Skip to main content
Download PDF

Comparative genomics of parasitic silkworm microsporidia reveal an association between genome expansion and host adaptation

BMC Genomics volume 14, Article number: 186 (2013) Cite this article

Abstract

Background

Microsporidian Nosema bombycis has received much attention because the pébrine disease of domesticated silkworms results in great economic losses in the silkworm industry. So far, no effective treatment could be found for pébrine. Compared to other known Nosema parasites, N. bombycis can unusually parasitize a broad range of hosts. To gain some insights into the underlying genetic mechanism of pathological ability and host range expansion in this parasite, a comparative genomic approach is conducted. The genome of two Nosema parasites, N. bombycis and N. antheraeae (an obligatory parasite to undomesticated silkworms Antheraea pernyi), were sequenced and compared with their distantly related species, N. ceranae (an obligatory parasite to honey bees).

Results

Our comparative genomics analysis show that the N. bombycis genome has greatly expanded due to the following three molecular mechanisms: 1) the proliferation of host-derived transposable elements, 2) the acquisition of many horizontally transferred genes from bacteria, and 3) the production of abundnant gene duplications. To our knowledge, duplicated genes derived not only from small-scale events (e.g., tandem duplications) but also from large-scale events (e.g., segmental duplications) have never been seen so abundant in any reported microsporidia genomes. Our relative dating analysis further indicated that these duplication events have arisen recently over very short evolutionary time. Furthermore, several duplicated genes involving in the cytotoxic metabolic pathway were found to undergo positive selection, suggestive of the role of duplicated genes on the adaptive evolution of pathogenic ability.

Conclusions

Genome expansion is rarely considered as the evolutionary outcome acting on those highly reduced and compact parasitic microsporidian genomes. This study, for the first time, demonstrates that the parasitic genomes can expand, instead of shrink, through several common molecular mechanisms such as gene duplication, horizontal gene transfer, and transposable element expansion. We also showed that the duplicated genes can serve as raw materials for evolutionary innovations possibly contributing to the increase of pathologenic ability. Based on our research, we propose that duplicated genes of N. bombycis should be treated as primary targets for treatment designs against pébrine.

Background

Microsporidia are obligate intracellular parasitic fungi that can infect a wide variety of organisms including vertebrate and invertebrate (particularly insects). Some species lead to severe syndromes in immunocompetent hosts and cause opportunistic infections in Acquired Immunodeficiency Syndrome (AIDS) patients [1, 2]. More than 1200 microsporidia species that belong to 150 genera have been reported thus far [3]. Among them, the genus Nosema is the most diverse one. The domesticated silkworm, Bombyx mori, has long been considered as the primary source for the silk production worldwide. A highly mortal disease referred to as pébrine is currently the major threat to the silk production. Pébrine is caused by the infection of the microsporidian parasite, Nosema bombycis. This disease was first recognized during the destruction of the European silk industry in 1857 [4]. N. bombycis infects silkworms through vertical transmission from the mother host to their progenitive eggs, and chronically damages the entire body of the worm (including intestines, silk glands, muscles, and Malpighian tubules). After infections, the silkworm larvae are inactive and slow in development. Later, black spots, a disease symptom called pébrine [5], will appear throughout their bodies and lead to death. Since no effective treatment methods have been developed up to this point, the infections by N. bombycis inevitably cause devastating economic losses in the silkworm industry. Apart from the domesticated silkworms, N. bombycis can also infect various lepidopteran insects [6–8], indicative of their broad hosts range.

So far, the underlying genetic mechanisms of the highly infectious ability and the broad host range of N. bombycis remain unknown. To this end, we conducted a comparative genomic approach, from which we might learn a great deal about the genetic basis as to why and how N. bombycis can be so infectious across various hosts. In this study, we sequenced the genome of two microsporidian parasites: N. bombycis and N. antheraeae (an obligatory parasite to undomesticated silkworms Antheraea pernyi[9]). By comparing their genomes with a published distantly related Nosema genome, N. ceranae[10] (serving as outgroup), we show that the N. bombycis genome surprisingly expands due to the production of duplicated genes, the proliferation of host-derived transposable elements, and the acquisitions of many horizontally transferred genes from bacteria. Some duplicated genes associated with the cytotoxic pathway have experienced positive selection, implying that this adaptive evolution might enhance the infectious ability of N. bombycis, as well as the expansion of its host range. Considering that all reported microsporidian genomes are highly reduced and compact [11, 12], our data, for the first time, reveal a usual genome evolution process showing that the genome of parasites could expand. Those expanded genetic gears might have influenced the infectivity and the survivorship of parasites as we report herein.

Results

Genomic architecture of N. bombycis and N. antheraeae

By using various sequencing platforms, 6.7X, 10X, and 28X physical coverage of whole genome sequence of N. bombycis were obtained from the Sanger sequencing method (plasmids with 2Kb inserts), the miniBAC end sequencing method, and the Illumina short-read sequencing method respectively (Additional file 1). Our sequencing efforts resulted in 1,605 scaffolds built from 3,551 contigs. The total assembly genome size is 15.7 Mb (the N50 of the scaffolds = 57.4 Kb and the maximum scaffold size = 571.1 Kb) (Additional file 2). A total of 4,458 protein coding sequences were identified (Table 1). The assembled genomic size (~15.7 Mb) is close to previous estimation by pulse-field gel electrophoresis (~15.3 Mb) [13], indicating that the coverage of the assembled genome is nearly complete. To sequence the genome of N. antheraeae, a total of 657 Mb of Illumina reads were obtained after filtering ambiguous reads. Our analysis results in 6,215 scaffolds and a total of 6.6 Mb of unique sequence. Totally, 3,413 protein coding sequences were identified (Table 1). The assembled genome size of N. antheraeae was estimated using the following equation: genome size = number of 15-mers per kilo-bases/depth of 15-mers per kilo-bases. The assembled genome size of N. antheraeae (~7.4 Mb) (Additional file 3) is close to our previous estimation by pulse-field gel electrophoresis [14], indicating that approximately 90% of the N.antheraeae genome was captured. A comparison of genome features among the generated Nosema genomes and published microsporidian genomes (one Nosema species and two Encephalitozoon species) is listed in Table 1.

Table 1 A comparison of genome features among three Nosema species ( N. bombycis , N. antheraeae, and N. ceranae ) and two Encephalitozoon species ( E. cuniculi and E. bieneusi )
Full size table

To gain some insights into the variations of gene content among N. antheraeae, N. bombycis, and N. ceranae, the number of orthologous genes were compared. Most genes are shared among all three species, but 8% of genes were N. antheraeae-specific, 15.7% were N. bombycis-specific, and 30.5% were N. ceranae-specific (Figure 1). Gene ontology analysis revealed that no distinct differences were found among different gene functional categories (Additional file 4). Collectively, these three Nosema species lack genes for tricarboxylic acid cycle, oxidative phosphorylation, and fatty acid β-oxidation, consistent with previous observations [15–19]. Our observations further support that microsporidia do not possess tricarboxylic acid cycle and oxidative metabolism, and microsporidia parasites have often experienced on-going genome streamlining via the relaxation of purifying selection.

