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Article

New Wolbachia pipientis Genotype Increasing Heat Stress Resistance of Drosophila melanogaster Host Is Characterized by a Large Chromosomal Inversion

by
Aleksandra E. Korenskaia
1,2,3,†,
Olga D. Shishkina
1,3,†,
Alexandra I. Klimenko
1,2,‡,
Olga V. Andreenkova
1,
Margarita A. Bobrovskikh
1,
Natalja V. Shatskaya
1,
Gennady V. Vasiliev
1 and
Nataly E. Gruntenko
1,*,‡
1
Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia
2
Kurchatov Genomics Center, Institute of Cytology and Genetics, SB RAS, 630090 Novosibirsk, Russia
3
Department of Natural Sciences, Novosibirsk State University, Pirogova St. 1, 630090 Novosibirsk, Russia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2022, 23(24), 16212; https://doi.org/10.3390/ijms232416212
Submission received: 11 November 2022 / Revised: 12 December 2022 / Accepted: 15 December 2022 / Published: 19 December 2022
(This article belongs to the Special Issue Host-Microbe Interaction 2022)

Abstract

:
The maternally transmitted endocellular bacteria Wolbachia is a well-known symbiont of insects, demonstrating both negative and positive effects on host fitness. The previously found Wolbachia strain wMelPlus is characterized by a positive effect on the stress-resistance of its host Drosophila melanogaster, under heat stress conditions. This investigation is dedicated to studying the genomic underpinnings of such an effect. We sequenced two closely related Wolbachia strains, wMelPlus and wMelCS112, assembled their complete genomes, and performed comparative genomic analysis engaging available Wolbachia genomes from the wMel and wMelCS groups. Despite the two strains under study sharing very close gene-composition, we discovered a large (>1/6 of total genome) chromosomal inversion in wMelPlus, spanning through the region that includes the area of the inversion earlier found in the wMel group of Wolbachia genotypes. A number of genes in unique inversion blocks of wMelPlus were identified that might be involved in the induction of a stress-resistant phenotype in the host. We hypothesize that such an inversion could rearrange established genetic regulatory-networks, causing the observed effects of such a complex fly phenotype as a modulation of heat stress resistance. Based on our findings, we propose that wMelPlus be distinguished as a separate genotype of the wMelCS group, named wMelCS3.

1. Introduction

Environment plays the largest role in creating unfavorable conditions for the survival of an organism. The most common causes of abiotic stress are unpredictable temperature fluctuations and other climate-dependent phenomena. In response to these fluctuations, physiological and behavioral changes occur in order to help living organism to adapt to the new conditions. These adaptive responses ensure the effective regulation of reproduction and ageing in most animals, including in an important model organism Drosophila melanogaster (Diptera: Drosophilidae).
On the other hand, an important factor of biotic nature affecting the biology of organisms is the potential endosymbiotic interference in many of their biochemical pathways. Bearing endosymbionts is usually rather costly to the host, and can lead to a number of trade-offs. To minimize some of the costs of living, some symbionts develop a mutually beneficial relationship. Microorganisms coexisting with their hosts can provide them with vitamins and essential amino acids [1,2]. In some cases, the presence of endosymbionts has a great impact on the host’s response to stress [3,4]. Thus, two major factors, the harsh environment and endosymbiotic presence could be linked through a shared impact on the stress-response.
One of the most widely spread endosymbionts of insects, spiders and nematodes is α-Proteobacteria Wolbachia [5,6]. An overwhelming amount of literature has been published on the subject of interaction between the host and Wolbachia (reviewed in [7]). Yet, the symbiosis of insects and Wolbachia remains a topic shrouded in mystery.
Firstly, the relationships between Wolbachia and its host have both mutualistic and parasitic traits, which complicates our understanding of the interactions within this system (reviewed in [7,8,9]). To make an accurate assessment of Wolbachia’s influence on the host it is necessary to include data on as many associations between strains of this bacterium and species (or even lines of the same species) of host-insects, as feasible. This task seems almost impossible, since new strains with new traits are discovered nearly every year. The numerous observed effects caused by the symbiont on the different aspects of life of the hosts suggest that determining whether Wolbachia is friend or foe to the host is not as simple as separating black from white. Researchers focus instead on the specific effects of Wolbachia on the objects of their interest. This approach allows us to make accurate judgments on a case-by-case basis. The two most-known deleterious effects Wolbachia causes are cytoplasmic incompatibility (CI), present in many species [10] and severe lifespan shortening, caused by the infamous wMelPop strain first found in the laboratory line of Drosophila melanogaster [11]. CI effects Wolbachia transmission, and majorly increases the infection frequencies in the host-populations. In this case, the Wolbachia-carrying hosts reproduce better than the hosts without Wolbachia. Meanwhile, wMelPop effects the host viability in a negative way, putting the host at a disadvantage. Despite the fact that the success of the symbiont directly depends on the success of the host, Wolbachia does not always contribute positively to the host’s competitive ability. Of course, many strains of Wolbachia are seemingly neutral: they are not harmful and nor do they provide any registered benefits to their host.
Secondly, most researchers put the spotlight on the manipulations of the host species’ reproduction, and not on a possible influence of Wolbachia on the processes in the somatic cells. This has resulted in the limited attention that this area of research has received in the literature. For cases where the alteration of the host reproduction cannot explain the prevalence of Wolbachia in the host population, endosymbiont effects on host fitness can be an alternative reasonable explanation [12]. For example, it was shown that the resistance of Drosophila melanogaster to RNA viruses depends on the presence of Wolbachia [13,14]. A combination of the host’s genetic background and the Wolbachia strain plays a role in changing behavioral traits such as host locomotor-activity [15,16,17] and rate of mating [16,17,18]. Identical wMelCS variants have effects of different intensity on D. melanogaster stress-resistance, depending on the host line [19]. A similar idea is expressed by Dean [20]. Therefore, nature and the magnitude of different effects on host fitness also vary, depending on the combination of the host line and the strain of Wolbachia.
These examples show us that the relationship between small taxonomic units, such as lines and strains, are more complex than one might expect, and these nuances need to be carefully considered. This leads us to the third big problem of Wolbachia studies: small taxonomic units within the same species are often indistinguishable by scientists, even though this distinction could be key in the matter of research. Wolbachia infection in D. melanogaster was first described as a single clonal infection, and for this reason it is still often referred to as a single Wolbachia strain—wMel. However, Riegler et al. in [21] separated five different genotypes of Wolbachia of D. melanogaster, based on polymorphic markers. It was theorized that several distinct lineages originated from a single ancestral Wolbachia infection [21,22], although the exact number of lineages is yet to be specified. Newly found variants of infection in D. melanogaster are usually referred to in the literature as strains, despite the fact that this title is also reserved for all Wolbachia infections in this host-species. Finding a new strain is a great stroke of luck for the researcher. However, often no information is provided in a study introducing this strain to fit it into one of the distinct genotypes. The robust tool for genotyping usually serving this purpose is a system called multilocus sequence typing (MLST).
When it comes to naming a novel strain, there are many approaches: the name might represent a certain mutation in a known locus, a certain phenotype of the host, or the geographical origin of a new strain [23,24]. As pointed out by Iturbe-Ormaetxe et al. [25], Wolbachia strains with identical MLST profiles can have different names to indicate the geographical area from where the strain was isolated. Unfortunately, this creates confusion and a necessity to reach out for clarification. Thus, similar names sometimes convey different information, and can be easily mixed up.
We had previously found a novel strain of Wolbachia pipientis named wMelPlus, which provides an increase in resistance to the heat stress of its host, the model species D. melanogaster [4]. Such increase in fitness is a serious advantage, yet its mechanisms are still unknown. The discovery of this novel strain can provide a promising source for studying often overlooked, hidden Wolbachia diversity. According to Ilinsky [22], this strain obtained from the wild-type D. melanogaster line w153 is a variant of the wMelCS genotype, as well as the pathogenic wMelPop.
Genomic analysis might be at the heart of our understanding of the mechanisms by which endosymbionts might provide fitness benefits to the host. The accessibility of the complete genomes of both species in symbiosis creates an ideal system for studying these effects. The past fifty years have seen increasingly rapid advances in the field of deciphering nucleotide sequences. Next-generation technologies have become key instruments in genomics.
Using the comparative genomic analysis, the pathogenic effect of wMelPop was shown to correlate with the copy number of the Octomom sequence [26]. This method proved to be reliable for revealing the nature of such a vital effect on fitness.
Here, we sequence, assemble and compare genomes of two closely related Wolbachia strains of the wMelCS genotype: wMelCS112 and wMelPlus. The main purpose was to find the differences between the Wolbachia strain which has a positive effect on D. melanogaster’s stress resistance and the Wolbachia strain which does not.
Rare Wolbachia variants of D. melanogaster are often found in laboratory stocks. Did they occur in natural populations first, or did they arise under laboratory conditions?
This project provides an important opportunity to advance our understanding of the complex relationships between Wolbachia and its insect hosts. It is hoped that this study will lead to new insights into the evolution of Wolbachia infections.

