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Nuclear response to divergent mitochondrial DNA genotypes modulates the interferon immune response

  • M. Isabel G. Lopez Sanchez ,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    isabel.lopez@unimelb.edu.au (MIGLS); i.trounce@unimelb.edu.au (IAT)

    Affiliations Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia

  • Mark Ziemann,

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliations Department of Diabetes, Monash University Central Clinical School, The Alfred Medical Research and Education Precinct, Melbourne, Victoria, Australia, School of Life and Environmental Sciences, Deakin University, Victoria, Australia

  • Annabell Bachem,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia

  • Rahul Makam,

    Roles Data curation, Formal analysis

    Affiliation Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia

  • Jonathan G. Crowston,

    Roles Funding acquisition, Writing – review & editing

    Affiliations Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia

  • Carl A. Pinkert,

    Roles Resources, Writing – review & editing

    Affiliation Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, Alabama, United States of America

  • Matthew McKenzie,

    Roles Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliations School of Life and Environmental Sciences, Deakin University, Victoria, Australia, Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Melbourne, Victoria, Australia, Department of Molecular and Translational Science, Monash University, Melbourne, Victoria, Australia

  • Sammy Bedoui,

    Roles Methodology, Resources, Writing – original draft, Writing – review & editing

    Affiliation Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia

  • Ian A. Trounce

    Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – original draft, Writing – review & editing

    isabel.lopez@unimelb.edu.au (MIGLS); i.trounce@unimelb.edu.au (IAT)

    Affiliations Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia

Abstract

Mitochondrial OXPHOS generates most of the energy required for cellular function. OXPHOS biogenesis requires the coordinated expression of the nuclear and mitochondrial genomes. This represents a unique challenge that highlights the importance of nuclear-mitochondrial genetic communication to cellular function. Here we investigated the transcriptomic and functional consequences of nuclear-mitochondrial genetic divergence in vitro and in vivo. We utilized xenomitochondrial cybrid cell lines containing nuclear DNA from the common laboratory mouse Mus musculus domesticus and mitochondrial DNA (mtDNA) from Mus musculus domesticus, or exogenous mtDNA from progressively divergent mouse species Mus spretus, Mus terricolor, Mus caroli and Mus pahari. These cybrids model a wide range of nuclear-mitochondrial genetic divergence that cannot be achieved with other research models. Furthermore, we used a xenomitochondrial mouse model generated in our laboratory that harbors wild-type, C57BL/6J Mus musculus domesticus nuclear DNA and homoplasmic mtDNA from Mus terricolor. RNA sequencing analysis of xenomitochondrial cybrids revealed an activation of interferon signaling pathways even in the absence of OXPHOS dysfunction or immune challenge. In contrast, xenomitochondrial mice displayed lower baseline interferon gene expression and an impairment in the interferon-dependent innate immune response upon immune challenge with herpes simplex virus, which resulted in decreased viral control. Our work demonstrates that nuclear-mitochondrial genetic divergence caused by the introduction of exogenous mtDNA can modulate the interferon immune response both in vitro and in vivo, even when OXPHOS function is not compromised. This work may lead to future insights into the role of mitochondrial genetic variation and the immune function in humans, as patients affected by mitochondrial disease are known to be more susceptible to immune challenges.

Introduction

Mitochondria generate most of the energy required for cellular function via the oxidative phosphorylation (OXPHOS) system. Biogenesis of OXPHOS protein complexes requires the coordinated expression and assembly of protein subunits encoded in the nuclear and mitochondrial genomes [1]. This represents a unique challenge, whereby genetic changes in either genome can impact the energy-generating capacity of mitochondria [2] and other mitochondrial functions.

Despite growing evidence of the role of nuclear-mitochondrial genetic interactions in metabolism and their contribution to discrete phenotypic changes [36], research models are limited due to the complexity associated with manipulating the mitochondrial genome directly [7]. Nuclear-mitochondrial genetic interactions have been studied in conplastic mice by introducing donor mtDNA into recipient strains with successive backcrossing for ten or more generations [3]. Alternatively, we and others have generated xenomitochondrial (also referred to as transmitochondrial) cytoplasmic hybrids (cybrids), whereby cells chemically-devoid of mtDNA are fused with enucleated cells for homoplasmic replacement of endogenous mtDNA [8].

Using the cybrid approach we created a panel of xenomitochondrial cybrid cell lines that contain nuclear DNA from the common laboratory mouse Mus musculus domesticus and mtDNA from Mus musculus domesticus, or exogenous mtDNA from progressively divergent mouse species Mus spretus, Mus terricolor, Mus caroli and Mus pahari [9]. Genetic variation in the mtDNA of these species spans 2–8 million years, and therefore this panel models a wide range of nuclear-mitochondrial genetic divergence that has not been achieved with other research models. Furthermore, we utilized a xenomitochondrial mouse model generated in our laboratory that harbors wild-type, C57BL/6J Mus musculus domesticus nuclear genetic background and homoplasmic mtDNA from Mus terricolor [10, 11].

Here, we investigated the transcriptomic and functional consequences of nuclear-mtDNA divergence in vitro and in vivo. RNA sequencing analysis of xenomitochondrial cybrids revealed an activation of interferon signaling pathways and an elevation of secreted interferon alpha under basal conditions, even in the absence of OXPHOS dysfunction. In contrast, xenomitochondrial mice displayed lower baseline interferon gene expression and an impairment in the interferon-dependent innate immune response upon immune challenge. Our work demonstrates that nuclear-mitochondrial genetic divergence that does not result in overt OXPHOS dysfunction can modulate the interferon immune response.

