Intersecting experimental evolution and CRISPR screens to identify novel toxin resistance loci

  1. Michele Marconcini
  2. Steeve Cruchet
  3. Srishti Goswami
  4. Raghuvir Viswanatha
  5. Matthew Butnaru
  6. Joydeep De
  7. Camilla Roselli
  8. Dafni Hadjieconomou
  9. Norbert Perrimon
  10. Stephanie E Mohr
  11. Richard Benton  Is a corresponding author
  1. Center for Integrative Genomics, Faculty of Biology and Medicine, University of Lausanne, Switzerland
  2. Department of Genetics, Blavatnik Institute, Harvard Medical School, United States
  3. Howard Hughes Medical Institute, United States
  4. Institut du Cerveau-Paris Brain Institute, Sorbonne Université, Inserm, CNRS, France
7 figures and 7 additional files

Figures

Experimental evolution of D. simulans with increased octanoic acid (OA) resistance.

(A) Phylogeny of the drosophilid trio studied in this work. Mya: million years ago. (B) Schematic of the OA resistance tube assay (see Materials and methods) and selection procedure. (C) Differences in resistance of D. simulans 04 and D. sechellia 07 strains to 3 μl OA. (D) Schematic illustrating the generation of the base populations for Evolve-and-Resequence (see Materials and methods). (E) Changes in survivability to 3 μl OA of the 10 D. simulans populations over generations 0–25. Box plots represent the interquartile ranges of the survivability for all the replicates; blue lines show the generalized additive model (GAM) regression; gray shading represents the 95% confidence interval for the mean responses at each time point. (F) As in E for the 10 populations combined. (G) OA resistance for the combined 10 populations with increasing OA volumes during generations 25–31. (H) As in E, with 9 μl OA during generations 31–50. (I) As in H for the 10 populations combined. (J) Comparison of OA resistance of unevolved D. simulans (i.e. the original 10 outcrossed populations maintained on standard fly food; see Materials and methods), evolved (generation 50 [G50]) D. simulans, and D. sechellia. (K–N) Phenotypic comparison of unevolved and evolved (G50+) D. simulans populations 1–3 for K noni resistance (G54), L fecundity (G54), M developmental viability (G57), and N lifespan (G57). For K–M, significance was assessed using the unpaired t-test correcting for multiple testing. NS p>0.05, ***p<0.001. For L–N, tests were run on standard media. No significant differences between unevolved and evolved flies were detected using the Cox regression model. See Materials and methods for details and Figure 1—source data 1 for raw data. Panel B was created with BioRender.com.

Figure 1—source data 1

Octanoic acid resistance and phenotypic characterization of evolved populations.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig1-data1-v1.xlsx
Figure 2 with 1 supplement
Dynamic directional selection of allele frequencies during experimental evolution.

(A) Schematic of the analysis. (B) Identity-by-state analysis. The heatmap depicts the proportion of shared alleles between populations, with values ranging from 0.8 (blue, lowest shared proportion) to 1 (red, identical alleles). (C,D) Manhattan plots showing the probability of allele frequency changes between (C) generations 0 and 25, and (D) generations 0 and 50. Top panel shows the results of the Cochran-Mantel-Haenszel (CMH) test; orange dots indicate significant variants at a threshold of –log10(p)≥40, a conservative approximation of the top 0.000005% simulated SNPs under neutrality (Figure 2—figure supplement 1). Bottom panel shows the absolute log-Bayes factors estimated by Bait-ER; orange dots indicate significant variants at the conservative threshold log(0.99/0.01). (E) Circular plots illustrating overlap of predicted genomic regions under directional selection between the two statistical approaches at generation 25 (left) and generation 50 (middle), or between generations 25 and 50 (right). Raw data in Figure 2—source data 1.

Figure 2—figure supplement 1
Linkage disequilibrium decay, and comparison of simulated and observed p-value distributions in the experimentally evolved populations.