2. Results and Discussion

2.1. Hybrid-Assembling Genome of a Novel Wolbachia Strain

We have assembled the genomes of two Wolbachia strains (wMelCS112 and wMelPlus), based on sequencing the material obtained from the ovaries and homogenized, whole-female infected flies of Drosophila melanogaster Bi90wMelCS112 and Bi90wMelPlus lines (see Section 3, for details). The combination of two types of sequencing technologies, the Oxford Nanopore® (Oxford Nanopore Technologies, Oxford, UK), yielding long-read libraries with the Illumina MiSeq® (Illumina, San Diego, CA, USA), allowed us to assembly a high quality chromosome-level assembly of the Wolbachia genome. The quality of the resulting assemblies, including the results of genome polishing, have been assessed using contiguity and orthology measures, and the comparison is presented in Table 1.

2.2. From Assembly to Annotation of Genomes

We compared the assembled genomes of the most closely related yet differing in their effect, Wolbachia strains—wMelPlus and wMelCS112, to identify the differences in gene-set composition and their polymorphisms. The annotation of the obtained assemblies showed that there are minor differences between the analyzed strains.
We identified variation in gene set between wMelPlus and wMelCS112, using OrthoFinder [27]. Only two groups of orthologous genes (orthogroups), yielding rather small and uncharacterized protein products, revealed discrepancies between the two analyzed strains (see Table 2).
The gene of one of these proteins (WMELCS112_00485) turned out to be unique for a wMelCS strain. Its gene lies in the same operon as another uncharacterized gene (WMELCS112_00486), which contains the TrbC pilin domain and is an orthologue of WMELPLUS_00417. Thus, it appears that wMelPlus has lost one of the genes from this operon, with unknown function.
Another orthogroup is represented by three gene copies in wMelCS112 (WMELCS112_00749, WMELCS112_00771, WMELCS112_00896) and two in wMelPlus (WMELPLUS_00748, WMELPLUS_00770). These genes are single (not included in any known operon), uncharacterized, and do not contain any known domains.
Furthermore, after SNP calling we identified 7 SNPs residing in coding sequences, including synonymous and missense variants (see Table 3).
Most of the identified SNPs cannot be attributed to any known genes involved in the host–symbiont interaction. Thus, DNA gyrase subunit B is known to be involved in maintaining the bacterial chromosome in an underwound state [28]; the IS4-family transposase is required for excising and inserting the corresponding mobile element [29], and the tyrosine recombinase XerD is known to participate in a site-specific recombination in prokaryotes, serving to resolve dimers of circular chromosomes [30]. Therefore, we conclude that the stress-resistant phenotype might not be determined by genetic polymorphisms, at this level.

2.3. Large Chromosomal Inversion as a Probable Cause for a Phenotype of Interest

Besides these minor differences in the gene-set composition and SNPs, we found a large inversion in the region (308,915…531,369) spanning 222,454 bp in the wMelPlus strain. To rule out the possibility of an artifact, we mapped long reads on the reference genome and visualized the results with an IGV genome-browser. The regions encompassing the boundaries of the inversion are highly covered with the long reads. Moreover, the boundaries of the inversion coincide with the gene WMELPLUS_00339 IS5 of family transposase ISWpi1 on one side, and with the gene WMELPLUS_00563 IS5 family transposase ISWpi1 on another side. There are numerous studies showing that various transposases, including the IS5 family, are able to promote the emergence of inversions, due to homologous recombination between the transposase genes [31,32,33]. These facts indicate that it is a true inversion and not a misassembly. It is known from the literature that such a rearrangement can affect the expression of respective genes and change a phenotype, even without mutations in ORFs [34]. For instance, a 2.1 Mb inversion for the E. coli strain resulting in an increase in resistance to antibiotics and sodium, has been shown [35].
This inversion contains 102 genes with a known annotated product, and 207 genes in total (see Tables S1 and S4 in Supplementary Materials). It constitutes ~1/6 of Wolbachia genes, including those concerned with basic cellular processes, enzymes and transporters. Furthermore, there are also a large number of hypothetical proteins of unknown function, which can be investigated in future studies. Unlike such microorganisms as Lactococcus lactis or Mycoplasma genitalium and Mycoplasma pneumonia, which are known for ~80% of their genes being located on the leading strand [31,36], W. pipientis shows no clear gene-strand bias (we discuss this point in detail in Section 2.4) while producing viable phenotypes under large inversions.
We hypothesize that dysregulation of the involved genes has interfered in the crosstalk between Drosophila-Wolbachia genetic regulatory circuits, causing observed effects in such a complex phenomenon as fly heat stress response. One of the well-known regulatory complexes is Octomom—a region containing eight Wolbachia genes, whose loss or amplification is responsible for wMelPop over-proliferation [26,37]. Therefore we examined the position of Octomom in regard to the identified inversion. Only one copy of Octomom is present in the wMelPlus genome, just as in the wMelCS_b genome. However, in wMelPlus, Octomom is located inside the inversion on the lagging strand (see Figure 1), which could have an impact on Wolbachia proliferation in a host; however, there is no clear evidence yet.

