Abstract
Asaia bogorensis, a member of acetic acid bacteria (AAB), is an aerobic bacterium isolated from flowers and fruits, as well as an opportunistic pathogen that causes human peritonitis and bacteraemia. Here, we determined the complete genomic sequence of the As. bogorensis type strain NBRC 16594, and conducted comparative analyses of gene expression under different conditions of co-culture with mammalian cells and standard AAB culture. The genome of As. bogorensis contained 2,758 protein-coding genes within a circular chromosome of 3,198,265 bp. There were two complete operons encoding cytochrome bo3-type ubiquinol terminal oxidases: cyoABCD-1 and cyoABCD-2. The cyoABCD-1 operon was phylogenetically common to AAB genomes, whereas the cyoABCD-2 operon belonged to a lineage distinctive from the cyoABCD-1 operon. Interestingly, cyoABCD-1 was less expressed under co-culture conditions than under the AAB culture conditions, whereas the converse was true for cyoABCD-2. Asaia bogorensis shared pathogenesis-related genes with another pathogenic AAB, Granulibacter bethesdensis, including a gene coding pathogen-specific large bacterial adhesin and additional genes for the inhibition of oxidation and antibiotic resistance. Expression alteration of the respiratory chain and unique hypothetical genes may be key traits that enable the bacterium to survive under the co-culture conditions.
Keywords: genomics, transcriptome, ubiquinol terminal oxidase, opportunistic pathogen, acetic acid bacteria
1. Introduction
Acetic acid bacteria (AAB) are obligate aerobes, and presently comprise 14 genera assigned to the family Acetobacteraceae, including Acetobacter (Ac.), Gluconobacter (Go.), Gluconacetobacter (Ga.), Granulibacter (Gr.), Komagataeibacter (Ko., former Gluconacetobacter), Asaia (As.), Acidomonas (Am.), Kozakia, Swaminathania, Saccharibacter, Neoasaia, Tanticharoenia, Ameyamaea, and Neokomagataea.1,2 AAB incompletely oxidize a variety of sugars and alcohols, and accumulate large amounts of the corresponding oxidation products in their environment or culture media. These traits of AAB, known as oxidative fermentation, are utilized in the industrial production of vinegar, l-sorbose, and bacterial cellulose.
Oxidative fermentation reactions occur through a variety of primary dehydrogenases in the periplasmic side of the inner cytoplasmic membrane. Electrons that are generated are transferred to ubiquinone and the reduced ubiquinol is utilized by terminal oxidases in the electron transfer chains to reduce oxygen to water and harness the energy to translocate protons across the cytoplasmic membrane.3 There are two types of terminal oxidases in AAB: cytochrome ba3/bo3-type ubiquinol oxidase and bd-type oxidase, which consist of four subunits encoded by the cyoABCD operon (synonym: cyaBACD) and two subunits encoded by cydAB genes, respectively. Cytochrome ba3/bo3-type ubiquinol oxidase is a member of the haeme–copper oxidase superfamily, which includes cytochrome c oxidase in aerobic respiration of mitochondria and aerobes.4
Asaia bogorensis was first isolated from tropical flowers, and is an unusual member of AAB that oxidizes acetate and lactate to carbon dioxide and water, but not ethanol to acetic acid.5 A strain of As. bogorensis isolated from a flower of the orchid tree Bunga bauhinia in Bogor, Indonesia, was assigned to a type strain (=NBRC 16594T= NRIC 0311T= JCM 10569T).5 Based on DNA sequences of 16S rRNA genes, Asaia is phylogenetically located near Gluconobacter and Acetobacter, but is distant from the genera Granulibacter and Gluconacetobacter.5,6 Biochemical analysis revealed that As. bogorensis contains sugar- and sugar alcohol-oxidizing enzymes that are specific to the respiratory chain, such as quinoprotein glycerol dehydrogenase; however, it lacks quinoprotein alcohol dehydrogenase (ADH).7 In addition, As. bogorensis was shown to contain a cytochrome bo3-type ubiquinol oxidase as the sole terminal oxidase in the respiratory chain.7
Asaia bogorensis can also be an opportunistic pathogen in humans. Asaia bogorensis was first reported as an opportunistic human pathogen when it was isolated from the peritoneal fluids of a patient on peritoneal dialysis who showed a consistent clinical status of infectious peritonitis with end-stage renal disease.8 In addition, it was reported that As. bogorensis caused bacteraemia in patients with a history of intravenous-drug abuse.9 Clinical isolates were highly resistant to antibiotics that were routinely tested against gram-negative bacteria, but not against gentamicin or doxycycline.9,10 As reported about infectious diseases of AAB in humans,6,11,12 it is important to comprehend the genetic bases for the pathogenicity of AAB.
