Abstract
Programmed cell death (PCD) in marine microalgae was suggested to be one of the mechanisms that facilitates bloom demise, yet its molecular components in phytoplankton are unknown. Phytoplankton are completely lacking any of the canonical components of PCD, such as caspases, but possess metacaspases. Metacaspases were shown to regulate PCD in plants and some protists, but their roles in algae and other organisms are still elusive. Here, we identified and biochemically characterized a type III metacaspase from the model diatom Phaeodactylum tricornutum, termed PtMCA-IIIc. Through expression of recombinant PtMCA-IIIc in E. coli, we revealed that PtMCA-IIIc exhibits a calcium-dependent protease activity, including auto-processing and cleavage after arginine. Similar metacaspase activity was detected in P. tricornutum cell extracts. PtMCA-IIIc overexpressing cells exhibited higher metacaspase activity, while CRISPR/Cas9-mediated knockout cells had decreased metacaspase activity compared to WT cells. Site-directed mutagenesis of cysteines that were predicted to form a disulfide bond decreased recombinant PtMCA-IIIc activity, suggesting its enhancement under oxidizing conditions. One of those cysteines was oxidized, detected in redox proteomics, specifically in response to lethal concentrations of hydrogen peroxide and a diatom derived aldehyde. Phylogenetic analysis revealed that this cysteine-pair is unique and widespread among diatom type III metacaspases. The characterization of a cell death associated protein in diatoms provides insights into the evolutionary origins of PCD and its ecological significance in algal bloom dynamics.
Introduction
Diatoms are an important phytoplankton group that is responsible for about half of marine photosynthesis, playing a significant role in global biogeochemical cycles and in carbon sequestration (; ). Their evolutionary and ecological success in contemporary oceans suggests that diatoms possess sophisticated mechanisms for adaptation to diverse environmental conditions (). Diatoms can form massive blooms that are controlled by abiotic factors such as the availability of nutrients and light, and by biotic interactions with grazers, bacteria and viruses (; ; ; ; ). Bloom termination and the rapid turnover of phytoplankton were suggested to involve programmed cell death (PCD) as an important mortality mechanism ().
Diverse biotic and abiotic stress conditions can lead to the production of an array of bioactive compounds (infochemicals) that can regulate cell fate and shape population dynamics (; ; ; ). Grazing or nutrient stress, can rapidly induce the biosynthesis of diatom-derived oxylipins such as (E,E)-2,4-Decadienal (DD; ; ). DD may act as a chemical defense against grazing (; , ; ), and as a signaling molecule that enables cell–cell communication within diatom populations (; ; ). Lethal doses of DD can initiate a signaling pathway which includes Ca2+ transients, nitric oxide production and redox-dependent PCD in the model diatom Phaeodactylum tricornutum (, ; ). Reactive oxygen species (ROS) are known to play an important role in stress sensing and cell fate regulation across kingdoms, from bacteria to plants and animals (; ; ; ; ). However, the actual redox-sensitive proteins, and the specific oxidation events that regulate cell fate are under-explored in well-established model-systems, and unknown in diatoms.
Despite accumulated evidence of PCD in diatoms and in phytoplankton in general, the genes and proteins that regulate and execute PCD in diatoms are yet unknown. Phytoplankton lack most canonical PCD related proteins, such as Bcl2, p53, and caspases. Caspases are a family of cysteine-dependent aspartate-directed proteases that coordinate and execute various PCD pathways in animals (). While caspases are unique to metazoans, other organisms and microorganisms express structural homologues that share the active cysteine-histidine dyad, known as metacaspases (MCs; ). In contrast to caspases, MCs act in monomers and cleave their targets after arginine or lysine (; ). MCs are functionally diverse and exhibit different roles in autophagy and cell fate regulation, stress response and development in various organisms including plants, fungi and pathogenic protozoan (; ; ). MCs are divided into four subgroups defined by the arrangement of the short p10 domain, and the catalytic p20 domain (Figure 1A). A bioinformatics analysis in algal genomes identified type III MCs, the only type in which the p10 domain precedes the p20 domain (; Figure 1A). Type III MCs are absent in plants and green algal lineages, but are prevalent in algae that originated from secondary endosymbiosis, including diatoms (; ). Expression levels of some MCs in diatoms were induced during nutrients limitations that led to the induction of PCD (; ; ; ), but biochemical characterization and functional roles of diatom MCs in PCD and stress acclimation are yet to be described.
Figure 1
In this study, we combined biochemical characterization of a recombinant type III MC from the model diatom P. tricornutum (PtMCA-IIIc), with functional characterization of genetically modified P. tricornutum cells, in order to unveil the function and role of MCs in diatoms cell fate regulation. We demonstrate that PtMCA-IIIc encodes an active Ca2+ dependent Cys-protease; and identified a unique redox regulation of MC activity by oxidation of two regulatory Cys. This regulatory Cys pair is specific to diatom type III MCs, forming a novel subfamily of type III MCs.
Materials and Methods
Culture Growth
P. tricornutum, accession Pt1 8.6 (CCMP2561 in the Provasoli-Guillard National Center for Culture of Marine Phytoplankton) was purchased from the National Center of Marine Algae and Microbiota (NCMA, formerly known as CCMP). Cultures were grown in f/2 media in filtered seawater (FSW) at 18°C with 16:8h light:dark cycles and light intensity of 80μmol photons·m−2·sec−1 supplied by cool-white LED lights. Unless specified otherwise, experiments were initiated with exponentially growing cultures at ~5·105cellsml−1.
Cell Death
Cell death was determined by positive Sytox Green (Invitrogen) staining, used at a final concentration of 1μM. Samples were incubated in the dark for 30min prior to measurement. Positive gating was based according to untreated cells and unstained cells.
Infochemical Preparation
(E,E)-2,4-decadienal (DD; 95%, Acros Organics) solutions were prepared by diluting the stock in absolute methanol on ice. DD was added to the cells at a dilution of at least 1:200. Control cultures were treated by the addition of methanol to the same dilution as the treatment culture.
Flow Cytometry
Flow cytometry measurements (cell abundance and Sytox staining) were obtained using Eclipse iCyt flow cytometer (Sony Biotechnology Inc., Champaign, IL, United States), equipped with a 488nm solid state air cooled 25mW laser with a standard filter setup. Cells were identified by plotting chlorophyll fluorescence in the red channel (737–663nm) vs. green fluorescence (500–550nm) or forward scatter. At least 5,000 cells were analyzed per sample, with at least three biological replicates.