Figure 1
figure1

Venn diagram showing the number of homologous genes and lineage-specific genes amongst three Nosema species, N. bombycis , N. antheraeae , and N. ceranae . The arabic numbers followed by characters represent the number of homologous genes in each Nosema species (‘a’ denotes N. antheraeae, ‘b’ denotes N. bombycis , and ‘c’ denotes N. ceranae). For instance, 2455b:1746a:1459c means that 2455 genes of N. bombycis, 1746 genes of N. antheraeae, and 1459 genes of N. ceranae are homologous to each other.

Full size image

To determine if the Nosema proteins were more compact than other microsporidian parasites, the length of those silkworm Nosema proteins with assigned functions was compared to homologs of two published microsporidian parasitic Encephalitozoon species, E. cuniculi and E.intestinalis (Additional file 5). Our results show that the average length of total homologous genes from N. antheraeae and N. bombycis is shorter than that from E. cuniculi and E. intestinalis, indicating that proteins in Nosema were more compact than those in Encephalitozoon.

Overall, our comparative genomics analysis showed that N. bombycis possesses a much larger genome size than other two Nosema species (Table 1). Considering that N. bombycis has wide host range, the genome expansion might facilitate the host adaption in N. bombycis. Thus, for the subsequent analyses, we aim to seek for the underlying genetic mechanisms as to why and how N. bombycis genome expands. Furthermore, we seek for the putative genetic components that contribute to the infectious ability of N. bombycis in a hope that our analyses could provide some clues on the development of treatment strategies of pébrine.

Proliferation of host-derived transposable elements in N. bombycis

After obtaining the genomes of the two Nosema species, we seek for the potential molecular mechanisms underlying the genome expansion of N. bombycis. Considering that the proliferation of transposable elements often contributes to the genome size variation in many eukaryotes [20], it was considered as the first molecular mechanisms for us to check. Although the genomes of several human pathogenic microsporidians have been shown to lack transposable elements, transposable elements have been detected in the genomes of other non-human pathogenic microsporidians [21–25]. To understand what degree those transposable element shape the genomic architectures in Nosema, we searched for transposons in N. bombycis and N. antheraeae (for details, see Materials and Methods). Two different approaches were implemented in this study. Because most transposable elements comprise internal protein-coding genes (e.g., transposase or reverse transcriptase) that are necessary for their transposition, we first identified those putative transposable elements by searching for their internal protein-coding sequences. In many cases, the internal protein-coding sequences are highly generated but recognizable. Second, for those that do not possess readily identifiable internal protein-coding sequences, other features such as inverted repeats or insertion sites were used to recognize the transposable elements.

Overall, our results show evidence that a larger genome size of N. bombycis is partly due to both the acquisition of new transposons and expansion of existing transposable elements (Table 2). Among all identified transposable elements, the Ty3/gypsy retrotransposons [22] constitute the largest part of known classes of transposable elements in N. bombycis. A broad sampling from GenBank shows that these transposable elements also reside in other microsporidian groups including Spraguea lophii, Edhazardia aedis, and Brachiola algerae, indicating that this transposable element family exists back to the common ancestor of most microsporidian species and further expand in N. bombycis. Majority of transposable elements among Nosema genomes are common across three Nosema species, whereas Piggybac transposons were only found in N. antheraeae and N. bombycis except for N. ceranae (Additional file 6). To test whether Piggybac was lost during the evolution of N. ceranae or was gained in the most recent common ancestor of N. antheraeae and N. bombycis, the phylogeny of Piggybac was reconstructed from Nosema, domesticated silkworms, and other insects. Our analyses show that the Nosema Piggybac sequences fall into four well-supported groups, and three out of them are closely related to Piggybac elements from domesticated silkworms (Figure 2). Although the exact relationships of these Piggybac elements between Nosema and Bombyx is complicated, our phylogenetic analysis suggests that Piggybac was acquired in the most common ancestor of N. antheraeae and N. bombycis through horizontal transfer events from possibly host silkworms. These transfers likely independently took place three times, leading to the three major subgroups (labeled as HGT in Figure 2). In addition, the Nosema pBac3,4,5 are closely related to the elements from other insects (in the middle part of tree; Figure 2), suggesting that these Nosema Piggybac elements might originate from the insects. To rule out the possibility of the host contaminations during the genome assembly, we amplified regions flanking Piggybac elements using Nosema-specific primers, and confirmed the existence of Piggybac in Nosema genomes (data not shown).

Figure 2
figure2

A maximum-likelihood phylogenetic tree of host-derived Piggybac transposase sequences. Arrows show the putative recent horizontal gene transfer (HGT) events of host-derived transposable elements. Several transposons are closely related to those from insects. Black boxes indicate elements from the two silkworm-infecting Nosema species, while white boxes indicate elements from the domesticated silkworm B. mori. Numbers in parentheses indicate the total copy numbers for each transposable element.

Full size image
Table 2 Classification of repetitive families in N. bombycis genome
Full size table

Since the host-derived Piggybac elements are so abundant in N. bombycis, can those host-derived Piggybac elements serve as the vector of capturing host-derived genes? To answer this question, we checked the host-derived Piggybac elements that do not have any readily identifiable internal protein-coding sequences. Because they are usually hard to be identified due to the lack of the internal readily recognizable protein-coding genes, the terminal inverted repeat (ITR) and the insertion site (TTAA) of the Piggybac elements were used as the criteria for our search. In other words, we searched for the N. bombycis genomic regions that are flanked by the ITR and the insertion site (TTAA) of the Piggybac elements and comprise “extrinsic” sequences. After identification of those Piggybac elements, we examine whether the “extrinsic” sequences were recently transferred by the transposition of the Piggybac elements that are specific to N. bombycis via comparing the colinearity of these regions with those in N. antheraeae and N. ceranae. A total of 17 Piggybac elements with an internal “extrinsic” sequence were identified (Additional file 7). Among them, only one case might be recently gained in N. bombycis based on the colinearity (Additional file 8 and Additional file 9). When we blasted the internal “extrinsic” sequence of the 17 Piggybac elements in GenBank using the “nr” database by the blastn function, no detectable similarity with any known sequences was found. Our analysis thus far suggests that the host-derived Piggybac elements might not be able to serve as the vector of capturing genes from hosts to N. bombycis.

