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. 2017 Jul 24;12:41. doi: 10.1186/s40793-017-0250-6

Neisseria lactamica Y92–1009 complete genome sequence

Anish K Pandey 1,, David W Cleary 1, Jay R Laver 1, Martin C J Maiden 2, Xavier Didelot 3, Andrew Gorringe 4, Robert C Read 1,
PMCID: PMC5525351  PMID: 28770026

Abstract

We present the high quality, complete genome assembly of Neisseria lactamica Y92–1009 used to manufacture an outer membrane vesicle (OMV)-based vaccine, and a member of the Neisseria genus. The strain is available on request from the Public Health England Meningococcal Reference Unit. This Gram negative, dipplococcoid bacterium is an organism of worldwide clinical interest because human nasopharyngeal carriage is related inversely to the incidence of meningococcal disease, caused by Neisseria meningitidis. The organism sequenced was isolated during a school carriage survey in Northern Ireland in 1992 and has been the subject of a variety of laboratory and clinical studies. Four SMRT cells on a RSII machine by Pacific Biosystems were used to produce a complete, closed genome assembly. Sequence data were obtained for a total of 30,180,391 bases from 2621 reads and assembled using the HGAP algorithm. The assembly was corrected using short reads obtained from an Illumina HiSeq 2000instrument. This resulted in a 2,146,723 bp assembly with approximately 460 fold mean coverage depth and a GC ratio of 52.3%.

Keywords: SMRT cell sequencing, Neisseria, Short read sequencing, Bacteria, Genome assembly, Nasopharyngeal microflora, Commensal

Introduction

Neisseria lactamica (henceforth, Nla) is a Gram negative, diplococcoid, commensal organism that colonises the human nasopharynx. In common with other commensal Neisseria spp., including Neisseria mucosa , Neisseria. sicca and Neisseria cinerea , carriage of Nla very rarely leads to invasive disease, and then only in severely immunocompromised individuals [1]. Examples of more commonly pathogenic Neisseria lineages include the causative agents of gonorrhoea and invasive meningococcal disease (IMD), N. gonorrhoeae (Ngo) and N. meningitidis (Nme), respectively [2]. Nla is biochemically differentiated from other members of the genus Neisseria by its ability to produce β-D-galactosidase and therefore ferment lactose.

Neisseria lactamica Y92–1009 was originally isolated during a school carriage study in Northern Ireland in 1992 and has been assigned sequence type 3493 and belongs to the ST-613 clonal complex. The strain has been used for various purposes over the past 15 years. For example, it has been used to manufacture an OMV based vaccine intended to protect against against Nme [3] and used in experimental human challenge studies [4, 5] where it was shown to inhibit co-colonisation carriage rates of the potentially pathogenic meningococcus. The general properties of the genus, species and strain are presented in Table 1.

Table 1.

Classification and general features of Neisseria lactamica strain Y92–1009 according to MIGS specification [36]

MIGS ID Property Term Evidence codea
Classification Domain Bacteria TAS [37]
Phylum Proteobacteria TAS [37]
Class Betaproteobacteria TAS [37]
Order Neisseriales TAS [37]
Family - Neisseriaceae TAS [37]
Genus Neisseria TAS [37]
Species lactamica TAS [37]
Strain: Y92–1009 (Accession)
Gram stain Negative IDA
Cell shape Diplococcus IDA
Motility Non-motile but piliated TAS [38]
Sporulation Not reported NAS
Temperature range 32–39 °C IDA
Optimum temperature 37.0 °C IDA
pH range; Optimum 3.5–6.5 °C; 5 °C TAS
Carbon source Glucose, Maltose, Lactose TAS [39]
MIGS-6 Habitat Human Nasopharynx TAS [37, 39]
MIGS-6.3 Salinity 0.9% TAS [39]
MIGS-22 Oxygen requirement Aerobe TAS [39]
MIGS-15 Biotic relationship commensal TAS [39]
MIGS-14 Pathogenicity Non-pathogen TAS [39]
MIGS-4 Geographic location Londonderry, Northern Ireland TAS [40]b
MIGS-5 Sample collection 1992 TAS [40]b
MIGS-4.1 Latitude 54.9966 N NAS
MIGS-4.2 Longitude 7.3086 W NAS
MIGS-4.4 Altitude 128 m NAS

aEvidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [2]

bData for isolate geographic location and sample collection was acquired by searching for N. latamica Y92–1009 (ID number: 4945) on pubMLST Neisseria