Identification of Redox Sensitive Cysteines
25μM DD treatment was applied to P. tricornutum cells that were either pre-treated with 5μM DD 2.5h before (non-lethal condition, “5+25μM DD”) or without pre-treatment (lethal condition, “25μM DD”). These conditions were chosen because
PtMCA-IIIc Gene and Protein Modeling
The gene sequence and amino acid sequence of PtMCA-IIIc were obtained from the JGI genome portal (synonym: PtMC5, protein ID: 54873, transcript ID: estExt_Phatr1_ua_kg.C_chr_160041), and corrected manually using ESTs (the prediction extended the sequences artificially by two exons on the 5' end which were removed in the final sequence). Conserved domain prediction [CDD; https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi, and (
Bacterial Cloning
cDNA of PtMCA-IIIc was ordered from GENWIZ (in pUC57), ligated into the bacterial expression vector pET-21a using EcoRI and XhoI restriction sites. This construct was subsequently used as a template for the preparation of PtMCA-IIIc mutants (C202S, C259S or C264S), using site directed mutagenesis (SDM). This was carried out using mutagenesis primers 1–6 (listed in Supplementary Table 3) with either KAPA polymerase PCR followed by DpnI digestion or by using a Q5 SDM kit (New England Biolabs, E00554S). Correct ligation and incorporation of mutations was verified by DNA sequencing using primers 7, 8 (Supplementary Table 3).
PtMCA-IIIc Expression and Purification
MC expression, purification and activity assays were adapted from
Protein concentration was determined using the BCA method and the samples were diluted to the lowest concentration in base buffer. Samples were then incubated with or without 10mM Ca2+. Samples were incubated at 95° C for 5min and loaded on Tris-Glycine eXtended gels (Criterion TGX Gels Any kD, BioRad) and subjected to protein gel analysis using Coomassie brilliant blue, or blotted onto a poly(vinylidene difluoride; PVDF) membrane and analyzed using HRP-anti-6xHis or HRP-anti-T7 antibodies (Zotal). ECL-Prime western blotting detection reagent (GE Healthcare) was used for detection.
Kinetic Assays
Purified PtMCA-IIIc or P. tricornutum cell lysate (108 cells were harvested, resuspended in 250μl lysis buffer, sonicated, and centrifuged to remove insoluble debris) was used for kinetic measurements. In each experiment the protein concentration was calculated by the BCA method and all samples were diluted in base buffer. Purified PtMCA-IIIc was used at about 60ng per well and P. tricornutum protein extracts were used at about 30μg per well. Protein extracts were incubated in activity buffer (base buffer with 0.1% CHAPS, 10mM DTT, 10mM CaCl2, pH 7.8) for 30min in 18°C prior to addition of the substrate. MC-typical activity, cleavage after arginine/lysine, was assessed using the short peptides Val-Arg-Pro-Arg (VRPR) and Gly-Gly-Arg (GGR) conjugated to the fluorophore 7-Amino-4-methylcoumarin (AMC). Following proteolytic activity, the fluorophore was released to the media and its fluorescence was detected over time with 360nm excitation and 460nm emission using a plate reader (Infinite 200 pro, Tecan). A calibration curve with 12, 6, 3, 1.5, 0.75, 0μM AMC and initial slopes were used to calculate the activity (μmol AMC·min−1·mg protein−1) from the fluorescence measurements as previously described (
gRNA Design for PtMCA-IIIc Knockout
In order to inactivate PtMCA-IIIc we adapted for P. tricornutum the method established by
Plasmid Construction Using Golden Gate Cloning
Golden Gate cloning was carried out as previously described (
Level 0 assembly: The endogenous FCP promoter and terminator and the Ble resistance gene were amplified from the PH4-pPhat plasmid, and the U6 promoter (
Level 1 assembly: FCP promoter, Ble and FCP terminator L0 modules were assembled into L1 pICH47732. FCP promoter, Cas9 and FCP terminator L0 modules were assembled into L1 pICH47742. Level 1 Ble and Cas9 under P. tricornutum FCP promoter and terminator were deposited in Addgene (#104893 and #104894 respectively). The sgRNA scaffold was amplified from pICH86966_AtU6p_sgRNA_NbPDS (
Level 2 assembly: L1 modules pICH47732:FCP:Ble, pICH47742:FCP:Cas9YFP, pICH47751:U6:sgRNA_PtMCA-IIIc 1, pICH47761: U6:sgRNA_PtMCA-IIIc 2 and the L4E linker pICH41780 were assembled into the L2 destination vector pAGM4723. Constructs were screened by digestion with EcoRV or EcoRI and by PCR. See Supplementary Figures 6A for an overview of the Golden Gate assembly procedure and the final construct.
Transformations of P. tricornutum
Cells were transformed as previously described (
Selection of Knockout Lines
Resistant colonies were scanned for the presence of Cas9 by colony PCR. Cas9 positive colonies were scanned for the size of PtMCA-IIIc amplicon (primers 24–25 and 26–27, Supplementary Table 3), colonies exhibiting double-bands, representing both WT (714bp) and edited (~590bp) PtMCA-IIIc (probably heterozygotes or mosaic colonies) were re-streaked onto fresh solid medium containing 100μg·ml−1 Zeocin. Daughter colonies were scanned for the size of PtMCA-IIIc amplicon, colonies exhibiting a single band representing bi-allelic edited PtMCA-IIIc (~590bp) were selected and the PtMCA-IIIc gene was sequenced to determine the exact deletion (primers 26–28, Supplementary Table 3).
RNA Isolation and RT-PCR Analysis
RNA was isolated from 50ml cultures with the Direct-zol RNA miniprep kit (Zymo research) according to the manufacturer’s instructions, followed by DNase treatment with Turbo DNase (Ambion). Equal amounts of RNA were used for cDNA synthesis with the ThermoScript RT-PCR system (Invitrogen). For transcript abundance analysis, Platinum SYBR Green qPCR SuperMix-UDG with ROX (Invitrogen) was used as described by the manufacturer. Reactions were performed on QuantStudio5 Real-Time PCR Systems (ThermoFisher) as follows: 50°C for 2min, 95°C for 2min, 40cycles of 95°C for 15s, 60°C for 30s. The primers for the PtMCA-IIIc gene capture the 1st exon-intron junction and exon 2, detecting wild type (WT), overexpression (OE) and knockout (KO) PtMCA-IIIc (primers 33–34, Supplementary Table 3). Transcript abundance of PtMCA-IIIc was calculated by normalizing to expression of TBP (
Identifying MC Genes From Various Species
Initial lists of genes were taken from the pico-Plaza3 gene family HOM000388. For the diatoms, sequences were taken from the Moore collection MMETSP (
Identifying p20 and p10 Domains
The putative protein sequences of the various MCs were run against the CDD database at NCBI to find the p20 domain. For many sequences, the p10 domain definition as available in the public domain databases (Pfam, CDD, InterPro) did not result in hits. Based on an alignment of our sequences and the supplemental alignment (
Phylogenetic Tree Preparation
Alignments were performed on protein sequences of the p20 domains. The p20 domains were trimmed manually from the full-length sequences based on alignment to the CDD database, and further refined manually. Alignments were performed using ClustalW 2.1 (Supplementary Data 2). Unrooted phylogenetic trees were built using the Neighbor-joining algorithm in ClustalW (1,000 bootstraps and a seed of 111) and with Maximum likelihood (ProML) in the Phylip 3.697 package. Trees were visualized using the iTol server.4 In the subbranches the clustering was essentially the same using both algorithms, the tree built using the Neighbor-joining algorithm is presented.