Horizontally transferred protein-coding genes is another source of genetic expansion in N. bombycis

Since N. bombycis has experienced the proliferation of native and host-derived transposons, we sought to determine if horizotally transferred protein coding genes from other organisms can also facilitate the genome expansion in N. bombycis, as was recently found in Encephalitozoon[26, 27]. To maximize the likelihood of detecting horizontal protein coding gene transfer (HGT) events in N. bombycis, we implemented two different approaches: a genome-wide prediction method based on orthologous sequences using the software Darkhorse, and a phylogenetic method where we screened the putative HGTs in a total of 4458 gene family phylogenies. Overall, these two different approaches identify 50 and 53 different HGTs in N. bombycis, respectively. Among them, 48 genes are shared between these two approaches (Figure 3A), resulting in a set of 55 union HGT genes between two different dataset. By investigating the taxonomic origin of these 55 unions HGT genes in a phylogenetic framework, all of them were transferred from prokaryotes (Figure 3B). No host-derived genes were found in our analysis, further suggesting that only host-derived transposable elements can be transferred into the N. bombycis genome instead of host-derived protein-coding genes. Using the clusters of orthologous group database, we found that 21 HGT candidates are unknown in functions, and 34 are predicted to fall into diverse gene functions (Additional file 10). Among 34 HGT genes, five genes are involved in nucleotide metabolism and two genes are involved in sugar metabolism. Interestingly, one HGT gene that was annotated as phosphomevalonate kinase (EC2.7.4.2) is shown to be an important player in the mevalonate pathway of N.bombycis (Additional file 11). In the mevalonate pathway, phosphomevalonate kinase is a key enzyme to catalyze the rate-limiting step for the production of isopentenyl pyrophosphate (IPP). IPP is important for various molecular functions such as terpenoid synthesis, protein prenylation, cell membrane maintenance, protein anchoring, and N-glycosylation. Overall, our observations lead us to hypothesize that some of HGTs might play a pivotal role on the adaptation or survivorship of N. bombycis over the course of evolution. Alternatively, many HGTs might be merely neutral without any immediate adaptive consequences after their transfers. Further hypothesis testing will be necessary.

Figure 3
figure3

Horizontal gene transfers of protein-coding genes in N. bombycis . (A) Venn diagram showing the numbers of HGT genes between two different dataset that were identified using two different methods, the Darkhorse method and the phylogenetic method. The total number of the union of HGT genes between two dataset is 55. (B) The diagram showing the origination of those 55 HGT genes. All of them originated from prokaryotes.

Full size image

Recent gene duplication events contribute to the genome expansion in N. bombycis

Although our previous analyses showed that the proliferation of host-derived transposable elements and horizontally transferred genes could contribute to the genome size expansion in N. bombycis, their contributions are not sufficient to explain the much larger genome size of N. bombycis than other two small-genome Nosema species (N. antheraeae and N. ceranae). Considering that gene duplication is a common molecular mechanism mediating the expansion of genome size in many eukaryotes [28], we then seek for the evidence if gene duplications also play a role on the genome expansion in N. bombycis. We first performed a syntenic analysis to identify possible segmental duplication events in each Nosema species. Among three species, we found that N. bombycis contained 942 pairs of segmental duplications throughout its genome (Figure 4A, Additional file 12). In contrast, almost no segmental duplication could be detected in either N. antheraeae or N. ceranae. Because the assemblies of all these genomes are fragmented, it is not possible to conclude whether these segmental duplications are large in number and spread throughout the genome, or arise due to multiple whole chromosome duplication events or an ancient whole genome duplication event. Nevertheless, we have identified a region where it appears that a single large-scale duplication event explain the data better than several independent large-scale duplication events (Figure 5). To date these duplication events, we estimated synonymous substitution rate (dS) for paralogous genes from segmental duplications in N. bombycis, and compared them with the dS derived from orthologs between N. antheraeae and N. bombycis. The dS values are commonly used as the proxy of age of gene duplication because the synonymous substitutions evolve in a neutral fashion [28]. On average, the dS values of paralogs from segmental duplications in N. bombycis are generally lower than that of orthologs between N. antheraeae and N. bombycis (Figure 4B), suggesting that these duplication events took place after the separation of N. antheraeae and N. bombycis. In addition to the detection of segmental duplications, we identified numerous tandem duplication events among three Nosema species. We detected a higher rate of tandem duplications in N. bombycis compared to other two Nosema species, and in some cases multiple events could be mapped at a single locus (Figure 4C). On average, the dS values of these paralogs are also much lower than that of orthologus genes between N. bombycis and N. antheraeae (Figure 4D), indicating that most tandem paralogs in N. bombycis also arose relatively recent after the separation between N. bombycis and N. antheraeae. In short, the N. bombycis genome has expanded in size largely due to many large-scale and small-scale gene duplication events.

Figure 4
figure4

Gene duplications and the dS distribution of paralogs and orthologs among three Nosema species. Abbreviation: Na, N. antheraeae; Nb, N. bombycis; Nc, N. ceranae. (A) A circos map showing the comparative genomics among three different Nosema species based on all available scaffolds. Each line represents the homologous syntenic regions between any two species or between any given two chromosome positions of single species. Many lines across different scaffolds of N. bombysis indicates higher rate of segmental syntenic duplications. (B) The dS distribution of segmental paralogs of Nb and the orthologs between Nb and Na showing a higher dS values in orthologs in general. Notably, a higher peak (arrow) seen in Nb suggests the possibility of a burst of paralogs recently over the Nb evolution after the separation of Na and Nb. (C) An example of syntenic comparisons among three Nosema species showing a cluster of tandem paralogs. The corresponding genetic position and names of identified element are provided in Additional file 8. The number of all identified tandem paralogs for each Nosema genome is summarized on the right side. (D) The dS distribution of tandem paralogs of Nb and orthologs between Na and Nb showing that majorities of tandem paralogs arose after the separation of Na and Nb because the dS values of those tandem paralogs are smaller than that of orthologs.

Full size image
Figure 5
figure5

An example from the syntenic analysis showing that N. bombycis often consist of two homologous regions, instead of one such as N. antheraeae . When summarized the number of syntenic regions in both N. antheraeae and N. bombycis, the number of paralogous syntenic region of N. bombycis is often twice more than that of orthologous syntenic region between N. antheraeae and N. bombycis, indicating that large segmental duplication events have occurred over the evolution of N. bombycis.

Full size image

Adaptive evolution of duplicated genes might enhance the pathogenic ability in N. bombycis

Paralogs often provide raw materials for evolutionary innovations, including the survival of parasites in their hosts [29]. We therefore sought to identify possible instances of adaptive changes associated with the pathogenic ability of N. bombycis among those duplicated genes derived from large-scale duplication events in N. bombycis. First, we examine if paralogs of N. bombycis contribute to the adaptive evolution more often than orthologs among all Nosema species. Clusters of homologous genes in N. bombycis were classified to four different groups: 1) clusters of orthologus genes (COGs) of 1:1:1 trios of N. bombycis, N. antheraeae, and N. ceranae, 2) COGs of 1:1 gene pairs of N. bombycis and N. antheraeae, 3) COGs of 1:1 gene pairs of N. bombycis and N. ceranae, and 4) clusters of paralogous genes (CPGs) in N. bombycis. Pairwise dN/dS ratio analyses for these four different clusters of homologous genes were computed and their cumulative dN/dS ratio curve were compared (see Materials and Methods for details). Compared to COGs, a higher proportion of CPGs in N. bombycis showed higher value of dN/dS ratio, suggesting that CPGs are evolving at a faster rate than COGs at the amino acid level (Additional file 13). In most cases, this is likely due to the relaxation of purifying selection. However, we observed that a higher proportion of CPGs showed dN/dS ration greater than 1, indicative of positive selection. Overall, our observations support the view that CPGs contributed more to adaptive evolution than COGs in N. bombycis.