2.4. Comparative Genomic Analysis of wMel and CS Groups of Wolbachia Pipientis Strains

To shed light on the issue of inversions in Wolbachia symbionts of D. melanogaster, we performed a comparative genomic analysis of those wMel and wMelCS groups of Wolbachia pipientis strains whose complete genomes were available (for details see Section 3.4). The results of whole genome comparisons are presented in Figure 1.
It is known that the inversion between wMel and wMelCS is a widely used trait for Wolbachia genotyping, to distinguish these strains using the MLST approach [21]. It is even more intriguing that the inversion in a similar region occurred in wMelPlus independently, since other MLST markers indicate that this strain definitely belongs to the wMelCS group. However, our analysis showed that there are some differences between these similar inversions in wMelPlus and wMel, namely, “blue” (308,921…316,275) and “yellow” (463,923…531,364) regions (see Figure 1), and we will regard these as unique inversion blocks in future. It is worth noting that since the wMelPlus inversion is not the same inversion as we see in the wMel strain, the product for wMelPlus is not synthesized using the primers for the inversion identification proposed by Riegler et al. [21], thereby classifying wMelPlus as a member of the CS group.
There are genes located in these particular regions (see Tables S2 and S3) that are of specific interest because they might be involved in the induction of a stress-resistant phenotype, which manifests in D. melanogaster infected with wMelPlus but not with other known Wolbachia genotypes D. melanogaster endosymbionts [4].
When speaking of potential bacteria–host interaction, it is important to draw attention to those genes encoding products that excrete into the environment of the bacterial cell, and thereby are able to directly interact with the host cell. Among the list of genes of sensing, secretion and transcription-regulation [38] that might be involved into the host–microbe interactions of Wolbachia, there is only one protein-encoding gene from the unique inversion blocks which has a product that contains signal peptides, indicating its putative extracellular localization—WMELPLUS_00535 (“yellow” region)—presumably a trans-membrane protein containing type IV-secretion-system domain (TrbC/VIRB2 pilin), which has changed its location due to inversion from lagging to leading strand. There are also three copies of genes coding WsnRNA46 (“yellow” region)—a small non-coding RNA, which is known for being excreted into the host cells and employing the mechanism of RNA-interference to up-regulate the Dynein heavy chain gene (Dhc)—a microtubular motor protein, which is important for Wolbachia transmission into Drosophila oocytes [39,40].
As for genes located near the inversion, the position of gene SecA (WMELPLUS_00566) is less than two Kbases from the distal (right) edge of inversion. The SecA gene is part of the SEC system, which translocates proteins across or into the inner membrane, and can also be involved in the regulation of various processes mediating host–bacteria interactions.
Following the hypothesis that dysregulation of the involved genes could interfere with the established genetic regulatory circuits, due to the inversion, we focused our attention on some co-regulated groups of Wolbachia genes known from the literature. We examined three mutually non-exclusive classes of co-expressed genes discussed in [41]:
1.
GroES/WD0308, DnaK/WD0928, Hsp90/WD1277, GroEL/WD0307: genes that show high relative expression in Drosophila embryos, with down-regulation later in the life cycle.
2.
WspB/WD0009, TerC/WD0194, SPFH domain/WD0482, type II secretion/WD0500, HlyD/WD0649, type I secretion/WD0770, VirB3/WD0859, Rhoptry surface protein related/WD1041, WD0191, WD0385, WD0438, WD1213, DksA/WD1094: the up-regulated genes that increase in relative expression starting with the early larval stages and carrying on into adulthood, with decreases at the late larval (12 hr) stage and increases at the white prepupal (2 and 3 d) stages.
3.
WD0291, WD0292, WD0438: genes that show up-regulation primarily in D. melanogaster adults, with higher expression in adult males relative to adult females, at the same age.
The same gene identifiers as in [41] were taken, from Wolbachia wMel reference-genome locus tags (Ensembl Genomes Release 24, Wolbachia_endosymbiont_of_Drosophila_melanogaster.GCA_000008025.1.24). We found that only several genes from the second (WD0482/WMELPLUS_00427, WD0500/WMELPLUS_00443, WD0385/WMELPLUS_00501, WD0438/WMELPLUS_00383) and third classes (WD0438/WMELPLUS_00383) are located in the identified inversion, and only one of them (WD0385/WMELPLUS_00501) is located in a unique inversion block (namely, “yellow” region) and therefore changes its localization compared with both the wMel and wMelCS strains, whereas other proteins from the second class stay outside the inversion. The corresponding protein contains the ankyrin repeat domain, which might indicate its potential role in protein–protein interactions.
Despite the fact that the genomes of Wolbachia endosymbionts of Drosophila melanogaster are relatively similar, carrying a small number of polymorphisms, the classification of these strains using average nucleotide identity (ANI), demonstrates meaningful topology (see Figure 2).
The wMel and CS groups form two clusters, and the wMelPop and wMelPop2 strains also group together. These results give us some evidence that the closest relative of wMelPlus is the wMelCS112 strain.
As has been mentioned already, many bacteria tend to demonstrate preference for gene allocation on the leading rather than the lagging strand, because the latter suffers from replisome and RNA-polymerase collisions [42], which decrease the replication rate and affect bacterial fitness [43,44]. The effect of such a preference is known as gene-strand bias (GSB) [34]. We calculated GSBp (see formula (2)) for the Wolbachia strains that we used for the comparative genomic analysis, and the results are presented in Table 4.
The results of gene-strand bias analysis show that the analyzed Wolbachia strains demonstrate no clear strand preference; however, bearing in mind the general trend among bacteria for GSB to be greater than 50% [45,46] one can assume that the inversions in the wMel and wMelPlus strains, which result in a decrease in GSBp values below this threshold, are of recent origin, and wMelCS is more ancient than both the wMel and wMelPlus strains, which is in accordance with the replacement hypothesis [21].
Endosymbiosis of Wolbachia and Drosophila puts a number of constraints on the evolution of bacterial species, to ensure a high-tuned coupled functioning of essential processes. Bacteria, having relatively compact genomes, cannot afford drastic changes in their protein repertoire and have to resort to more subtle regulation such as chromosomal rearrangements, in particular, inversions. Inversions are known to have a large impact on different aspects of an organism’s life—from suppressing recombination between co-adapted genes to interfering with the regulatory networks influencing gene expression [47], which can strongly affect the phenotype [48,49] and adaptation to an environment [50,51]. Although their effects are more pronounced in eukaryotes, inversions are widespread in prokaryotes, too [52,53,54], altering the expression of genes [48] and even bringing about diversity at a cell-population level [49]. We suggest that the inversion that we discovered by comparing two closely related Wolbachia strains—wMelPlus and wMelCS112—could disrupt the established groups of genes and regulatory elements (or lead to the assemblage of new groups such as these), which might influence the phenotype under heat stress conditions. We have identified a number of genes in unique inversion blocks of wMelPlus, some of them known to be members of already known co-expressed classes, which might be involved in the induction of a stress-resistant phenotype in the host, and are worth investigating in future studies. Thus, as a result of our comparative genomic analysis, we put forward the hypothesis that the discovered chromosome inversion in the wMelPlus Wolbachia strain is the probable cause of the corresponding Drosophila’s stress-resistant phenotype, and we suggest that this hypothesis requires further experimentation. It is important to note that a slightly smaller inversion [21] in this region in the wMel strain has been previously described; thus, the emergence of such an “inversion hotspot” might indicate that there is a selection favoring this type of chromosomal rearrangement in Wolbachia. While detailed phylogeny of Drosophila endosymbiotic Wolbachia remains obscure, this study sheds some light on its particular features and the role of inversions in their diversity.

