within a single population cannot explain genetic differentiation among ancient and modern quinoas. The hypothesis of a genetic bottleneck related to the Spanish Conquest also does not seem to apply at a local scale. Instead, the most likely scenario is the replacement of preexisting quinoa gene pools with new ones of lower genetic diversity. This process occurred at least twice in the last 18 centuries: first, between the 6th and 12th centuries-a time of agricultural intensification well before the Inka and Spanish conquests-and then between the 13th century and today-a period marked by farming marginalization in the late 19th century likely due to a severe multidecadal drought. While these processes of local gene pool replacement do not imply losses of genetic diversity at the metapopulation scale, they support the view that gene pool replacement linked to social and environmental changes can result from opposite agricultural trajectories.Entities:
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Year: 2018 PMID: 30517116 PMCID: PMC6281180 DOI: 10.1371/journal.pone.0207519
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Geographic localization and genetic classification of ancient and modern quinoas collected in Northwest Argentina.
(A): Map of the dry Andes localizing ancient and modern quinoa samples (red and black numbers, respectively; detailed sample description in Table B in S1 Appendix). (B): Scatterplot of the Discriminant Analysis of Principal Components (DAPC). Individuals are represented by symbols according to their sample of origin; colored inertia ellipses define the clusters identified with a k-means algorithm for k = 12. (C): Individual assignment probability to each cluster from DAPC. Horizontal axis shows the sample codes as in A and B; vertical axis shows the assignment probabilities for k = 12.
Fig 2Graphical representation of alternative genetic relationships between modern and ancient quinoas from Antofagasta.
The coalescence-based modeling examined six scenarios: (A) direct chronological filiation between all samples, mixing cultivated and wild forms, (B) replacement of all ancient quinoas by modern quinoas, (C) filiation between modern quinoas and intermediate ancient quinoas, both replacing the oldest quinoas, (D) successive replacement of the three groups of quinoas: modern, intermediate, ancient, (E) same scenario as previously but differentiating between cultivated and wild forms, (F) same scenario as previously but with admixture between cultivated and wild forms. Numbers in bold refer to modern (#12) and ancient quinoa samples (#13–15,17–19) described in Table B in S1 Appendix. Vertical axis shows years BP with present at the top. Proportion of votes received from the random forest classification of the observed data is shown for each model. t and td are time parameters used in the approximate Bayesian computation analysis (see Table G in S1 Appendix).