Statistical Analysis
All reported p-values were determined using a two-tailed unpaired Student’s t-test. In all figures, error bars represent SEM. and “n” represents the number of unrelated replicas in each treatment.
Results
In vitro Characterization of PtMCA-IIIc Biochemical Activity
MCs are promising cell fate regulation candidates in diatoms, as they were shown to be involved in stress response and PCD in other organisms (
We chose to focus on PtMCA-IIIc, which was highly expressed in three independent transcriptomes under diverse growth phases and that was induced under stress conditions, including transition to the dark, nitrogen limitation and phosphate limitation (
Previous studied showed that in vitro activation of MCs requires millimolar concentrations of Ca2+, which binds to the Ca2+ binding site, and dithiothreitol (DTT), a reductant essential for the reactivity of the active-site Cys (
Following the in vitro biochemical characterization of recombinant PtMCA-IIIc, we examined whether its typical activity could also be detected in cell extracts of P. tricornutum. Similar to the recombinant PtMCA-IIIc, P. tricornutum cell extracts exhibited typical MC activity, showing cleavage after arginine, albeit with preference to GGRase over VRPRase activity. This MC-typical activity was an order of magnitude higher than caspase-typical activity (VADase; Figure 2A). In accordance, MC-typical activity, but not the VADase activity, was inhibited by the MC inhibitor z-VRPR-fmk (25μM, Figure 2A). The caspase inhibitor z-VAD-fmk (100μM) inhibited VRPRase activity by ~20% (p=0.004), but did not affect the VADase activity (p=0.430; Supplementary Figure 5B). These results demonstrate MC-typical activity in P. tricornutum cell extracts, which is likely derived from the combined activity of PtMCAs and additional proteases.
Figure 2

PtMCA-IIIc exhibit MC-typical activity in P. tricornutum cell extracts. (A) Protease activity of protein extracts from exponential P. tricornutum cells, measured by the release of AMC from peptidyl substrates, VRPR-AMC, GGR-AMC, and VAD-AMC, with (+) or without (−) 25μM of the MC inhibitor VRPR-fmk. Standard curve was used to convert the relative fluorescence units into μmol of free AMC released per min per mg of total protein. Single measurements are indicated in circles, bars are means ± s.d. of triplicates, compared to no inhibitor −p>0.05, **p<0.005, ***p<0.001. (B) PCR of the PtMCA-IIIc gene in WT, overexpression (OE) and knockout (KO) lines. DNA ladder (size in bp) is present in the left lane, the predicted band sizes are indicated below. OE lines were generated using a cDNA construct without the introns, hence the shorter band, in addition to the endogenous PtMCA-IIIc. Homozygous deletion events, induced by CRISPR/Cas9 directly evidenced by the presence of a single, shorter PCR product (KO1, KO3), compared to WT cells. (C) Expression levels of PtMCA-IIIc normalized to TATA box Binding Protein (TBP), and to WT cells, measured by RT-qPCR, in WT, OE and KO lines. Single measurements are indicated in circles, bars are means ± s.d of biological triplicates. (D) PtMCA-IIIc VRPRase activity (μmol AMC min−1 mg protein−1) in protein extracts of WT, OE, and KO P. tricornutum lines. Single measurements are indicated in circles, bars are means ± s.d. of triplicates. Each transformant line was compared to WT −p>0.05, *p<0.05, ***p<0.005.
Since PtMCA-IIIc transcription was shown to be induced along the growth curve (data from
Functional Characterization of PtMCA-IIIc in P. tricornutum Cells
To verify that PtMCA-IIIc is responsible for MC-typical activity in P. tricornutum cell lysate we either overexpressed PtMCA-IIIc, or used CRISPR/Cas9 to delete the active site (Supplementary Figures 6A,B). Two independent overexpression (OE7, OE9) and knockout (KO1, KO3) transformant lines were selected after verification using PCR screening of the PtMCA-IIIc gene. In the OE lines, overexpressed PtMCA-IIIc had a shorter band, as expected due to the lack of introns, in addition to the endogenous PtMCA-IIIc (Figure 2B). Higher expression of PtMCA-IIIc in OE lines compared to WT was verified by RT-qPCR (Figure 2C). In the KO lines, an edited PtMCA-IIIc was detected, indicating a bi-allelic deletion of ~100bp (Figure 2B). Exact deletions were assessed by DNA sequencing (Supplementary Figure 6C). Importantly, in the two KO lines, PtMCA-IIIc lacked the putative catalytic Cys (C264), and the deletion led to a frame-shift and an early stop codon (Supplementary Figure 6D). VRPRase activity in the P. tricornutum cell extracts of the transformant lines was 2.2–3.3 fold higher in OE lines compared to WT, and 0.3–0.7 fold lower in KO lines compared to WT (Figure 2D), indicating that PtMCA-IIIc is responsible for at least part of the VRPRase activity detected in cell extracts. The growth rate of all transformant lines were comparable with WT, but KO lines reached lower cell concentrations in stationary phase compared to WT (day 7: KO1, p=0.0001; KO3, p=0.0055, Supplementary Figure 7).
