Publications by authors named "Caina M Couto-Silva"

Ecological conditions in the Amazon rainforests are historically favorable for the transmission of numerous tropical diseases, especially vector-borne diseases. The high diversity of pathogens likely contributes to the strong selective pressures for human survival and reproduction in this region. However, the genetic basis of human adaptation to this complex ecosystem remains unclear.

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South America is home to one of the most culturally diverse present-day native populations. However, the dispersion pattern, genetic substructure, and demographic complexity within South America are still poorly understood. Based on genome-wide data of 58 native populations, we provide a comprehensive scenario of South American indigenous groups considering the genomic, environmental, and linguistic data.

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The Andean Altiplano has been occupied continuously since the late Pleistocene, ~12,000 years ago, which places the Andean natives as one of the most ancient populations living at high altitudes. In the present study, we analyzed genomic data from Native Americans living a long-time at Andean high altitude and at Amazonia and Mesoamerica lowland areas. We have identified three new candidate genes - SP100, DUOX2 and CLC - with evidence of positive selection for altitude adaptation in Andeans.

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Synopsis of recent research by authors named "Caina M Couto-Silva"

  • - Caina M Couto-Silva's research focuses on the genetic adaptations of indigenous populations in South America, emphasizing their responses to environmental pressures such as pathogens and high altitudes.
  • - In her 2023 study, Couto-Silva provided insights into how the unique ecological conditions of the Amazon rainforest have historically driven genetic adaptations among indigenous peoples in response to the prevalent vector-borne diseases.
  • - Her earlier work, including a 2022 analysis of genomic diversity among South American natives and a 2018 investigation of high-altitude adaptation in Andean populations, highlights the complex interplay between genetic diversity, environmental factors, and population histories.