Our objective is to highlight the age of sub-Saharan gene flows in North Africa and particularly in Tunisia. Therefore we analyzed in a broad phylogeographic context sub-Saharan mtDNA haplogroups of Tunisian Berber populations considered representative of ancient settlement. More than 2,000 sequences were collected from the literature, and networks were constructed. The results show that the most ancient haplogroup is L3*, which would have been introduced to North Africa from eastern sub-Saharan populations around 20,000 years ago. Our results also point to a less ancient western sub-Saharan gene flow to Tunisia, including haplogroups L2a and L3b. This conclusion points to an ancient African gene flow to Tunisia before 20,000 BP. These findings parallel the more recent findings of both archaeology and linguistics on the prehistory of Africa. The present work suggests that sub-Saharan contributions to North Africa have experienced several complex population processes after the occupation of the region by anatomically modern humans. Our results reveal that Berber speakers have a foundational biogeographic root in Africa and that deep African lineages have continued to evolve in supra-Saharan Africa.

Specific language impairment (SLI) is a developmental language disorder that occurs for no known reason. The disorder affects 2–8% of children. Some scientific evidence suggests that genetic factors are implicated in the etiology of SLI. The disorder is genetically complex. Two novel loci, SLI1 on chromosome 16q24 (MIM 606711) and SLI2 on chromosome 19q13 (MIM 606712), have been found to be highly correlated with SLI. Four genes have been identified as susceptibility genes. SLI occurs at an unusually elevated incidence (35%) among the population of Robinson Crusoe Island (Chile), which also has a high consanguinity rate. This finding supports the influence of genetic mechanisms in the transmission of SLI based on a founder effect. To investigate further the genetic involvement in this population, we collected blood samples from 115 islanders from 13 families with a language-impaired proband and from 18 families with a normal-language proband. The analysis of micro satellite marker D16S515, located in locus SLI1, demonstrated that the 230-bp allele was correlated with SLI and that the 232-bp allele was correlated with normal language development. The domain containing the D16S515 marker, therefore, may play a role in language development.

We used 15 short tandem repeat (STR) loci (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, TH01, D13S317, D16S539, D2S1338, D19S433, VWA, TPOX, D18S51, D5S818, and FGA) to genetically characterize 361 individuals from 11 indigenous populations (Amuzgo, Chinanteco, Chontal, Huave, Mazateco, Mixe, Mixteco, Triqui, Zapoteco del Istmo, Zapoteco del Valle, and Zoque) from Oaxaca, Mexico. We also used previously published data from other Mexican peoples (Maya, Chol, Tepehua, Otomí, and Mestizos from northern and central Mexico) to delineate genetic relations, for a total of 541 individuals. Average heterozygosity (H) was lower in most populations from Oaxaca (range 0.687 in Zoque to 0.756 in Chontal) than values observed in Mestizo populations from Mexico (0.758 and 0.793 in central and northern Mestizo, respectively) but higher than values observed in other Amerindian populations from South America; the same relation was true for the number of alleles (n_a). We tested (using the software Structure) whether major geographic or linguistic barriers to gene flow existed among the populations of Oaxaca and found that the populations appeared to constitute one or two genetic groups, suggesting that neither geographic location nor linguistics had an effect on the genetic structure of these culturally and linguistically highly diverse indigenous peoples. Moreover, we found a low but statistically significant between-population differentiation. In addition, the genetic structure of Oaxacan populations did not fit an isolation-by-distance model. Finally, using AMOVA and a Bayesian clustering approach, we did not detect significant geographic or linguistic barriers to gene flow within Oaxaca. These results suggest that the indigenous communities of Oaxaca, although culturally isolated, can be genetically defined as a large, nearly panmictic population in which migration could be a more important population mechanism than genetic drift. Finally, compared with outgroups in Mexico (both indigenous peoples and Mestizos), three groups were apparent. Among them, only the Otomí population from Hidalgo has a different culture and language.

Autosomal STRs, Y-chromosome markers, and mitochondrial DNA sequences were investigated in six Mbyá-Guaraní villages (Fortín M'Bororé, Yryapu, Tabay, Kaaguy Poty, Jejy, and Yaboti), all of them settled within the province of Misiones, northeastern Argentina. One hundred twenty-one unrelated individuals were analyzed. The study involved typing fifteen autosomal STRs, nine Y-chromosome STRs, and four biallele loci in the nonrecombinant region of the Y chromosome, sequencing the mtDNA of hypervariable regions I and II, and detecting the 9-bp ins/del in region V of mtDNA. All autosomal STRs were in Hardy-Weinberg equilibrium. The four major native American mtDNA haplogroups were represented in the sample. Haplogroups A2 and D1 exhibited the highest frequencies (40.5% and 36.0%, respectively), and haplogroups B2 and C1 appeared to be less frequent (17.5% and 6.0%, respectively). The native American haplogroup Q1a3a was observed in a relevant proportion (88.8%). In addition, a nine-STR Y-chromosome haplo-type (DYS19*13, DYS389I*14, DYS389II*31, DYS390*24, DYS391*11, DYS392*14, DYS393*11, DYS385A*14, DYS385B*16) exhibited a frequency of more than 36%. Our results indicate that the analyzed Argentinean Guaraní individuals are genetically more closely related to Guaraní from Brazil [genetic distance (Δµ)²= 0.48] than to other related tribes that are geographically closer. Statistical approaches based on autosomal data do not support the hypothesis of genetic drift previously proposed; however, this apparent discrepancy might be due to the lack of sensitivity of the autosomal markers used here.

To study the genetic variability of the HLA loci A, B, DR, and DQ in the Netherlands, we analyzed more than 13,000 typings provided by the Dutch National Reference Laboratory for Histocompatibility. To investigate any possibly existing population structure, we subdivided the typings by the geographic location of residency of donors and by the historical belonging of their surnames to given provinces. Concerning possible geographic patterns, we found no significant differences between the four provinces examined (North Holland, South Holland, Utrecht, Zeeland). To assess whether such a negative result was related to recent immigration to the area (the richest of the country) that erased possible preexisting patterns of HLA diversity, we reprocessed the database according to the surnames of HLA donors. We obtained two groups: (1) those having a surname typical of the four provinces they inhabit and (2) those with surnames coming from elsewhere. Such an analysis was made possible because of the availability of a database concerning the geographic origin of most Dutch surnames. Even with this surname-based approach, no major differences were found. We conclude that either the western part of the Netherlands was genetically homogeneous before the official introduction of Dutch surnames two centuries ago by Napoleon or surnames have no power in dissecting HLA variability; that is, such variability is the result of recombination phenomena that surnames cannot mirror because they are transmitted virtually unchanged generation after generation. A comparable study by other investigators recommended the use of family names to identify rare HLA haplotypes in France, but now, concerning the Netherlands, we find opposite results. We suggest that a few typing centers may be sufficient to type bone marrow donors, because HLA genetic differences between the different provinces of the Netherlands are extremely low. To maximize the number of donors, such centers should be located in areas providing the easiest access to the largest population of possible donors, thus disregarding the search for a local variability that we did not find.