Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Sep 24;116(39):19593-19599.
doi: 10.1073/pnas.1906559116. Epub 2019 Sep 9.

Evolution-based screening enables genome-wide prioritization and discovery of DNA repair genes

Affiliations

Evolution-based screening enables genome-wide prioritization and discovery of DNA repair genes

Gregory J Brunette et al. Proc Natl Acad Sci U S A. .

Abstract

DNA repair is critical for genome stability and is maintained through conserved pathways. Traditional genome-wide mammalian screens are both expensive and laborious. However, computational approaches circumvent these limitations and are a powerful tool to identify new DNA repair factors. By analyzing the evolutionary relationships between genes in the major DNA repair pathways, we uncovered functional relationships between individual genes and identified partners. Here we ranked 17,487 mammalian genes for coevolution with 6 distinct DNA repair pathways. Direct comparison to genetic screens for homologous recombination or Fanconi anemia factors indicates that our evolution-based screen is comparable, if not superior, to traditional screening approaches. Demonstrating the utility of our strategy, we identify a role for the DNA damage-induced apoptosis suppressor (DDIAS) gene in double-strand break repair based on its coevolution with homologous recombination. DDIAS knockdown results in DNA double-strand breaks, indicated by ATM kinase activation and 53BP1 foci induction. Additionally, DDIAS-depleted cells are deficient for homologous recombination. Our results reveal that evolutionary analysis is a powerful tool to uncover novel factors and functional relationships in DNA repair.

Keywords: DDIAS; DNA repair; evolution; genome integrity; homologous recombination.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Genetic constituents of most DNA repair pathways exhibit evolutionary rate covariation. (A) Seven mammalian DNA repair pathways are responsible for repairing DNA lesions. In pathway 1, SSBs (indicated by a missing nucleotide), abasic sites, and alkylation damage are repaired by the BER pathway. In pathway 2, bulky adducts (indicated by the red star) are repaired by NER. In pathways 3 to 5, DSBs (indicated by the 2 nicks) are repaired using HR, NHEJ, and meiosis. In pathway 6, replication errors (indicated by the red nucleotide mismatches) are repaired using MMR. In pathway 7, interstrand crosslinks (indicated by the red line) are repaired by the FA pathway. (B) The genes mediating the 7 mammalian DNA repair pathways were tested for elevated ERC. Statistical significance was determined by permutation test, where the P value is the computed probability of the observed mean ERC or greater from 1,000 equally sized groups of randomly sampled genes. n is the number of genes in the indicated group (the gene list is found in SI Appendix, Table S1).
Fig. 2.
Fig. 2.
Evolutionary rate covariation between HR genes. The ERC values between HR gene pairs in each DNA processing step were calculated and plotted using a heat map (ranging from 0 [no covariation] to 1 [positive covariation]). Genes are hierarchically clustered.
Fig. 3.
Fig. 3.
Genome-wide ranking of 17,487 genes for coevolution with HR and FA enriches for known HR and FA factors when compared to functional screens. (A) Genes were ranked by mean ERC with HR. Each bin size contains 874 genes (5% of genes analyzed). The number of HR genes in each bin is plotted relative to the total number of HR genes (n = 39) (blue bar). A scan statistic was used to find an enriched window of known HR genes, and significance was determined by permutation test (1,000 nulls; ***P < 0.001, 0 to 20%). Note that only HR genes present in both screens (the ERC dataset and the screen described in B) were included. (B) Genes were ranked by relative drGFP in a published siRNA screen (n = 21,121) for HR factors (19). Each bin contains 1,056 genes (5% of genes analyzed). The number of HR genes in each bin is plotted relative to the total number of HR genes (n = 39) (blue bar). A scan statistic was used to find an enriched window of known HR genes, and significance was determined by permutation test (1,000 nulls; ***P < 0.001, 0 to 5%). (C) Genes were ranked by mean ERC with FA. Each bin size contains 874 genes (5% of genes analyzed). The number of FA genes in each bin is plotted relative to the total number of FA genes (n = 20) (pink bar). A scan statistic was used to find an enriched window of known FA genes, and significance was determined by permutation test (1,000 nulls; ***P < 0.001, 0 to 10%). Note that only FA genes present in both screens (the ERC dataset and the screen described in D) were included. (D) Genes were ranked by MMC sensitivity in a published shRNA screen (n = 32,293) for FA factors (20). Each bin contains 2,464 targets (5% of targets analyzed). The number of FA genes in each bin is plotted relative to the total number of FA genes (n = 20) (pink bar). A scan statistic was used to find an enriched window of known FA genes, and significance was determined by permutation test (1,000 nulls; ***P < 0.001, 0 to 25%).
Fig. 4.
Fig. 4.
DDIAS depletion results in defective DSB repair. (A) Violin plots show the distribution of ERC values between DDIAS and major DNA repair pathways. Overlaid box plots indicate the quartiles of each distribution, and a white dot represents the median. Permutation P values are listed reflecting the significance of DDIAS’s ERC elevation with each pathway. (B) siDDIAS-U2OS cells were Western blotted for DDIAS, pATM-S1981, ATM, pCHK1-S345, CHK1, and alpha tubulin (Left). pATM signal was quantified and normalized to alpha tubulin signal. The mean of 3 experiments is plotted with SEM (Right; *P < 0.05). (C) The 53BP1 foci were quantified in siDDIAS-U2OS cells. The average number of 53BP1 foci (Bottom Left) and percentage of cells ≥5 53BP1 foci (Bottom Right) were quantified from 2 independent experiments (n = 200 cells per condition). Means are plotted with SEM graphed (*P < 0.05; ***P < 0.001). (D) DDIAS depletion using 2 independent siRNAs results in reduced HR in U2OS-SCR cells. Schematic of the SCR-GFP reporter system is shown (Top). U2OS-SCR-GFP cells were treated with siRNA targeting DDIAS (siDDIAS 1 and 2; see SI Appendix, Fig. S9, for corresponding Western blot showing DDIAS depletion). Untransfected cells and I-SceI–transfected cells treated with mirin were also measured. Mean %GFP+ is plotted with SE. (***P < 0.001.) n.s., not significant.