A study of asymptomatic carriage of Nme and Nla in 2969 healthy infants and children demonstrated that carriage rates of Nla were highest in 18 month old infants and declined to a much lower rate in teenage children [6]. Conversely, a low level of meningococcal carriage was detected in infants during the first 4 years of life with increased carriage in those aged between 14 and 17. These findings have been confirmed by further studies including the Stonehouse survey [7], which reported that Nla carriage was six times higher in children up to the age of 5 years old, with relatively lower carriage rates for Nme. Similar results were also observed in a more recent study [8]. Taken together, these studies suggest a protective role for Nla against meningococcoal disease by preventing meningococcal colonization in younger children. Harnessing this natural carriage dynamic has been proposed as a potential strategy to reduce Nme carriage, a pre-requisite for invasive meningococcal disease [9].

Organism information

Classification and features

Nla is a Gram negative, non-sporulating, diplococcoid bacterium. Bacterial cells are approximately 1 μM in diameter. An electron micrograph, generated by staining with a 1% potassium phosphotungstate (PTA) for 5–10 s and captured using a Philips EM300 with an accelerating voltage of 60 kV, is shown in Fig. 1. On solid media the organism forms unpigmented to yellow, smooth and transparent colonies. The cells excrete outer membrane vesicles (OMVs) approximately 100 nm in diameter. In liquid culture, this species is likely to aggregate. Like other members of its genus, Nla is oxidase positive, catalase positive and successfully reduces nitrite (NO2 ) ions. Nla can be differentiated from the other members of the genus by its ability to ferment lactose and produce β-D-galactosidase. Nla, like Nme, dwells within the human nasopharynx but is more commonly found in infants and young children. It has been isolated from the urogenital tract on one occasion [10] but is almost never associated with disease [1].

Fig. 1.

Fig. 1

Photomicrograph of N. lactamica Y92–1009. This image was obtained with transmission electron micrography and displays the diplococcoid nature of the N. lactamica Y92–1009 cell. The size of the cell is indicated in micrometres (μm)

Nla unlike Nme is known to autoagglutinate and as such cannot be classified into serogroups. A multi locus sequence typing approach (MLST) uses the allelic profiles of seven, indexed housekeeping genes (abcZ, adk, aroE, fumC, gdh, pdhC & pgm) to classify a Neisseria isolate into a sequence types (ST) as reported in the database Pubmlst.org/neisseria [11].

At the time of writing a total of 21 unique ST’s of Nla have been described, which have been sub-classified into 6 clonal complexes (ccs). The cc640 includes ST’s 10,984, 10,326, 11,143 & the Nla 020–06 reference genome and the cc613 contains ST 11653 and Nla Y92–1009, the isolate described here. The cc595 contains ST 595, and cc624 contains ST’s 6206, 624, & 11,383. Finally, cc1494 contains ST’s 642, 1494 & 1495. To differentiate Neisseria strains further typing schemes have been developed using variable regions of hypervariable loci such as porA and fetA [12].

A core, gene by gene (n = 1629) MAAFT alignment of a collection of 32 whole genome Neisseria assemblies was done using the genome comparator tool available on Pubmlst.org/neisseria (Fig. 2). This included an example of the most complete representative assembly for every identified ST of Nla (n = 26) as well as the closed, reference genome Nla 020–06. These Nla isolates were compared to a cohort of pathogenic Neisseria reference genomes including Nme isolate MC58 (Serogroup B), Nme isolate FAM-18 (Serogroup C) and Ngo isolate FA1090. In addition to this the phylogenetic tree was rooted with another commensal Neisseria of interest, Nci 346 T. The comparison resolved the pathogenic Neisseria by their respective species and further sub-defined isolates belonging to the six clonal complexes of Nla. The comparison was calculated based on a core genome of 1629 genes. The maximum likelihood tree was generated using FastTree v.2.0 [13] (gtr nt model) and edited using Figtree v.1.4.3 [14].

Fig. 2.