Gene contents of organisms may explain their phenotypes, as well as abilities to respond to variety of environmental stresses, and provide us with information regarding their potential to adapt to new ecological niches. Complete genomic DNA sequences from five AAB species have been published for their industrial, agricultural, and clinical significances, including Acetobacter pasteurianus,13,14 Gluconobacter oxydans,15,16 Komagataeibacter medellinensis (former Gluconacetobacter xylinus),17 Gluconacetobacter diazotrophicus,18,19 and Granulibacter bethesdensis.20 To establish a genetic platform for the features of AAB, many draft genomes of unique AAB species have been published, such as Acetobacter pomorum and Asaia platycodi isolated from insect guts,21,22 as well as the methylotroph AAB, Acidomonas methanolica.23
To elucidate genes associated with the unique biochemical capabilities of As. bogorensis and release its genetic information for further analyses of its pathogenic strains, we here determined the complete genome sequence of a type strain of As. bogorensis, NBRC 16594, which is a natural but not clinical isolate. Its gene content was compared with those of other AAB genomes, and the As. bogorensis transcriptome was compared under different culture conditions.
2. Materials and methods
2.1. Genome sequencing
Asaia bogorensis strain NBRC 16594 (=NRIC 0311 = JCM 10569) was obtained from the NITE Biological Resource Center (NBRC, Japan). The genomic DNA sequence of As. bogorensis was determined by a whole-genome shotgun strategy, using a method described previously with slight modifications.23 Briefly, 4.2 µg of genomic DNA was extracted from As. bogorensis that was cultured aerobically in a YPGD medium (1.0% yeast extract, 1.0% polypeptone, 2.0% glycerol, and 0.5% glucose) at 30°C. After DNA fragmentation and isolation (average fragment length 189 bp), 6,345,662 reads (75 bases per read) were generated using the GAIIx sequencing system (Illumina, San Diego, CA, USA). Short DNA reads were assembled using the Velvet 1.0.3 software. Among different k-mers (minimum-overlapping length) that were tested, 49 k-mer in size provided the best result in terms of N50, resulting in 50 contigs, with a total of 3,173,055 bp (coverage: 116×). Seventy-two primers were prepared based on relatively longer 36 contigs out of the 50 ones, and DNA amplification by PCR was performed using all combinations of both ends of the contigs. DNA sequences of the fragments amplified were determined at least once in both strands by direct sequencing of PCR products using an ABI Prism 3100 Genetic Analyzer (Life Technologies). After all the gaps were filled with appropriate qualities, assembling of the genome DNA was validated by gel electrophoresis of its genomic DNA and re-mapping of the short DNA reads, resulted in no inconsistency in the assembling. No plasmids were detected in this process.
2.2. Gene finding and annotation
Protein-coding gene finding was performed using three programmes: GeneMarkS,24 MetaGeneAnnotator,25 and GLIMMER3.26 Protein-coding genes are defined when genomic loci were predicted as protein-coding genes (i) by two or more programmes, or (ii) by only one programme but supported by TIGRFAMs hits,27 or by distinctive RNA expression. The start positions of the genes were determined in two ways: (i) the same position was predicted as a start position by two or more programmes, or (ii) when all three programmes differently predicted start positions, the preferred was chosen from the software in the following order: GeneMarkS, MetaGeneAnnotator, and GLIMMER3. Prediction of rRNA and tRNA genes was performed using RNAmmer28 and tRNAscan-SE,29 respectively. Gene products were annotated on the basis of similar proteins of Am. methanolica23 and Ko. medellinensis,17 or most similar proteins in databases using the BLASTP program,30 as well as referring to conserved protein families that were predicted using the Hmmer3 program31 with a noise cut-off option (--cut_nc) against TIGRFAMs27 and PFAM32 databases.