Materials and methods

Xenomitochondrial cybrid cell lines

Xenomitochondrial LM-thymidine kinase-negative fibroblast cybrid cell lines harboring nuclear DNA from Mus musculus domesticus and matching mtDNA from Mus musculus domesticus (MusMus, control; nDNAmtDNA) or exogenous mtDNA from Mus Spretus (MusSpretus), Mus terricolor (MusTerricolor), Mus caroli (MusCar) or Mus pahari (MusPahari) were generated as described previously [9, 12]. To corroborate the identity of mtDNA in xenomitochondrial cybrids, D-loop sequences of each xenomitochondrial construct were compared to the reference sequence of each rodent (Mus musculus domesticus NC_005089.1; Mus spretus NC_025952.1; Mus terricolor (also known as Mus dunni) NC_001665.2) by PCR and Sanger sequencing as described previously [13] using previously published primers [12]. A full mtDNA sequence was generated for Mus caroli as it was not previously available (GenBank accession number MK166027).

Next-generation sequencing of mitochondrial genomes

DNA was extracted using a QIAamp DNA Mini kit (Qiagen, Cat. #51304), with an on-column RNase A treatment to eliminate residual RNA. Five hundred nanograms of isolated genomic DNA underwent enzymatic fragmentation using 3 μl NEBNext dsDNA Fragmentase in a total volume of 20 μl for 30 min, followed by AMPure bead isolation and elution in 20 μl TE buffer. Fragmentation pattern was checked using Multi-NA instrument (Shimadzu, Japan). Remaining 15 μl of fragmented DNA sample underwent library preparation using NEBNext Ultra II DNA Library Prep Kit for Illumina. Barcoded libraries were pooled and underwent sequencing on MiSeq (2 x 76 bp) with version 3 reagents. Skewer (v0.2.2) [14] was used to remove 3’ bases with phred quality less than 20. BFC (version r181) was used to correct sequencing errors with a genome size setting of “3g” and otherwise default settings [15]. To assemble mtDNA, ABySS (version 1.9.0) was run with the following parameters; K-mer range: 37 41 45 and coverage threshold: 3 5 10 20. Mus musculus domesticus mtDNA was assembled into a single contig with a K-mer of 41 and coverage threshold of 20. Mus caroli mtDNA was assembled into two contigs with a K-mer of 37 and coverage threshold of 3, which could be manually merged into one contig. Sequencing of mtDNA from remaining xenomitochondrial cybrid constructs was performed as described previously [16].

The mtDNA sequence of the MusMus control cybrid cells was compared to the mtDNA sequence of Mus musculus domesticus primary fibroblasts used for the generation of this cybrid and the Mus musculus domesticus GenBank reference sequence (NC_005089.1) to verify that they were identical, and to confirm that no nucleotide changes were introduced as a result of the cybridization procedure.

Cell culture

Xenomitochondrial cybrid cell lines were maintained in RPMI-1640 medium (Cat. #11875–093, Life Technologies) supplemented with 25 mM D-glucose (final concentration), 0.2 mM uridine, 1 mM pyruvate, 10% fetal bovine serum, 100 units/mL penicillin, and 100 μg/mL streptomycin in a humidified incubator (37°C; 5% CO2). Prior to experimental procedures, cells were incubated in glucose-free RPMI-1640 medium (Cat. #11879–020, Life Technologies) supplemented with 5.5 mM D-glucose, 0.2 mM uridine, 1 mM pyruvate, 10% fetal bovine serum, 100 units/mL penicillin, and 100 μg/mL streptomycin for 48 h in a humidified incubator (37°C; 5% CO2).

Animals

All procedures involving animals in this study were approved by the Alfred Medical Research and Education Precinct Ethics Committee (Ethics number E/1822/2018-C) or the University of Melbourne Animal Ethics Committee in strict accordance with Australian governmental regulations. Wild-type C57BL/6J (control) and xenomitochondrial (xeno) mice harboring homoplasmic mtDNA from Mus terricolor [10, 11], both male and female, and aged between 6 and 12 weeks old were used (unless specified otherwise). Mice were housed under specific-pathogen-free conditions for HSV-1 infection experiments.

Cellular proliferation and doubling time determination

Cell proliferation was assessed by counting cells manually using a hemocytometer at 24 h intervals between 1–6 days. The ‘exponential growth’ non-linear regression model and the fitting method of ‘least squares (ordinary fit)’ was used to automatically calculate doubling time for each set of replicate counts for each cell line, using Prism 7.0 software. Statistical analysis was conducted using the unpaired, two tailed, Student’s t-test and the Holm-Sidak method to correct for multiple comparisons.

High-resolution mitochondrial respiration

Basal, ADP-stimulated complex I, convergent complex I + II and maximal oxygen consumption rates were measured in each xenomitochondrial cybrid cell line using 4 x 106 cells per chamber in a high-resolution Oroboros Oxygraph 2 K (Oroboros Instruments) as described previously [17]. Briefly, respiration was measured by sequential injection of glutamate (10 mM), malate (2 mM), digitonin (20 μg/ml), ADP (1 mM), succinate (10 mM), oligomycin (2.5 μM), CCCP (1.5 μM), rotenone (1 μM) and antimycin A (2 μM). Residual oxygen consumption (following addition of antimycin A) and leak respiration (after addition of oligomycin) were measured to verify an absence of non-mitochondrial respiration and to determine proton leak, respectively. Measurements were normalized to cell number per chamber and data were analyzed using the Datlab2 software (Oroboros Instruments).

Measurement of mitochondrial superoxide generation

Cells were incubated with 2 μg/ml Hoechst 33342 (Thermo Fisher Scientific, H1399) and 3 μM MitoSOX (Thermo Fisher Scientific, M36008) in 1x Hank’s Balanced Salt Solution (Thermo Fisher) for 20 min at 37⁰C and 5% CO2. Cells were imaged every 30 min using an ArrayScan Vti High Content Analyzer (Thermo Scientific, MA, USA), with Hoechst 33342 and MitoSOX fluorescence excited with 365 nm and 549 nm laser lines respectively. Fluorescence measurements were averaged from eight wells containing approximately 5 x 104 cells per well. Significant differences were determined by ANOVA with Tukey's post-hoc multiple comparison tests.