3. Materials and Methods

3.1. Drosophila Lines and Rearing

The females of the D. melanogaster wild-type line Bi90 carrying either wMelCS112 or wMelPlus Wolbachia strains were taken for the study at the age of 11 days. Before that, flies were maintained on standard food (agar-agar, 7 g/L; corn grits, 50 g/L; dry yeast, 18 g/L; sugar, 40 g/L) in the MIR-554 incubator (Sanyo, Osaka, Japan) at 25 °C under a 12:12 h light–dark cycle.

3.2. Genomic DNA Extraction and Sequencing

Wolbachia DNA was extracted from a whole Drosophila female (150 flies for one sample) or its ovaries (150 pairs for one sample), following the protocol described in [55].
For MiSeq sequencing, 1 mkg DNA from whole flies was fragmented using a Covaris M220 sonicator with parameters optimized for a maximum fragment-size of approximately 400 bp. Barcoded-genome libraries were prepared, using 50 ng of fragmented DNA, with Roche KAPA Hyper Prep Kit, KAPA UDI adapters, according to the manufacturer’s protocol for dual size-selection. The amplification of libraries was carried out in 9 cycles. The quality and molarity of the libraries were determined using a Bioanalyzer BA2100 and Qubit fluorim-eter. After normalization, the barcoded libraries were pooled and sequenced, using the MiSeq Reagent Kit v2 (500-cycles).
For Nanopore sequencing, 1 mkg DNA was fragmented by pipetting five times in 20 mkl volume. Libraries were prepared using the NEBNext® Companion Module for Oxford Nanopore Technologies® Ligation Sequencing (Oxford Nanopore Technologies, Oxford, UK), according to the manufacturer’s protocol without barcoding, and using a long-fragment buffer at the washing step. Nanopore sequencing was performed using the MinION Mk1C device, SpotON Flow Cell (R9.4) and Ligation Sequencing Kit (Oxford Nanopore Technologies, Oxford, UK).

3.3. Genome Assembly, Polishing and Annotation Pipeline

First, standard quality and contamination control procedures were performed, using fastp [56] and BWA against the probable contaminants such as the host’s nuclear and mitochondrial sequences, and the human and synthetic sequences (vector contamination, adapters, linkers, and primers from the UniVec database).
We used the Trycycler [57] assembler for a long-read assembling of Wolbachia genomes based on Oxford Nanopore sequencing data (the assembly and polishing pipeline is presented in Figure 3). The entire long-read library was split into 12 subsets and two parts—the first six were assembled with Flye [58] and the remaining six subsets with Raven [59], before scaffolding with Trycycler. The consensus assembly generated by Trycyler was corrected during subsequent hybrid assembling with Illumina Miseq short reads, using Polypolish [60]. Genome polishing was performed using the POLCA [61] tool. We assessed the quality of the resulting assemblies using QUAST [62] and BUSCO [63].
The obtained genomes were annotated using the Prokka [64] annotation pipeline (v. 1.14.6), and additionally annotated with BLAST alignment against the CDD database. To collect more information about the genes located in the inversion, the operons for both strains were predicted using the Operon-mapper web service [65]. The localization of the products of the analyzed genes was predicted using the DeepTMHMM [66] and SignalP [67] web services. The domains of the poorly annotated genes were predicted by running the HMMER [68] against the Pfam database [69].
We also performed SNP calling in the coding sequences in the obtained assemblies based on Illumina Miseq short-read libraries. These reads, obtained from the wMelPlus strain, were mapped to the assembled genome of wMelCS112 using Snippy on the Galaxy platform [70]. The obtained variants were annotated using SnpEff [71] on the Galaxy platform with the upstream/downstream length equal to 0 bp, using the wMelCS112 genome as a reference. The comparisons of the gene sets for the wMelCS112, wMelPlus and the set of the reference genomes were made using OrthoFinder [27].

3.4. Comparative Genome Analysis

For the comparative genome analysis, we used the obtained assemblies for the wMelPlus and wMelCS strains and 12 reference genomes of Wolbachia endosymbionts of D. melanogaster, which were available on public databases (see Table 5). All assemblies were annotated using Prokka version 1.14.6.
These genomes were analyzed with a tool for phylogenetic orthology inference, OrthoFinder [27], which classified genes of the assemblies under analysis into orthogroups. These orthogroups were examined for the differences in number of genes, i.e., variations in orthogroup presence in a genome, including copy-number variation. The results were verified with BLAST.
The resulting chromosome-level annotated assemblies were compared with the already published genomes of W. pipientis. The multiple genome alignment of the wMelPlus, wMelCS112, and wMelCS_b strains was carried out using the ProgressiveMauve [76]. The mapping of the long reads onto the assembled genomes was performed using the IGV. The annotation was visualized with the Unipro UGENE [77].
The phylogenetic tree was reconstructed based on average-nucleotide-identity (ANI) values obtained with the fastANI tool [78]. The pairwise ANI-values were calculated between a number of Wolbachia endosymbionts of Drosophila melanogaster strains, using the complete-genome assembly level (see Table 5), the wMelCS112 strain, the wMelPlus strain, and wYak (GCF_018467115.1), which is the Wolbachia endosymbiont of Drosophila yakuba, thus representing an outgroup. The obtained matrix of ANI values was visualized as a dendrogram using the gplots package in R.
Given a genome with annotated genes, genome-strand bias (GSB) can be calculated using the following formula:
G S B = G + G
where G+ is the set of genes located on the leading strand, and G is the total set of genes. Alternatively, similar characteristics can be calculated using a subset of protein-coding genes:
G S B p = G p + G p
where G+ is the set of protein-coding genes located on the leading strand, and G is the total set of protein-coding genes.

4. Conclusions

The genome assembly of a new W. pipientis strain was obtained. It exhibits enough quality for subsequent comparative-genomics analysis, and can be regarded as a promising source for studying different aspects of its endosymbiosis with Drosophila melanogaster.
The strain wMelPlus is shown to have such striking differences when compared with the known samples of wMelCS Wolbachia genomes, that it deserves to be defined as a separate genotype of the wMelCS group, named wMelCS3.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ijms232416212/s1.

Author Contributions

Conceptualization, N.E.G. and A.I.K.; methodology, A.I.K. and G.V.V.; validation, O.V.A. and G.V.V.; formal analysis, A.E.K. and A.I.K.; investigation O.V.A., O.D.S., M.A.B., G.V.V. and N.V.S.; writing—original draft, A.I.K., O.D.S., A.E.K. and G.V.V.; writing—review and editing, A.I.K. and N.E.G.; visualization, A.E.K. and A.I.K.; data curation, A.I.K. and A.E.K.; supervision, A.I.K. and N.E.G.; project administration, N.E.G.; funding acquisition, N.E.G. All authors have read and agreed to the published version of the manuscript.

Funding

The study is supported by RSF grant No. 21-14-00090. The maintenance of experimental D. melanogaster strains was carried out in the Drosophila collection of the Institute of Cytology and Genetics SB RAS and was supported by BP #FWNR-2022-0019 of the Ministry of Science and Higher Education of the Russian Federation.

Institutional Review Board Statement

The study was conducted according to the protocols approved by the Committee on the Ethics of Animal Experiments of the ICG SB RAS (Permit Number: 7 of 19 November 2011).

Informed Consent Statement

Not applicable.

