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Waneka G, Pate B, Monroe JG, Sloan DB. Exploring the Relationship Between Gene Expression and Low-Frequency Somatic Mutations in Arabidopsis with Duplex Sequencing. Genome Biol Evol 2024; 16:evae213. [PMID: 39365161 PMCID: PMC11489876 DOI: 10.1093/gbe/evae213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 09/07/2024] [Accepted: 09/10/2024] [Indexed: 10/05/2024] Open
Abstract
Intragenomic mutation rates can vary dramatically due to transcription-associated mutagenesis or transcription-coupled repair, which vary based on local epigenomic modifications that are nonuniformly distributed across genomes. One feature associated with decreased mutation is higher expression level, which depends on environmental cues. To understand the magnitude of expression-dependent mutation rate variation, we perturbed expression through a heat treatment in Arabidopsis thaliana. We quantified gene expression to identify differentially expressed genes, which we then targeted for mutation detection using duplex sequencing. This approach provided a highly accurate measurement of the frequency of rare somatic mutations in vegetative plant tissues, which has been a recent source of uncertainty. Somatic mutations in plants may be useful for understanding drivers of DNA damage and repair in the germline since plants experience late germline segregation and both somatic and germline cells share common repair machinery. We included mutant lines lacking mismatch repair (MMR) and base excision repair (BER) capabilities to understand how repair mechanisms may drive biased mutation accumulation. We found wild-type (WT) and BER mutant mutation frequencies to be very low (mean variant frequency 1.8 × 10-8 and 2.6 × 10-8, respectively), while MMR mutant frequencies were significantly elevated (1.13 × 10-6). Interestingly, in the MMR mutant lines, there was no difference in the somatic mutation frequencies between temperature treatments or between highly versus lowly expressed genes. The extremely low somatic variant frequencies in WT plants indicate that larger datasets will be needed to address fundamental evolutionary questions about whether environmental change leads to gene-specific changes in mutation rate.
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Affiliation(s)
- Gus Waneka
- Department of Biology, Colorado State University, Fort Collins, CO, USA
| | - Braden Pate
- Department of Biology, Colorado State University, Fort Collins, CO, USA
| | - J Grey Monroe
- Department of Plant Sciences, University of California, Davis, Davis, CA, USA
| | - Daniel B Sloan
- Department of Biology, Colorado State University, Fort Collins, CO, USA
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Waneka G, Pate B, Monroe JG, Sloan DB. Investigating low frequency somatic mutations in Arabidopsis with Duplex Sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.31.578196. [PMID: 38352550 PMCID: PMC10862904 DOI: 10.1101/2024.01.31.578196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Mutations are the source of novel genetic diversity but can also lead to disease and maladaptation. The conventional view is that mutations occur randomly with respect to their environment-specific fitness consequences. However, intragenomic mutation rates can vary dramatically due to transcription coupled repair and based on local epigenomic modifications, which are non-uniformly distributed across genomes. One sequence feature associated with decreased mutation is higher expression level, which can vary depending on environmental cues. To understand whether the association between expression level and mutation rate creates a systematic relationship with environment-specific fitness effects, we perturbed expression through a heat treatment in Arabidopsis thaliana. We quantified gene expression to identify differentially expressed genes, which we then targeted for mutation detection using Duplex Sequencing. This approach provided a highly accurate measurement of the frequency of rare somatic mutations in vegetative plant tissues, which has been a recent source of uncertainty in plant mutation research. We included mutant lines lacking mismatch repair (MMR) and base excision repair (BER) capabilities to understand how repair mechanisms may drive biased mutation accumulation. We found wild type (WT) and BER mutant mutation frequencies to be very low (mean variant frequency 1.8×10-8 and 2.6×10-8, respectively), while MMR mutant frequencies were significantly elevated (1.13×10-6). These results show that somatic variant frequencies are extremely low in WT plants, indicating that larger datasets will be needed to address the fundamental evolutionary question as to whether environmental change leads to gene-specific changes in mutation rate.
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Affiliation(s)
- Gus Waneka
- Department of Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Braden Pate
- Department of Biology, Colorado State University, Fort Collins, Colorado, USA
| | - J Grey Monroe
- Department of Plant Sciences, University of California, Davis, Davis, CA USA
| | - Daniel B Sloan
- Department of Biology, Colorado State University, Fort Collins, Colorado, USA
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Wang L, Ho AT, Hurst LD, Yang S. Re-evaluating evidence for adaptive mutation rate variation. Nature 2023; 619:E52-E56. [PMID: 37495884 PMCID: PMC10371861 DOI: 10.1038/s41586-023-06314-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 06/12/2023] [Indexed: 07/28/2023]
Affiliation(s)
- Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Alexander T Ho
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK
| | - Laurence D Hurst
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.
| | - Sihai Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
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Monroe JG, Murray KD, Xian W, Srikant T, Carbonell-Bejerano P, Becker C, Lensink M, Exposito-Alonso M, Klein M, Hildebrandt J, Neumann M, Kliebenstein D, Weng ML, Imbert E, Ågren J, Rutter MT, Fenster CB, Weigel D. Reply to: Re-evaluating evidence for adaptive mutation rate variation. Nature 2023; 619:E57-E60. [PMID: 37495874 PMCID: PMC10371858 DOI: 10.1038/s41586-023-06315-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Affiliation(s)
| | - Kevin D Murray
- Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Wenfei Xian
- Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Thanvi Srikant
- Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | | | - Claude Becker
- Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | | | - Moises Exposito-Alonso
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Marie Klein
- University of California Davis, Davis, CA, USA
| | | | - Manuela Neumann
- Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | | | - Mao-Lun Weng
- Department of Biology, Westfield State University, Westfield, MA, USA
| | - Eric Imbert
- ISEM, University of Montpellier, Montpellier, France
| | - Jon Ågren
- Department of Ecology and Genetics, EBC, Uppsala University, Uppsala, Sweden
| | - Matthew T Rutter
- Department of Biology, College of Charleston, Charleston, SC, USA
| | - Charles B Fenster
- Oak Lake Field Station, South Dakota State University, Brookings, SD, USA
| | - Detlef Weigel
- Max Planck Institute for Biology Tübingen, Tübingen, Germany.
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