Blue Native PAGE (BN-PAGE)

40 μg of isolated mitochondria were solubilized for 30 min on ice in 50 μl of 1% (v/v) Triton X-100 (Sigma) or 1% (w/v) digitonin (Merck, NJ, USA). Samples were processed as described previously [18] and resolved on a 4–13% (w/v) BN-PAGE gel at 100 V / 5 mA for approximately 14 h at 4°C. Native proteins were transferred to PVDF membrane using a semi-dry method, blocked with 10% (w/v) skim-milk in 1x PBS / 0.05% (v/v) Tween-20, then probed overnight at 4°C with primary antibodies against OXPHOS complex II (SDHA, Abcam, ab14715), complex IV (COI, Abcam, ab14705), complex I and I/III2 super complex (NDUFA9, raised in rabbits [19]) and complex V (ATP5a, Abcam, ab14748). Immunoblotting membranes were subsequently incubated with the appropriate horseradish peroxidase-coupled secondary antibody and proteins visualized with ECL (GE Healthcare, Little Chalfont, Buckinghamshire, UK) using a Microchemi 4.2 Gel Imaging System (DNR Bio-imaging Systems, Jerusalem, Israel) with a 16-bit CCD camera. Densitometric analyses were conducted on three separate immunoblots, with the band intensities obtained for each MusMus control set as 100% protein expression for each OXPHOS complex detected. Protein abundance in each xenomitochondrial cybrid construct is shown relative to this control.

Fluorescence confocal microscopy

Xenomitochondrial cybrid cell lines were plated onto 13 mm diameter glass coverslips and allowed to attach overnight. Cells were incubated with 100 nM MitoTrackerTM Red CMXRos (Cat. #M7512, Thermo Fisher Scientific) and Hoechst 33342 (1 μg/ml; Invitrogen) and processed as described previously [20]. Images were acquired using a laser scanning confocal microscope (Nikon A1r) with a 63x/1.40 oil immersion objective. Analysis of mitochondrial network descriptors, aspect-ratio -to measure mitochondrial length, and form factor—a measure of mitochondrial length and branching was conducted using Image J version 1.51p [21].

RNA sequencing

Total RNA was extracted from three independent biological replicates from each xenomitochondrial cybrid using the miRNeasy RNA extraction kit (Qiagen, Cat. #217004) with an on-column DNase I (Qiagen) treatment according to manufacturer’s instructions. Transcriptome-wide mRNA sequencing was performed by the Australian Genome Research Facility (Melbourne, Australia). RNA purity and integrity were confirmed by BioAnalyser (Agilent, CA). Libraries were created with TruSeq RNA v2 kit (Illumina), barcoded and sequenced on a HiSeq 2000 sequencer (Illumina), producing 100 bp single-end reads, with a depth of at least 20 million reads per sample.

The primary sequence data were generated using the Illumina bcl2fastq 1.8.4 pipeline. Reads were trimmed for quality using a minimum phred value of 20 and minimum length of 18 using Skewer version 0.2.2 [14]. Reads were mapped with STAR [22] to the Ensembl mouse reference genome (GRCm38). FeatureCounts [23] was used to count reads mapped to exons of genes with a minimum mapping quality of 20 using Ensembl genome annotation (Mus musculus.GRCm38.77.gtf) to generate a count matrix. Genes with an average of 10 reads or less per sample across the experiment were excluded from downstream analysis.

RNA sequencing differential gene expression.

To quantify changes in gene expression between xenocybrid cell lines, the MusMus sample was set as baseline. The count matrix underwent differential analysis with the EdgeR package [24] comparing MusMus control to all other xenomitochondrial cybrid sample groups and heatmaps of scaled gene-wise count data were generated in R. Pathway analysis was conducted with Pre-Ranked Gene Set Enrichment Analysis [25] using curated gene sets from Reactome [26]. Genes were ranked from most up-regulated to most down-regulated by multiplying the sign of the log2 fold change by the inverse of the p value as described previously [27]. To visualize pathway regulation across several contrasts while retaining inter-sample variance information, we used a differential rank sum approach we call “gsheat”. Differential rank-sum analysis was performed using Limma to prioritize gene sets with the smallest p values across the contrasts. Gsheat code has been deposited to Github (https://github.com/markziemann/gsheat).

qRT-PCR

RNA was isolated using the miRNeasy RNA extraction kit (Qiagen, Cat. #217004) with an on-column DNase I (Qiagen) treatment to eliminate contaminating genomic DNA, according to manufacturer’s instructions, and cDNA was prepared using the QuantiTect Reverse Transcription Kit (Qiagen 205311). qRT-PCR was performed as described previously [28] using a StepOnePlus Real-Time PCR System (Thermo Fisher Scientific) and TaqMan gene expression assays: Ifi44 Mm00505670_m1; Isg15 Mm01705338_s1; Irf7 Mm00516793_g; Stat2 Mm00490880_m1; Actb 4352341E. Relative quantitation (fold RNA change) was obtained by applying the comparative CT method [29] and normalized against the level of the reference gene β-Actin (Actb).

ELISA

IFNα was detected using the IFNα mouse ELISA kit (Thermo Fisher Scientific, Cat# BMS6027) according to manufacturer’s instructions.

HSV-1 infection and titer determination

Age-matched (6–12 weeks old), wild-type and xeno female mice were infected with 106 plaque-forming units (PFU) of HSV-1 strain KOS on the skin by flank scarification [30]. Briefly, the left flank of anesthetized mice was shaved, and remaining hair removed using commercially available depilation cream. A small area of skin was then abraded for virus inoculation and mice were bandaged for 48 h. Infectious virus from 0.5 x 2-cm pieces of full-thickness skin from the site of infection was measured by the standard assay of PFU as previously described [30]. The HSV-1 KOS strain was propagated and titrated using Vero cells (CSL, Parkville, Australia).

Statistical analysis

Results are presented as the mean ± SD or mean ± SEM as indicated on the legend. Statistical analysis was performed with Prism 5.01 software (GraphPad Software Inc.) using two-tailed, unpaired Student’s t-test unless otherwise indicated. Exact p values are indicated in the legend, a p value of <0.05 was considered as significant.

