Constitutive activation of cellular immunity underlies the evolution of resistance to infection in Drosophila

  1. Alexandre B Leitão  Is a corresponding author
  2. Ramesh Arunkumar
  3. Jonathan P Day
  4. Emma M Geldman
  5. Ismaël Morin-Poulard
  6. Michèle Crozatier
  7. Francis M Jiggins  Is a corresponding author
  1. Department of Genetics, University of Cambridge, United Kingdom
  2. Centre de Biologie du Développement, Centre de Biologie Intégrative, University Paul Sabatier, France
5 figures, 1 table and 14 additional files

Figures

Encapsulation rate during selection for parasitoid resistance.

(A) Schematic of the experiment (B) The proportion of infected larvae that gave rise to adult flies with visible capsules. An outbred population of D. melanogaster (source, blue square) was used to …

Figure 1—source data 1

Encapsulation rate during selection for parasitoid resistance.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig1-data1-v2.xlsx
Figure 2 with 1 supplement
Changes in gene expression following selection for resistance and parasitoid infection.

(A) Summary of the comparisons shown in the other panels. (B) The change in gene expression following infection in populations maintained without parasitoid infection (x axis) compared to the …

Figure 2—source data 1

Log2 fold change in gene expression following selection and/or infection with parasitoid wasp L.boulardi.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig2-data1-v2.csv
Figure 2—figure supplement 1
Gene expression in circulating hemocytes measured by qPCR.

atilla and PPO3 expression normalized by the housekeeping gene RpL32 in populations evolved under no parasitism (blue) or high parasitism (orange). Hemocyte samples for RNA extraction were collected …

Figure 2—figure supplement 1—source data 1

Gene expression in circulating hemocytes measured by qPCR.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig2-figsupp1-data1-v2.xlsx
Figure 3 with 8 supplements
Cell states of Drosophila melanogaster larval hemocytes.

Two-dimensional UMAP projections and cell state classification. (A) All 19,344 cells combined. PLASM: plasmatocytes; MET: metabolic plasmatocyte cluster; AMP: antimicrobial peptide plasmatocyte …

Figure 3—figure supplement 1
Proportions of cells in G1, G2M, and S phase in the plasmatocyte, lamellocyte, and crystal cell clusters.
Figure 3—figure supplement 2
Expression levels (loge) of marker genes.

(A) Relative level of expression of described plasmatocyte and cell cycle genes and (B) Relative level of expression most significant marker genes for the plasmatocyte and crystal cell clusters. The …

Figure 3—figure supplement 3
Comparison of scRNA-seq data sets from this paper to those from two previously published studies (Cattenoz et al., 2020; Tattikota et al., 2020).

A reference-based label transfer was used to predict cell cluster identity in the query data set. The scale bar indicates the proportion of cells in query clusters (y axis) that are predicted to …

Figure 3—figure supplement 4
Number of cells and genes detected, unique molecular identifier count and percent mitochondrial gene expression per cell grouped by sample.

HP: high parasitism, NP: No parasitism, I: Infection and NI: no infection. Numbers following HP or NP correspond to replicate.

Figure 3—figure supplement 5
Impact of cell number and library-specific differences on data integration, cell cluster classification and estimating cluster proportions.

(A) Clustering 8,596 cells from replicate one, (B) clustering 10,784 cells from replicate three and (C) clustering 6,296 cells where 787 cells were randomly subsampled without replacement in each of …

Figure 3—figure supplement 6
Flowchart of data filtering and clustering steps.

Only cells expressing >250 features and <2500 features and cells that were either He+ or Srp+ were kept. Cells expressing high levels of sperm-cell, muscle, or fat body marker genes were identified …

Figure 3—figure supplement 7
Proportion of different cell states after infection and selection following data integration with 7716 anchors, the maximum number that can be detected.
Figure 3—figure supplement 8
Expression levels (loge) of marker genes from early rounds of clustering.

(A) Distribution of gene expression levels of described lamellocyte marker genes, for clusters identified from round three clustering. (B) Relative level of expression of described plasmatocyte and …

Figure 4 with 1 supplement
Changes in cell state following infection and adaptation to high rates of parasitism.

(A) Trajectory of lamellocyte differentiation. Plasmatocyte progenitors and lamellocytes were subclustered, the trajectories inferred from multi-dimensional principle components analysis, and the …

Figure 4—source data 1

Changes in cell state following infection and adaptation to high rates of parasitism.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig4-data1-v2.xlsx
Figure 4—figure supplement 1
Trajectory of lamellocyte differentiation following subclustering.