C264 Is Essential for PtMCA-IIIc Catalytic Activity, While C202 Is a Regulatory Cys
The activity of proteins involved in executing PCD requires tight regulation, especially when the proteins are basally expressed as PtMCA-IIIc. Therefore, PCD executers are frequently present as inactive zymogens at steady state conditions, and can be rapidly activated by post-translational modifications or translocation. Protein activity is often regulated by reversible Cys oxidation, where the oxidation can induce or inhibit the enzymatic activity. Based on our previous work exposing the redox proteome of P. tricornutum (
Figure 3

PtMCs peptides detected by redox proteomics in response to lethal treatments. P. tricornutum cells were treated with 5μM DD, after 2.5h 25μM DD was added to treated (5+25, non-lethal) and untreated cells (25, lethal). In addition, P. tricornutum cells were treated with 0, 150μM H2O2. (A) Cell death was measured as Sytox positive cells 24h after treatment. Single measurements are indicated in circles, bars are means ± s.d. of triplicates. (B) DD-treated cells were sampled for redox proteomics 2h after 25μM DD (
Figure 4

C264 is essential for PtMCA-IIIc activity, C202 and C259 are regulatory cysteines. (A) Protein sequence alignment of PtMCAs p20 domains, amino-acids numbered by PtMCA-IIIc sequence. Identical residues have dark gray background and similar amino acids have light gray background 70% threshold for coloring. Active dyad, C202, C259, Ca2+ binding site, and autocleavage sites are marked. Peptides detected in redox proteomics are framed in red. (B) PtMCA-IIIc 3D structure model based on ScMCA-I structure (
Since C202 is not conserved in other organisms (data from
Following these results, we wanted to examine the roles of C202-C259 potential disulfide bond in regulating PtMCA-IIIc activity. Investigation of the suggested disulfide bond between C202 and C259 cannot be done by addition of an oxidant to the protein, as oxidation of the active-site cysteine eliminates MCs activity. It is not uncommon that different cysteines in the same proteins can have different oxidative state at a given time (
2-Cys Type III MCs Are Prevalent and Specific to Diatoms
We aligned the p20 domain across diverse photosynthetic organisms and protist species in order to map the abundance of 2-Cys MCs (Table 1). The 2-Cys were absent in land plants, green and red algae, glaucophytes, cryptophytes, haptophytes and alveolates. In the group of stramenopiles, only diatoms were found to encode for 2-Cys MCs. Importantly, several diatom species with wide global distribution, such as the centric bloom-forming Skeletonema marinoi and Thalassiosira pseudonana possess 2-Cys MCs (Table 1). Furthermore, we identified 2-Cys MCs in an additional 19 diatom species (Supplementary Table 2) based on the Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP;
Table 1
| Group | Genus | Species | Number of MCs | Photosynthetic | Endo-symbiosis | Type III | 2-Cys |
|---|---|---|---|---|---|---|---|
| Green algae | Chlamydomonas | reinhardtii | 2 | + | 1 | − | − |
| Volvox | carteri | 1 | + | 1 | − | − | |
| Chlorella | variabilis | 1 | + | 1 | − | − | |
| Coccomyxa | subellipsodea | 3 | + | 1 | − | − | |
| Micromonas | pusilla | 1 | + | 1 | − | − | |
| Land plants | Arabidopsis | thaliana | 9 | + | 1 | − | − |
| Oryza | sativa | 8 | + | 1 | − | − | |
| Red algae | Porphyridium | purpureum | 2 | + | 1 | − | − |
| Chondrus | crispus | 4 | + | 1 | − | − | |
| Glaucophyte | Cyanophora | paradoxa | 3 | + | 1 | − | − |
| Alveolates | Symbiodinium | A1 | 12 | + | 2 | − | − |
| Plasmodium | falciparum | 3 | − | 2 | − | − | |
| Stramenopiles | Nannochloropsis | gaditana | 1 | + | 2 | − | − |
| Aureococcus | anophagefferens | 1 | + | 2 | − | − | |
| Ectocarpus | siliculosus | 4 | + | 2 | + | − | |
| Phytophthora | sojae | 0 | − | 2 | − | − | |
| Diatoms | Phaeodactylum | tricornutum | 5 | + | 2 | + | + |
| Fragilariopsis | cylindrus | 5 | + | 2 | + | − | |
| Skeletonema | marinoi | 3 | + | 2 | + | + | |
| Thalassiosira | pseudonana | 6 | + | 2 | + | + | |
| Cryptophyte | Guillardia | theta | 13 | + | 2 | + | − |
| Haptophyte | Emiliania | huxleyi | 7 | + | 2 | − | − |
Abundance of 2-Cys MCs across species.
Number of detected MCs, plastid origin, presence of type III MCs, and 2-Cys MCs are indicated.
Figure 5

A phylogenetic tree of diatom MCs. A phylogenetic tree of diatom MCs based on protein sequence alignment of the p20 domain retrieved from the MMETSP dataset (
Discussion
In the last two decades numerous studies have reported hallmarks of PCD that are prevalent in a wide range of microorganisms, including bacteria, yeast, protozoans and diverse phytoplankton groups (
In this study, we characterized for the first time the biochemical function, regulation and ecophysiological significance of a diatom type III MC that is unique to algae originating from secondary endosymbiosis. Our findings demonstrate that PtMCA-IIIc belongs to a novel subtype of 2-Cys type III MCs that appears to be unique to diatoms and plays a role in cell fate regulation. Recombinant PtMCA-IIIc exhibited calcium dependent MC-typical activity – autoprocessing and cleavage after arginine. In contrast to recombinant PtMCA-IIIc, P. tricornutum cells exhibited higher GGRase than VRPRase activity (Figures 1D, 2A), probably due to combined activity of PtMCA-IIIc with additional PtMCAs and other proteases. Accordingly, VRPRase activity, representative of PtMCA-IIIc activity, was enhanced in P. tricornutum cells overexpressing PtMCA-IIIc and decreased in PtMCA-IIIc knockout lines (Figure 2D), indicating that part of the MC typical activity detected in P. tricornutum cell extracts is indeed the result of the PtMCA-IIIc gene product. We also found that MC typical activity (GGRase and VRPRase) was induced during culture aging, suggesting that MCs role depends on the physiological state of the cell. In addition, PtMCA-IIIc KO lines reached lower cell abundances in stationary phase cultures compared to WT or OE lines (Supplementary Figure 7), suggesting a vital role for PtMCA-IIIc in growth phase transition or in population density capacity. These activities are supported by the pro-survival role of MCs in mild stress and aging by clearing protein aggregates in other organisms (
PCD related proteins require very tight regulation on their activation, and execute cell death only upon requirement. In multicellular organisms, the PCD executing caspases are translated as inactive zymogens, and are activated only by a complex biochemical activation cascade that includes dimerization and cleavage. The plant, fungi and protist homologues, MCs are typically activated by Ca2+ binding and autoprocessing, and are active as monomers (
Importantly, we identified another layer of post-translational regulation, novel in MCs, through reversible oxidation of reactive regulatory cysteines. By combining data from redox proteomics with a 3D protein model and directed point mutations, we suggest that oxidation of C202, as detected in response to lethal treatments (Figure 3), forms a stabilizing disulfide bond with C259, that enhances PtMCA-IIIc activity. Mutations in either one of the 2-Cys decreased PtMCA-IIIc activity to 15–40% of WT activity, but did not abolish it completely (Figure 4D). In contrast, oxidation of the active site cysteine inactivates plant MCs (
We suggest a that optimal activation of PtMCA-IIIc requires the combination of two signals, Ca2+ and mild oxidative stress. The oxidative stress can be generated as an enzymatic byproduct of Ca2+ signaling (
Recent phylogenomic analysis tracked the evolutionary history of the redox-sensitive Cys residues in P. tricornutum, revealing its expansion during plastid evolution (
Funding
This research was supported by the Israel Science Foundation (ISF; grants # 712233, # 1972/20) awarded to AV.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author contributions
SGvC, AM, SR, and AV designed the research, analyzed the data, and wrote the article with contributions of all the authors. SGvC and AM conducted the experimental work. SB-D and SGvC conducted the bioinformatics analysis. UA designed and assisted with the biochemistry experiments and protein modeling. SGvC, AH, and TM designed the gene knockout. TM and AH provided the plasmids for knockout plasmids cloning. SGvC and SR conducted and analyzed the redox proteomics. All authors contributed to the article and approved the submitted version.