Data Availability Statement

Data have been deposited in the EUROPEAN ENA database (Project: PRJEB57437); the accession numbers are ERS14237169 for wMelPlus and ERS14237170 for wMelCS112 samples with Illumina MiSeq reads ERR10508789 and ERR10556501 for wMelPlus and wMelCS112, correspondingly, and MinION reads ERR10558084 and ERR10558085 for wMelPlus and wMelCS112, correspondingly. The annotated genome assemblies are available under accessions GCA_947533255 and GCA_947538885 for wMelPlus and wMelCS112, respectively.

Acknowledgments

We would like to express our acknowledgements to Yury Ilinsky for the fruitful scientific discussions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hosokawa, T.; Koga, R.; Kikuchi, Y.; Meng, X.-Y.; Fukatsu, T. Wolbachia as a bacteriocyte-associated nutritional mutualist. Proc. Natl. Acad. Sci. USA 2010, 107, 769–774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. McFall-Ngai, M.; Hadfield, M.G.; Bosch, T.C.G.; Carey, H.V.; Domazet-Lošo, T.; Douglas, A.E.; Dubilier, N.; Eberl, G.; Fukami, T.; Gilbert, S.F.; et al. Animals in a bacterial world, a new imperative for the life sciences. Proc. Natl. Acad. Sci. USA 2013, 110, 3229–3236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Capobianco, F., III; Nandkumar, S.; Parker, J.D. Wolbachia affects survival to different oxidative stressors dependent upon the genetic background in Drosophila melanogaster. Physiol. Entomol. 2018, 43, 239–244. [Google Scholar] [CrossRef]
  4. Burdina, E.V.; Bykov, R.A.; Menshanov, P.N.; Ilinsky, Y.Y.; Gruntenko, N.E. Unique Wolbachia strain wMelPlus increases heat stress resistance in Drosophila melanogaster. Arch. Insect Biochem. Physiol. 2021, 106, e21776. [Google Scholar] [CrossRef]
  5. Hertig, M.; Wolbach, S.B. Studies on Rickettsia-like Micro-Organisms in Insects. J. Med. Res. 1924, 44, 329–374.7. [Google Scholar] [PubMed]
  6. Hertig, M. The Rickettsia, Wolbachia pipientis (gen. et sp.n.) and Associated Inclusions of the Mosquito, Culex pipiens. Parasitology 1936, 28, 453–486. [Google Scholar] [CrossRef]
  7. Kaur, R.; Shropshire, J.D.; Cross, K.L.; Leigh, B.; Mansueto, A.J.; Stewart, V.; Bordenstein, S.R.; Bordenstein, S.R. Living in the endosymbiotic world of Wolbachia: A centennial review. Cell Host Microbe 2021, 29, 879–893. [Google Scholar] [CrossRef]
  8. O’Neill, S.L. Wolbachia pipientis: Symbiont or parasite? Parasitol. Today 1995, 11, 168–169. [Google Scholar] [CrossRef]
  9. Burdina, E.V.; Gruntenko, N.E. Physiological Aspects of Wolbachia pipientisDrosophila melanogaster Relationship. J. Evol. Biochem. Physiol. 2022, 58, 303–317. [Google Scholar] [CrossRef]
  10. Hoffmann, A.A.; Turelli, M. Cytoplasmic incompatibility in insects. Influ. Passeng. Inherit. Microorg. Arthropod Reprod. 1997, 42–80. [Google Scholar]
  11. Min, K.T.; Benzer, S. Wolbachia, normally a symbiont of Drosophila, can be virulent, causing degeneration and early death. Proc. Natl. Acad. Sci. USA 1997, 94, 10792–10796. [Google Scholar] [CrossRef] [PubMed]
  12. Harcombe, W.; Hoffmann, A.A. Wolbachia effects in Drosophila melanogaster: In search of fitness benefits. J. Invertebr. Pathol. 2004, 87, 45–50. [Google Scholar] [CrossRef]
  13. Chrostek, E.; Marialva, M.S.P.; Esteves, S.S.; Weinert, L.A.; Martinez, J.; Jiggins, F.M.; Teixeira, L. Wolbachia Variants Induce Differential Protection to Viruses in Drosophila melanogaster: A Phenotypic and Phylogenomic Analysis. PLoS Genet. 2013, 9, e1003896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Pimentel, A.C.; Cesar, C.S.; Martins, M.; Cogni, R. The Antiviral Effects of the Symbiont Bacteria Wolbachia in Insects. Front. Immunol. 2021, 11, 626329. [Google Scholar] [CrossRef] [PubMed]
  15. de Crespigny, F.E.C.; Pitt, T.D.; Wedell, N. Increased male mating rate in Drosophila is associated with Wolbachia infection. J. Evol. Biol. 2006, 19, 1964–1972. [Google Scholar] [CrossRef]
  16. Evans, O.; Caragata, E.P.; McMeniman, C.J.; Woolfit, M.; Green, D.C.; Williams, C.R.; Franklin, C.E.; O’Neill, S.L.; McGraw, E.A. Increased locomotor activity and metabolism of Aedes aegypti infected with a life-shortening strain of Wolbachia pipientis. J. Exp. Biol. 2009, 212, 1436–1441. [Google Scholar] [CrossRef] [Green Version]
  17. Gazla, I.N.; Carracedo, M.C. Effect of intracellular Wolbachia on interspecific crosses between Drosophila melanogaster and Drosophila simulans. Genet. Mol. Res. 2009, 8, 861–869. [Google Scholar] [CrossRef]
  18. Okayama, K.; Katsuki, M.; Sumida, Y.; Okada, K. Costs and benefits of symbiosis between a bean beetle and Wolbachia. Anim. Behav. 2016, 119, 19–26. [Google Scholar] [CrossRef]
  19. Fry, A.J.; Rand, D.M. Wolbachia interactions that determine Drosophila melanogaster survival. Evolution 2002, 56, 1976–1981. [Google Scholar] [CrossRef]
  20. Dean, M.D. A Wolbachia-associated fitness benefit depends on genetic background in Drosophila simulans. Proc. R. Soc. B Biol. Sci. 2006, 273, 1415–1420. [Google Scholar] [CrossRef] [Green Version]
  21. Riegler, M.; Sidhu, M.; Miller, W.J.; O’Neill, S.L. Evidence for a global Wolbachia replacement in Drosophila melanogaster. Curr. Biol. 2005, 15, 1428–1433. [Google Scholar] [CrossRef] [PubMed]
  22. Ilinsky, Y. Coevolution of Drosophila melanogaster mtDNA and Wolbachia Genotypes. PLoS ONE 2013, 8, e54373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Woolfit, M.; Iturbe-Ormaetxe, I.; Brownlie, J.C.; Walker, T.; Riegler, M.; Seleznev, A.; Popovici, J.; Rancès, E.; Wee, B.A.; Pavlides, J.; et al. Genomic Evolution of the Pathogenic Wolbachia Strain, wMelPop. Genome Biol. Evol. 2013, 5, 2189–2204. [Google Scholar] [CrossRef] [PubMed]
  24. Hague, M.T.J.; Shropshire, J.D.; Caldwell, C.N.; Statz, J.P.; Stanek, K.A.; Conner, W.R.; Cooper, B.S. Temperature effects on cellular host-microbe interactions explain continent-wide endosymbiont prevalence. Curr. Biol. 2022, 32, 878–888.e8. [Google Scholar] [CrossRef]
  25. Iturbe-Ormaetxe, I.; Riegler, M.; O’Neill, S.L. New names for old strains? Wolbachia wSim is actually wRi. Genome Biol. 2005, 6, 401. [Google Scholar] [CrossRef] [Green Version]