Fig. 2

Phylogenetic tree indicating the position of N. lactamica Y92–1009 amongst other pathogenic and commensal Neisseria. This tree was constructed based on a core genome comparison of a collection of 32 Neisseria assemblies generated using the genome comparator tool available on pubmlst.org/neisseria. The reconstructed evolutionary relationships among N. meningitidis (Red, n = 2), N. gonnorhoeae (Red, n = 1), N. cinerea (Yellow, n = 1) and N. lactamica (Black, n = 27) are shown. The genome sequenced here, N. lactamica Y92–1009 is outlined in cyan (Nla_PacBio|ST_3493). This analysis included the sequenced genome and the best representative assembly for every identified sequence type (ST) of this species. The tree was generated using FastTree v.2 [13] and edited using Figtree v.1.4.3 [14]. The tree is drawn to scale, with branch length units being expressed as an overall proportion of divergence based on the comparison of 1629 genes

Genome sequencing information

Genome project history

Nla Y92–1009 GMP stocks were generated in 2011 [4]. Chromosomal DNA was extracted at the University of Southampton and sent to TGAC, Norwich for SMRT cell sequencing (PacBio RS II) and the Wellcome Trust Genomics Centre, Oxford for short read sequencing using HiSeq 2000. The genome was assembled using the internal pipeline at TGAC. The assembly was analysed, error-corrected, annotated and utilised for downstream applications by the authors. The assembly process and genome statistics are summarized in Tables 2 and 3.

Table 2.

Project information

MIGS ID Property Term
MIGS 31 Finishing quality Complete
MIGS-28 Libraries used SMRTbell Template prep kit
MIGS 29 Sequencing platforms Pacific Biosciences RSI
MIGS 31.2 Fold coverage 470×
MIGS 30 Assemblers HGAP
MIGS 32 Gene calling method Prokka, Blast2GO
Locus Tag
Genbank ID CP019894
GenBank Date of Release 17/02/2017
GOLD ID -
BIOPROJECT PRJNA331097
MIGS 13 Source Material Identifier -
Project relevance Medical, Biotechnological

Table 3.

Genome statistics

Attribute Value % of Total
Genome size (bp) 2,146,723 100
DNA coding (bp) 1,831,541 85.3
DNA G + C (bp) 1,123,594 52.3
DNA scaffolds 1 100
Total genes 2053 100
Protein coding genes 1980 96.4
RNA genes 72 3.5
Pseudo genes 16 0.8
Genes in internal clusters 16 0.8
Genes with function prediction 1918 93.4
Genes assigned to COGs 1527 74.3
Genes with Pfam domains 5 0.2
Genes with signal peptides 0 0
Genes with transmembrane helices 0 0
CRISPR repeats 3 0.1

The accession numbers associated with this genome are Bioproject (PRJNA331097) and Biosample (SAMN05437355) and Genbank (SUB1713102: pending assignation of genbank ID).

Growth conditions and genomic DNA preparation

Frozen Nla Y92–1009 stock was plated onto Columbia agar supplemented with horse blood and grown overnight at 37 °C, 5% CO2. β-galactosidase activity, and therefore identity as Nla, was confirmed by exposure of colonies to 5-bromo-4chloro-3-indolyl-β-D-galactopyranoside (X-Gal) in phosphate buffered saline. Blue colonies were sub-cultured into Trypticase soy broth +0.2% yeast extract. The cultures were grown overnight at 37 °C, 5% CO2 at 320 rpm. The Gentra Puregene yeast/bacteria kit and protocol (Qiagen, UK) was used per manufacturer’s instructions to extract high molecular weight (>40 kb) DNA, assessed via gel electrophoresis and improving sample quality for long read sequencing.

DNA purity was initially assessed using a nanodrop 1000 spectrophotometer and then quantified using the Qubit 2.0 fluorometer and BR dsDNA kit (Invitrogen, UK). The resulting DNA samples were stored at four assessed by examining both the trace and absorbance levels of the 260/280 and 260/230 absorbance ratios in a nanodrop 1000 spectrophotometer. The resulting DNA samples were placed in −20 °C cryostorage.

Purified DNA samples were collected until a threshold of 30 μg DNA was reached. The sample (260/280: 1.83, 260/230: 1.86) was collated and sent to TGAC, Norwich for de novo long read sequencing.

