Genomic characterisation of a novel species of Erysipelothrix associated with mortalities among endangered seabirds
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EMSID: EMS146469bioRxiv preprint, posted 2022 June 26
https://doi.org/10.1101/2022.06.23.497316
Genomic characterisation of a novel species of Erysipelothrix associated with mortalities among endangered seabirds
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Abstract
Infectious diseases threaten endangered species, particularly in small isolated populations. Seabird populations on the remote Amsterdam Island in the Indian Ocean have been in decline for the past three decades, with avian cholera caused by Pasteurella multocida proposed as the primary driver. However, Erysipelothrix spp. has also been sporadically detected from albatrosses on Amsterdam Island and may be contributing to some of the observed mortality. In this study, we genomically characterised 16 Erysipelothrix spp. isolates obtained from three Indian yellow-nosed albatross chick carcasses in 2019. Two isolates were sequenced using both Illumina short-read and MinION long-read approaches, which – following hybrid assembly – resulted in closed circular genomes. Mapping of Illumina reads from the remaining isolates to one of these new reference genomes revealed that all 16 isolates were closely related, with a maximum of 13 nucleotide differences distinguishing any pair of isolates. The nucleotide diversity of isolates obtained from the same or different carcasses was similar, suggesting all three chicks were likely infected from a common source. These genomes were compared with a global collection of genomes from E. rhusiopathiae and other species from the same genus. The isolates from albatrosses were phylogenetically distinct, sharing a most recent common ancestor with E. rhusiopathiae. Based on phylogenomic analysis and standard thresholds for average nucleotide identity and digital DNA-DNA hybridisation, these isolates represent a novel Erysipelothrix species, for which we propose the name Erysipelothrix amsterdamensis sp. nov. The type strain is E. amsterdamensis A18Y020dT. The implications of this bacterium for albatross conservation will require further study.
Keywords: Erysipelothrix spp, Yellow-nosed albatross, Comparative genomics, Conservation
Introduction
Infectious diseases are among the major threats to the conservation of endangered species, especially at local scales [1]. This is particularly true for populations in remote areas, where anthropogenic activity has historically been limited but is increasing, such as with commercial tourists to the Antarctic [2, 3]. Concerns have been raised about disease-associated declines among albatross populations and how this could influence their long-term sustainability [4]. Avian cholera, caused by the bacterium Pasteurella multocida, has been causing recurrent chick mortalities among two endangered albatross species on the remote Amsterdam Island in the southern Indian Ocean since at least the mid-1990s when it was first detected [5–7]. Both the Indian yellow-nosed albatross (Thalassarche carteri) and the sooty albatross (Phoebetria fusca) have been affected, and the endemic endangered Amsterdam albatross (Diomedea amsterdamensis) is also at risk [5]. The bacterium Erysipelothrix rhusiopathiae has also been detected by PCR in swabs from live birds of these three albatross species and from the endangered northern rockhopper penguin (Eudyptes moseleyi) on Amsterdam Island [6], and it has been isolated concomitantly from mortalities among the Indian yellow-nosed albatross [5]. During ongoing population health monitoring conducted to infer transmission dynamics and management opportunities [8–10], our team isolated Erysipelothrix spp. (identified at the time as E. rhusiopathiae) in 2019 from the carcasses of three Indian yellow-nosed albatross chicks on the island, strengthening the hypothesis that this bacterium could also be contributing to albatross mortalities and decreased breeding success.
E. rhusiopathiae is a small, Gram-positive bacillus. While best known as an opportunistic pathogen of pigs and poultry [11, 12], it affects a wide range of species [13] and in recent years it has been implicated in large-scale wildlife mortalities [14]. It was also responsible for jeopardising the translocation success of several critically endangered kakapo – a flightless parrot – between New Zealand and offshore islands [15], and has caused the death of other endangered birds in that area [16]. Erysipelas in wild birds is a septicaemic disease [12], and deaths have been reported in a range of wild terrestrial birds and seabirds worldwide [15]. Mortalities occur sporadically, and tend to be limited to a small number of individuals, although cases are likely under-recognised and under-reported [17]. Rare mass mortality events in wild birds have also been observed [18].
In this study, we sought to genomically characterise the Erysipelothrix strains isolated from Indian yellow-nosed albatross on Amsterdam Island to identify potential sources, and to assess the relationship between the multiple observed cases on the island.