Acknowledgments
We are grateful to Harriet Alexander and Sonya T. Dyhrman for assistance with metatranscriptome data sets from Narragansett Bay. We thank Yishai Levin for the help with analysis of the redox proteomics. We also thank Adi Volpert and Inbal Nussbaum for technical assistance. We also thank Daniella Schatz and Guy Schleyer for valuable feedback.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.688199/full#supplementary-material
Footnotes
1.^http://swissmodel.expasy.org
2.^www.broadinstitute.org/rnai/public/analysis-tools/sgrna-design
3.^https://bioinformatics.psb.ugent.be/plaza/versions/pico-plaza/
References
1
AlexanderH.JenkinsB. D.RynearsonT. A.DyhrmanS. T. (2015). Metatranscriptome analyses indicate resource partitioning between diatoms in the field. Proc. Natl. Acad. Sci.112:201421993. doi: 10.1073/pnas.1421993112
2
AptK. E.ZaslavkaiaL.LippmeierJ. C.LangM.KilianO.WetherbeeR.et al. (2002). In vivo characterization of diatom multipartite plastid targeting signals. J. Cell Sci.115, 4061–4069. doi: 10.1242/jcs.00092
3
AssmyP.SmetacekV.MontresorM.KlaasC.HenjesJ.StrassV. H.et al. (2013). Thick-shelled, grazer-protected diatoms decouple ocean carbon and silicon cycles in the iron-limited Antarctic Circumpolar Current. Proc. Natl. Acad. Sci.110, 20633–20638. doi: 10.1073/pnas.1309345110
4
BalakirevaA. V.ZamyatninA. A. (2019). Cutting out the gaps between proteases and programmed cell death. Front. Plant Sci.10:704. doi: 10.3389/fpls.2019.00704
5
BelenghiB.Romero-PuertasM. C.VercammenD.BrackenierA.InzeD.DelledonneM.et al. (2007). Metacaspase activity of Arabidopsis thaliana is regulated by S-nitrosylation of a critical cysteine residue. J. Biol. Chem.282, 1352–1358. doi: 10.1074/jbc.M608931200
6
BertrandE. M.McCrowJ. P.MoustafaA.ZhengH.McQuaidJ. B.DelmontT. O.et al. (2015). Phytoplankton-bacterial interactions mediate micronutrient colimitation at the coastal Antarctic sea ice edge. Proc. Natl. Acad. Sci. U. S. A.112, 9938–9943. doi: 10.1073/pnas.1501615112
7
BidleK. D. (2015). The molecular ecophysiology of programmed cell death in marine phytoplankton. Annu. Rev. Mar. Sci.7, 341–375. doi: 10.1146/annurev-marine-010213-135014
8
BidleK. D. (2016). Programmed cell death in unicellular phytoplankton. Curr. Biol.26, R594–R607. doi: 10.1016/j.cub.2016.05.056
9
BidleK. D.BenderS. J. (2008). Iron starvation and culture age activate metacaspases and programmed cell death in the marine diatom Thalassiosira pseudonana. Eukaryot. Cell7, 223–236. doi: 10.1128/EC.00296-07
10
BowlerC.FluhrR. (2000). The role of calcium and activated oxygens as signals for controlling cross-tolerance. Trends Plant Sci.5, 241–246. doi: 10.1016/S1360-1385(00)01628-9
11
BozhkovP. V.SalvesenG. (2014). Caspases, Paracaspases, and Metacaspases.New York, NY: Humana Press.
12
CasottiR.MazzaS.BrunetC.VantrepotteV.IanoraA.MiraltoA. (2005). Growth inhibition and toxicity of the diatom aldehyde 2- trans, 4-trans-decadienal on Thalassiosira Weissflogii (Bacillariophyceae). J. Phycol.41, 7–20. doi: 10.1111/j.1529-8817.2005.04052.x
13
ChoiC. J.BergesJ. A. (2013). New types of metacaspases in phytoplankton reveal diverse origins of cell death proteases. Cell Death Dis.4:e490. doi: 10.1038/cddis.2013.21
14
CollN. S.SmidlerA.PuigvertM.PopaC.VallsM.DanglJ. L. (2014). The plant metacaspase AtMC1 in pathogen-triggered programmed cell death and aging: functional linkage with autophagy. Cell Death Differ.21, 1–10. doi: 10.1038/cdd.2014.50
15
CollN. S.VercammenD.SmidlerA.CloverC.Van BreusegemF.DanglJ. L.et al. (2010). Arabidopsis type I metacaspases control cell death. Science330, 1393–1397. doi: 10.1126/science.1194980
16
D’AutréauxB.ToledanoM. B. (2007). ROS as signalling molecules: mechanisms that generate specificity in ROS homeostasis. Nat. Rev. Mol. Cell Biol.8, 813–824. doi: 10.1038/nrm2256
17
DietzK. J.TurkanI.Krieger-LiszkayA. (2016). Redox- and reactive oxygen species-dependent signaling into and out of the photosynthesizing chloroplast. Plant Physiol.171, 1541–1550. doi: 10.1104/pp.16.00375
18
DoenchJ. G.HartenianE.GrahamD. B.TothovaZ.HegdeM.SmithI.et al. (2014). Rational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation. Nat. Biotechnol.32, 1262–1267. doi: 10.1038/nbt.3026
19
DurandP. M.SymS.MichodR. E. (2016). Programmed cell death and complexity in microbial systems. Curr. Biol.26, R587–R593. doi: 10.1016/j.cub.2016.05.057
20
EscamezS.AndreD.ZhangB.BollhonerB.PesquetE.TuominenH. (2016). METACASPASE9 modulates autophagy to confine cell death to the target cells during Arabidopsis vascular xylem differentiation. Biol. Open5, 122–129. doi: 10.1242/bio.015529
21
FalciatoreA.BowlerC. (2002). Revealing the molecular secrets of marine diatoms. Annu. Rev. Plant Biol.53, 109–130. doi: 10.1146/annurev.arplant.53.091701.153921
22
FalciatoreA.D’AlcalaM. R.CrootP.BowlerC. (2000). Perception of environmental signals by a marine diatom. Science288, 2363–2366. doi: 10.1126/science.288.5475.2363
23
FortinJ.LamE. (2018). Domain swap between two type-II metacaspases defines key elements for their biochemical properties. Plant J.96, 921–936. doi: 10.1111/tpj.14079
24
GalloC.D’IppolitoG.NuzzoG.SardoA.FontanaA. (2017). Autoinhibitory sterol sulfates mediate programmed cell death in a bloom-forming marine diatom. Nat. Commun.8:1292. doi: 10.1038/s41467-017-01300-1
25
GillardJ.FrenkelJ.DevosV.SabbeK.PaulC.RemptM.et al. (2013). Metabolomics enables the structure elucidation of a diatom sex pheromone. Angew. Commun.52, 854–857. doi: 10.1002/anie.201208175
26
GolsteinP.AubryL.LevraudJ. P. (2003). Cell-death alternative model organisms: why and which?Nat. Rev. Mol. Cell Biol.4, 798–807. doi: 10.1038/nrm1224
27
Graff van CreveldS. (2018). The role of redox in cell fate regulation in marine diatom’s response to environmental stresses. (dissertation). [Rehovot (Israel)]: Weizmann Institute of Science.