Genome sequencing and assembly

Following sample collection, TGAC reassessed the sample purity and performed the long read sequencing using the PacBio RSII instrument. Four SMRT cells, each sequencing 50,000 × 8500 bp length reads, were used. The HGAP assembler [15] was used to generate a closed genome sequence of 2191181 bases.

Illumina paired-end, short read (151 bp) HiSeq 2000 sequencing was carried out using the same stock as that sent for Pacific Biosciences RS II long read sequencing. Sequencing libraries for paired end sequencing were constructed using the EBNext DNA sample Prep Master Mix Set 1 Kit (New England Biolabs).

Following generation of sequencing reads, nextera adapter sequence was trimmed using trimmomatic V.0.36 [16]. These reads were mapped to the unedited HGAP assembly and used to detect and correct errors present in repetitive regions using Pilon v.1.17 [17]. The reads were also used to trim low coverage areas present at the beginning and end of the circular genome sequence using the Breseq pipeline v.0.26a [18]. This reduced the assembly size down to 2,146,723 bp. Assembly metrics were evaluated using Quast [19].

Genome annotation

The Prokka pipeline [20] was used to putatively assign genetic function and identify RNA and pseudogenes. As part of this annotation pipeline, prodigal [21] was initially used to identify all co-ordinates of CDSs from the assembly but did not assign a putative gene product. Once all CDSs were detected, gene prediction is normally inferred by comparing an unknown protein to a database containing known protein sequences. To ensure maximum possible accuracy, this sequence-database homology comparison is staggered hierarchically in the following way by Prokka.

All putative CDSs are matched with a trusted list of proteins. From the only manually curated Nlatamica reference genome [22]. All unannotated proteins are then compared to the uniprot bacterial database, a Neisseria specific RefSeq database (enabled with the –genus and –usegenus flags) Interproscan searches were conducted using BLAST2GO software and searched against the MMMPFAM [23] SignalPHMM [24] and THHMM [25] databases to identify genes with PFAM domains, signal peptides and transmembrane helices respectively.

Any genes in internal clusters were identified using CD-HIT [26] using file of in silico translated proteins from identified ORFS. Any CRISPRs were found using CRISPRfinder [27].

Genome properties

The Nla Y92–1009 genome assembly contains 2,146,723 bp with approximately 460 fold mean coverage depth and 52.3% GC ratio. The assembly was predicted to contain 2053 putative ORFs, 1980 of which code for proteins. There were 72 genes predicted to encode RNA genes and three CRISPR repeats were detected.

Furthermore, 74.3% of total putative ORFs matched with the COG database; these results are presented in Table 4 and displayed in a circular genome diagram in Fig. 3.

Table 4.

Number of predicted genes associated with general COG functional categories

Code Value %age Description
J 148 7.21 Translation, ribosomal structure and biogenesis
A 1 0.05 RNA processing and modification
K 56 2.73 Transcription
L 137 6.67 Replication, recombination and repair
B 1 0.05 Chromatin structure and dynamics
D 24 1.17 Cell cycle control, Cell division, chromosome partitioning
V 23 1.12 Defense mechanisms
T 25 1.22 Signal transduction mechanisms
M 130 6.33 Cell wall/membrane biogenesis
N 20 0.97 Cell motility
U 42 2.05 Intracellular trafficking and secretion
O 75 3.65 Posttranslational modification, protein turnover, chaperones
C 109 5.31 Energy production and conversion
G 48 2.34 Carbohydrate transport and metabolism
E 129 6.28 Amino acid transport and metabolism
F 45 2.19 Nucleotide transport and metabolism
H 76 3.70 Coenzyme transport and metabolism
I 51 2.48 Lipid transport and metabolism
P 77 3.75 Inorganic ion transport and metabolism
Q 10 0.49 Secondary metabolites biosynthesis, transport and catabolism
R 137 6.67 General function prediction only
S 163 7.94 Function unknown
- 526 25.62 Not in COGs

The total is based on the total number of protein coding genes (1980) putatively discovered in the genome

Fig. 3.