  26. Chrostek, E.; Teixeira, L. Mutualism Breakdown by Amplification of Wolbachia Genes. PLoS Biol. 2015, 13, e1002065. [Google Scholar] [CrossRef] [Green Version]
  27. Emms, D.M.; Kelly, S. OrthoFinder: Phylogenetic orthology inference for comparative genomics. Genome Biol. 2019, 20, 238. [Google Scholar] [CrossRef] [Green Version]
  28. Cozzarelli, N.R. DNA gyrase and the supercoiling of DNA. Science 1980, 207, 953–960. [Google Scholar] [CrossRef]
  29. De Palmenaer, D.; Siguier, P.; Mahillon, J. IS4 family goes genomic. BMC Evol. Biol. 2008, 8, 18. [Google Scholar] [CrossRef] [Green Version]
  30. Midonet, C.; Barre, F.-X. Xer Site-Specific Recombination: Promoting Vertical and Horizontal Transmission of Genetic Information. Microbiol. Spectr. 2014, 2, 163–182. [Google Scholar] [CrossRef] [Green Version]
  31. Daveran-Mingot, M.L.; Campo, N.; Ritzenthaler, P.; Le Bourgeois, P. A natural large chromosomal inversion in Lactococcus lactis is mediated by homologous recombination between two insertion sequences. J. Bacteriol. 1998, 180, 4834–4842. [Google Scholar] [CrossRef] [PubMed]
  32. Badia, J.; Ibanez, E.; Sabate, M.; Baldoma, L.; Aguilar, J. A rare 920-kilobase chromosomal inversion mediated by IS1 transposition causes constitutive expression of the yiaK-S operon for carbohydrate utilization in Escherichia coli. J. Biol. Chem. 1998, 273, 8376–8381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Umeda, M.; Ohtsubo, E. Mapping of insertion element IS5 in the Escherichia coli K-12 chromosome. Chromosomal rearrangements mediated by IS5. J. Mol. Biol. 1990, 213, 229–237. [Google Scholar] [CrossRef]
  34. Rocha, E.P. Order and disorder in bacterial genomes. Curr. Opin. Microbiol. 2004, 7, 519–527. [Google Scholar] [CrossRef] [PubMed]
  35. Le, V.V.H.; León-Quezada, R.I.; Biggs, P.J.; Rakonjac, J. A large chromosomal inversion affects antimicrobial sensitivity of Escherichia coli to sodium deoxycholate. Microbiology 2022, 168, 001232. [Google Scholar] [CrossRef] [PubMed]
  36. Achaz, G.; Coissac, E.; Netter, P.; Rocha, E.P.C. Associations Between Inverted Repeats and the Structural Evolution of Bacterial Genomes. Genetics 2003, 164, 1279–1289. [Google Scholar] [CrossRef]
  37. Duarte, E.H.; Carvalho, A.; López-Madrigal, S.; Costa, J.; Teixeira, L. Forward genetics in Wolbachia: Regulation of Wolbachia proliferation by the amplification and deletion of an addictive genomic island. PLoS Genet. 2021, 17, e1009612. [Google Scholar] [CrossRef]
  38. Lindsey, A.R.I. Sensing, signaling, and secretion: A review and analysis of systems for regulating host interaction in Wolbachia. Genes 2020, 11, 813. [Google Scholar] [CrossRef]
  39. Mayoral, J.G.; Hussain, M.; Joubert, D.A.; Iturbe-Ormaetxe, I.; O’Neill, S.L.; Asgari, S. Wolbachia small noncoding RNAs and their role in cross-kingdom communications. Proc. Natl. Acad. Sci. USA 2014, 111, 18721–18726. [Google Scholar] [CrossRef] [Green Version]
  40. Ferree, P.M.; Frydman, H.M.; Li, J.M.; Cao, J.; Wieschaus, E.; Sullivan, W. Wolbachia Utilizes Host Microtubules and Dynein for Anterior Localization in the Drosophila Oocyte. PLoS Pathog. 2005, 1, e14. [Google Scholar] [CrossRef]
  41. Gutzwiller, F.; Carmo, C.R.; Miller, D.E.; Rice, D.W.; Newton, I.L.G.; Hawley, R.S.; Teixeira, L.; Bergman, C.M. Dynamics of Wolbachia pipientis Gene Expression across the Drosophila melanogaster Life Cycle. G3 Genes Genomes Genet. 2015, 5, 2843–2856. [Google Scholar] [CrossRef]
  42. French, S. Consequences of Replication Fork Movement through Transcription Units in Vivo. Science 1992, 258, 1362–1365. [Google Scholar] [CrossRef]
  43. Merrikh, C.N.; Merrikh, H. Gene inversion potentiates bacterial evolvability and virulence. Nat. Commun. 2018, 9, 4662. [Google Scholar] [CrossRef] [PubMed]
  44. Price, M.N. Interruptions in gene expression drive highly expressed operons to the leading strand of DNA replication. Nucleic Acids Res. 2005, 33, 3224–3234. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Rocha, E.P. Is there a role for replication fork asymmetry in the distribution of genes in bacterial genomes? Trends Microbiol. 2002, 10, 393–395. [Google Scholar] [CrossRef]
  46. Lopez, P.; Philippe, H. Composition strand asymmetries in prokaryotic genomes: Mutational bias and biased gene orientation. Comptes Rendus L’académie Sci. Ser. III-Sci. Vie 2001, 324, 201–208. [Google Scholar] [CrossRef] [PubMed]
  47. Said, I.; Byrne, A.; Serrano, V.; Cardeno, C.; Vollmers, C.; Corbett-Detig, R. Linked genetic variation and not genome structure causes widespread differential expression associated with chromosomal inversions. Proc. Natl. Acad. Sci. USA 2018, 115, 5492–5497. [Google Scholar] [CrossRef] [Green Version]
  48. Lato, D.F.; Zeng, Q.; Golding, G.B. Genomic inversions in Escherichia coli alter gene expression and are associated with nucleoid protein binding sites. Genome 2022, 65, 287–299. [Google Scholar] [CrossRef] [PubMed]
  49. Cui, L.; Neoh, H.M.; Iwamoto, A.; Hiramatsu, K. Coordinated phenotype switching with large-scale chromosome flip-flop inversion observed in bacteria. Proc. Natl. Acad. Sci. USA 2012, 109, 5–9. [Google Scholar] [CrossRef] [Green Version]
  50. Wellenreuther, M.; Bernatchez, L. Eco-Evolutionary Genomics of Chromosomal Inversions. Trends Ecol. Evol. 2018, 33, 427–440. [Google Scholar] [CrossRef]
  51. Hoffman, A.; Sgro, C.; Weeks, A. Chromosomal inversion polymorphisms and adaptation. Trends Ecol. Evol. 2004, 19, 482–488. [Google Scholar] [CrossRef] [PubMed]
  52. Zivanovic, Y.; Lopez, P.; Philippe, H.; Forterre, P. Pyrococcus genome comparison evidences chromosome shuffling-driven evolution. Nucleic Acids Res. 2002, 30, 1902–1910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Eisen, J.A.; Heidelberg, J.F.; White, O.; Salzberg, S.L. Evidence for symmetric chromosomal inversions around the replication origin in bacteria. Genome Biol. 2000, 1, research0011.1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Van de Putte, P.; Goosen, N. DNA inversions in phages and bacteria. Trends Genet. 1992, 8, 457–462. [Google Scholar] [CrossRef] [PubMed]
  55. Andreenkova, O.V.; Shishkina, O.D.; Klimenko, A.I.; Korenskaia, A.E.; Bobrovskikh, M.A.; Shatskaya, N.V.; Vasiliev, G.V.; Gruntenko, N.E. Easy and Effective Method for Extracting and Purifying Wolbachia Genomic DNA. Int. J. Mol. Sci. 2022, 23, 15315. [Google Scholar] [CrossRef] [PubMed]