Results

Generation of mouse xenomitochondrial cybrids

To investigate the nuclear genetic response to divergent mitochondrial genotypes we generated five xenomitochondrial mouse fibroblast cybrid lines harboring nuclear DNA (nDNA) from Mus musculus domesticus and mtDNA from Mus musculus domesticus (MusMus, control; nDNAmtDNA) or exogenous mtDNA from progressively divergent rodent species Mus spretus (MusSpretus), Mus terricolor (MusTerricolor), Mus caroli (MusCaroli) or Mus pahari (MusPahari) (S1A Fig). The genetic divergence amongst the mtDNA donors relative to Mus musculus domesticus was determined by whole mtDNA next-generation sequencing (Table 1). This analysis confirmed an increasing nuclear-mitochondrial genetic divergence as a result of the introduction of exogenous mtDNA into a common Mus musculus domesticus nuclear genetic background (S1B Fig).

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Table 1. mtDNA amino-acid differences between xenomitochondrial cybrid constructs.

https://doi.org/10.1371/journal.pone.0239804.t001

Divergent mtDNA genotypes decrease OXPHOS protein levels but do not compromise bioenergetic function

As mtDNA encodes genes for core OXPHOS subunits, we measured mitochondrial respiration to determine the functional consequences of divergent mtDNA in xenomitochondrial cybrids with Mus musculus nuclear background. Basal and maximal respiration were measured in permeabilized cells (Fig 1A). Unexpectedly, significant increases in basal and maximal respiratory rates were detected in the closest-related cybrid MusSpretus relative to MusMus control, while no changes were detected in MusTerricolor or MusCaroli cybrids (Fig 1A). A trend for decreased maximal respiration was observed in the most divergent cybrid MusPahari (73% of MusMus control) but it did not reach statistical significance. OXPHOS complex protein levels were analyzed by blue-native PAGE (BN-PAGE; Fig 1B and S2 Fig). Decreased complex I and V levels were detected in MusCaroli and MusPahari cybrids, while complex IV levels were decreased in the most divergent cybrid MusPahari relative to control (Fig 1B and S2 Fig). Complex III protein abundance was decreased in MusCaroli relative to control (S2 Fig).

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Fig 1. Divergent mtDNA genotypes decrease OXPHOS protein levels but do not compromise bioenergetic function.

(A) Oxygen consumption rates were measured in digitonin-permeabilized xenomitochondrial cybrids. Basal and maximal respiration rates are increased in MusSpretus compared with MusMus control (p = 0.009 and 0.031 respectively). Data presented as mean ± SD (n ≥ 3); *p < 0.05 and **p < 0.01 by unpaired, two tailed, Student’s t-test. (B) OXPHOS complexes protein levels in xenomitochondrial cybrids. Densitometric analysis of BN-PAGE immunoblots showing a decrease in complex I protein abundance in MusCaroli and MusPahari (p <0.001 for both samples) and reduced complex IV levels in MusPahari (p <0.001) relative to MusMus control. Protein abundance was normalized to nuclear-encoded complex II expression levels. Data presented as mean ± SD (n  =  3); **p < 0.01 by unpaired, two tailed, Student’s t-test. (C) Doubling time is similar amongst xenomitochondrial cybrids. (D) Superoxide production rates were similar in xenomitochondrial cybrids. Rates were determined by changes in fluorescence intensity (ΔF.I.) using MitoSOX over a 30 min period. Data presented as mean ± SEM (n  =  3). (E) Mitochondrial network aspect-ratio and form factor are unchanged in xenomitochondrial cybrids. (F) Representative images of xenomitochondrial cybrid cells stained with MitoTrackerTM Red CMXRos (mitochondria; red) and Hoechst 33342 (nucleus; blue). Images were acquired using a laser scanning confocal microscope (Nikon A1r) with a 63x/1.40 oil immersion objective. Scale bar is 10 μm.

https://doi.org/10.1371/journal.pone.0239804.g001

Additional parameters of cell and mitochondrial health were assessed in xenomitochondrial cybrids. Doubling time and mitochondrial superoxide production were similar amongst all cybrids (Fig 1C and 1D). Furthermore, an assessment of cellular morphology and mitochondrial network structure by confocal microscopy, using MitoTrackerTM Red and Hoechst 33342 to stain mitochondria and nuclei respectively, did not reveal overall morphological changes (Fig 1E and 1F). Taken together, these results indicate that the presence of divergent mtDNA does not compromise overall cellular health or mitochondrial bioenergetic function, despite significant decreases in OXPHOS complex protein levels in highly divergent cybrids.

Divergent mtDNA genotypes induce interferon pathway gene expression

Next, we used RNA sequencing to elucidate the transcriptomic changes associated with nuclear-mtDNA divergence in xenomitochondrial cybrids. We used three biological replicates per xenomitochondrial cybrid and generated 20 million reads per sample. Differentially-expressed genes corrected for false discovery rate (FDR < 0.05) ranged between 3,364 in MusTerricolor to 6,147 in MusPahari relative to MusMus control (Table 2). Notably, despite MusSpretus having the most closely related mtDNA to MusMus, gene expression in this cybrid was markedly different to control cybrid, as we detected 4,748 genes differentially expressed between these two constructs.

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Table 2. Number of differentially-expressed genes (FDR<0.05) in the up and down direction in each xenomitochondrial cybrid cell line against MusMus control as determined by edgeR.

https://doi.org/10.1371/journal.pone.0239804.t002

Gene set enrichment analysis revealed an enrichment of the interferon signaling pathway, including interferon alpha, beta, gamma and cytokine signaling in xenomitochondrial cybrids relative to MusMus control cybrid (Fig 2A). Enrichment of this pathway was highest in MusSpretus and MusTerricolor cybrids. The most highly expressed interferon-stimulated genes (ISGs) included genes with direct antiviral activity (Ifi44, Isg15, Ifit1, Ifit3, Oas, Rtp4), cytoplasmic DNA and RNA sensors (Ddx58, Ifi203, Ifi204) and transcription factors that enhance the antiviral response (Irf7, Stat1 and Stat2) (Fig 2A). These results were corroborated in the cybrids with the highest interferon signal (MusSpretus and MusTerricolor) using three representative ISGs (Ifi44, Isg15 and Irf7) by qRT-PCR (Fig 2B). Interferon alpha (IFNα) production was also increased in MusSpretus and MusTerricolor cybrids compared to control cybrid, as measured by ELISA (Fig 2C), indicating that increased levels of ISGs also results in higher production of IFNα in these cells. Together, these results are consistent with an enhanced type I interferon cellular response in xenomitochondrial cybrid cells.