2.3. Bioinformatics analyses
To analyse a taxonomic distribution of specific genes, a platform phylogenetic tree with whole prokaryotic organisms was illustrated using 42 single-copy genes conserved among As. bogorensis and the complete genome sequences of 705 prokaryotic species representing 705 different genera, including 80 archaea and 625 bacteria, using a previously described method (Supplementary Tables S1 and S2).33,34 The 42 genes were selected on the basis of the following two requirements: (i) the gene should be conserved among >95% of both archaea and bacteria and (ii) average copy numbers of the gene in both archaea and bacteria should be 1.10 or lower. The 42 gene products were aligned by MAFFT35 and concatenated, and phylogenetic distances of the species were then calculated using the FastTree program.36
Phylogenetic profiles were constructed by allocation of each gene in whole genomes of six AAB, including As. bogorensis, Gr. bethesdensis, Ac. pasteurianus, Go. oxydans, Ko. medellinensis, and Ga. diazotrophicus, to a certain gene family at the amino acid level using the Hmmer3 program31 on TIGRFAMs27 and PFAM32 databases. To predict functional and evolutionary interactions among gene families, the gene families were classified into categories, such as gene families existing in only As. bogorensis but not in the other five AAB, ones in only pathogenic AAB (As. bogorensis and Gr. bethesdensis), and ones shared with AAB isolated from natural samples by a mean in which not only the presence or absence of a protein family, but also the copy number of paralogous genes in each AAB genome belonging to a protein family was considered.37 Statistical significance of this categorization was assessed using a Wilcoxon signed-rank test, which takes into account the magnitude of the observed differences.
2.4. Total RNA preparation
Asaia bogorensis was grown under three different conditions. For cells prepared under ‘co-culture conditions’, HEK293 cells (Human Embryonic Kidney 293 cells) and McCoy cells (mouse fibroblast cells) were pre-cultured in 2 ml of Dulbecco's Modified Eagle Medium F-12 (DMEM, Sigma-Aldrich) with 5% foetal calf serum (FCS, Cansera) without antibiotics in six-well plates until 60% confluence was achieved. Asaia bogorensis was cultured in YPGD at 30°C until OD600 = 1.0, and was then diluted 10 times with DMEM with 5% FCS (no antibiotics) and incubated at 37°C with vigorous shaking at 200 rpm until OD600 = 1.0 (∼1 day). The supernatant of the mammalian cells were exchanged with 2 ml of the pre-cultured As. bogorensis, and the co-culture was incubated at 37°C for 8 h at 5% CO2 without agitation. The supernatant was centrifuged at 200 × g at 4°C for 5 min, and the mammalian cells were removed from the culture. Bacterial cells were then collected from the supernatant by centrifugation at 25°C for 5 min at 17,860 × g. For cells prepared under ‘tissue culture conditions’, 2 ml of the pre-cultured As. bogorensis was added to a six-well plate without mammalian cells, and the cells were treated in the same way as cells prepared under ‘co-culture conditions’. As a control condition (‘AAB condition’), As. bogorensis cells were cultured in YPGD at 30°C with aeration at 200 rpm until OD600 = 1.0 was achieved.
2.5. Transcriptome analysis
Total RNA was isolated from the bacterial cells using the RNeasy Protect Bacteria Mini Kit (QIAGEN, Germantown, MD, USA), and sequenced using HiSeq2000 (Illumina) according to the manufacturer's protocols, with the exception of a treatment to decrease a copious amount of cDNA derived from rRNA using a duplex-specific nuclease.38 After base calling and quality filtering using CASAVA (Illumina), the sequence was mapped to the As. bogorensis genomic DNA sequence and processed using the Bowtie39 and SAMtools software package.40 The number of reads that were mapped for each gene was calculated using the BedTools software.41 Reads that were mapped to 16S and 23S rRNA genes were omitted from further analyses. Genes that were differentially expressed between two sets of samples were estimated using the edgeR package42 after normalization using the TCC package.43 For cells that were treated under ‘co-culture conditions’, four samples (two samples containing HEK293 and two samples containing McCoy cells) were prepared from independent cultures. Adjustments of false discovery rates for P-values were performed for multiple comparisons using a multi-test correction. All statistical analyses were conducted using the R statistical package. After data averaging and normalization, Reads per kilobase gene per million reads (RPKM) values were used for graphical presentations.