To examine if any particular codons of CPGs of N. bombycis have undergone positive selection, we applied a site model approach with maximum likelihood using the software PAML (see Materials and Methods for details). The results show that 24 out of 240 CPGs have experienced positive selection in N. bombycis (Table 3), and 62% (37/60) genes in 24 CPGs have the support of EST tags (Additional file 14). The estimated parameters and positively selected sites for those positively selected CPGs are shown in Additional file 15. Although the majority of positively selected CPGs are hypothetical proteins with unknown functions, a handful of them are not. For example, CPG844 is related to LPXTG motif cell wall anchor domain protein and CPG1776 is related to surface adhesion protein. Positive selection acting on these two CPGs might play an important role in host recognition and interaction since they are involved in surface adhesion. Other examples are two positively selected CPGs that are related to serine protease inhibitor (SPN106). The functions of serine protease inhibitor have been shown to decrease the immune responses in hosts [30–32]. In the melanization pathway of B. mori, serine protease cascade is one of the most important biochemical reactions to inhibit the propagation of pathogens [33]. We scanned the gene expression pattern of B. mori post infection of N. bombycis by microarray analysis and found that the key gene PPO in melanization pathway was significantly suppressed. From our gene chip expression analysis (unpublished data), we found that the gene expression of two upstream regulators of host PPO melanization pathway, β-GRP2 and β-GRP4, in B. mori are up-regulated during the infection of N. bombycis (Figure 6). The upregulation of β-GRP2 and β-GRP4 subsequently suppress the production of PPO against the infection of N. bombycis. To seek for the treatment method of pébrine, the interplay between SPN106 and β-GRP should be treated as our priority in the future studies. These observations lead us to hypothesize that adaptive evolution of serine protease inhibitor in N. bombycis might deter the melanization pathway by blocking the serine protease cascade in domesticated silkworms (Figure 6).

Figure 6
figure6

A hypothetical model showing how the SPN protein of N. bombycis suppresses the serine protease cascade of the melanization pathway of the host B. mori . After the suppression of the serine protease cascade, the defensive response, the subsequent formation of melanization will be inhibited in the hosts. Abbreviation: PPO, prophenoloxidase; β-GRP, β-glucan recognition protein.

Full size image
Table 3 Site test of adaptive evolution for N. bombycis paralogous genes
Full size table

Discussion and conclusion

Preventing the infection of Nosema bombycis is one of the prime concerns in the domesticated silkworm industry. However, attempts to manage these pathogens have been hindered by our poor knowledge of the underlying molecular mechanisms contributing to the highly infectious ability of N. bombycis. In the absences of transformation, genetics, and axenic cultivation, the comparative genomics approach is one of the few tools available to tackle these issues. In this study, we compared the genome of the major commercial silkworm pathogen, N. bombycis, to those of N. antheraeae and N. ceranae. Our study showed that the large genome size in silkworm Nosema genome is due to the proliferation of host-derived transposable elements, horizontally transferred genes from prokaryotes, and the production of segmental and tandem duplicates. Previous studies on the characterization of microsporidian genomic architectures have focused more on the genome reduction aspect [15–19, 34–36]. Although few studies assumed the possibility of genome expansion in the microsporidia [23, 37], the direct evidence is lacking. From the genome streamlining perspective, it is evident that many metabolic essential genes (e.g., the tricarboxylic acid cycle, fatty acid β-oxidation, respiratory electron-transport chain always) are missing in the microsporidian genome. In stark contrast, our study provides the first solid evidence showing that the microsporidian genome can expand. Gene duplications and proliferation of host-derived transposable elements are the two predominant molecular mechanisms contributing to the genome expansion in N. bombycis.

Recently, two studies have reported that some genes in the microsporidia Encephalitozoon romaleae were derived from an ancestral host [38, 39], but we did not find any evidence of host-derived genes in N. bombycis. Instead, some genes in the N. bombycis genome were apparently derived from prokaryotes or viruses by horizontal gene transfer, similar to other microsporidian genomes [26, 27]. Surprisingly, these prokaryote-transferred genes could complement some important metabolic pathways in Nosema, indicative of its essentiality over the course of Nosema evolution. The mobility of transposable elements has been shown to be associated with the frequency of horizontal gene transfer [40, 41]. Although the N. bombycis genome is composed of ~38% repetivitive elements, only 55 genes were found to be horizontally transferred. Such observation indicated that a great number of transposons will not lead to higher rate of HGTs in N. bombycis. One explanation is that most transposons of N. bombycis have lost their activities such that the rate of HGTs is not enhanced. Alternatively, those repetitive elements do not possess the ability of capturing genes to facilitate the rate of HGTs.

The other major source of novel genetic materials in N. bombycis is the numerous paralogs by large-scale and small-scale duplication events. Some of them show evidence of accelerated changes through the relaxation of purifying selection, whereas others show evidence of positive selection. In either case, these paralogs seem to have provided raw materials for functional innovations as we showed in this study. Among them, the serine protease inhibitor family stands out as potential targets to study the higher infectious rates in N. bombycis.

Methods

Extraction of DNA, library construction, genome assembly, and annotation

About 1 × 109 spores of N. bombycis CQ1, were isolated from infected silkworms in Chongqing. Using lysis buffer containing SDS and proteinase K, the N. bombycis genomic DNA was extracted from the germinated spores for each library construction. N. antheraeae YY isolate were collected from a farm in Henan of China and preserved in our lab, and then DNA was extracted with cetyl trimethylammonium bromide (CTAB) method. Detailed methods for extracting genomic DNAs can see the online supplementary materials (Additional file 16). After the library construction of plasmid and miniBAC, all sequence reads were obtained by Sanger and Illumina sequencing. To assemble the N. bombycis genome, the illumina reads were assembled by BGI’s de novo assembly software [42], which assembled unique and frequency repeat areas of genome. Next, we assembled further from the mixed data of illumina scaffolds and Sanger reads by using Phrap program.

To ensure the quality of gene annotation, we enriched the ESTs data by constructing two cDNA phage libraries and two Illumina cDNA libraries. 11,155 high quality reads were obtained by Sanger sequencing and 307,900 reads were obtained by illumina sequencing. Finally, 1517 unique ESTs were obtained with average length of 430 bp. Next, N. bombycis protein-coding genes were annotated using the following three different software: (1) Glimmer (version 3.0) with low eukaryote parameters [43], (2) GeneMarkS (version 4.6) with low eukaryote parameters [44], and (3) Augustus (version 2.0) with default parameters [45]. The details of library construction of plasmid, miniBAC, DNA and cDNA, as well as the protocol of genome assembly and annotations, for N. bombycis and N. antheraeae are provided as online supplementary materials. All annotated sequences of N. bombycis and N. antheraeae are deposited in Genbank as the following accession numbers: ACJZ01000001-ACJZ01003558.