(A) Linkage disequilibrium decay at generations 25 (left) and 50 (right). Black curves represent the trajectory of r2 values (y-axis left) as genomic distances increase (x-axis). Red curves represent the same but for D' values (y-axis right). (B) Violin plots showing the distribution of p-values from the Cochran-Mantel-Haenszel (CMH) test, comparing allele frequency changes between generations 25 and 0 (left), and generations 50 and 0 (right). Blue violins represent p-values derived from forward evolution simulations, while orange violins correspond to p-values from experimentally evolved populations. Red dashed lines mark the top 0.000005% of simulated p-values, serving as the significance threshold for the experimental data.

A genome-wide pooled CRISPR screen for octanoic acid (OA) susceptibility and resistance genes in D. melanogaster cultured cells.

(A) Left: images of S2R+ cells cultured in the absence or presence of OA. Scale bar, 50 μm. Right: dose-dependent effects of OA on S2R+ cell viability, through measurement of ATP levels with a CellTiter-Glo assay (see Materials and methods). (B) Schematic of CRISPR screen design. (C) Top 5% ‘susceptibility’ genes (see Materials and methods and Figure 3—source data 1). Box plots represent the interquartile ranges for all the replicates of the Z-scores obtained through maximum likelihood estimation to test for selection. The inset (bottom-right) displays the gene ontology analysis of these genes. (D) As in C, for the top 5% ‘resistance’ genes. (E) Venn diagram showing the overlap between all the genes identified in the experimental evolution at G25 and G50, and genes associated with susceptibility and resistance in the CRISPR screen. (F) Subportion of the top panel (Cochran–Mantel–Haenszel [CMH] test) of the Manhattan plot from Figure 2C for chromosome arms 2L and 3L, with the red arrows highlighting the regions magnified on the right showing the significant variants and linkage disequilibrium blocks (triangles) for kraken and Alkbh7 (CG14130).

Figure 3—source data 1

Results of the genome-wide pooled CRISPR screen and PANGEA analysis.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig3-data1-v1.xlsx
Figure 4 with 2 supplements
Sequence and expression analyses of kraken and Alkbh7.

(A) AlphaFold protein models for D. melanogaster Kraken (AF-O18391-F1-model_v4) and Alkbh7 (AF-Q9VTP1-F1-model_v4) (Jumper et al., 2021; Varadi et al., 2022), highlighting a conserved putative catalytic serine in the active site in Kraken, and the mitochondrial targeting sequence in Alkbh7 (predicted by MitoFates; Fukasawa et al., 2015). See also Figure 4—figure supplement 1. (B) Tissue-specific expression of D. melanogaster kraken and Alkbh7 from bulk RNA-sequencing data from the Fly Atlas 2.0 (Krause et al., 2022). (C) tSNE plots illustrating D. melanogaster kraken expression in single-cell transcriptomes of the Malpighian tubules and gut from the Fly Cell Atlas (Stringent 10× datasets) (Li et al., 2022). (D) Left: RNAscope detection of kraken (green) transcripts in the gut and Malpighian tubules, with nuclei counterstained with DAPI (blue). Right: higher-magnification images showing kraken transcript expression in the indicated tissues. Scale bars, 200 μm. This expression pattern was observed in tissues from >20 individuals. (E) Expression levels of the kraken and Alkbh7 in the indicated laboratory strains (left panel) and wild-caught strains (right panel) (Shahandeh et al., 2024; Shahandeh et al., 2026) of adult female D. sechellia and D. simulans measured by quantitative PCR (qPCR) (Figure 4—source data 1). Expression is represented as calibrated and normalized relative quantities (CNRQ). Significance was assessed using the unpaired t-test correcting for multiple testing and represented using letter codes. (F) Expression levels of kraken and Alkbh7 in the indicated strains and species at larval or adult stages as indicated from published RNA-sequencing data (References: 1, Watanabe et al., 2019; 2 Ma et al., 2018; 3 Kalra et al., 2024). Significance was assessed using the unpaired t-test correcting for multiple testing and represented using letter codes when multiple replicates were present in the original data. (G) Expression levels of the candidate genes at generations 0, 25, and 50 of the experimentally evolved D. simulans populations measured by qPCR (Figure 4—source data 1). Significance was assessed using the paired t-test correcting for multiple testing and represented using letter codes. Panels E and F were created with BioRender.com.