3. Results
3.1. General features
The complete genome sequence of As. bogorensis NBRC 16594 consisted of a single, circular chromosome of 3,198,265 bp with a GC content of 59.8% without plasmids (Table 1 and Fig. 1). In general, the As. bogorensis genome showed similar features to other complete genomes of AAB (Table 1). However, As. bogorensis and another AAB, which is also a human pathogen, Gr. bethesdensis, shared a few interesting traits, including a lack of plasmids and few transposase genes in the genomes (Table 1). Phylogenetic analysis based on 42 concatenated prokaryotic universal genes illustrated a phylogenetic tree (Fig. 2) similar to the one based on the 16S rRNA genes.5 Therefore, As. bogorensis is closely related to Go. oxydans 621H, but distant from Gr. bethesdensis, suggesting that pathogenicity and the common traits of As. bogorensis and Gr. bethesdensis independently evolved during the evolutionary adaptation of the two AAB.
Table 1.
Species | Strain | Plasmid | Length (bp) | GC (%) | CDSa | tRNA | rRNA operon | Transposaseb | Reference | Trait |
---|---|---|---|---|---|---|---|---|---|---|
As. bogorensis | NBRC 16594 | 0 | 3,198,265 | 59.8 | 2,758 | 58c | 5 | 14 (4, 9) | This work | Isolated from the flower of the orchid tree |
Gr. bethesdensis | CGDNIH1 | 0 | 2,708,355 | 59.1 | 2,437 | 52 | 3 | 15 (4, 12) | Greenberg et al.20 | Chronic granulomatous disease |
Ac. pasteurianus | IFO 3283-01 | 6 | 3,340,249 | 53.1 | 3,050 | 58c | 5 | 268 (52, 47) | Azuma et al.13 | Used for brewing traditional vinegar |
Go. oxydans | 621H | 5 | 2,922,384 | 60.8 | 2,664 | 56c | 4 | 104 (27, 24) | Prust et al.16 | Used for vitamin C synthesis |
Ko. medellinensisd | NBRC 3288 | 7 | 3,508,936 | 60.6 | 3,195 | 58c | 5 | 204 (24, 57) | Ogino et al.17 | Isolated from vinegar |
Ga. diazotrophicus | PAl 5 | 1 | 3,914,947 | 66.3 | 3,501 | 56c | 4 | 129 (22, 26) | Giongo et al. 19 | Endophyte of sugarcane |
As.: Asaia; Gr.: Granulibacter; Ac.: Acetobacter; Go.: Gluconobacter; Ko.: Komagataeibacter; Ga.: Gluconacetobacter.
aAs per the annotation of the public sequences.
bThe number of transposase genes. Numbers in the parentheses represent the copy number of the largest family and the number of families.
cOne tRNA (Arg) is split by a sequence homologous to a group I intron.
dFormerly known as Gluconacetobacter xylinus NBRC 3288.2
3.2. Characteristic genes in the As. bogorensis genome
To clarify the characteristic genes, especially potentially pathogenic genes (described as pathogenic genes below), data from the phylogenetic profiles were used (Supplementary Table S3). Several genes are likely to be associated with pathogenicity of As. bogorensis in the gene families of only two pathogenic AAB (As. bogorensis and Gr. bethesdensis), and in three AAB able to habitat in eukaryotic organisms (As. bogorensis, Gr. bethesdensis, and Ga. diazotrophicus; Table 2). For example, As. bogorensis and Gr. bethesdensis contained genes encoding a large adhesin protein and its associated haemolysin activator protein, peroxidase genes, catalase genes, and antibiotic-resistant genes (beta-lactamases and penicillin amidase), as well as a type II secretion system. The type II secretion system and the large adhesin family genes are prevalent among a wide range of animal and plant pathogens.46,47 Interestingly, the As. bogorensis genome contained two complete operons for the bo3-type ubiquinol oxidase, which is described below (see Section 3.4). The As. bogorensis genome also uniquely contained an operon with two genes that were homologous to rhodopsin and beta-carotene 15,15′-monooxygenase, which may function as a light-driven ion pump and produce a retinal cofactor of rhodopsin, respectively. Asaia bogorensis and Ko. medellinensis are known to produce cellulose fibres,17,48 and both contained a cellulose synthase bcs operon (synonyms: cel and ces) composed of bcsAB, bcsC, and bcsD genes (Asbog_01433–Asbog_01431). Those operons were classified into the gene families conserved in only As. bogorensis and Ko. medellinensis (Supplementary Table S3A).
Table 2.