Identification horizontal gene transfer (HGT)

To examine the frequency of host-derived transposable elements, a phylogenetic analysis was conducted using the software RAxML [46] with the maximum likelihood (ML) algorithm. The amino acid replacement matrix, the WAG matrix, with gamma distribution was used to reconstruct the phylogenetic tree. Statistical support for nodes was estimated by using the bootstrapping method with 100 ML replicates. All other HGT genes of the N.bombycis genome were identified by using both the phylogenetic method and the Darkhorse methods [47]. For the phylogenetic method, all initial 4,458 N. bombycis genes were clustered to 3609 singletons at the level of ≥ 75% identity over ≥ 90% coverage for cluster members using BLASTCLUST program. A single randomly chosen representative of each cluster was used as a seed for BLASTP searches on nr database, the Bombyx mori genome database (http://silkworm.genomics.org.cn/). Sequences with E-value < 1e-5 and > 70% of the protein length) were aligned using clustal W. Bootstrap (100 replicates) consensus WAG model was made using RAxML to reconstruct Neighbor joining (NJ) trees. For the Darkhorse method, a filter threshold of 20% and two different self-definition keywords (N. bombycis and all species name of Microsporidia phylum) were used to eliminate the BLASTP matches by calculating the lineage probability index (LPI) of genes in the N. bombycis genome. Then, the potential horizontally transferred genes were retrieved.

Identification of segmental and tandem duplications

To identify the segmental duplication, we performed all-against-all blast search with a single species to identify collinear regions within single genome as segmental duplicated blocks. A collinear region was defined as one where there are at least three homologous pairs with E value < 1E-6 and the distance between genes less than 5 kb. Segmental blocks were visualized using the software Circos-0.55 [48]. To plot duplicated blocks among N. bombycis, N. antheraeae, and N. ceranae genomes, we ordered the scaffolds as follows: 1) only the scaffolds that shared syntenic genes among these three species were included; 2) the scaffolds of N. bombycis were ranked from longest to shortest; 3) scaffolds of the other two species were arranged based on synteny to N. bombycis; 4) if N. antheraeae or N. ceranae scaffolds were syntenic to more than two scaffolds of N. bombycis, we define that scaffold order based on the longest scaffold of N. bombycis.

For the identification of tandem duplicates, we first classified gene family using the software MCL with E value < 1E-10, and then defined tandem duplicates as follows: 1) belonging to the same gene family, 2) being located within 5 kb each other, and 3) being separated by ≤ 3 non-homologous genes.

To time the age of paralogs, we first identified collinear regions between N. bombycis and N. antheraeae. Then, genes that lie in the collinear region were classified as orthologs between N. bombycis and N. antheraeae. Synonymous substitution rate (dS) of paralogs was estimated using the software Codeml in the package PAML 4 [49].

Estimation of gene-wide selection and codon-based selection

The gene-wide selection and codon-based selection of genes in N. bombycis were analyzed following the procedure described in [29]. Briefly, clusters of homologous genes in N. bombycis, N. antheraeae, and N. ceranae identified by MCL (<1E-10) were grouped into four different categories: 1) clusters of orthologous genes (COGs) of 1:1:1 orthologous trios without any subsequent gene duplication in any species, 2) COGs of 1:1 N. bombycis and N. antheraeae gene pairs, 3) COGs of 1:1 N. bombycis and N. ceranae gene pairs, and 4) clusters of paralogous genes (CPGs) in N. bombycis. Prior to the estimation of dN/dS, those clusters with identity < 50% and an area covering <50% of the length of each sequence were filtered. Multiple alignments using MUSCLE [50] were then parsed to remove those poorly aligned regions using the Gblocks algorithm [51] with the following criteria: maximum number of contiguous non-conserved positions = 10 and minimum length of a block = 5. The amino acid alignment was back-translated into nucleotides sequence alignment. The gene-wide selection was then determined by calculating the median dN/dS value for each cluster. For the detection of codon-based positive selection, codon-based selection analysis was implemented using the Codeml program in the PAML package [49]. The site-specific model was used to detect positive selection in CPGs of N. bombycis. Two likelihood ratio tests were implemented: M1-M2 and M7-M8. M1 and M7 are the null models without positive selection, while M2 and M8 are the alternative models with positive selection. For each test, the first model (i.e., M1 or M7) is simpler than the second model (i.e., M2 or M8). To test if the second model fits better than the first model, twice difference of logarithm maximum likelihood estimates between the two compared models was compared against chi-square distribution with two degrees of freedom. Only those that showed posterior probability > 0.95 in the empirical Bayes method were considered as positively selected sites [52, 53].

RNA labeling and hybridization

RNA labeling and microarray hybridization was conducted by CapitalBio Corp (Beijing, China). Gene expression analysis was done based on the Affymetrix Silkworm Gene Chip kit in accordance following the manufacturer’s instruction (http://www.capitalbio.com). Briefly, after 5 × 104 spores were fed to 3-instar larvae, total RNA was isolated from those 3-instar larvae at day 2, 4, 6, and 8. Then the extracted total RNA was reverse transcribed into cDNA. A dual-dye experiment was conducted. The uninfected cDNAs were labeled with dye Cy3 and infected cDNAs were labeled with dye Cy5. The labeled cDNA probes were dissolved in hybridization solution overnight at 42°C and then hybridized to the 23 k silkworm genome oligonucleotide chip (Capital Bio) that consists of 22,987 oligonucleotide 70-mer probes [54]. The signals were scanned with LuxScan 10KA scanner (CapitalBio corp).Three biological repeats were conducted at each time point.

References

  1. 1.

    Desportes I, Le Charpentier Y, Galian A, Bernard F, Cochand-Priollet B, Lavergne A, Ravisse P, Modigliani R: Occurrence of a new microsporidian: Enterocytozoon bieneusi n.g., n.sp., in the enterocytes of a human patient with AIDS. Journal of Protozool. 1985, 32: 250-254.

    Article  CAS  Google Scholar 

  2. 2.

    Snowden KF: Zoonotic microsporidia from animals and arthropods with a discussion of human infection. Opporunistic infections: toxolasma, sarcocystis, and microsporida. Edited by: Lindsay DS, Weiss LM. 2004, Boston, MA: World Class Parasites, 123-134.

    Google Scholar 

  3. 3.

    Wittner M: Historic perspective on the microsporidia: expanding horizons. The microsporidia and microsporidiosis. Edited by: Wittner M, Weiss LM. 1999, Washington, DC: ASM Press, 1-6.

    Google Scholar 

  4. 4.

    Nageli K: Uber die neue krankheit der seidenraupe und verwandte organismen. Bot Z. 1857, 15: 760-761.

    Google Scholar 

  5. 5.

    Pasteur L: Études sur la maladie des vers a soie: moyen pratique assurÉ de la combattre et d’en prÉvenir le retour. 1870, Paris: Imprimeur-Libraire

    Google Scholar 

  6. 6.

    Kashkarova L, Khakhanov A: Range of the hosts of the causative agent of pébrine (Nosema bombycis) in the mulberry silkworm. Parazitologiia. 1980, 14: 164-

    CAS  PubMed  Google Scholar 

  7. 7.

    Kudo R, DeCoursey J: Experimental infection of hyphantria cunea with nosema bombycis. J Parasitol. 1940, 26: 123-125. 10.2307/3272378.

    Article  Google Scholar 

  8. 8.

    Hayasaka S, Yonemura N: Infection and development of Nosema sp. NIS H5 (Microsporida: Protozoa) in several lepidopteran insects. JARQ. 1999, 33: 65-68.

