Correction to: Nature 10.1038/s41586-021-04269-6 Published online 12 January 2022
The second sentence in the Methods section “Identification of de novo somatic mutations in a resequencing dataset of A. thaliana leaves” has been corrected from “Raw fastq files were downloaded from NCBI and mapped to the TAIR10 reference genome using bwa-mem...” to “Raw fastq files were downloaded from NCBI and forward reads were mapped twice to the TAIR10 reference genome using bwa-mem (bwa mem ${sample}_R1.fastq.gz ${sample}_R1.fastq.gz)...”. No other text, figures or results have been altered.
In our study1, we tested whether trends of lower mutation rates in gene bodies and in essential genes observed in our initial set of sequence data were also observable in other datasets. To this end, we turned to several additional independent datasets, including published deep sequencing reads from 64 A. thaliana leaves2. We have since found code in the pipeline used only for this dataset that led to forward reads being mapped twice to the genome. This led to a large number of singletons being inadvertently called as potential non-singleton variants, potentially increasing the fraction of sequencing errors in this dataset (cf. Extended Data Fig. 4c in our study1). However, post hoc analyses of this specific subset of data analyzed in our study1 confirmed that the reported distribution of those variants is inconsistent with being explained by sequencing errors alone. A detailed discussion is found in Supplementary Note 4 in ref. 3.
We thank colleagues whose comments led us to revisit our code and apologize for the confusion this may have caused.
Contributor Information
J. Grey Monroe, Email: gmonroe@ucdavis.edu.
Detlef Weigel, Email: weigel@weigelworld.org.
References
- 1.Monroe JG, et al. Mutation bias reflects natural selection in Arabidopsis thaliana. Nature. 2022 doi: 10.1038/s41586-021-04269-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Wang L, et al. The architecture of intra-organism mutation rate variation in plants. PLoS Biol. 2019;17:e3000191. doi: 10.1371/journal.pbio.3000191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Monroe JG, et al. Reply to: Re-evaluating evidence for adaptive mutation rate variation. Nature. 2023 doi: 10.1038/s41586-023-06315-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