28
Graff van CreveldS.RosenwasserS.LevinY.VardiA. (2016). Chronic iron limitation confers transient resistance to oxidative stress in marine diatoms. Plant Physiol.172, 968–979. doi: 10.1104/pp.16.00840
29
Graff van CreveldS.RosenwasserS.SchatzD.KorenI.VardiA. (2015). Early perturbation in mitochondria redox homeostasis in response to environmental stress predicts cell fate in diatoms. ISME J.9, 385–395. doi: 10.1038/ismej.2014.136
30
HopesA.NekrasovV.BelshawN.GrounevaI.KamounS.MockT. (2017). Genome editing in diatoms using CRISPR-Cas to induce precise bi-allelic deletions. Bio-protocole7:23. doi: 10.21769/bioprotoc.2625
31
HopesA.NekrasovV.KamounS.MockT. (2016). Editing of the urease gene by CRISPR-Cas in the diatom Thalassiosira pseudonana. Plant Methods12:49. doi: 10.1186/s13007-016-0148-0
32
IanoraA.BoersmaM.CasottiR.FontanaA.HarderJ.HoffmannF.et al. (2006). New trends in marine chemical ecology. Estuar. Coasts29, 531–551. doi: 10.1007/BF02784281
33
IanoraA.MiraltoA.PouletS. A.CarotenutoY.ButtinoI.RomanoG.et al. (2004). Aldehyde suppression of copepod recruitment in blooms of a ubiquitous planktonic diatom. Nature429, 403–407. doi: 10.1038/nature02526
34
KabbageM.KessensR.BartholomayL. C.WilliamsB. (2017). The life and death of a plant cell. Annu. Rev. Plant Biol.68, 375–404. doi: 10.1146/annurev-arplant-043015-111655
35
KeelingP. J.BurkiF.WilcoxH. M.AllamB.AllenE. E.Amaral-ZettlerL. A.et al. (2014). The marine microbial eukaryote transcriptome sequencing project (MMETSP): illuminating the functional diversity of eukaryotic life in the oceans through transcriptome sequencing. PLoS Biol.12:e1001889. doi: 10.1371/journal.pbio.1001889
36
KimuraK.TomaruY. (2014). Coculture with marine bacteria confers resistance to complete viral lysis of diatom cultures. Aquat. Microb. Ecol.73, 69–80. doi: 10.3354/ame01705
37
KlemenčičM.FunkC. (2018a). Structural and functional diversity of caspase homologues in non-metazoan organisms. Protoplasma255, 387–397. doi: 10.1007/s00709-017-1145-5
38
KlemenčičM.FunkC. (2018b). Type III metacaspases: calcium-dependent activity proposes new function for the p10 domain. New Phytol.218, 1179–1191. doi: 10.1111/nph.14660
39
KumarS. (2007). Caspase function in programmed cell death. Cell Death Differ.14, 32–43. doi: 10.1038/sj.cdd.4402060
40
LeeR. E. C.BrunetteS.PuenteL. G.MegeneyL. A. (2010). Metacaspase Yca1 is required for clearance of insoluble protein aggregates. Proc. Natl. Acad. Sci.107, 13348–13353. doi: 10.1073/pnas.1006610107
41
LeichertL. (2010). Quantitative detection of the cysteine redox state in vivo—the OxICAT method. Methods Redox Signal.63–70. doi: 10.1073/pnas.0707723105
42
MarroneV.PiscopoM.RomanoG.IanoraA.PalumboA.CostantiniM. (2012). Defensome against toxic diatom aldehydes in the sea urchin Paracentrotus lividus. PLoS One7:e31750. doi: 10.1371/journal.pone.0031750
43
MartinR.GonzalezI.FaselN. (2014). “Leishmania metacaspase: An arginine-specific peptidase,” in Caspases, Paracaspases, and Metacaspases. eds. BozhkovV. P.SalvesenG. (New York, NY: Humana Press), 189–202.
44
MatthijsM.FabrisM.ObataT.FoubertI.Franco-ZorrillaJ. M.SolanoR.et al. (2017). The transcription factor bZIP14 regulates the TCA cycle in the diatom Phaeodactylum tricornutum. EMBO J.36:e201696392. doi: 10.15252/embj.201696392
45
McCarthyJ. K.SmithS. R.McCrowJ. P.TanM.ZhengH.BeeriK.et al. (2017). Nitrate reductase knockout uncouples nitrate transport from nitrate assimilation and drives repartitioning of carbon flux in a model pennate diatom. Plant Cell29, 2047–2070. doi: 10.1105/tpc.16.00910
46
McLuskeyK.MossC. X.MottramJ. C. (2014). “Purification, characterization, and crystallization of Trypanosoma metacaspases,” in Caspases, Paracaspases, and Metacaspases. eds. BozhkovV. P.SalvesenG. (New York, NY: Humana Press), 203–221.