Methods
Between December 2018 and March 2019, 27 chick and 2 adult carcasses of Indian yellow-nosed albatross were necropsied in the field on Amsterdam Island (-37.797135, 77.571521) as part of long-term population health monitoring (Appendix S1, Figure S1, Table S1). Samples from multiple organs (liver, lung, brain, and heart) were collected from the carcasses for bacteriological and histological analysis. Isolates of Erysipelothrix spp. were identified from three of the chick carcasses, all sampled between the 13th and the 16th of January, 2019. The bacterial growth in the field (Appendix S1) showed Erysipelothrix spp. exclusively, suggesting that this bacterium could have been the cause of death. Between four and six isolates were obtained from each carcass (n = 16 total). These were initially identified in the laboratory as E. rhusiopathiae based on colony morphology on horse blood agar and MALDI-TOF, with the exception of strain A18Y019b, which was classified as Erysipelothrix spp. DNA was extracted from sub-cultured isolates (loop of colonies) using the GenElute Bacterial Genomic DNA Kit (Sigma-Aldrich) as per the manufacturer’s instructions. Extracted DNA was tested with a probe-based qPCR targeting E. rhusiopathiae [19], then sequenced at MicrobesNG (Birmingham, UK). Libraries were prepared using the Nextera XT v2 kit (Illumina) and sequenced on the Illumina HiSeq platform, generating 250 base pair paired-end reads. Long-read MinION sequencing (Oxford Nanopore) was performed at the University of Glasgow for two isolates (A18Y016a and A18Y020d), with library preparation done using the rapid barcoding kit (SQK-RBK004). Illumina reads were adapter and quality trimmed using Trimmomatic [20] and assembled de novo using SPAdes [21] by MicrobesNG. Assembled genomes were evaluated using the online version of Quality Assessment Tool for Genome Assemblies (QUAST) (http://cab.cc.spbu.ru/quast/) [22]. Unless otherwise indicated, the remaining bioinformatics analyses were performed within the CLIMB computing platform for microbial genomics [23]. To generate circularised (closed) reference genomes, the Illumina and MinION sequence data were jointly assembled by Unicycler v0.4.4 [24] applying the ‘normal’ (default) hybrid mode. For isolate A18Y016a, this did not result in a closed genome, so subsequently Canu v1.7 [25] was used to perform an initial assembly using the long-read MinION data, and Pilon v1.22 [26] applied to polish the assembly using Illumina reads, including three iterations. Tablet v1.21.02.08 [27] was used to visually check the distance between forward and reverse reads across the start and end positions of the linearised chromosome to confirm the genomes’ circular nature.
Prokka v1.13 [28] and BLAST2GO [29] were used to predict coding sequences (CDS), tRNA, rRNA and tmRNA. The general feature format (.gff) files obtained by the two programmes were merged to build a complete.gff annotation file. The PHASTER server (https://phaster.ca/) [30] was used to identify and annotate prophage sequences. plasmidFinder server v2.1 (https://cge.cbs.dtu.dk/services/PlasmidFinder/) [31] was used to search for plasmid sequence data in the genomes against the replicon database.
BWA-MEM [32] with default settings was used to map Illumina reads of each albatross isolate against the A18Y020d closed genome, and the mpileup command in SAMtools v1.13 [33] was used to generate summary text files of coverages across the reference genome. The pileup2snp command in Varscan v2.4.4 [34] was used to generate a list of high-quality single nucleotide polymorphisms (SNPs) that were filtered by applying parameters ‘--min-coverage’ of 10, ‘--min-var-freq’ of 0.8 and ‘--min-avg-qual’ of 20. A custom R script was developed to generate a multi-fasta alignment file based on concatenated SNPs. Roary v3.12.0 [35], with default parameters setting, was used to construct a core gene alignment for a wider phylogenetic analysis, i.e. to place the albatross isolates within the context of global Erysipelothrix spp. genomes. This included 106 genomes: a) the 16 isolates from this study; b) 86 previously sequenced E. rhusiopathiae isolates, representing a diversity of geographic and host origins and spanning the clades described for this species (Clade 1 (n = 7), Clade 2 (n = 14), intermediate clade (n = 8), Clade 3 (n = 57)) [36]; c) two genomes of Erysipelothrix piscisicarius (formerly referred to as E. sp. strain 2) [37, 38]: the type strain 15TAL0474T (GCA_003931795.1) [39], and EsS2-7-Brazil (GCA_016617655.1). E. piscisicarius is the most closely-related species to E. rhusiopathiae currently known; d) a recently deposited Erysipelothrix genome, reported as a new species, Erysipelothrix sp. Poltava (GCA_023221615.1); and e) Erysipelothrix tonsillarum strain DSM14972T (GCA_000373785.1), which was used as an outgroup, since this was previously reported to be ancestral to these other species [36]. The SNP alignment and core gene alignment files were used to estimate phylogenetic trees for the 16 albatross isolates and the full set of Erysipelothrix spp. genomes, respectively, using RAxML v8.2.4 [40] with Maximum-Likelihood (ML) method implementing a GTR-GAMMA nucleotide substitution model, selected after using MrModeltest v2.4 [41].
