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Viguera, E.

Publications and source records attributed to Viguera, E..

2 recordsLinked to original sources

Disparate demographic impacts of the Roman Colonization and the Migration Period in the Iberian Peninsula.

It has been unclear how the periods of Roman and later Germanic political control shaped the demography of the Iberian Peninsula and how Iberia differs in these respects from other parts of the Roman Empire. We report genome-wide data from 248 ancient individuals from the largely unsampled period 100-800 CE and co-analyze them with previously reported data. In the Roman era, we document profound demographic transformation, with an influx of people with ancestry from the Central and Eastern Mediterranean in all the areas under study and of North Africans, especially in central and southern Iberia. Germanic (Buri, Suebi, Vandals & Visigoths) and Sarmatian (Alans) took over political control beginning in the 5th century, and although we identify individuals with Germanic-associated ancestry at sites with Germanic-style ornaments and observe that such individuals were closely related across large distances as in the case of two siblings separated by 700 km, for Iberia as a whole, we observe high continuity with the previous Hispano-Roman population. The demographic patterns in Iberia contrast sharply with those in Britain, which showed the opposite pattern of little change in the Roman period followed by great change in the Migration period, and also from demographic patterns in the central Mediterranean where both periods were associated with profound transformation, raising broader questions about the forces that precipitated change over this time.

genomics↗

QuasiFlow: a bioinformatic tool for genetic variability analysis from next generation sequencing data

Populations of RNA and ssDNA viruses within their hosts contain a heterogeneous collection of variant genomes known as quasispecies. Large variability in mitochondrial DNA has also been found within the same organism, drawing an interesting parallel between the two situations. The advent of next-generation sequencing technologies facilitated studying genetic variation, but many open-source bioinformatic tools have to be combined in a non-trivial approach. Here it is presented QuasiFlow, a workflow based on well-stablished software that extracts reliable mutations and recombinations, even at low frequencies (~10-4), provided that at least 250 million nucleotides are analysed. Accurate prediction of mutations and recombinations has been demonstrated with synthetic reads and with in vitro rolling-circle amplification of a plant geminivirus. An in-depth analysis of viral quasispecies was performed and QuasiFlow revealed the coexistence in the plant of three virus genomes and distinct recombinations between some of them. Human mitochondrial variants were also investigated and high level of heteroplasmy (75%) was confirmed, and the relation between low-frequency heteroplasmy (0.1- 0.2%) and some human diseases, regardless of sex, was established. Hence, we propose that QuasiFlow may find use with known and emerging viruses to reveal evolutionary jumps and co-infections, with mitochondrial DNA to detect relevant heteroplasmy would otherwise be elusive, or even in other population studies such as those considering single cell sequencing.

bioinformatics↗