47
McLuskeyK.RudolfJ.ProtoW. R.IsaacsN. W.CoombsG. H.MossC. X.et al. (2012). Crystal structure of a Trypanosoma brucei metacaspase. Proc. Natl. Acad. Sci.109, 7469–7474. doi: 10.1073/pnas.1200885109
48
MininaE. A.CollN. S.TuominenH.BozhkovP. V. (2017). Metacaspases versus caspases in development and cell fate regulation. Cell Death Differ.24, 1314–1325. doi: 10.1038/cdd.2017.18
49
MininaE. A.StaalJ.AlvarezV. E.BergesJ. A.Berman-FrankI.BeyaertR.et al. (2020). Classification and nomenclature of Metacaspases and Paracaspases: no more confusion with Caspases. Mol. Cell77, 927–929. doi: 10.1016/j.molcel.2019.12.020
50
MininaE. A.StaelS.Van BreusegemF.BozhkovP. V. (2014). “Plant metacaspase activation and activity,” in Caspases, Paracaspases, and Metacaspases. eds. BozhkovV. P.SalvesenG. (New York, NY: Humana Press), 237–253.
51
MiraltoA.BaroneG.RomanoG.PouletS. (1999). The insidious effect of diatoms on copepod reproduction. Nature402, 173–176. doi: 10.1038/46023
52
MittlerR.VanderauweraS.SuzukiN.MillerG.TognettiV. B.VandepoeleK.et al. (2011). ROS signaling: the new wave?Trends Plant Sci.16, 300–309. doi: 10.1016/j.tplants.2011.03.007
53
MizrachiA.Graff van CreveldS.ShapiroO. H.RosenwasserS.VardiA. (2019). Light-dependent single-cell heterogeneity in the chloroplast redox state regulates cell fate in a marine diatom. elife8:e47732. doi: 10.7554/eLife.47732
54
MossC. X.WestropG. D.JulianoL.CoombsG. H.MottramJ. C. (2007). Metacaspase 2 of Trypanosoma brucei is a calcium-dependent cysteine peptidase active without processing. FEBS Lett.581, 5635–5639. doi: 10.1016/j.febslet.2007.11.009
55
MukherjeeD.GuptaS.SaranN.DattaR.GhoshA. (2017). Induction of apoptosis-like cell death and clearance of stress-induced intracellular protein aggregates: dual roles for Ustilago maydis metacaspase Mca1. Mol. Microbiol.106, 815–831. doi: 10.1111/mmi.13848
56
MurikO.KaplanA. (2009). Paradoxically, prior acquisition of antioxidant activity enhances oxidative stress-induced cell death. Environ. Microbiol.11, 2301–2309. doi: 10.1111/j.1462-2920.2009.01957.x
57
NagasakiK.TomaruY.KatanozakaN.ShiraiY.NishidaK.ItakuraS.et al. (2004). Isolation and characterization of a novel single-stranded RNA virus infecting the bloom-forming diatom Rhizosolenia setigera. Appl. Environ. Microbiol.70, 704–711. doi: 10.1128/AEM.70.2.704-711.2004
58
NekrasovV.StaskawiczB.WeigelD.JonesJ. D. G.KamounS. (2013). Targeted mutagenesis in the model plant Nicotiana benthamiana using Cas9 RNA-guided endonuclease. Nat. Biotechnol.31, 688–691. doi: 10.1038/nbt.2654
59
NelsonD. M. D.TrrguerP.BrzezinskiM. A.LeynaertA.QueguinerB.TréguerP. (1995). Production and dissolution of biogenic silica in the ocean: revised global estimates, comparison with regional data and relationship to biogenic sedimentation. Glob. Biogeochem. Cycles9, 359–372. doi: 10.1029/95GB01070
60
NymarkM.SharmaA. K.SparstadT.BonesA. M.WingeP. (2016). A CRISPR/Cas9 system adapted for gene editing in marine algae. Sci. Rep.6:24951. doi: 10.1038/srep24951
61
OreficeI.LauritanoC.ProcacciniG.IanoraA.RomanoG. (2015). Insights into possible cell-death markers in the diatom Skeletonema marinoi in response to senescence and silica starvation. Mar. Genomics24, 81–88. doi: 10.1016/j.margen.2015.06.008
62
PohnertG. (2000). Wound-activated chemical defense in unicellular planktonic algae. Angew. Chem. Int. Ed.39, 4352–4354. doi: 10.1002/1521-3773(20001201)39:23<4352::AID-ANIE4352>3.0.CO;2-U
63
Poulson-ellestadK. L.JonesC. M.RoyJ.ViantM. R.FernándezF. M.KubanekJ.et al. (2014). Metabolomics and proteomics reveal impacts of chemically mediated competition on marine plankton. Proc. Natl. Acad. Sci.111, 9009–9014. doi: 10.1073/pnas.1413432111
64
RemmersI. M.D’AdamoS.MartensD. E.de VosR. C. H.MummR.AmericaA. H. P.et al. (2018). Orchestration of transcriptome, proteome and metabolome in the diatom Phaeodactylum tricornutum during nitrogen limitation. Algal Res.35, 33–49. doi: 10.1016/j.algal.2018.08.012
65
RibaletF.WichardT.PohnertG.IanoraA.MiraltoA.CasottiR. (2007). Age and nutrient limitation enhance polyunsaturated aldehyde production in marine diatoms. Phytochemistry68, 2059–2067. doi: 10.1016/j.phytochem.2007.05.012
66
RosenwasserS.Graff van CreveldS.SchatzD.MalitskyS.TzfadiaO.AharoniA.et al. (2014). Mapping the diatom redox-sensitive proteome provides insight into response to nitrogen stress in the marine environment. Proc. Natl. Acad. Sci.111, 2740–2745. doi: 10.1073/pnas.1319773111
67
RousseauxC.GreggW. (2013). Interannual variation in phytoplankton primary production at a global scale. Remote Sens.6, 1–19. doi: 10.3390/rs6010001
68
RubinsteinR.FiserA. (2008). Predicting disulfide bond connectivity in proteins by correlated mutations analysis. Bioinformatics24, 498–504. doi: 10.1093/bioinformatics/btm637
69
SabharwalT.SathasivanK.MehdyM. C. (2017). Defense related decadienal elicits membrane lipid remodeling in the diatom Phaeodactylum tricornutum. PLoS One12:e0178761. doi: 10.1371/journal.pone.0178761
70
SanchezR.RiddleM.WooJ.MomandJ. (2008). Prediction of reversibly oxidized protein cysteine thiols using protein structure properties. Protein Sci.17, 473–481. doi: 10.1110/ps.073252408
71
SiautM.HeijdeM.MangognaM.MontsantA.CoeselS.AllenA.et al. (2007). Molecular toolbox for studying diatom biology in Phaeodactylum tricornutum. Gene406, 23–35. doi: 10.1016/j.gene.2007.05.022
72
SmithS. R.GillardJ. T. F.KustkaA. B.McCrowJ. P.BadgerJ. H.ZhengH.et al. (2016). Transcriptional orchestration of the global cellular response of a model pennate diatom to diel light cycling under iron limitation. PLoS Genet.12:e1006490. doi: 10.1371/journal.pgen.1006490