To determine the relatedness of the albatross isolates from this study with other less well-described Erysipelothrix species available in the Genome Taxonomy Database (https://gtdb.ecogenomic.org/), a separate phylogenetic tree based on the rpoB gene (beta subunit of RNA polymerase) was estimated. This gene has been found to be a more suitable marker for Erysipelothrix species delineation than the widely used 16S rRNA gene [37]. Nucleotide sequences of rpoB genes were extracted from whole-genome assemblies of representative samples (one per species, n = 16 total), and aligned using L-INS-i method as implemented in MAFFT v7.313 [42]. Tree topology was then inferred by RAxML v8.2.4, implementing the GTR model of nucleotide substitution; robustness of the tree was assessed by performing 1000 bootstrap replicates. For completeness, the 16S rRNA gene sequence of the newly sequenced strain A18Y020d was extracted through blastn alignment and compared with 16S gene sequences from E. rhusiopathiae strain ATCC 19414T (NR_040837.1), E. piscisicarius strain 15TAL0474T (NR_170392.1), and E. tonsillarum strain DSM 14972T (NR_040871.1).
Two different genome relatedness indices were calculated in order to compare the Erysipelothrix spp. isolated from albatrosses with previously characterised Erysipelothrix species and determine the species assignment. Pairwise nucleotide-level comparisons were made using average nucleotide identity (ANI) Calculator for OrthoANIu [43] (https://www.ezbiocloud.net/tools/ani), and digital DNA-DNA hybridisation (dDDH) was performed using GGDC [44, 45] (https://ggdc.dsmz.de), using Formula 2. This formula is independent of genome length and is thus robust to the use of incomplete draft genome assemblies, as well as differences in gene content.
The output of Roary was used in Scoary v1.6.16 [46] to conduct a pan-GWAS (genome-wide association study) in order to identify any genes that might be unique to the albatross isolates, where the binary trait considered was ‘albatross origin’ yes/no. NCBI blastn searches were conducted on the Scoary results (i.e. genes identified as unique to the albatross isolates that were absent in other Erysipelothrix spp.) to verify their absence in other bacterial species. Primer sets typically used to amplify Erysipelothrix spp. [47] and E. rhusiopathiae specifically [19] were evaluated in silico against the complete assemblies using Geneious v11.0.5 [48] to check for any mismatches. Finally, to further characterise the Erysipelothrix spp. isolates from albatross, blastn searches of the de novo Illumina assemblies were conducted to determine in silico the serotype [49] and whether any spa genes (A, B or C) [50] were present, using methods previously described [51].
Results
Sixteen isolates identified as Erysipelothrix spp. were recovered from the carcasses of three albatross chicks. Fifteen of these were initially identified as E. rhusiopathiae based on colony morphology and MALDI-TOF with 99.9% confidence, and the other strain was identified as an Erysipelothrix sp. Phenotypic characteristics determined during strain isolation are given in the species description below. All 16 isolates were genome sequenced on the Illumina platform, which yielded a high average depth of coverage of at least 58X for all genomes (Table S1). De novo genome assemblies comprised between 52 and 58 contigs per genome, with a total assembly length ranging from 1.80 to 1.83 megabases. Complete circular genomes were obtained for isolates A18Y020dT (Figure S2; assembly GCA_940143175) – designated the type strain – and A18Y016a (assembly GCA_940143155), with lengths of 1,908,712 bp and 1,910,750 bp, respectively. This is approximately 120 kilobases (kb) longer than the Fujisawa E. rhusiopathiae reference genome, corresponding to ~100 additional CDS (Table S2). Like the Fujisawa E. rhusiopathiae genome, both genomes from albatrosses had a GC content of 36.6%. Preliminary annotation of the two albatross-derived genomes using Prokka showed that this method predicted a large number of hypothetical proteins, amounting to approximately one-third of predicted CDS. Blast2GO facilitated the annotation of just over 1500 further CDS in each genome.