    Google Scholar 

  9. 9.

    Xu JS, Zhou ZY: Improving phylogenetic inference of microsporidian Nosema antheraeae among Nosema species with RPB1, α-and β-tubulin sequences. Afr J Biotechnol. 2010, 9: 7900-7904.

    CAS  Google Scholar 

  10. 10.

    Cornman RS, Chen YP, Schatz MC, Street C, Zhao Y, Desany B, Egholm M, Hutchison S, Pettis JS, Lipkin WI, Evans JD: Genomic analyses of the microsporidian Nosema ceranae, an emergent pathogen of honey bees. PLoS Pathog. 2009, 5: e1000466-10.1371/journal.ppat.1000466.

    PubMed Central  Article  PubMed  Google Scholar 

  11. 11.

    Keeling PJ, Fast NM: Microsporidia: biology and evolution of highly reduced intracellular parasites. Annu Rev Microbiol. 2002, 56: 93-116. 10.1146/annurev.micro.56.012302.160854.

    Article  CAS  PubMed  Google Scholar 

  12. 12.

    Corradi N, Slamovits CH: The intriguing nature of microsporidian genomes. Brief Funct Genomics. 2011, 10: 115-24. 10.1093/bfgp/elq032.

    Article  CAS  PubMed  Google Scholar 

  13. 13.

    Kawakami Y, Inoue T, Ito K, Kitamizu K, Hanawa C, Ando T, Iwano H, Ishihara R: Identification of a chromosome harboring the small subunit ribosomal RNA gene of Nosema bombycis. J Invertebr Pathol. 1994, 64: 147-10.1006/jipa.1994.1085.

    Article  CAS  PubMed  Google Scholar 

  14. 14.

    Xu J, Wang L, Tang F, Huang W, Zhou Z: The nuclear apparatus and chromosomal DNA of the microsporidian nosema antheraeae. J Eukaryot Microbiol. 2011, 58: 178-180. 10.1111/j.1550-7408.2011.00530.x.

    Article  CAS  PubMed  Google Scholar 

  15. 15.

    Katinka MD, Duprat S, Cornillot E, Méténier G, Thomarat F, Prensier G, Barbe V, Peyretaillade E, Brottier P, Wincker P, Delbac F, El Alaoui H, Peyret P, Saurin W, Gouy M, Weissenbach J, Vivarès CP: Genome sequence and gene compaction of the eukaryote parasite Encephalitozoon cuniculi. Nature. 2001, 414: 450-453. 10.1038/35106579.

    Article  CAS  PubMed  Google Scholar 

  16. 16.

    Slamovits CH, Fast NM, Law JS, Keeling PJ: Genome compaction and stability in microsporidian intracellular parasites. Curr Biol. 2004, 14: 891-896. 10.1016/j.cub.2004.04.041.

    Article  CAS  Google Scholar 

  17. 17.

    Akiyoshi DE, Morrison HG, Lei S, Feng X, Zhang Q, Corradi N, Mayanja H, Tumwine JK, Keeling PJ, Weiss LM, Tzipori S: Genomic survey of the non-cultivatable opportunistic human pathogen. Enterocytozoon bieneusi. PLoS pathogens. 2009, 5: e1000261-10.1371/journal.ppat.1000261.

    Article  PubMed  Google Scholar 

  18. 18.

    Corradi N, Pombert JF, Farinelli L, Didier ES, Keeling PJ: The complete sequence of the smallest known nuclear genome from the microsporidian Encephalitozoon intestinalis. Nat Commun. 2010, 1: 77-

    PubMed Central  Article  PubMed  Google Scholar 

  19. 19.

    Keeling PJ, Corradi N, Morrison HG, Haag KL, Ebert D, Weiss LM, Akiyoshi DE, Tzipori S: The reduced genome of the parasitic microsporidian enterocytozoon bieneusi lacks genes for core carbon metabolism. Genome Biol Evol. 2010, 2: 304-10.1093/gbe/evq022.

    PubMed Central  Article  PubMed  Google Scholar 

  20. 20.

    Feschotte C, Jiang N, Wessler SR: Plant transposable elements where genetics meets genomics. Nat Rev Genet. 2002, 3: 329-41.

    Article  CAS  PubMed  Google Scholar 

  21. 21.

    Hinkle G, Morrison H, Sogin M: Genes coding for reverse transcriptase, DNA-directed RNA polymerase, and chitin synthase from the microsporidian Spraguea lophii. Biol Bull. 1997, 193: 250-

    CAS  PubMed  Google Scholar 

  22. 22.

    Xu J, Pan G, Fang L, Li J, Tian X, Li T, Zhou Z, Xiang Z: The varying microsporidian genome: existence of long-terminal repeat retrotransposon in domesticated silkworm parasite Nosema bombycis. Int J Parasitol. 2006, 36: 1049-1056. 10.1016/j.ijpara.2006.04.010.

    Article  CAS  PubMed  Google Scholar 

  23. 23.

    Williams BA, Lee RC, Becnel JJ, Weiss LM, Fast NM, Keeling PJ: Genome sequence surveys of Brachiola algerae and Edhazardia aedis reveal microsporidia with low gene densities. BMC Genomics. 2008, 9: 200-10.1186/1471-2164-9-200.

    PubMed Central  Article  PubMed  Google Scholar 

  24. 24.

    Jinshan X, Jie L, Bettina D-V, Xiaoyan Z, Hangdeng L, Zeyang Z: Characterization of a transcriptionally active Tc1-like transposon in the microsporidian Nosema bombycis. Acta Parasitologica. 2010, 55: 8-15. 10.2478/s11686-010-0010-x.

    Google Scholar 

  25. 25.

    Xu J, Wang M, Zhang X, Tang F, Pan G, Zhou Z: Identification of NbME MITE families: potential molecular markers in the microsporidia nosema bombycis. J Invertebr Pathol. 2010, 103: 48-52. 10.1016/j.jip.2009.10.011.

    Article  CAS  PubMed  Google Scholar 

  26. 26.

    Fast NM, Law JS, Williams BAP, Keeling PJ: Bacterial catalase in the microsporidian Nosema locustae: implications for microsporidian metabolism and genome evolution. Eukaryot Cell. 2003, 2: 1069-1075. 10.1128/EC.2.5.1069-1075.2003.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  27. 27.

    Richards TA, Hirt RP, Williams B, Embley TM: Horizontal gene transfer and the evolution of parasitic protozoa. Protist. 2003, 154: 17-10.1078/143446103764928468.

    Article  PubMed  Google Scholar 

  28. 28.

    Lynch M: The origins of genome architecture. 2007, Sinauer Press

    Google Scholar 

  29. 29.

    Emes RD, Yang Z: Duplicated paralogous genes subject to positive selection in the genome of Trypanosoma brucei. PLoS One. 2008, 3: e2295-10.1371/journal.pone.0002295.

    PubMed Central  Article  PubMed  Google Scholar 

  30. 30.

    Turner PC, Moyer RW: Poxvirus immune modulators: functional insights from animal models. Virus Res. 2002, 88: 35-53. 10.1016/S0168-1702(02)00119-3.