Figure 4—source data 1

Quantitative PCR (qPCR) expression of kraken and Alkbh7 in different strains.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig4-data1-v1.xlsx
Figure 4—figure supplement 1
Sequence and molecular evolutionary analyses of kraken and Alkbh7.

(A,B) Protein sequence alignment and secondary structure of Kraken (A) and Alkbh7 (B) from the reference sequence of D. melanogaster (NP_477265.1 and NP_648511.2) and the consensus sequences of D. simulans and D. sechellia. Sequence data from PRJNA215932 and PRJNA395473 (see Materials and methods). Black triangles indicate the residues where signs of selection were detected by the FUBAR (Fast, Unconstrained Bayesian AppRoximation) analysis (see D). (C) Results from the McDonald-Kreitman test. NI = neutrality index; alpha = proportion of substitutions driven by positive selection; p-value = p-value resulting from a two-tailed Fisher’s exact test. (D) FUBAR analysis to detect pervasive selection as implemented in HyPhy. position = codon position; alpha = mean posterior synonymous substitution rate; beta = mean posterior nonsynonymous substitution rate; posterior prob = posterior probability of positive selection; codons = alternative codons, Freq Dsec = frequency of the alternative codons in D. sechellia in the same order as codons; Freq Dsim = frequency of the alternative codons in D. simulans in the same order as codons. (E) Survival curves of D. melanogaster overexpressing Dmel\kraken and Dsec\kraken exposed to 2 μl OA. Each replicate consisted of ten 2- to 7-day-old female flies. Genotypes: act-Gal4/+;UAS-Dmel\kraken/+, act-Gal4/+;UAS-Dsec\kraken/+. N replicates ≥6, n flies ≥60. Shading indicates 95% confidence intervals. Significance is based on the resulting mixed-effects Cox regression model. NS p>0.05. Raw data in Figure 4—figure supplement 1—source data 1.

Figure 4—figure supplement 1—source data 1

Octanoic acid survival of D. melanogaster and D. sechellia kraken UAS-expressing flies and alignment of kraken and Alkbh7 Coding sequences.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig4-figsupp1-data1-v1.xlsx
Figure 4—figure supplement 2
Additional expression analyses of kraken and Alkbh7.

(A) Bar plots showing the expression levels of kraken and Alkbh7 across various adult Drosophila tissues and species. Data from Bontonou et al., 2024. (B) Bar plots showing the expression levels of kraken and Alkbh7 across various larval Drosophila tissues and species. Data from Watanabe et al., 2019 (‘medium diet’ condition). (C) Bar plots showing the effect of exposure to 9 μl octanoic acid (OA) (in the tube assay) on kraken and Alkbh7 expression in D. sechellia and three evolved (G50) D. simulans populations. (D) Left: RNAscope detection of kraken (green) and Rpl32 (magenta) transcripts in the gut and Malpighian tubules. Right: higher-magnification showing kraken transcript expression in the indicated tissues. Scale bars, 200 μm. This expression pattern was observed in tissues from >10 individuals.

Figure 5 with 2 supplements
Functional validation of the contribution of kraken and Alkbh7 to octanoic acid (OA) resistance.