Similar articles

Cited by

  • Evolutionary rate covariation is pervasive between glycosylation pathways and points to potential disease modifiers.
    Thorpe HJ, Partha R, Little J, Clark NL, Chow CY. Thorpe HJ, et al. PLoS Genet. 2024 Sep 11;20(9):e1011406. doi: 10.1371/journal.pgen.1011406. eCollection 2024 Sep. PLoS Genet. 2024. PMID: 39259723 Free PMC article.
  • MAIA, Fc receptor-like 3, supersedes JUNO as IZUMO1 receptor during human fertilization.
    Vondrakova J, Frolikova M, Ded L, Cerny J, Postlerova P, Palenikova V, Simonik O, Nahacka Z, Basus K, Valaskova E, Machan R, Pacey A, Holubcova Z, Koubek P, Ezrova Z, Park S, Liu R, Partha R, Clark N, Neuzil J, Ikawa M, Erickson K, Lam KS, Moore H, Komrskova K. Vondrakova J, et al. Sci Adv. 2022 Sep 9;8(36):eabn0047. doi: 10.1126/sciadv.abn0047. Epub 2022 Sep 7. Sci Adv. 2022. PMID: 36070373 Free PMC article.
  • A Drosophila screen identifies NKCC1 as a modifier of NGLY1 deficiency.
    Talsness DM, Owings KG, Coelho E, Mercenne G, Pleinis JM, Partha R, Hope KA, Zuberi AR, Clark NL, Lutz CM, Rodan AR, Chow CY. Talsness DM, et al. Elife. 2020 Dec 14;9:e57831. doi: 10.7554/eLife.57831. Elife. 2020. PMID: 33315011 Free PMC article.
  • Novel risk loci for COVID-19 hospitalization among admixed American populations.
    Diz-de Almeida S, Cruz R, Luchessi AD, Lorenzo-Salazar JM, de Heredia ML, Quintela I, González-Montelongo R, Nogueira Silbiger V, Porras MS, Tenorio Castaño JA, Nevado J, Aguado JM, Aguilar C, Aguilera-Albesa S, Almadana V, Almoguera B, Alvarez N, Andreu-Bernabeu Á, Arana-Arri E, Arango C, Arranz MJ, Artiga MJ, Baptista-Rosas RC, Barreda-Sánchez M, Belhassen-Garcia M, Bezerra JF, Bezerra MAC, Boix-Palop L, Brion M, Brugada R, Bustos M, Calderón EJ, Carbonell C, Castano L, Castelao JE, Conde-Vicente R, Cordero-Lorenzana ML, Cortes-Sanchez JL, Corton M, Darnaude MT, De Martino-Rodríguez A, Del Campo-Pérez V, de Bustamante AD, Domínguez-Garrido E, Eirós R, Fariñas MC, Fernandez-Nestosa MJ, Fernández-Robelo U, Fernández-Rodríguez A, Fernández-Villa T, Gago-Dominguez M, Gil-Fournier B, Gómez-Arrue J, Álvarez BG, Bernaldo de Quirós FG, González-Neira A, González-Peñas J, Gutiérrez-Bautista JF, Herrero MJ, Herrero-Gonzalez A, Jimenez-Sousa MA, Lattig MC, Borja AL, Lopez-Rodriguez R, Mancebo E, Martín-López C, Martín V, Martinez-Nieto O, Martinez-Lopez I, Martinez-Resendez MF, Martinez-Perez A, Mazzeu JF, Macías EM, Minguez P, Cuerda VM, Oliveira SF, Ortega-Paino E, Parellada M, Paz-Artal… See abstract for full author list ➔ Diz-de Almeida S, et al. Elife. 2024 Oct 3;13:RP93666. doi: 10.7554/eLife.93666. Elife. 2024. PMID: 39361370 Free PMC article.
  • An orthologous gene coevolution network provides insight into eukaryotic cellular and genomic structure and function.
    Steenwyk JL, Phillips MA, Yang F, Date SS, Graham TR, Berman J, Hittinger CT, Rokas A. Steenwyk JL, et al. Sci Adv. 2022 May 6;8(18):eabn0105. doi: 10.1126/sciadv.abn0105. Epub 2022 May 4. Sci Adv. 2022. PMID: 35507651 Free PMC article.

References

    1. Natarajan K., et al. , Transcriptional profiling shows that Gcn4p is a master regulator of gene expression during amino acid starvation in yeast. Mol. Cell. Biol. 21, 4347–4368 (2001). - PMC - PubMed
    1. Clark N. L., Alani E., Aquadro C. F., Evolutionary rate covariation reveals shared functionality and coexpression of genes. Genome Res. 22, 714–720 (2012). - PMC - PubMed
    1. Clark N. L., Alani E., Aquadro C. F., Evolutionary rate covariation in meiotic proteins results from fluctuating evolutionary pressure in yeasts and mammals. Genetics 193, 529–538 (2013). - PMC - PubMed
    1. Findlay G. D., et al. , Evolutionary rate covariation identifies new members of a protein network required for Drosophila melanogaster female post-mating responses. PLoS Genet. 10, e1004108 (2014). - PMC - PubMed
    1. Böhm S., et al. , The budding yeast ubiquitin protease Ubp7 is a novel component involved in S phase progression. J. Biol. Chem. 291, 4442–4452 (2016). - PMC - PubMed

Publication types

MeSH terms