  56. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. fastp: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [PubMed]
  57. Wick, R.R.; Judd, L.M.; Cerdeira, L.T.; Hawkey, J.; Méric, G.; Vezina, B.; Wyres, K.L.; Holt, K.E. Trycycler: Consensus long-read assemblies for bacterial genomes. Genome Biol. 2021, 22, 266. [Google Scholar] [CrossRef]
  58. Kolmogorov, M.; Yuan, J.; Lin, Y.; Pevzner, P.A. Assembly of long, error-prone reads using repeat graphs. Nat. Biotechnol. 2019, 37, 540–546. [Google Scholar] [CrossRef]
  59. Vaser, R.; Šikić, M. Time- and memory-efficient genome assembly with Raven. Nat. Comput. Sci. 2021, 1, 332–336. [Google Scholar] [CrossRef]
  60. Wick, R.R.; Holt, K.E. Polypolish: Short-read polishing of long-read bacterial genome assemblies. PLoS Comput. Biol. 2022, 18, e1009802. [Google Scholar] [CrossRef]
  61. Zimin, A.V.; Salzberg, S.L. The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies. PLoS Comput. Biol. 2020, 16, e1007981. [Google Scholar] [CrossRef] [PubMed]
  62. Gurevich, A.; Saveliev, V.; Vyahhi, N.; Tesler, G. QUAST: Quality assessment tool for genome assemblies. Bioinformatics 2013, 29, 1072–1075. [Google Scholar] [CrossRef] [Green Version]
  63. Manni, M.; Berkeley, M.R.; Seppey, M.; Zdobnov, E.M. BUSCO: Assessing Genomic Data Quality and Beyond. Curr. Protoc. 2021, 1, e323. [Google Scholar] [CrossRef] [PubMed]
  64. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Taboada, B.; Estrada, K.; Ciria, R.; Merino, E. Operon-mapper: A web server for precise operon identification in bacterial and archaeal genomes. Bioinformatics 2018, 34, 4118–4120. [Google Scholar] [CrossRef] [Green Version]
  66. Hallgren, J.; Tsirigos, K.D.; Damgaard Pedersen, M.; Juan, J.; Armenteros, A.; Marcatili, P.; Nielsen, H.; Krogh, A.; Winther, O. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks. bioRxiv 2022. [Google Scholar]
  67. Teufel, F.; Almagro Armenteros, J.J.; Johansen, A.R.; Gíslason, M.H.; Pihl, S.I.; Tsirigos, K.D.; Winther, O.; Brunak, S.; von Heijne, G.; Nielsen, H. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nat. Biotechnol. 2022, 40, 1023–1025. [Google Scholar] [CrossRef]
  68. Mistry, J.; Finn, R.D.; Eddy, S.R.; Bateman, A.; Punta, M. Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions. Nucleic Acids Res. 2013, 41, e121. [Google Scholar] [CrossRef] [Green Version]
  69. Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.L.; Tosatto, S.C.E.; Paladin, L.; Raj, S.; Richardson, L.J.; et al. Pfam: The protein families database in 2021. Nucleic Acids Res. 2021, 49, D412–D419. [Google Scholar] [CrossRef]
  70. Afgan, E.; Baker, D.; Batut, B.; Van Den Beek, M.; Bouvier, D.; Ech, M.; Chilton, J.; Clements, D.; Coraor, N.; Grüning, B.A.; et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 2018, 46, W537–W544. [Google Scholar] [CrossRef] [Green Version]
  71. Cingolani, P.; Platts, A.; Wang, L.L.; Coon, M.; Nguyen, T.; Wang, L.; Land, S.J.; Lu, X.; Ruden, D.M. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 2012, 6, 80–92. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Wu, M.; Sun, L.V.; Vamathevan, J.; Riegler, M.; Deboy, R.; Brownlie, J.C.; McGraw, E.A.; Martin, W.; Esser, C.; Ahmadinejad, N.; et al. Phylogenomics of the reproductive parasite Wolbachia pipientis wMel: A streamlined genome overrun by mobile genetic elements. PLoS Biol. 2004, 2, 327–341. [Google Scholar] [CrossRef] [PubMed]
  73. Genin, S.; Denny, T.P. Pathogenomics of the ralstonia solanacearum species complex. Annu. Rev. Phytopathol. 2012, 50, 67–89. [Google Scholar] [CrossRef] [PubMed]
  74. Hague, M.T.J.; Caldwell, C.N.; Cooper, B.S. Pervasive effects of wolbachia on host temperature preference. mBio 2020, 11, e01768-20. [Google Scholar] [CrossRef]
  75. Hague, M.T.J.; Woods, H.A.; Cooper, B.S. Pervasive effects of Wolbachia on host activity. Biol. Lett. 2021, 17, 20210052. [Google Scholar] [CrossRef]
  76. Darling, A.E.; Mau, B.; Perna, N.T. Progressivemauve: Multiple genome alignment with gene gain, loss and rearrangement. PLoS ONE 2010, 5, e11147. [Google Scholar] [CrossRef] [Green Version]
  77. Okonechnikov, K.; Golosova, O.; Fursov, M. Unipro UGENE: A unified bioinformatics toolkit. Bioinformatics 2012, 28, 1166–1167. [Google Scholar] [CrossRef] [Green Version]
  78. Jain, C.; Rodriguez-R, L.M.; Phillippy, A.M.; Konstantinidis, K.T.; Aluru, S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat. Commun. 2018, 9, 5114. [Google Scholar] [CrossRef]
Figure 1. The inversion map resulting from the comparative genomic analysis of wMel and wMelCS groups of Wolbachia pipientis strains. Different colors represent homologous sequence blocks. Discontinuous joints of blocks depict the inversion breakpoints. White blocks represent Octomom, which is absent in the wMelOctoless strain [37]. These are the coordinates of the homologous sequence blocks in the wMelPlus genome: (1…308,920)—red, (308,921…316,275)—blue, (316,276…463922)—green, (463,923…531,364)—yellow.
Figure 1. The inversion map resulting from the comparative genomic analysis of wMel and wMelCS groups of Wolbachia pipientis strains. Different colors represent homologous sequence blocks. Discontinuous joints of blocks depict the inversion breakpoints. White blocks represent Octomom, which is absent in the wMelOctoless strain [37]. These are the coordinates of the homologous sequence blocks in the wMelPlus genome: (1…308,920)—red, (308,921…316,275)—blue, (316,276…463922)—green, (463,923…531,364)—yellow.
Ijms 23 16212 g001
Figure 2. The dendrogram reflecting genome similarity between the analyzed strains based on average nucleotide-identity (ANI) values. wMel_8025 and wMel_4425 correspond to the wMel strain genome assemblies GCF_000008025.1 and GCF_016584425.1, respectively.
Figure 2. The dendrogram reflecting genome similarity between the analyzed strains based on average nucleotide-identity (ANI) values. wMel_8025 and wMel_4425 correspond to the wMel strain genome assemblies GCF_000008025.1 and GCF_016584425.1, respectively.
Ijms 23 16212 g002