(A–C) Survival curves of adult flies of the indicated genotypes tested in the plate assay with 2 μl OA for kraken and Alkbh7 RNA interference (RNAi) (A), mutants (B), and overexpression (C). Each replicate consisted of ten 2- to 7-day-old female flies. N replicates ≥6, n flies ≥60. Shading indicates 95% confidence intervals. Genotypes: Aact-Gal4/+;UAS-krakenRNAi/+, UAS-krakenRNAi/+, act-Gal4/+, act-Gal4/+;UAS-Alkbh7RNAi/+, UAS-Alkbh7RNAi/+, act-Gal4/+, B kraken1, Alkbh71, Canton-S (wild-type genetic background control for both mutants), C act-Gal4/+;UAS-krakeno/e/+, UAS-krakeno/e/+, act-Gal4/+, act-Gal4/+;UAS-Alkbh7o/e/+, UAS-Alkbh7o/e/+, act-Gal4/+. Significance is based on the resulting mixed-effects Cox regression model. NS p>0.05, *p<0.05, **p<0.01, ***p<0.001. The same data for D. sechellia are shown in both plots in C. (D) Survival curves of wild-type (Dsec07), and kraken (Dsec\krakenRFP) and Alkbh7 (Dsec\Alkbh7RFP) mutant D. sechellia in the plate assay with 30 μl OA. Statistics as in A. (E) Long-term survivability of the same genotypes as in D (n=60 per condition) in control conditions (no OA) (left) and food supplemented with 0.9% OA (right). Statistics as in A. Raw data in Figure 5—source data 1.

Figure 5—source data 1

Octanoic acid survival of D. melanogaster and D. sechellia transgenic and mutant flies.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig5-data1-v1.xlsx
Figure 5—figure supplement 1
Validation of RNA interference (RNAi) and overexpression lines and generation of mutants for kraken and Alkbh7.

(A) Quantitative RT-PCR analysis of RNAi-mediated knockdown of kraken and Alkbh7 in D. melanogaster. Genotypes as in Figure 5A. (B) Schematics of the CRISPR/Cas9 design to generate D. melanogaster and D. sechellia mutants for kraken and Alkbh7. Validation was performed by PCR (Figure 5—figure supplement 1—source data 1) and Sanger sequencing. The Dsec\krakenRFP mutant comprised a 1431 bp deletion (–44 to +1387 nt relative to the ATG), replaced with the 3xP3-RFP cassette. The Dsec\Alkbh7RFP mutant was a 1023 bp deletion (–84 nt to +939 nt relative to the ATG), replaced with the 3xP3-RFP cassette. (C) Quantitative RT-PCR analysis of Gal4/UAS-mediated overexpression of D. melanogaster kraken and Alkbh7. Genotypes as in Figure 5C.

Figure 5—figure supplement 1—source data 1

Original agarose gel images of PCR products used to confirm kraken and Alkbh7 mutant genotypes in D. melanogaster and D. sechellia.

https://cdn.elifesciences.org/articles/111773/elife-111773-fig5-figsupp1-data1-v1.pdf
Figure 5—figure supplement 2
Control survival curves in the absence of octanoic acid (OA).

(A) Survival curves of adult flies of the indicated genotypes tested in the plate assay without OA. Each replicate consisted of ten 2- to 7-day-old female flies. N replicates ≥5, n flies ≥50. All genotypes display full viability, rendering data points invisible beneath the topmost displayed genotype (UAS-krakenRNAi). Genotypes as in Figure 5A and B. (B) Survival curves of wild-type (Dsec07), and kraken (Dsec\krakenRFP) and Alkbh7 (Dsec\Alkbh7RFP) mutant D. sechellia on homogenized noni pulp. N=50 per strain. Significance is based on the resulting mixed-effects Cox regression model. NS p>0.05. (C) Survival curves of kraken (Dsec\krakenRFP, top) and Alkbh7 (Dsec\Alkbh7RFP, bottom) mutant D. sechellia compared to wild-type (Dsec07) flies at 30°C, 33°C, 36°C. N≥50 per strain/condition. Statistics as in B.

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  1. Michele Marconcini
  2. Steeve Cruchet
  3. Srishti Goswami
  4. Raghuvir Viswanatha
  5. Matthew Butnaru
  6. Joydeep De
  7. Camilla Roselli
  8. Dafni Hadjieconomou
  9. Norbert Perrimon
  10. Stephanie E Mohr
  11. Richard Benton
(2026)
Intersecting experimental evolution and CRISPR screens to identify novel toxin resistance loci
eLife 15:RP111773.
https://doi.org/10.7554/eLife.111773.3