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Fig 2. Divergent mtDNA genotypes induce interferon pathway gene expression.

(A) Pathway analysis from RNA sequencing using Reactome gene sets across xenomitochondrial cybrids relative to MusMus control. Interferon signaling pathways were the most differentially expressed pathways. GSEA-P FDR<0.05 for all gene sets shown. Heatmap shows expression of ISGs in xenomitochondrial cybrids relative to MusMus control. (B) qRT-PCR analysis of representative ISGs Ifi44, Isg15 and Irf7. Relative gene expression is up-regulated in MusSpretus and MusTerricolor xenomitochondrial cybrids relative to MusMus (Ifi44 p = 0.002, 0.003; Isg15 p <0.001, 0.003; Irf7 p = 0.003, 0.048 respectively). Gene expression was normalized to Actb levels. (C) Interferon alpha (IFNα) secretion is increased in supernatant from MusSpretus and MusTerricolor cybrids relative to MusMus (p = 0.006 and 0.014 respectively) as determined by ELISA. Data for B and C are presented as mean ± SD (n ≥ 3); *p < 0.05 and **p < 0.01 by unpaired, two tailed, Student’s t-test.

https://doi.org/10.1371/journal.pone.0239804.g002

Divergent mtDNA suppresses type I interferon activation in vivo

To investigate the biological significance of nuclear-mtDNA divergence in vivo, we utilized the mouse version of the xenomitochondrial cybrid MusTerricolor. Although MusSpretus showed the highest activation of the interferon pathway, we did not succeed in producing the corresponding xeno mouse line [10]. Xenomitochondrial “xeno” mice harbor wild-type, C57BL/6J Mus musculus domesticus nuclear DNA and homoplasmic mtDNA from Mus terricolor [10, 11]. An initial characterization of the xeno mouse had not revealed an overt phenotype in animals aged 14 months-old or younger [31].

Given the new insights we obtained by RNA sequencing, indicating an activation of ISGs in xenomitochondrial cybrids in vitro, we measured steady-state levels of representative ISGs (Ifi44, Irf7, Isg15, Stat2) in the kidney and the liver (Fig 3A and 3B respectively) from 3-month-old, sex-matched xeno and wild-type C57BL/6J (“control”) mice by qRT-PCR. Unexpectedly and contrary to our in vitro results, all ISGs measured were down-regulated in the kidney from xeno mice relative to control mice (Fig 3A). Additionally, Ifi44 and Isg15 were decreased in the liver from xeno mice (Fig 3B). Taken together, this suggests a lower baseline ISG expression in xeno mice.

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Fig 3. Divergent mtDNA suppresses type I interferon activation in vivo.

Steady-state levels of representative ISGs (Ifi44, Irf7, Isg15, Stat2) in the kidney (A) and the liver (B) from 3-month-old, sex-matched wild-type C57BL/6J (“control”) and MusTerricolor xenomitochondrial (“xeno”) mice by qRT-PCR. All ISGs measured were down-regulated in the kidney from xeno mice relative to control mice (Ifi44 p < 0.001, Irf7 p< 0.001, Isg15 p = 0.025 and Stat2 p = 0.036). Additionally, Ifi44 and Isg15 were decreased in the liver from xeno mice (p < 0.001 and p = 0.003 respectively). Data are presented as mean ± SD, n ≥ 4 mice per experimental group; *p < 0.05, **p < 0.01 and ***p < 0.001 by unpaired, two tailed, Student’s t-test. (C) Mice were infected on the flank skin with HSV-1 and viral titers were measured 2 days post-infection. Viral titers in xeno mice were increased compared to control mice. Data are presented as mean ± SD, n = 12 mice (control) and n = 10 mice (xeno); p = 0.045 by unpaired, two tailed, Student’s t-test. (D) ISG expression in the brachial and axillary lymph nodes following HSV-1 infection. Ifi44, Irf7 and Stat2 mRNA levels were decreased in brachial lymph nodes of xeno mice 2 days post-HSV1 infection (Ifi44 p < 0.001, Irf7 p = 0.009 and Stat2 p = 0.048). Irf7, Isg15 and Stat2 mRNA levels were decreased in axillary lymph nodes 7 days post-infection (Irf7 p  = 0.005, Isg15 p = 0.002 and Stat2 p = 0.019). ISG expression was measured in one naive control mouse (Control—HSV-1) to confirm interferon activation upon infection. Data are presented as mean ± SD, n ≥ 4 mice per experimental group; *p < 0.05, **p < 0.01 by unpaired, two tailed, Student’s t-test.

https://doi.org/10.1371/journal.pone.0239804.g003

Interferons act as a critical first line of defense against viral infections [32, 33]. Therefore, we challenged xeno mice with herpes simplex virus type 1 (HSV-1), as the immunological control of this virus is strongly dependent on type I interferons [34, 35]. Mice were infected epicutaneously with HSV-1, as this mimics the natural route of infection during which the virus can undergo rounds of local replication in the skin [30]. Type I interferons are secreted within hours at the site of infection and can be detected for several days following local HSV infection [36]. Adaptive immunity, such as T cells that are involved in viral clearance, is initiated from day 2 onwards in the skin-draining lymph nodes [30, 37]. The immune system of wild-type mice generally can clear the virus from the skin within 7 to 8 days, whereas mice unable to respond to type I interferons show increased viral titers, spread of the virus to the central nervous system and succumb to the infection [38, 39].