Figure 3. The bioinformatic genome assembly, correction and polishing pipeline used in the current work. Solid lines illustrate the work- and data-flow.
Figure 3. The bioinformatic genome assembly, correction and polishing pipeline used in the current work. Solid lines illustrate the work- and data-flow.
Ijms 23 16212 g003
Table 1. Genome statistics of the resulting genomes obtained from hybrid assembling for both Wolbachia strains and a reference genome. BUSCO analysis has been performed using the Rickettsiales_odb10 data set.
Table 1. Genome statistics of the resulting genomes obtained from hybrid assembling for both Wolbachia strains and a reference genome. BUSCO analysis has been performed using the Rickettsiales_odb10 data set.
Genome StatisticswMelPlus_TryCyclerwMelPlus_PolypolishwMelPlus_FinalwMelCS_TryCyclerwMelCS_PolypolishwMelCS_FinalwMelCS_ b (Reference)
Total length1,266,7041,267,8111,267,8501,266,6791,267,8161,267,8491,267,843
GC content (%)35.2635.2335.2335.2635.2335.2335.23
Duplication ratio0.999110.99911N/A
misassemblies2220000
mismatches per 100 kbp0.950.470.950.630.390.39N/A
indels per 100 kbp89.924.11.0392.23.711.10
Complete and single-copy BUSCOs232361361234361361361
Complete and duplicated BUSCOs0110111
Fragmented BUSCOs800082000
Missing BUSCOs522248222
The polymorphisms between the two strains are discussed in Section 2.2, and we elaborate on the two misassemblies in wMelPlus compared with the reference wMelCS_b genome, in Section 2.3.
Table 2. The differences in the number of genes in orthogroups between the wMePlus and wMelCS112 Wolbachia strains.
Table 2. The differences in the number of genes in orthogroups between the wMePlus and wMelCS112 Wolbachia strains.
Number of Genes in the Orthogroup wMelCS112Number of Genes in the Orthogroup wMelPlusLocus_tags in the wMelCS112 GenomeProductLength (Aminoacid Residues)
10WMELCS112_00485Hypothetical39
32WMELCS112_00749,
WMELCS112_00771,
WMELCS112_00896
Hypothetical58
Table 3. The SNPs between the wMePlus and wMelCS112 Wolbachia strains.
Table 3. The SNPs between the wMePlus and wMelCS112 Wolbachia strains.
PositionImpactGeneGene Locus_tag (wMelCS112/wMelPlus)ProductMutationSubstitution Type
104,567Synonymous variantgyrBWMELCS112_00114/
WMELPLUS_00114
DNA gyrase subunit BAla465Ala
108,911Stop gained WMELCS112_00118/
WMELPLUS_00118
IS4 family transposaseGlu443 *Nonsense change
256,666Missense variant WMELCS112_00283/
WMELPLUS_00283
Hypothetical proteinAsn36AspNeutral AA is changed to acidic AA
396,812Missense variant WMELCS112_00444
/WMELPLUS_00458
Hypothetical proteinGlu616LysAcidic AA is changed to basic AA
624,101Missense variant WMELCS112_0065/
WMELPLUS_00654
Hypothetical proteinAla619ValSame class/polarity/charge substitution
726,291Stop loss and splice-region variantxerD_1WMELCS112_00784/
WMELPLUS_00783
Tyrozine recombinase XerDTer310GluGene extension
1,212,940Synonymous variant WMELCS112_01313/
WMELPLUS_01311
Gly491Gly
* indicates a stop codon.
Table 4. GSBp and the number of protein-coding CDS on the leading and lagging strands for W. pipientis strains.
Table 4. GSBp and the number of protein-coding CDS on the leading and lagging strands for W. pipientis strains.
StrainLeading Strand (+)Lagging Strand (−)Total Number of CDSGSBp (%)
wMelPop684620130452.45399
wMelPop2684620130452.45399
wMelPlus619646126548.93281
wMelCS112652615126751.46014
wMelCS_b650618126851.26183
wMelOctoless638611124951.08086
wMel (GCF_000008025.1)633638127149.8033
wMel (GCF_016584425.1)630639126949.64539
The data of strain of the interest (wMelPlus) are highlighted in gray.
Table 5. The list of species under study (species for which proteomic data were collected) and corresponding assembly accessions.
Table 5. The list of species under study (species for which proteomic data were collected) and corresponding assembly accessions.
AccessionIsolate/StrainAssembly LevelGroupPhenotype
GCF_000008025.1wMelComplete GenomewMel[72]
GCF_000475015.1wMelPopScaffoldwMelCSIt over-replicates, which causes severe life-shortening of its host [73]
GCF_014354335.1wMelCSScaffoldwMelCS[74]
GCF_014354345.1wMelScaffoldwMel[74]
GCF_016584325.1wMelpopComplete GenomewMelCSCauses early death of the host (carries additional copies of Octomom region) [37]
GCF_016584355.1wMelPop2Complete GenomewMelCSCauses early death of the host through over-replication (carries additional copies of Octomom region) [37]
GCF_016584375.1wMelOctolessComplete GenomewMelCSCauses early death of the host through over-replication (the Octoless region is absent) [37]
GCF_016584405.1wMelCS_bComplete GenomewMelCS[37]
GCF_016584425.1wMelComplete GenomewMel[37]
GCF_017916155.1FFD25ScaffoldwMelCS[75]
GCF_021347805.1wMel_TropScaffoldwMelSampled from a tropical climate [24]
GCF_021347845.1wMel_TempScaffoldwMelSampled from a temperate climate [24]
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Korenskaia, A.E.; Shishkina, O.D.; Klimenko, A.I.; Andreenkova, O.V.; Bobrovskikh, M.A.; Shatskaya, N.V.; Vasiliev, G.V.; Gruntenko, N.E. New Wolbachia pipientis Genotype Increasing Heat Stress Resistance of Drosophila melanogaster Host Is Characterized by a Large Chromosomal Inversion. Int. J. Mol. Sci. 2022, 23, 16212. https://doi.org/10.3390/ijms232416212

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Korenskaia AE, Shishkina OD, Klimenko AI, Andreenkova OV, Bobrovskikh MA, Shatskaya NV, Vasiliev GV, Gruntenko NE. New Wolbachia pipientis Genotype Increasing Heat Stress Resistance of Drosophila melanogaster Host Is Characterized by a Large Chromosomal Inversion. International Journal of Molecular Sciences. 2022; 23(24):16212. https://doi.org/10.3390/ijms232416212

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Korenskaia, Aleksandra E., Olga D. Shishkina, Alexandra I. Klimenko, Olga V. Andreenkova, Margarita A. Bobrovskikh, Natalja V. Shatskaya, Gennady V. Vasiliev, and Nataly E. Gruntenko. 2022. "New Wolbachia pipientis Genotype Increasing Heat Stress Resistance of Drosophila melanogaster Host Is Characterized by a Large Chromosomal Inversion" International Journal of Molecular Sciences 23, no. 24: 16212. https://doi.org/10.3390/ijms232416212

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