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Leveraging Single-Cell Populations to Uncover the Genetic Basis of Complex Traits.
Minow, Mark A A; Marand, Alexandre P; Schmitz, Robert J.
Afiliación
  • Minow MAA; Department of Genetics, University of Georgia, Athens, Georgia, USA; email: schmitz@uga.edu.
  • Marand AP; Department of Genetics, University of Georgia, Athens, Georgia, USA; email: schmitz@uga.edu.
  • Schmitz RJ; Department of Genetics, University of Georgia, Athens, Georgia, USA; email: schmitz@uga.edu.
Annu Rev Genet ; 57: 297-319, 2023 11 27.
Article en En | MEDLINE | ID: mdl-37562412
The ease and throughput of single-cell genomics have steadily improved, and its current trajectory suggests that surveying single-cell populations will become routine. We discuss the merger of quantitative genetics with single-cell genomics and emphasize how this synergizes with advantages intrinsic to plants. Single-cell population genomics provides increased detection resolution when mapping variants that control molecular traits, including gene expression or chromatin accessibility. Additionally, single-cell population genomics reveals the cell types in which variants act and, when combined with organism-level phenotype measurements, unveils which cellular contexts impact higher-order traits. Emerging technologies, notably multiomics, can facilitate the measurement of both genetic changes and genomic traits in single cells, enabling single-cell genetic experiments. The implementation of single-cell genetics will advance the investigation of the genetic architecture of complex molecular traits and provide new experimental paradigms to study eukaryotic genetics.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Genómica Idioma: En Revista: Annu Rev Genet Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Genómica Idioma: En Revista: Annu Rev Genet Año: 2023 Tipo del documento: Article