Similar to control animals, xeno mice did not show severe signs of disease following epicutaneous HSV-1 infection. However, viral titers in xeno mice were significantly increased compared to control mice on day 2 post-infection, suggesting a decreased innate immune response (Fig 3C). To further investigate this phenomenon, we analyzed ISG expression of the skin-draining lymph nodes following HSV-1 infection. As expected, ISG expression was increased following HSV-1 infection of control mice relative to naïve control (Fig 3D). Interestingly, we observed a decrease in ISG expression in brachial lymph nodes of xeno mice 2 days following infection, with Ifi44, Irf7, and Stat2 mRNA levels reduced. Similarly, Irf7, Isg15 and Stat2 mRNA levels were decreased in axillary lymph nodes of xeno mice 7 days post-infection relative to control mice (Fig 3D). Collectively, these results indicate that nuclear-mtDNA divergence in xeno mice results in lower baseline ISG expression, and a subsequent impairment in the interferon-mediated innate immune response upon epicutaneous infection with HSV-1, which results in limited viral control.

Discussion

Nuclear-mitochondrial genetic communication is an intrinsic component of cellular function. Here we show that nuclear-mitochondrial genetic divergence due to the introduction of exogenous mtDNA can result in major transcriptomic and functional changes both in vitro and in vivo, even when OXPHOS function is not compromised.

Xenomitochondrial cybrids did not display impaired OXPHOS function, despite significant decreases in OXPHOS complex protein abundance. Notably, their transcriptomic profile revealed an activation of interferon signaling pathways even in the absence of immune challenge. A similar activation of the type I interferon pathway has been described in pathogenic contexts. For instance, in response to mtDNA instability due to deficiency in mitochondrial transcription factor a (TFAM) [40], mtDNA depletion [41] or as a consequence of increased levels of unstable mitochondrial double-stranded RNA species [42]. Our work demonstrates that the interferon response can be activated independently of genetic mutations or manipulations that impair directly the stability of mitochondrial DNA or RNA.

Our work indicates that nuclear-mitochondrial genetic divergence that does not result in overt OXPHOS dysfunction can modulate the interferon immune response, although the mechanism remains to be elucidated. Contrary to our in vitro results, xeno mice displayed lower baseline ISG expression, and an impairment in the interferon-dependent innate immune response upon immune challenge with HSV-1, which resulted in decreased viral control. The L-cell nucleus of the cybrids is aneuploid, with a modal number of 45 chromosomes [43], which we speculate may influence the nuclear response observed in vitro compared to the euploid nucleus of xeno mouse cells. Our results show that the interferon-dependent innate immune response is susceptible to modulation by subtle differences in OXPHOS consequent to nuclear-mtDNA divergence, and that the direction of this modulation may also depend on the nuclear background. Additional work is required to understand how the interferon response may change in different tissues of the xeno mouse when aging or other relevant stressors are imposed.

Studies in conplastic mouse strains harboring the nuclear genome of C57BL/6 mice and mtDNA of wild-type NZB/OlaHsd mice have shown effects on metabolic function and aging [5], whereas mitochondrial-nuclear exchange (MNX) mice that harbor mtDNA from the C3H/HeN strain and the nuclear genome of the C57BL/6 strain display higher reactive oxygen species associated with susceptibility to pathological changes in the heart [6]. These examples illustrate that nuclear-mitochondrial genetic divergence can result in significant phenotypic effects, ranging from enhanced metabolic fitness to pathological changes. Our work adds the interferon response as a new pathway warranting investigation in such models.

There is growing evidence that patients affected by mitochondrial disease experience immune dysfunction and suffer from recurrent infections which can be life-threatening [44]. However, current mouse models of primary mitochondrial disease may not recapitulate this emerging aspect of mitochondrial disease in humans. The xeno mouse may provide a useful model to investigate the immune response upon additional mitochondrial challenges, such as aging.

The pathogenesis of mitochondrial diseases is traditionally ascribed to bioenergetic failure or oxidative stress. By revealing an unexpected link between mtDNA genotype and the interferon response, our work offers a new perspective on mitochondrial diseases where an increased susceptibility to viral infection is well known. Further work in models of both non-pathogenic and disease-causing mtDNA variants is warranted to investigate potential effects on the interferon immune response, as we speculate that nuclear-mitochondrial interactions may contribute to inter-individual differences seen in immune response between healthy humans.

Supporting information

S1 Fig. Generation of mouse xenomitochondrial cybrids.

(A) Xenomitochondrial LM-thymidine kinase-negative fibroblast cybrid lines were generated by fusion of Mus musculus domesticus (Mus musculus) cells chemically devoid of mtDNA with enucleated cells harboring mtDNA from Mus musculus domesticus (MusMus; control) or exogenous mtDNA from Mus spretus (MusSpretus), Mus terricolor (MusTerricolor), Mus caroli (MusCaroli) and Mus pahari (MusPahari) to model progressively-increasing nuclear-mitochondrial genetic divergence. (B) Maximum parsimony phylogenetic tree generated from whole mtDNA sequences using Clustal Omega [45] and NJPlot software [46] show the genetic relationship between xenomitochondrial cybrid constructs. Bootstrap values are shown above the nodes (%, from 10,000 trials). Scale bar indicates percentage of substitutions per site. The tree is rooted using Lepus granatensis mtDNA sequence data (accession number NC_024042.1).

https://doi.org/10.1371/journal.pone.0239804.s001

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S2 Fig. OXPHOS complexes protein abundance in xenomitochondrial cybrids by BN-PAGE.