Species | Strain | Large adhesin | Peroxidase | Catalase | Penicillin amidase | Beta-lactamasea | Type II secretion | cyoABCD |
---|---|---|---|---|---|---|---|---|
As. bogorensis | NBRC 16594 | 1 | 1 | 2 | 1 | 3 | 1 | 2 |
Gr. bethesdensis | CGDNIH1 | 1 | 1 | 3 | 1 | 3 | 1 | 1b |
Ga. diazotrophicus | PAl 5 | 0 | 0 | 3 | 0 | 4 | 1 | 1 |
Ac. pasteurianus | IFO 3283-01 | 0 | 0 | 1 | 0 | 2 | 0 | 1b |
Go. oxydans | 621H | 0 | 0 | 1 | 0 | 2 | 0 | 1 |
Ko. medellinensis | NBRC 3288 | 0 | 0 | 1 | 0 | 2 | 0 | 1 |
As.: Asaia; Gr.: Granulibacter; Ga.: Gluconacetobacter; Ac.: Acetobacter; Go.: Gluconobacter; Ko.: Komagataeibacter.
aBeta-lactamase family (PFAM accession PF13354.1).
bContains another terminal oxidase, a cytochrome c oxidase, as previously reported.45
3.3. Transcriptome analysis
Asaia bogorensis and Am. methanolica have been reported as opportunistic human pathogens.8–10,12 Asaia bogorensis NBRC 16594 and Am. methanolica NBRC104435 were shown to grow at 37°C under ‘tissue culture conditions’ (Supplementary Fig. S1).23 To identify As. bogorensis genes that contribute to its growth in human bodies, comparative transcriptome analysis by RNA-seq was performed using As. bogorensis cultured under three different conditions: ‘co-culture conditions’, involving tissue culture at 37°C with mammalian cells, ‘tissue culture conditions’, involving the same culture conditions at 37°C but without mammalian cells, and in a YPGD medium at 30°C (‘AAB condition’). The results for ‘co-culture conditions’ and ‘tissue culture conditions’ showed high reproducibility for RNA-seq experiments (Supplementary Fig. S2). For the 2,833 genes of As. bogorensis, the expression of 101 and 78 genes was significantly higher and lower under ‘co-culture conditions’ than under the ‘AAB condition’, respectively (Fig. 3 and Supplementary Table S4). Individual results for genes that encode terminal oxidases, primary dehydrogenases, genes that are unique to As. bogorensis, and genes related to stress responses are described below.
3.4. Genes for electron transport chain
Two complete operons of cyoABCD encoding bo3-type ubiquinol oxidases were identified in the As. bogorensis genome and assigned as cyoABCD-1 (Asbog_01765–Asbog_01762) and cyoABCD-2 (Asbog_00581–Asbog_00578) (Table 2 and Fig. 4A). Within 705 prokaryotic species that represent 705 different genera (Supplementary Tables S1 and S2), 98 species contained cyoABCD genes, but only eight, besides As. bogorensis, contained two or more complete cyo operons. Most of the eight species are animal and plant pathogens or symbionts, including Bordetella bronchiseptica RB50, Burkholderia pseudomallei K96243, Stenotrophomonas maltophilia K279a, and Ralstonia solanacearum GMI100. Other AAB contained only one operon for the oxidase in each genome. The cyoABCD-1 operon belonged to a monophyletic clade formed by cyoABCD genes from the other AAB (Fig. 4B and C), whereas the cyoABCD-2 operon belonged to a clade composed of various Proteobacteria (Fig. 4B and D). Genes encoding haeme O synthase, cyoE, and assembly factor surf1 were not in the flanking regions for both operons.
The structural and mutagenic studies performed on the bo3-type ubiquinol oxidase of Escherichia coli strongly suggest that the ubiquinol-binding site is in the transmembrane helices I and II, which contain a cluster of conserved polar residues in the subunit I, CyoB.49 Most of the residues conserved among ubiquinol oxidase CyoB were also conserved in both CyoB-1 and CyoB-2, except for three residues, 75E, 78V, and 102L, in CyoB-2 (Fig. 4E). Therefore, both CyoB-1 and CyoB-2 may be functional if those genes are expressed properly. Comparative transcriptome analysis indicated that As. bogorensis expressed lower levels of cyoABCD-1 under ‘co-culture conditions’ than under the ‘AAB condition’, whereas the opposite was true for cyoABCD-2 (Figs 3 and 5A). The results indicate that cyoABCD-1 and cyoABCD-2 could contribute to growth in the tissue culture condition by altering the expressions.