Fig. 3

Circular map of N. lactamica Y92–1009 genome and features generated with Cgview Comparison Tool. The arrows in the outermost ring indicate putative genes (with the arrow indicating the 5′ to 3′ direction on the positive strand.) identified and assigned to Clusters of Orthologous Groups (COGs). The 20 COG categories are indicated by different colours from Red to Grey according to the colour key. The second and third rings indicate regions containing coding sequence (Blue), tRNA (Orange), and other RNAs (Grey), with the second ring running 5′ to 3′ (positive strand) and the third ring running 3′to 5′ (negative strand). The fourth ring indicates open reading frames assigned as COGs and encoded on the negative strand. The fifth, black, graph ring displays GC content while the last ring (purple and green) shows positive (Green) and negative (Purple) GC skew

Insights from the genome sequence

This genome sequence was typical for a Neisseria genome, being small (2.2 Mb) with a high amount of coding content (85.3%).

Nla remains relatively poorly defined at the genomic level, with the COG analysis (Table 4) demonstrating that approximately a third (33.5%) of all open reading frames (ORFs) in this genome have either unknown, predicted function or did not possess sufficient homology to be sorted into a COG category. Additionally, there were only five matches when comparing Nla Y92–1009 translated ORFs against the PFAM database as well as a total lack of matches with SignalP and THHMM databases. Despite this, five ORFs presenting were annotated as putative signal peptides by Prokka.

Repetitive sequences play important roles in Neisseria genome modification and gene expression. The ten base pair DNA uptake sequence (DUS) has been shown to be pre-requisite for transformation in Neisseria species [28]. DUS-containing sequences have permeated the Neisseria genus core genome, indicating these sequences can survive genome diversification via recombination [29]. Another repeat type is named dRS3. This is an abundantly recurring 20 bp repeat sequence known to flank larger repeat sequences and act as a site for phage integration [30]. Finally, the transposon-like Correia repeat enclosed elements (CREEs) may combine with native sequence to form gene promotors as well as affect post transcriptional gene expression [31]. Therefore these elements have often been observed as hot spots of DNA rearrangement and recombination [32]. Repeat sequence content also reflects on the evolutionary history of an organism. Nme possesses many more CREEs than any other member of the genus. This is thought to have arisen after the species diversified away from a common ancestor [33].

Motifs for these repetitive sequences were taken from a genus wide study of Neisseria that reported DUS, CRE and dRS3 motifs among ten species [34] and a study on the overepresentation of DUS motifs (dialects)among the Neisseriaceae [28]. These motifs were searched in the genome using fuzznuc as part of the EMBOSS [35] package. The frequency of these repetitive sequence motifs observed in Nla Y92–1009 is described in Table 5. In comparison to isolates examined in the first study cited [34], Nla isolate Y92–1009 has a higher number (n = 454) of dSR3 elements than all other neisserial species bar Nme isolate MC58 (n = 689). This value also exceeded the number those detected in another Nla isolate ATCC 23970 (n = 197) and N. gonnorhoeae isolate FA 1090 (n = 208). Nla isolate Y92–1009 exhibited a lower numbers of CREE repeats (n = 86) than all other known Neisseria except for Nme isolate MC58 (n = 524) (Table 5).

Table 5.

Frequency of repeat sequences in N. lactamica Y92–1009 genome

Repeat type Repeat sequence Value
AT-DUS ‘ATGCCGTCTGAA’ 1718
AG-DUS ‘AGGCCGTCTGAA’ 262
AG-mucDUS ‘AGGTCGTCTGAA’ 45
DSR3 ‘ATTCCCNNNNNNNNGGGAAT’ 454
Correia ‘ATAG[CT]GGATTAACAAAAATCAGGAC’ 50
‘TATAG[CT]GGATTAAATTTAAACCGGTAC’ 1
‘TATAG[CT]GGATTAACAAAAACCGGTAC’ 17
‘TATAG[CT]GGATTAAATTTAAATCAGGAC’ 17

In comparison to isolates examined in the Neisseria -wide DNA uptake sequence study, Nla isolate Y92–1009 possessed an overrepresentation of AT-DUS sequence (n = 1718) which was typical of other Nla isolates and the pathogenic Neisseria . It also possessed low levels of AG-DUS and AG-mucDUS dialects which are found more prominently in species such as N. polysaccherea, N. cinerea (Nci) and N. mucosa . Due to the interspecific barrier to transformation that exists between Neisseria spp. with uncomplimentary DUS dialects, it is more likely that Nla would engage in transformation with Neisseria spp. possessing the same DUS dialect.