Densitometric analysis of OXPHOS complexes III (A) and V (B) by BN-PAGE show a decrease in complex III protein levels in MusCaroli and reduced complex V levels in MusCaroli and MusPahari relative to MusMus control. Protein abundance was normalized to nuclear-encoded complex II expression levels. Data presented as mean ± SD (n  =  3). (C) Representative BN-PAGE immunoblot.

https://doi.org/10.1371/journal.pone.0239804.s002

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S1 Table. Data used to generate high-resolution mitochondrial respiration graphs showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s003

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S2 Table. Quantification of densitometric analysis from BN-PAGE immunoblots showing mean ± standard deviation relative to MusMus control (set as 100% protein expression).

https://doi.org/10.1371/journal.pone.0239804.s004

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S3 Table. Data used to generate doubling time graph showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s005

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S4 Table. Data used to generate superoxide production graph showing mean ± SEM.

https://doi.org/10.1371/journal.pone.0239804.s006

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S5 Table. Data used to generate mitochondrial network aspect-ratio and form factor graph showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s007

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S6 Table. Data used to generate graph showing log2 RNA fold change of representative ISGs showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s008

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S7 Table. ELISA data used to generate IFNα production graph showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s009

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S8 Table. Data used to generate graph showing log2 RNA fold change of representative basal ISG expression in kidney and liver showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s010

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S9 Table. Data used to generate viral titers graph showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s011

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S10 Table. Data used to generate graph showing log2 RNA fold change of representative ISGs in brachial and axillary lymph nodes following HSV-1 infection, showing mean ± standard deviation.

https://doi.org/10.1371/journal.pone.0239804.s012

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Acknowledgments

We thank and acknowledge the Australian Genome Research Facility (AGRF) for high throughput sequencing, Sheridan Keene for providing valuable technical assistance and Stephanie Lopez for assistance with figure preparation.