73
SuzukiN.KoussevitzkyS.MittlerR.MillerG. (2012). ROS and redox signalling in the response of plants to abiotic stress. Plant Cell Environ.35, 259–270. doi: 10.1111/j.1365-3040.2011.02336.x
74
ThamatrakolnK.KorenovskaO.NiheuA. K.BidleK. D. (2012). Whole-genome expression analysis reveals a role for death-related genes in stress acclimation of the diatom Thalassiosira pseudonana. Environ. Microbiol.14, 67–81. doi: 10.1111/j.1462-2920.2011.02468.x
75
TopfU.SuppanzI.SamlukL.WrobelL.BöserA.SakowskaP.et al. (2018). Quantitative proteomics identifies redox switches for global translation modulation by mitochondrially produced reactive oxygen species. Nat. Commun.9:324. doi: 10.1038/s41467-017-02694-8
76
TsiatsianiL.Van BreusegemF.GalloisP.ZavialovA.LamE.BozhkovP. V. (2011). Metacaspases. Cell Death Differ.18, 1279–1288. doi: 10.1038/cdd.2011.66
77
UrenA. G.O’RourkeK.AravindL. A.PisabarroM. T.SeshagiriS.KooninE. V.et al. (2000). Identification of paracaspases and metacaspases: two ancient families of caspase-like proteins, one of which plays a key role in MALT lymphoma. Mol. Cell6, 961–967. doi: 10.1016/s1097-2765(00)00094-0
78
ValenzuelaJ.MazurieA.CarlsonR. P.GerlachR.CookseyK. E.PeytonB. M.et al. (2012). Potential role of multiple carbon fixation pathways during lipid accumulation in Phaeodactylum tricornutum. Biotechnol. Biofuels5:40. doi: 10.1186/1754-6834-5-40
79
VanelslanderB.PaulC.GruenebergJ.PrinceE. K.GillardJ.SabbeK.et al. (2012). Daily bursts of biogenic cyanogen bromide (BrCN) control biofilm formation around a marine benthic diatom. Proc. Natl. Acad. Sci.109, 2412–2417. doi: 10.1073/pnas.1108062109
80
Van HautegemT.WatersA. J.GoodrichJ.NowackM. K. (2015). Only in dying, life: programmed cell death during plant development. Trends Plant Sci.20, 102–113. doi: 10.1016/j.tplants.2014.10.003
81
VardiA.Berman-FrankI.RozenbergT.HadasO.KaplanA.LevineA. (1999). Programmed cell death of the dinoflagellate Peridinium gatunense is mediated by CO2 limitation and oxidative stress. Curr. Biol.9, 1061–1064. doi: 10.1016/S0960-9822(99)80459-X
82
VardiA.BidleK. D.KwitynC.HirshD. J.ThompsonS. M.CallowJ. A.et al. (2008). A diatom gene regulating nitric-oxide signaling and susceptibility to diatom-derived aldehydes. Curr. Biol.18, 895–899. doi: 10.1016/j.cub.2008.05.037
83
VardiA.FormigginiF.CasottiR.De MartinoA.RibaletF.MiraltoA.et al. (2006). A stress surveillance system based on calcium and nitric oxide in marine diatoms. PLoS Biol.4:e60. doi: 10.1371/journal.pbio.0040060
84
VercammenD.DeclercqW.VandenabeeleP.Van BreusegemF. (2007). Are metacaspases caspases?J. Cell Biol.179, 375–380. doi: 10.1083/jcb.200705193
85
VolpertA.Graff van CreveldS.RosenwasserS.VardiA. (2018). Diurnal fluctuations in chloroplast GSH redox state regulate susceptibility to oxidative stress and cell fate in a bloom-forming diatom. J. Phycol.54, 329–341. doi: 10.1111/jpy.12638
86
WangH.MiT.ZhenY.JingX.LiuQ.YuZ. (2017). Metacaspases and programmed cell death in Skeletonema marinoi in response to silicate limitation. J. Plankton Res.39, 729–743. doi: 10.1093/plankt/fbw090
87
WangH.ParkB. S.LimW. A.KiJ. S. (2018). CpMCA, a novel metacaspase gene from the harmful dinoflagellate Cochlodinium polykrikoides and its expression during cell death. Gene651, 70–78. doi: 10.1016/j.gene.2018.02.002
88
WatanabeN.LamE. (2005). Two Arabidopsis metacaspases AtMCP1b and AtMCP2b are arginine/lysine-specific cysteine proteases and activate apoptosis-like cell death in yeast. J. Biol. Chem.280, 14691–14699. doi: 10.1074/jbc.M413527200
89
WatanabeN.LamE. (2011). Calcium-dependent activation and autolysis of Arabidopsis metacaspase 2d. J. Biol. Chem.286, 10027–10040. doi: 10.1074/jbc.M110.194340
90
WeberE.EnglerC.GruetznerR.WernerS.MarillonnetS. (2011). A modular cloning system for standardized assembly of multigene constructs. PLoS One6:e16765. doi: 10.1371/journal.pone.0016765
91
WoehleC.DaganT.LandanG.VardiA.RosenwasserS. (2017). Expansion of the redox-sensitive proteome coincides with the plastid endosymbiosis. Nat. Plants3:17066. doi: 10.1038/nplants.2017.66
92
WongA. H.-H.YanC.ShiY. (2012). Crystal structure of the yeast metacaspase Yca1. J. Biol. Chem.287, 29251–29259. doi: 10.1074/jbc.M112.381806
Summary
Keywords
diatom, metacaspase, Phaeodactylum tricornutum, redox-regulation, reactive oxygen species, infochemicals, programmed cell death, phytoplankton
Citation
Graff van Creveld S, Ben-Dor S, Mizrachi A, Alcolombri U, Hopes A, Mock T, Rosenwasser S and Vardi A (2021) Biochemical Characterization of a Novel Redox-Regulated Metacaspase in a Marine Diatom. Front. Microbiol. 12:688199. doi: 10.3389/fmicb.2021.688199
Received
30 March 2021
Accepted
16 August 2021
Published
08 September 2021
Volume
12 - 2021
Edited by
Susana Agusti, King Abdullah University of Science and Technology, Saudi Arabia
Reviewed by
Ansgar Gruber, Academy of Sciences of the Czech Republic (ASCR), Czechia; Tracy Mincer, Florida Atlantic University, United States
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Copyright
© 2021 Graff van Creveld, Ben-Dor, Mizrachi, Alcolombri, Hopes, Mock, Rosenwasser and Vardi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Assaf Vardi, assaf.vardi@weizmann.ac.il
This article was submitted to Aquatic Microbiology, a section of the journal Frontiers in Microbiology
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