A number of phage related genes and atypical GC content were seen in a region starting 1, 350, 054 bp and running until 1,399,045 bp. The presence of a prophage was investigated by PHAST (Phage Search Tool; http://phast.wishartlab.com/index.html). PHAST detected an intact prophage sequence 49.8Kb in length. This contained 53.98% GC content and possessed 81 proteins, 46 of which were phage associated. These proteins include two attachment sites, two coat proteins, two tail-fiber proteins, an integrase, two plate, a portal, a tail shaft and terminase subunits (Fig. 4 ). The prophage sequence scored a completeness score of 130, where 150 is the maximum and a minimum score of 90 indicates intactness of prophage. The proteins from the putative, Nla Y92–1009 prophage sequence were compared against the PHAST-prophage database. This revealed that at least one predicted protein from this prophage sequence was detected in over 23 different species of bacteriophage. Three of the four bacteriophages with the greatest number of shared proteins with the Nla Y92–1009 prophage were found in Acinetobacter phages. While these prophages only shared 18, 17 and 16 proteins respectively out of a potential 81, this stretch of sequence was found to be highly conserved.

Fig. 4.

Fig. 4

Graphic showing phage related proteins identified in the intact prophage by PHAST. The diagram above was annotated by and imported from the PHAST-prophage database. Twenty-six hypothetical proteins were removed from the schematic to increase the clarity of the phage related proteins. The proteins above the black line indicating genome position are encoded 5′ to 3′ while the proteins under it are encoded 3′ to 5′. The abbreviations in the diagrams are as follows Att (phage attachment site), Coa (Phage coat protein), fib (Phage Tail Fiber), Int (Phage integrase) Pla (Phage plate protein), PLP (Phage like protein), Por (Portal protein) sha (Phage tail shaft protein) Ter (Terminase)

Conclusions

This closed whole genome assembly is the first for this specific strain of Nla isolate Y92–1009 and the second for the species as a whole and contains 2,146,723 bp, that encode 1980 predicted proteins, 72 RNA genes and three CRISPR repeats. The profile of repeat sequence patterns discovered in this genome compared to other Neisseria spp. indicates that it possesses DUS, CREE motifs and numbers typical to other Nla isolates but contains an unexpectedly high amount of dRS3 repeats for a commensal Neisseria , similar to the number seen in Nme isolate MC58. This genome will form the reference for studies on the microevolution of commensal Neisseria among individuals experimentally challenged with this strain.

Acknowledgments

Funding

This project was supported by funding from the MRC: MR/N013204/1 and MR/026993/1, The Sir Christopher Benson Studentship (University of Southampton), the Wessex Institute of Virology and Infectious Disease and the Southampton NIHR Biomedical Research Centre.

Abbreviations

Bp

Base pairs

Cc

Clonal complex

CDS(s)

CoDing sequence

COG

Clusters of Orthologous Groups

CREEs

Correia repeat enclosed elements

CRISPR

Clusters of regularly intersperced short palindromic repeats

DUS

DNA uptake sequence

GC

Guanine-cytosine ratio

GMP

Good manufacturing practice

MLST

Multi locus sequence typing

Nci

Neisseria cinerea

Ngo

Neisseria gonorrhoeae

Nla

Neisseria lactamica

Nme

Neisseria meningitidis

ORFs

Open reading frames

PacBio

Pacific biosciences

SMRT

Smart cell sequencing

ST

Sequence type

V.(#)

Program Version followed by number

Authors’ contributions

AKP performed sample preparation, curation of the genome and drafted the manuscript. JRL conceived the study and helped to draft the manuscript. RCR helped conceive the study and the drafting of the manuscript. DWC participated in the design of the study and helped to revise the manuscript. AG participated in the design of the study, statistical analysis, and helped to revise the manuscript. MCM participated in the design of the study, statistical analysis, and helped to revise the manuscript. XD participated in the design of the study, statistical analysis, and helped to revise the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Anish K. Pandey, Email: anishkumarpandey89@gmail.com

Robert C. Read, Email: r.c.read@soton.ac.uk

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