    Article  CAS  PubMed  Google Scholar 

  31. 31.

    Richardson J, Viswanathan K, Lucas A: Serpins, the vasculature, and viral therapeutics. Front Biosci. 2006, 11: 1042-1056. 10.2741/1862.

    Article  CAS  PubMed  Google Scholar 

  32. 32.

    Tao M, Pan G, Hu H, Zhou Z: :Identification of a new serpin gene (NbSPN106) from Nosema bombycis. Wei sheng wu xue bao = Acta Microbiol Sin. 2009, 49: 726-

    CAS  Google Scholar 

  33. 33.

    Tanaka H, Yamakawa M: Regulation of the innate immune responses in the silkworm, Bombyx mori. ISJ. 2011, 8: 59-69.

    Google Scholar 

  34. 34.

    Corradi N, Akiyoshi DE, Morrison HG, Feng X, Weiss LM, Tzipori S, Keeling PJ: Patterns of genome evolution among the microsporidian parasites encephalitozoon cuniculi. Antonospora locustae and Enterocytozoon bieneusi. PLoS One. 2007, 2: e1277-

    Article  PubMed  Google Scholar 

  35. 35.

    Tsaousis AD, Kunji ER, Goldberg AV, Lucocq JM, Hirt RP, Embley TM: A novel route for ATP acquisition by the remnant mitochondria of Encephalitozoon cuniculi. Nature. 2008, 453: 553-556. 10.1038/nature06903.

    Article  CAS  PubMed  Google Scholar 

  36. 36.

    Gill E: Fast NS:tripped-down DNA repair in a highly reduced parasite. BMC Mol Biol. 2007, 8: 24-10.1186/1471-2199-8-24.

    PubMed Central  Article  PubMed  Google Scholar 

  37. 37.

    Corradi N, Haag KL, Pombert JF, Ebert D, Keeling PJ: Draft genome sequence of the Daphnia pathogen Octosporea bayeri: insights into the gene content of a large microsporidian genome and a model for host-parasite interactions. Genome Biol. 2009, 10: R106-10.1186/gb-2009-10-10-r106.

    PubMed Central  Article  PubMed  Google Scholar 

  38. 38.

    Selman M, Pombert JF, Solter L, Farinelli L, Weiss LM, Keeling P, Corradi N: Acquisition of an animal gene by microsporidian intracellular parasites. Curr Biol. 2011, 21: R576-10.1016/j.cub.2011.06.017.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  39. 39.

    Pombert JF, Selman M, Burki F, Bardell FT, Farinelli L, Solter LF, Whitman DW, Weiss LM, Corradi N, Keeling PJ: Gain and loss of multiple functionally related, horizontally transferred genes in the reduced genomes of two microsporidian parasites. Proc Natl Acad Sci USA. 2012, 109: 38-43.

    Article  Google Scholar 

  40. 40.

    Keeling PJ, Palmer JD: Horizontal gene transfer in eukaryotic evolution. Nat Rev Genet. 2008, 9: 605-618. 10.1038/nrg2386.

    Article  CAS  PubMed  Google Scholar 

  41. 41.

    Archibald J, Richards T: Gene transfer: anything goes in plant mitochondria. BMC Biol. 2010, 8: 147-10.1186/1741-7007-8-147.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  42. 42.

    Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, Li Y, Li S, Shan G, Kristiansen K, Li S, Yang H, Wang J, Wang J: De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010, 20: 265-10.1101/gr.097261.109.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  43. 43.

    Delcher AL, Harmon D, Kasif S, White O, Salzberg SL: Improved microbial gene identification with GLIMMER. Nucleic Acids Res. 1999, 27: 4636-10.1093/nar/27.23.4636.

    PubMed Central  Article  CAS  Google Scholar 

  44. 44.

    Lomsadze A, Ter-Hovhannisyan V, Chernoff YO, Borodovsky M: Gene identification in novel eukaryotic genomes by self-training algorithm. Nucleic Acids Res. 2005, 33: 6494-10.1093/nar/gki937.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  45. 45.

    Stanke M, Diekhans M, Baertsch R, Haussler D: Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics. 2008, 24: 637-10.1093/bioinformatics/btn013.

    Article  CAS  PubMed  Google Scholar 

  46. 46.

    Stamatakis A: RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006, 22: 2688-10.1093/bioinformatics/btl446.

    Article  CAS  PubMed  Google Scholar 

  47. 47.

    Podell S, Gaasterland T: DarkHorse: a method for genome-wide prediction of horizontal gene transfer. Genome Biol. 2007, 8: R16-10.1186/gb-2007-8-2-r16.

    PubMed Central  Article  PubMed  Google Scholar 

  48. 48.

    Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA: Circos: an information aesthetic for comparative genomics. Genome Res. 2009, 19: 1639-10.1101/gr.092759.109.

    PubMed Central  Article  CAS  Google Scholar 

  49. 49.

    Yang Z: PAML4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007, 24: 1586-1591. 10.1093/molbev/msm088.

    Article  CAS  Google Scholar 

  50. 50.

    Edgar R: MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinforma. 2004, 5: 113-10.1186/1471-2105-5-113.

    Article  Google Scholar 

  51. 51.

    Castresana J: Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000, 17: 540-10.1093/oxfordjournals.molbev.a026334.

    Article  CAS  PubMed  Google Scholar 

  52. 52.

    Nielsen R, Yang Z: Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene. Genetics. 1998, 148: 929-

    PubMed Central  CAS  Google Scholar 

  53. 53.

    Wong WSW, Yang Z, Goldman N, Nielsen R: Accuracy and power of statistical methods for detecting adaptive evolution in protein coding sequences and for identifying positively selected sites. Genetics. 2004, 168: 1041-10.1534/genetics.104.031153.

    PubMed Central  Article  CAS  Google Scholar 

  54. 54.

    Huang L, Cheng T, Xu P, Cheng D, Fang T, Xia Q: A genome-wide survey for host response of silkworm. Bombyx mori during pathogen bacillus bombyseptieus infection. PloS one. 2009, 4: e8098-10.1371/journal.pone.0008098.

    PubMed Central  Article  PubMed  Google Scholar 

Download references

Acknowledgements

We acknowledge the support of Prof. Christian P. Vivarès (Université Blaise Pascal, France) for his team’s help on analysis of chromosomes organization of N. bombycis by PFGE. Thanks for the help of bioinformatics analysis from Chongqing NoeGen Bioinformatics Technology Co., LTD (http://www.noegen.com). This work is supported by the grants from National Basic Research Program of China (No.2012CB114604), Natural Science Foundation of China (No. 30930067, 31001037, 31001036, 31072089, 31272504, 31270138), National High-tech R&D Program (863 Program, No. 2012AA101301-3, No. 2013AA102507), Chongqing Science & Technology Commission (No. CSTC2010AA1003), the Program of Introducing Talents of Discipline to Universities (No.B07045), Key Project of Ministry of Education of China (No.210180).

The genome data and annotation information of N. bombycis and N.antheraeae were submitted to GenBank (Accession numbers ACJZ01000001 -ACJZ01003558).

