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An organism becomes genetically mosaic through the accumulation of somatic mutations. Genetic mosaicism is a commonality of multicellular life and has been studied extensively in humans due to its associations with aging and diseases. In humans, somatic selection shapes the accumulation of somatic mutations, with strong signatures of positive somatic selection in cancer cell lineages. So far, evidence for somatic selection in plants has been inconsistent. The evolutionary implications of genetic mosaicism in humans and other animals are limited by early specification of germline cells, preventing transmission of somatic mutations to progeny. In contrast, many plant lineages reproduce asexually with clonal progeny derived from vegetative tissues. We describe the patterns and processes shaping somatic mutation accumulation within a single, 149-year-old historic sweet orange (Citrus sinensis) tree and within a clonal lineage of sweet orange. More than 12,000 somatic mutations were identified in the historic tree and 28,000 somatic mutations were identified across 199 clonally related sweet orange accessions. Both the spatial and genomic distributions of somatic mutations are non-random. The spatial patterns of somatic mutations across the historic tree depend on tree growth and development and their accumulation across the tree canopy recapitulates branching topology. Analysis of the genomic distribution of somatic mutations revealed that the subtelomeres, which are large arrays of ~180 bp repeats, are mutation hotspots. Finally, there was genomic evidence that somatic selection shapes the accumulation of somatic mutations both within the historic tree and also during clonal propagation.
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This content will become publicly available on December 31, 2026
Surrogate selection oversamples expanded T cell clonotypes
Surrogate selection is an experimental design that without sequencing any DNA can restrict a sample of cells to those carrying certain genomic mutations. In immunological disease studies, this design may provide a relatively easy approach to enrich a lymphocyte sample with cells relevant to the disease response because the emergence of neutral mutations associates with the proliferation history of clonal subpopulations. A statistical analysis of clonotype sizes provides a structured, quantitative perspective on this useful property of surrogate selection. Our model specification couples within-clonotype birth-death processes with an exchangeable model across clonotypes. Beyond enrichment questions about the surrogate selection design, our framework enables a study of sampling properties of elementary sample diversity statistics; it also points to new statistics that may usefully measure the burden of somatic genomic alterations associated with clonal expansion. We examine statistical properties of immunological samples governed by the coupled model specification, and we illustrate calculations in surrogate selection studies of melanoma and in single-cell genomic studies of T cell repertoires.
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- Award ID(s):
- 2023239
- PAR ID:
- 10625761
- Publisher / Repository:
- The Institute of Mathematical Statistics
- Date Published:
- Journal Name:
- The annals of applied statistics
- ISSN:
- 1932-6157
- Subject(s) / Keyword(s):
- Bayes’s rule clonal expansion diversity statistic enrichment exchangeable birth-death processes experimental design single cell sequencing size bias somatic mutation
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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