(A) Proportions of cells in G1, G2M, and S phase in the plasmatocyte progenitor and lamellocyte clusters. (B) Trajectory of lamellocyte differentiation inferred following cell cycle correction and …

Figure 5 with 6 supplements
Changes in circulating and lymph gland hemocytes following infection and adaptation to high parasitism rates.

(A) The proportion hemocytes that were morphologically identified as lamellocytes and (B) the concentration of total circulating hemocytes in no infection conditions (light colours) and 48 hr post …

Figure 5—source data 1

Changes in circulating and lymph gland hemocytes following infection and adaptation to high parasitism rates.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig5-data1-v2.xlsx
Figure 5—figure supplement 1
Changes in number of circulating hemocytes during artificial selection.

Proportion of lamellocytes (A) and concentration of total circulating hemocytes (B) in population evolved with no parasitism (blue bars) and with high parasitism (orange bars). Samples were …

Figure 5—figure supplement 2
Hemocyte size and atilla staining intensity in circulating hemocytes.

Hemocytes were stained for nuclei (A, hoechst 33342), Actin (A’, Phalloidin- Alexa594) and atilla (A’’, L1 antibody + Alexa488). Composite images were created for phallodin and hoechst staining to …

Figure 5—figure supplement 3
Lamellocytes differentiation state and morphology of anterior lymph gland lobes.

(a) Anterior lobe of a lymph gland from a larva from No Parasitism selection regime. Immature lamellocytes are stained with Myspheroid (Mys, green, with arrow). Mature lamellocytes are double …

Figure 5—figure supplement 4
Hemocyte concentrations during development of 3rd instar larvae.

Total number of hemocytes (A), lamellocytes (B) and lamellocyte proportions (C) in larvae 12-, 24-, 36-, and 48-hr post infection (dark colours) and corresponding controls with no infection (light …

Figure 5—figure supplement 4—source data 1

Hemocyte concentrations during development of 3rd instar larvae.

https://cdn.elifesciences.org/articles/59095/elife-59095-fig5-figsupp4-data1-v2.xlsx
Figure 5—figure supplement 5
ç Concentration of hemocytes from dissected larvae without manipulation (Circulating) and after vortexing to displace sessile hemocytes into circulation (Circulating + Sessile).

Points represent the mean of four biological replicas for each triplicate line from populations evolved with no parasitism (blue) and high parasitism (orange) selection regimes. Bar heights …

Figure 5—figure supplement 5—source data 1

Hemocyte concentrations (circulating and circulating + sessile).

https://cdn.elifesciences.org/articles/59095/elife-59095-fig5-figsupp5-data1-v2.xlsx
Figure 5—figure supplement 6
Sessile crystal cells numbers.

Number of sessile crystal cells in dorsal side of the A7 abdominal segment of larvae in male and female larvae. Dots represent the average number of crystal cells calculated from 10 larvae of each …

