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Forces driving transposable element load variation during Arabidopsis range expansion. | LitMetric

Forces driving transposable element load variation during Arabidopsis range expansion.

Plant Cell

State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.

Published: March 2024

AI Article Synopsis

  • Genetic load encompasses harmful mutations that can affect populations negatively, and this study focuses on how transposable element (TE) insertion contributes to this load during the range expansion of Arabidopsis thaliana.
  • The research analyzed 1,115 global natural accessions and found that TE load increases with geographic expansion, particularly in the Yangtze River basin population, with effective population size playing a significant role.
  • By mapping candidate genes and TEs, the study sheds light on the genetic factors driving TE load variation, emphasizing insights from both population genetics and quantitative genetics.

Article Abstract

Genetic load refers to the accumulated and potentially life-threatening deleterious mutations in populations. Understanding the mechanisms underlying genetic load variation of transposable element (TE) insertion, a major large-effect mutation, during range expansion is an intriguing question in biology. Here, we used 1,115 global natural accessions of Arabidopsis (Arabidopsis thaliana) to study the driving forces of TE load variation during its range expansion. TE load increased with range expansion, especially in the recently established Yangtze River basin population. Effective population size, which explains 62.0% of the variance in TE load, high transposition rate, and selective sweeps contributed to TE accumulation in the expanded populations. We genetically mapped and identified multiple candidate causal genes and TEs, and revealed the genetic architecture of TE load variation. Overall, this study reveals the variation in TE genetic load during Arabidopsis expansion and highlights the causes of TE load variation from the perspectives of both population genetics and quantitative genetics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10980350PMC
http://dx.doi.org/10.1093/plcell/koad296DOI Listing

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