References

  1. 1. Hoogenraad NJ, Ward LA, Ryan MT. Import and assembly of proteins into mitochondria of mammalian cells. Biochim Biophys Acta. 2002;1592(1):97–105. pmid:12191772
  2. 2. Wallace DC. A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: a dawn for evolutionary medicine. Annu Rev Genet. 2005;39:359–407. pmid:16285865
  3. 3. Yu X, Gimsa U, Wester-Rosenlof L, Kanitz E, Otten W, Kunz M, et al. Dissecting the effects of mtDNA variations on complex traits using mouse conplastic strains. Genome Res. 2009;19(1):159–65. pmid:19037013
  4. 4. Tourmente M, Hirose M, Ibrahim S, Dowling DK, Tompkins DM, Roldan ERS, et al. mtDNA polymorphism and metabolic inhibition affect sperm performance in conplastic mice. Reproduction. 2017;154(4):341–54. pmid:28676531
  5. 5. Latorre-Pellicer A, Moreno-Loshuertos R, Lechuga-Vieco AV, Sanchez-Cabo F, Torroja C, Acin-Perez R, et al. Mitochondrial and nuclear DNA matching shapes metabolism and healthy ageing. Nature. 2016;535(7613):561–5. pmid:27383793
  6. 6. Fetterman JL, Zelickson BR, Johnson LW, Moellering DR, Westbrook DG, Pompilius M, et al. Mitochondrial genetic background modulates bioenergetics and susceptibility to acute cardiac volume overload. Biochem J. 2013;455(2):157–67. pmid:23924350
  7. 7. Patananan AN, Wu TH, Chiou PY, Teitell MA. Modifying the Mitochondrial Genome. Cell Metab. 2016;23(5):785–96. pmid:27166943
  8. 8. Trounce I, Wallace DC. Production of transmitochondrial mouse cell lines by cybrid rescue of rhodamine-6G pre-treated L-cells. Somat Cell Mol Genet. 1996;22(1):81–5. pmid:8643997
  9. 9. McKenzie M, Chiotis M, Pinkert CA, Trounce IA. Functional respiratory chain analyses in murid xenomitochondrial cybrids expose coevolutionary constraints of cytochrome b and nuclear subunits of complex III. Mol Biol Evol. 2003;20(7):1117–24. pmid:12777531
  10. 10. McKenzie M, Trounce IA, Cassar CA, Pinkert CA. Production of homoplasmic xenomitochondrial mice. Proc Natl Acad Sci U S A. 2004;101(6):1685–90. pmid:14745024
  11. 11. Trounce IA, McKenzie M, Cassar CA, Ingraham CA, Lerner CA, Dunn DA, et al. Development and initial characterization of xenomitochondrial mice. J Bioenerg Biomembr. 2004;36(4):421–7. pmid:15377882
  12. 12. McKenzie M, Trounce I. Expression of Rattus norvegicus mtDNA in Mus musculus cells results in multiple respiratory chain defects. J Biol Chem. 2000;275(40):31514–9. pmid:10908563
  13. 13. McKenzie M, Chiotis M, Hroudova J, Lopez Sanchez MI, Lim SC, Cook MJ, et al. Capture of somatic mtDNA point mutations with severe effects on oxidative phosphorylation in synaptosome cybrid clones from human brain. Hum Mutat. 2014;35(12):1476–84. pmid:25219341
  14. 14. Jiang H, Lei R, Ding SW, Zhu S. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinformatics. 2014;15:182. pmid:24925680
  15. 15. Li H. BFC: correcting Illumina sequencing errors. Bioinformatics. 2015;31(17):2885–7. pmid:25953801
  16. 16. Lee WT, Sun X, Tsai TS, Johnson JL, Gould JA, Garama DJ, et al. Mitochondrial DNA haplotypes induce differential patterns of DNA methylation that result in differential chromosomal gene expression patterns. Cell Death Discov. 2017;3:17062. pmid:28900542
  17. 17. Van Bergen NJ, Blake RE, Crowston JG, Trounce IA. Oxidative phosphorylation measurement in cell lines and tissues. Mitochondrion. 2014;15:24–33. pmid:24657935
  18. 18. Lim SC, Hroudova J, Van Bergen NJ, Lopez Sanchez MI, Trounce IA, McKenzie M. Loss of mitochondrial DNA-encoded protein ND1 results in disruption of complex I biogenesis during early stages of assembly. FASEB J. 2016;30(6):2236–48. pmid:26929434
  19. 19. Lazarou M, McKenzie M, Ohtake A, Thorburn DR, Ryan MT. Analysis of the assembly profiles for mitochondrial- and nuclear-DNA-encoded subunits into complex I. Mol Cell Biol. 2007;27(12):4228–37. pmid:17438127
  20. 20. Davies SM, Lopez Sanchez MI, Narsai R, Shearwood AM, Razif MF, Small ID, et al. MRPS27 is a pentatricopeptide repeat domain protein required for the translation of mitochondrially encoded proteins. FEBS Lett. 2012;586(20):3555–61. pmid:22841715
  21. 21. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9(7):671–5. pmid:22930834
  22. 22. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21. pmid:23104886
  23. 23. Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923–30. pmid:24227677
  24. 24. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40. pmid:19910308
  25. 25. Subramanian A, Kuehn H, Gould J, Tamayo P, Mesirov JP. GSEA-P: a desktop application for Gene Set Enrichment Analysis. Bioinformatics. 2007;23(23):3251–3. pmid:17644558
  26. 26. Fabregat A, Sidiropoulos K, Garapati P, Gillespie M, Hausmann K, Haw R, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016;44(D1):D481–7. pmid:26656494
  27. 27. Rafehi H, Balcerczyk A, Lunke S, Kaspi A, Ziemann M, Kn H, et al. Vascular histone deacetylation by pharmacological HDAC inhibition. Genome Res. 2014;24(8):1271–84. pmid:24732587
  28. 28. Lopez Sanchez MIG, Waugh HS, Tsatsanis A, Wong BX, Crowston JG, Duce JA, et al. Amyloid precursor protein drives down-regulation of mitochondrial oxidative phosphorylation independent of amyloid beta. Sci Rep. 2017;7(1):9835. pmid:28852095
  29. 29. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8. pmid:11846609
  30. 30. van Lint A, Ayers M, Brooks AG, Coles RM, Heath WR, Carbone FR. Herpes simplex virus-specific CD8+ T cells can clear established lytic infections from skin and nerves and can partially limit the early spread of virus after cutaneous inoculation. J Immunol. 2004;172(1):392–7. pmid:14688347
  31. 31. Cannon MV, Dunn DA, Irwin MH, Brooks AI, Bartol FF, Trounce IA, et al. Xenomitochondrial mice: investigation into mitochondrial compensatory mechanisms. Mitochondrion. 2011;11(1):33–9. pmid:20638486
  32. 32. Isaacs A, Lindenmann J. Virus interference. I. The interferon. Proc R Soc Lond B Biol Sci. 1957;147(927):258–67. pmid:13465720
  33. 33. Nagano Y, Kojima Y. [Inhibition of vaccinia infection by a liquid factor in tissues infected by homologous virus]. C R Seances Soc Biol Fil. 1958;152(11):1627–9. pmid:13639454
  34. 34. Greyer M, Whitney PG, Stock AT, Davey GM, Tebartz C, Bachem A, et al. T Cell Help Amplifies Innate Signals in CD8(+) DCs for Optimal CD8(+) T Cell Priming. Cell Rep. 2016;14(3):586–97. pmid:26774484
  35. 35. Mittnacht S, Straub P, Kirchner H, Jacobsen H. Interferon treatment inhibits onset of herpes simplex virus immediate-early transcription. Virology. 1988;164(1):201–10. pmid:2834869
  36. 36. Swiecki M, Wang Y, Gilfillan S, Colonna M. Plasmacytoid Dendritic Cells Contribute to Systemic but Not Local Antiviral Responses to HSV Infections. PLOS Pathogens. 2013;9(10):e1003728. pmid:24204273
  37. 37. Bedoui S, Whitney PG, Waithman J, Eidsmo L, Wakim L, Caminschi I, et al. Cross-presentation of viral and self antigens by skin-derived CD103+ dendritic cells. Nature immunology. 2009;10(5):488–95. pmid:19349986
  38. 38. Leib DA, Harrison TE, Laslo KM, Machalek MA, Moorman NJ, Virgin HW. Interferons regulate the phenotype of wild-type and mutant herpes simplex viruses in vivo. J Exp Med. 1999;189(4):663–72. pmid:9989981
  39. 39. Whitney PG, Makhlouf C, MacLeod B, Ma JZ, Gressier E, Greyer M, et al. Effective Priming of Herpes Simplex Virus-Specific CD8(+) T Cells In Vivo Does Not Require Infected Dendritic Cells. Journal of virology. 2018;92(3).
  40. 40. West AP, Khoury-Hanold W, Staron M, Tal MC, Pineda CM, Lang SM, et al. Mitochondrial DNA stress primes the antiviral innate immune response. Nature. 2015;520(7548):553–7. pmid:25642965
  41. 41. Widdrington JD, Gomez-Duran A, Steyn JS, Pyle A, Ruchaud-Sparagano M-H, Scott J, et al. Mitochondrial DNA depletion induces innate immune dysfunction rescued by IFN-γ. J Allergy Clin Immunol. 2017;140(5):1461–4.e8. pmid:28629747
  42. 42. Dhir A, Dhir S, Borowski LS, Jimenez L, Teitell M, Rötig A, et al. Mitochondrial double-stranded RNA triggers antiviral signalling in humans. Nature. 2018;560(7717):238–42. pmid:30046113
  43. 43. Chen TR. Cytogenetics of somatic cell hybrids. II. Modal karyotypes and mosaicism in mouse mutant cell lines: LM(tk-), A9, and Rag. Cancer Genet Cytogenet. 1987;24(1):95–107. pmid:3466673
  44. 44. Kapnick SM, Pacheco SE, McGuire PJ. The emerging role of immune dysfunction in mitochondrial diseases as a paradigm for understanding immunometabolism. Metabolism. 2018;81:97–112. pmid:29162500
  45. 45. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 2011;7:539. pmid:21988835
  46. 46. Perriere G, Gouy M. WWW-query: an on-line retrieval system for biological sequence banks. Biochimie. 1996;78(5):364–9. pmid:8905155