These data are also freely available at our public lab website: http://microbe.swu.edu.cn/bio/genome/nosema.

Author information

Author notes

    Affiliations

    1. State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, 400715, China

      Guoqing Pan, Tian Li, Qingyou Xia, Chunfeng Li, Handeng Liu, Liu Yang, Tie Liu, Zhengli Wu, Xiaoqun Dang, Heng Xiang, Meilin Tao, Yanhong Li, Junhua Hu, Zhi Li, Lipeng Lin, Jie Luo, Lina Geng, Mengxian Long, Yongji Wan, Ningjia He, Ze Zhang, Cheng Lu, Zhonghuai Xiang & Zeyang Zhou

    2. College of Life Sciences, Chongqing Normal University, Chongqing, 400047, China

      Jinshan Xu, Xi Zhang, Zhi Li, LinLing Wang & Zeyang Zhou

    3. Department of Botany, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada

      Jinshan Xu, Shao-Lun Liu & Patrick J Keeling

    4. Beijing Genomics Institute at Shenzhen, Shenzhen, 518000, China

      Guojie Zhang, Songgang Li, Wei Fan & Jun Wang

    Authors
    1. Guoqing Pan
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Jinshan Xu
      View author publications

      You can also search for this author in PubMed Google Scholar

    3. Tian Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    4. Qingyou Xia
      View author publications

      You can also search for this author in PubMed Google Scholar

    5. Shao-Lun Liu
      View author publications

      You can also search for this author in PubMed Google Scholar

    6. Guojie Zhang
      View author publications

      You can also search for this author in PubMed Google Scholar

    7. Songgang Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    8. Chunfeng Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    9. Handeng Liu
      View author publications

      You can also search for this author in PubMed Google Scholar

    10. Liu Yang
      View author publications

      You can also search for this author in PubMed Google Scholar

    11. Tie Liu
      View author publications

      You can also search for this author in PubMed Google Scholar

    12. Xi Zhang
      View author publications

      You can also search for this author in PubMed Google Scholar

    13. Zhengli Wu
      View author publications

      You can also search for this author in PubMed Google Scholar

    14. Wei Fan
      View author publications

      You can also search for this author in PubMed Google Scholar

    15. Xiaoqun Dang
      View author publications

      You can also search for this author in PubMed Google Scholar

    16. Heng Xiang
      View author publications

      You can also search for this author in PubMed Google Scholar

    17. Meilin Tao
      View author publications

      You can also search for this author in PubMed Google Scholar

    18. Yanhong Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    19. Junhua Hu
      View author publications

      You can also search for this author in PubMed Google Scholar

    20. Zhi Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    21. Lipeng Lin
      View author publications

      You can also search for this author in PubMed Google Scholar

    22. Jie Luo
      View author publications

      You can also search for this author in PubMed Google Scholar

    23. Lina Geng
      View author publications

      You can also search for this author in PubMed Google Scholar

    24. LinLing Wang
      View author publications

      You can also search for this author in PubMed Google Scholar

    25. Mengxian Long
      View author publications

      You can also search for this author in PubMed Google Scholar

    26. Yongji Wan
      View author publications

      You can also search for this author in PubMed Google Scholar

    27. Ningjia He
      View author publications

      You can also search for this author in PubMed Google Scholar

    28. Ze Zhang
      View author publications

      You can also search for this author in PubMed Google Scholar

    29. Cheng Lu
      View author publications

      You can also search for this author in PubMed Google Scholar

    30. Patrick J Keeling
      View author publications

      You can also search for this author in PubMed Google Scholar

    31. Jun Wang
      View author publications

      You can also search for this author in PubMed Google Scholar

    32. Zhonghuai Xiang
      View author publications

      You can also search for this author in PubMed Google Scholar

    33. Zeyang Zhou
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to Zeyang Zhou.

    Additional information

    Competing interests

    The author(s) declare that we have no competing interests.

    Authors’ contributions

    Conceived and designed the experiments: ZYZ ZHX QYX JW CL ZZ NJH; Performed the experiments: GQP JSX TL CFL HDL LY XZ ZLW XQD MLT YHL; Analyzed the data: GQP JSX TL SLL GJZ SGL TL WF HX; Contributed reagents /materials/analysis tools: JHH ZL LPL JL LNG LLW MXL YJW; Wrote the paper: GQP ZYZ JSX QYX SLL PJK. All authors read and approved the final manuscript.

    Guoqing Pan, Jinshan Xu, Tian Li contributed equally to this work.

    Electronic supplementary material

    Summary of reads data production in

    Additional file 1: N. bombycis.(DOCX 12 KB)

    Statistics of genome assembly in

    Additional file 2: N. bombycis.(DOCX 11 KB)

    The calculation of genomic size of

    Additional file 3: N. antheraeae based on the frequency distribution of 15-mers depth of reads.(TIFF 144 KB)

    Gene ontology classification of three microsporidian

    Additional file 4: Nosema . Y axis: Log 10 (the proportion of gene numbers in certain sort occupied on the total Go-annotated gene numbers). (TIFF 2 MB)

    Additional file 5: Comparison of average length of homologous gene among five different microsporidian species. (TIFF 763 KB)

    List of main transposable elements among three

    Additional file 6: Nosema species.(DOCX 12 KB)

    Additional file 7: The potential transposition of DNA sequences by Piggybac element.(DOCX 13 KB)

    Additional file 8: Complete list of the annotation genes from genomes, and some lists of genetic position/names of identified element in text.(XLSX 367 KB)

    Diagram showing the Piggybac transposon-mediated exogenous DNA sequence in the collinear region of

    Additional file 9: N. bombycis . TTAA indicates the recognition site of the Piggybac transposon. (TIFF 414 KB)

    Summary of 55 horizontally transferred genes in the

    Additional file 10: N. bombycis genome.(XLS 36 KB)

    Figure showing phosphomevalonate kinase that horizontal transfer from bacteria integrates the mevalonate pathway of

    Additional file 11: N. bombycis .(DOC 109 KB)

    The location of segmental duplications in

    Additional file 12: Nosema bombycis genome. (XLS 126 KB)

    Cumulative plot and statistics of the dN/dS values for CPG and COG genes in

    Additional file 13: N. bombycis .(TIFF 354 KB)

    Additional file 14: The numbers of EST tags for positively selected CPG genes.(XLS 2 MB)

    Additional file 15: Table of parameter estimates for all positively selected CPGs.(XLS 53 KB)

    Additional file 16: Supplementary materials for library construction and genomic assembly.(DOC 63 KB)

    Authors’ original submitted files for images

    Rights and permissions

    Reprints and Permissions

    About this article

    Cite this article

    Pan, G., Xu, J., Li, T. et al. Comparative genomics of parasitic silkworm microsporidia reveal an association between genome expansion and host adaptation. BMC Genomics 14, 186 (2013). https://doi.org/10.1186/1471-2164-14-186

    Download citation

    Keywords

    • Gene duplication
    • Horizontal gene transfer
    • Host-derived transposable element
    • Host adaptation
    • Microsporidian
    • Silkworms

    BMC Genomics

    ISSN: 1471-2164

    Contact us