Using PHASTER, an intact prophage region comprising 48 genes was detected in both genomes (Figure S3, Table S2). Based on global alignment using MUSCLE, this showed 43.6% nucleotide identity with the incomplete phage sequence in the E. rhusiopathiae Fujisawa reference genome (gene loci ERH_0581 to ERH_0629). No plasmids were detected in either genome.
Pairwise identity of the 16S rRNA gene sequence from strain A18Y020dT with that of E. rhusiopathiae strain ATCC 19414T was 99.9%; only two SNP differences were present across 1479 nucleotides (at positions 472 and 473; TC instead of CT). Only three further nucleotide differences distinguished these sequences from the 16S sequence of E. tonsillarum strain DSM 14972T (99.8% pairwise identity). Eight gaps were found in the alignment of the 16S sequence from E. piscisicarius strain 15TAL0474T compared with the others, which also shared one of the SNPs from A18Y020dT at position 472, and had one additional nucleotide difference. The phylogenetic tree (Figure 1), based on 427 conserved core genes, showed that the 16 Erysipelothrix spp. isolates from albatrosses form a monophyletic clade distinct from previously characterised Erysipelothrix spp. genomes, which shares its most recent common ancestor with E. rhusiopathiae. Based on the rpoB gene phylogeny, other Erysipelothrix species discovered to date are more phylogenetically distant (Figure S4), with the exception of the recently deposited sequence for Erysipelothrix sp. Poltava; based on rpoB analysis, ANI/dDDH (Figure S5) and phylogenomic analyses (Figure S6), strain Poltava is concluded to belong to E. rhusiopathiae Clade 2.
Isolates (n = 16) from Indian yellow-nosed albatross chicks on Amsterdam Island (red text) were compared with other representative Erysipelothrix genomes. The tree was estimated in RAxML using a multiple sequence alignment of conserved (core) genes identified using Roary, implementing a GTR-GAMMA model, and visualised using FigTree (http://tree.bio.ed.ac.uk/software/figtree/). E.rhusiopathiae clades are shown collapsed. Bootstrap values for all major nodes (those shown) were 100%. E. tonsillarum strain DSM14972T was used as an outgroup for rooting.
Few SNP differences were observed among the albatross isolates. A total of 53 high-quality unique SNPs were detected across all 16 genomes when mapping against the closed reference genome (A18Y020dT; Figure 2). All genomes were unique, including where multiple isolates were sequenced from the same carcass (Table S1). The maximum pairwise SNP difference separating two isolates was 13. In silico serotyping based on a genomic polysaccharide biosynthetic locus [49] determined these isolates belong to serotype 1b. All genomes had identical sequences of the spaA gene, belonging to Group 2 [51]. These all had one unique amino acid residue at position 288 in comparison with any previously described sequences (serine instead of alanine).
The tree was based on high-quality concatenated SNPs detected through mapping to the circularised genome of A18Y020dT. Isolates originated from three different carcasses, which are distinguished by different branch colours (as shown in the legend). Tree was plotted with Interactive Tree Of Life (iTOL) version 6.3.2 [52].
The ANI scores comparing the representative Erysipelothrix spp. type strain from albatross against E. rhusiopathiae were 95.0% with E. rhusiopathiae Clade 1, and just above 94% for representatives from the other clades, whereas they were 86.9% with E. piscisicarius and 80.9% with E. tonsillarum (Figure 3). The dDDH scores with E. rhusiopathiae Clades 1, 2 and 3 were 60.0%, 56.3% and 55.5%, respectively, while they were 32.7% with E. piscisicarius and 22.8% with E. tonsillarum. The accepted values for categorising isolates as the same species are >95% similarity for ANI [53, 54] and >70% for dDDH [45]. Thus, based on these standard metrics for genomic comparison, and the phylogenomic analysis, we conclude that these isolates belong to a novel species of the genus Erysipelothrix.
(A) The ANI scores comparing the Erysipelothrix spp. from albatross (represented by A18Y020dT) against other Erysipelothrix spp. were all below the threshold for being considered a common species (>95%). (B) The dDDH scores comparing the Erysipelothrix spp. from albatross against other Erysipelothrix spp. were also well below the accepted threshold for being considered a single species (>70%). Genomes included for comparison: E. rhusiopathiae Clade 1 (P-92), Clade 2 (P-190), intermediate (Fujisawa), and Clade 3 (F793); E. piscisicarius (15TAL0474T); and E. tonsillarum (DSM14972T).