Tables

Key resources table
Reagent type
(species) or
resource
DesignationSource or
reference
IdentifiersAdditional
information
Software, algorithmGitHubhttps://github.com/RRID:SCR_002630
Software, algorithmLSDSchwalb et al., 2020https://cran.r-project.org/web/packages/
LSD/index.html
Software, algorithmMASTFinak et al., 2015; https://doi.org/10.1186/s13059-015-0844-5
Software, algorithmtidymodelsKuhn and Wickham, 2020; https://www.tidymodels.org/.https://www.tidymodels.org/
Software, algorithmrangerdoi:10.18637/jss.v077.i01RRID:SCR_017344https://cran.r-project.org/web/packages/ranger/index.html
Version 0.12.1
Software, algorithmRhttp://www.r-project.org/RRID:SCR_001905Versions 3.6 and 4
Software,
algorithm
EBI databasedoi: 10.1093/nar/gkz268.RRID:SCR_004727
Software, algorithmSequence Read Archivehttp://www.ncbi.nlm.nih.gov/sraRRID:SCR_004891
Software, algorithmpheatmaphttps://www.rdocumentation.org/packages/pheatmap/versions/0.2/topics/pheatmapRRID:SCR_016418
Software, algorithmArrayExpresshttp://www.ebi.ac.uk/arrayexpress/RRID:SCR_002964
Software, algorithmGene Expression Omnibushttps://www.ncbi.nlm.nih.gov/geo/RRID:SCR_005012
Software, algorithmREViGOdoi: 10.1371/journal.pone.0021800.RRID:SCR_005825
Software, algorithmgridExtraAuguie, 2017; https://CRAN.R-project.org/package=gridExtrahttps://cran.r-project.org/web/packages/gridExtra/index.html
Software, algorithmcowplotcranRRID:SCR_018081 https://cran.r-project.org/web/packages/cowplot/index.html
version 1.0.0
Software, algorithmtidyversecranRRID:SCR_019186https://CRAN.R-project.org/package=tidyverse
version 1.3.0
Software, algorithmlimmadoi: 10.1093/nar/gkv007.RRID:SCR_010943Version 3.44.3
Software, algorithmSlingshotdoi: 10.1186/s12864-018-4772-0.RRID:SCR_017012Version 1.6.1
Software, algorithmKEGGdoi: 10.1093/nar/gkj102.RRID:SCR_012773
Software, algorithmReactomedoi: 10.1093/nar/gkv1351.RRID:SCR_003485
Software, algorithmCell Rangerhttps://support.10xgenomics.com/single-cell-gene-expression/software/overview/welcomeRRID:SCR_017344Version 2.1.1
Software, algorithmSeuratdoi:10.1016/j.cell.2019.05.031RRID:SCR_007322Version 3.1.1
Software, algorithmFlyminedoi:10.1186/gb-2007-8-7-r129RRID:SCR_002694v51 2020 December
Strain, strain background
(Drosophila melanogaster)
CAMOP3This paperCAMOP3Outbred population of D. melanogaster
Antibodyanti-Atilla (mouse monoclonal)doi: 10.1556/ABiol.58.2007.Suppl.8L11 in 100
Antibodyanti-alphaPS4 (rabbit polyclonal)doi: 10.1038/nature056501 in 200
Antibodyanti-Mys (mouse monoclonal)Developmental Studies Hybridoma BankRRID:AB_528310C; Cat#:F.6G11c1 in 100
Sequence-based reagentPPO3_qPCR_2_FwThis paperqPCR primersGATGTGGACCGGCCTAACAA
Sequence-based reagentPPO3_qPCR_2_RevThis paperqPCR primersGATGCCCTTAGCGTCATCCA
Sequence-based reagentatilla_qPCR2_FwThis paperqPCR primersACCCACCAAATATGCTGAAACA
Sequence-based reagentatilla_qPCR2_RvThis paperqPCR primersTTGATGGCCGATGCACTGT
Sequence-based reagentRpL32_qPCR_F-dhttps://doi.org/10.1371/journal.ppat.1004728qPCR primersTGCTAAGCTGTCGCACAAATGG
Sequence-based reagentRpL_qPCR_R-hhttps://doi.org/10.1371/journal.ppat.1004728qPCR primersTGCGCTTGTTCGATCCGTAAC
OtherPhalloidin stainingInvitrogenRRID:AB_2315633; Cat. #: A123811 in 2000
OtherMineral oilSigma-AldrichCat#: M5904

Additional files

Supplementary file 1

Gene ontology enrichment for 173 genes that had >50% change in transcript levels after infection or selection.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp1-v2.csv
Supplementary file 2

Enriched gene ontology categories and pathways for non-lamellocyte clusters.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp2-v2.xlsx
Supplementary file 3

10x v2 library sequencing metrics.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp3-v2.csv
Supplementary file 4

Lamellocyte lineage classification with and without cell cycle correction.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp4-v2.csv
Supplementary file 5

List of marker genes for predicting lamellocyte differentiation.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp5-v2.csv
Supplementary file 6

Enriched gene ontology categories and pathways for lamellocytes.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp6-v2.xlsx
Supplementary file 7

Genes detected in scRNA-seq dataset.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp7-v2.xlsx
Supplementary file 8

Cluster markers identified from round one of clustering.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp8-v2.csv
Supplementary file 9

Cluster markers identified from round two of clustering.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp9-v2.csv
Supplementary file 10

Hemocyte classification with and without cell cycle correction.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp10-v2.csv
Supplementary file 11

Hemocyte classification using 2000 highly variable genes or all 7716 detected genes.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp11-v2.csv
Supplementary file 12

Cluster markers identified from round one of subclustering.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp12-v2.csv
Supplementary file 13

Marker genes for non-lamellocyte clusters.

https://cdn.elifesciences.org/articles/59095/elife-59095-supp13-v2.csv
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https://cdn.elifesciences.org/articles/59095/elife-59095-transrepform-v2.docx

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