Two hundred and two genes unique to the albatross-derived Erysipelothrix genomes (present in all 16 vs. absent in all 90 other genomes) were found using Scoary. However, after conducting blastn searches, the majority of these genes had significant hits to genes in E. rhusiopathiae or bacteria within the family Erysipelotrichaceae, or more rarely, with other bacteria. Only six genes were found with no hits or hits with low query cover (≤ 12%); a further six genes had <75% nucleotide identity with the highest scoring blastn hit (Table S3).
The Erysipelothrix spp. DNA from all albatross isolates produced typical amplification curves using the probe-based qPCR by Pal et al. [19] designed to detect E. rhusiopathiae. This is despite the fact that the forward primer and probe sequences had two mismatches each (Figure S7); based on in silico alignment, the 165 bp segment being amplified corresponded to positions 1,211,721 to 1,221,885 in the A18Y020dT genome. The primers designed by Makino et al. [47] for Erysipelothrix species more broadly were a perfect match, and based on in silico alignment would be expected to amplify the targeted 407 bp segment of the 16S rRNA gene (positions 1,221,445 to 1,221,851 in the A18Y020d genome).
Discussion
Through genomic comparisons, we have determined that the Erysipelothrix strains isolated from Indian yellow-nosed albatross chick carcasses on Amsterdam Island belong to a previously undescribed species, which we propose be named Erysipelothrix amsterdamensis sp. nov. This reflects its geographic origin, as well as the co-occurrence of the iconic and endemic Amsterdam albatross, D. amsterdamensis. Anthropogenic sources are often suspected when novel pathogens are detected in new locations. While livestock was originally suggested as a possible source of the Erysipelothrix spp. found on Amsterdam Island [5], we were unable to find such a link, since this particular Erysipelothrix species has not been previously documented elsewhere. While no earlier Erysipelothrix spp. isolates from this island were sequenced, using traditional phenotypic methods, initial investigations found that they belonged to serotype 1b [5]. Our finding of the same serotype using in silico approaches may suggest that the same species/strain has been in circulation since at least the mid-1990s. Previous PCR amplification of Erysipelothrix spp. isolates from Amsterdam Island was performed using the primers by Makino et al. [47] targeting the 16S rRNA gene and which should amplify sequence from all members of the genus Erysipelothrix. We also found that the primers and probe described by Pal et al. [19] targeting a noncoding region 3’ to the 5S rRNA gene for detection of E. rhusiopathiae were able to amplify DNA from E. amsterdamensis; care should therefore be taken when interpreting results using this primer/probe set on Erysipelothrix spp. isolated from rare sources. Development of a PCR protocol that distinguishes between these two species would be valuable. The genes found to be unique to E. amsterdamensis in this study (Table S3) would be good initial candidate targets. Moreover, the two closed genomes generated during this study will facilitate further comparative genomic studies within the genus Erysipelothrix. Our comparisons of the 16S rRNA and rpoB gene sequences from different Erysipelothrix species highlight the limited nucleotide diversity in the 16S rRNA gene, and confirm previous suggestions that the rpoB gene is a more suitable marker for Erysipelothrix species delineation [37].
SNP analysis of 16 E. amsterdamensis isolates from the three albatross chicks showed that they are highly related. Given that the number of SNPs distinguishing isolates of the same carcass was similar to that among isolates from different carcasses – as well as the close proximity in space and time of the mortality events – this strongly suggests that the three chicks were infected from a common source. Whether this small number of SNPs arose during infection within the host, or was already present in the environment, remains unknown; a molecular clock for Erysipelothrix has yet to be established [36]. While we cannot rule out the possibility that mutations occurred while the strains were maintained in conservation medium (several months unfrozen), we feel it is unlikely that sufficient replication occurred to explain the number of variants observed within and among these isolates. Further sampling of the albatross colony would help to determine whether this Erysipelothrix species was a new introduction to Amsterdam Island, and whether other strains are in circulation. Moreover, sampling from islands at comparable latitudes would help to elucidate its geographic distribution.
Interestingly, E. amsterdamensis harbours a spaA gene, which codes for what is commonly described as one of the most critical proteins for immunogenicity and virulence of E. rhusiopathiae [55–57]. This gene has been found to occur in all Clade 2, Clade 3 and intermediate clade E. rhusiopathiae genomes described to date [51], whereas E. rhusiopathiae Clade 1 carries a spaB gene [36], and E. piscisicarius carries a spaC gene [39]. That E. amsterdamensis was isolated in association with chick mortalities in the absence of other bacteria suggests it was the likely cause of death, and the presence of the spaA gene lends further support to the likely virulence of this species. However, further investigation, including challenge studies, will be necessary for such characterisation.
E. rhusiopathiae is typically considered an opportunistic pathogen, often manifesting clinically in stressed individuals or populations, for example following the kakapo translocation [15].
Further studies should explore whether Erysipelothrix-associated mortalities detected in other subantarctic islands could have been caused by the new species described here, or other novel taxa, and which set of potential host species of those relatively simple island communities may be involved in the epidemiological dynamics.
Description of Erysipelothrix amsterdamensis sp. nov
Erysipelothrix amsterdamensis sp. nov. (am.ster.dam.en’sis. N.L. fem. amsterdamensis referring to Amsterdam island, from which the first strains to be characterised were isolated).
Cells are Gram-positive, rod-shaped, and non-motile. Small pin-point sized, round, flat grey colonies with smooth contours are observed on 5% horse blood agar after 24 h growth at 37°C at normal atmospheric conditions. Catalase negative. The G+C content of the genomic DNA of the type strain is 36.6%. Whole genome sequencing indicates isolates carry the Erysipelothrix spaA gene and belong to Erysipelothrix serotype 1b. Members of the species can be distinguished from other members of the genus Erysipelothrix based on phylogenomic analysis and genomic metrics.
The type strain, A18Y020dT, was isolated from an Indian yellow-nosed albatross chick carcass on Amsterdam Island. The whole genome of the type strain A18Y020d is available in GenBank (GCA_940143175).
Repositories
Reads for all samples sequenced in this study are available on European Nucleotide Archive Sequence Read Archive (SRA) under accession number PRJEB50151. Complete annotated genomes for isolates A18Y020dT (type strain) and A18Y016a are available under accession numbers GCA_940143175 and GCA_940143155, respectively.
Supplementary Material
- Supplementary material Download source data
Acknowledgements
We thank Nicolas Keck, Karine Lemberger, Christophe Barbraud, Karine Delord and Iain Sutcliffe for discussions related to the work. Support is acknowledged from Réserve Naturelle Nationale des Terres Australes Françaises, notably from Célia Lesage. We thank technical support agents at Ceva Biovac for help with laboratory work. This paper is a contribution of IPEV project ECOPATH-1151 to the Plan National d’Action Albatros d’Amsterdam.
Funding information
MM was supported by an Academy of Medical Sciences Springboard award, with contribution from the Wellcome Trust and Global Challenges Research Fund (SBF005\1023, to TLF). JT received support from CEVA and ANRT for a CIFRE PhD fellowship and project France relance TVACALBA. AG was supported by the US National Science Foundation (DEB-1557022) and the Strategic Environmental Research and Development Program (RC2635). TLF was supported by a Biotechnology and Biological Sciences Research Council Discovery Fellowship (BB/R012075/1). The research was also supported by the French Polar Institute (IPEV ECOPATH-1151), ANR ECOPATHS (ANR-21-CE35-0016), Zone Atelier Antarctique et Terres Australes (ZATA) and OSU OREME ECOPOP. The funders had no role in study design, data collection and analysis, or preparation of the manuscript.
Author Information
Corresponding author: ku.ca.wogsalg@edrof.ayat (TLF)
Notes
Ethical approval
The experimental design was approved by the French Regional Animal Experimentation Ethical Committee n°036 (Ministry of Research permit #10257-2018011712301381) and by the Comité de l’Environnement Polaire (A-2018-123 and A 2018-139 for 2018-2019).
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History
- Posted June 26, 2022.
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Data
Data behind the article
This data has been text mined from the article, or deposited into data resources.
GCA - NCBI genaome assembly (4)
- (1 citation) GCA - GCA_023221615.1
- (1 citation) GCA - GCA_000373785.1
- (1 citation) GCA - GCA_003931795.1
- (1 citation) GCA - GCA_016617655.1
RefSeq - NCBI Reference Sequence Database (3)
- (1 citation) RefSeq - NR_040837.1
- (1 citation) RefSeq - NR_040871.1
- (1 citation) RefSeq - NR_170392.1
Funding
Funders who supported this work.
Biotechnology and Biological Sciences Research Council (1)
Grant ID: BB/R012075/1