Escherichia coli contains cyo and cyd operons that encode cytochrome bo3 oxidase and cytochrome d oxidase, respectively. Expression of E. coli cyd genes is upregulated under an oxygen-limited condition, so that the organism can survive under oxygen starvation conditions.50 Asaia bogorensis also has cydAB of cytochrome bd oxidase that belongs to the subfamily of cyanide-insensitive terminal quinol oxidases. In contrast, expression levels of As. bogorensis cyd genes were relatively consistent under the different conditions (Fig. 5A).
Asaia bogorensis and three other AAB, such as Ac. pasteurianus, Ko. medellinensis, and Gr. bethesdensis, contain one nuo operon for type I NADH dehydrogenases (Complex I), whereas Ga. diazotrophicus contains two, and Go. oxydans does not contain any. The phylogenetic analysis based on concatenated amino acid sequences encoded by six-well-conserved nuo genes (nuoHIJKLN) indicated that nuo operon of As. bogorensis and one operon of Ga. diazotrophicus formed a clade that was distinctive from one composed by nuo operons of Ac. pasteurianus, Ko. medellinensis, Gr. bethesdensis, and the other operon of Ga. diazotrophicus (Supplementary Fig. S3). Taken together with the phylogenetic analysis presented in Fig. 2, it appears that As. bogorensis and Ga. diazotrophicus gained an extra nuo gene, possibly by the horizontal gene transfer, and As. bogorensis and Go. oxydans lost one nuo operon that is common among AAB.
The As. bogorensis genome included three more operons for the electron transport: ndh (type II NADH-dehydrogenase [NDH-2]), sdh (membrane-associated FAD-dependent succinate dehydrogenase [complex II]), and atp (an F1F0-type ATP synthase [complex V]) operons. Expression of the nuo, sdh, and atp operons were relatively lower under ‘co-culture conditions’ than under the ‘AAB condition’, whereas ndh expression was higher under ‘co-culture conditions’ than the ‘AAB condition’ (Supplementary Table S4 and Fig. S4A). These results regarding sdh operon differed from a previous report7 that showed no activities were detected. It suggests that production of complex II is too low to detect biochemical activity, or that genetically it lost its function.
3.5. Membrane-associated primary dehydrogenases
AAB genomes contain several genes that encode membrane-associated quinone reductases coupling substrate oxidation with quinone reduction (primary dehydrogenases).16,23 Asaia bogorensis genome included genes for six membrane-associated primary dehydrogenases assigned based on subunit structures and amino acid sequences, i.e. SLDH1, GADH, GDH, GLDH, IDH (PQQ1), and LDH (Table 3).14,22 However, genes that encode membrane-associated ADH and aldehyde dehydrogenase (ALDH) were not found in the As. bogorensis genome. This result was consistent with reports that As. bogorensis does not oxidize ethanol to acetic acid.5,7
Table 3.
Familya | Cofactor | Subfamily | Genes |
---|---|---|---|
Sorbitol dehydrogenase | FAD | SLDH | Asbog_00352–Asbog_00354 |
Gluconate 2-dehydrogenase | FAD | GADH | Asbog_02524–Asbog_02526 |
Glucose dehydrogenase | PQQ | GDH | Asbog_00903 |
Glycerol dehydrogenase | PQQ | GLDH | Asbog_02636 and Asbog_02637 |
PQQ-dependent family | PQQ | IDHb | Asbog_00451 |
d-lactate dehydrogenase | FAD | LDH | Asbog_00865 |
Pyruvate oxidase | TPP and FAD | POX | Asbog_02184–Asbog_02187 |
aQuinone reductases involved in oxidative fermentation are presented. Other quinone reductases that function in different processes are omitted from this table, such as FAD-dependent succinate dehydrogenase (Asbog_00368–Asbog_00371), FAD-dependent malate : quinone oxidoreductase (Asbog_01178), and proline dehydrogenase (Asbog_02561 and Asbog_00494).
bFormer PQQ1 was biochemically determined to be inositol dehydrogenase.51
The pyruvate oxidase operon (Asbog_02184–Asbog_02187) was unique to As. bogorensis and showed features conserved in membrane-associated primary dehydrogenases. Asbog_02184 encoded thiamin- and FAD-binding dehydrogenase similar to a membrane-associated cytoplasmic protein, PoxB (Supplementary Fig. S5A and B).52 Asbog_02185 encoded a protein with seven transmembrane helices. Asbog_02186 encoded a protein with a domain of gluconate 2-dehydrogenase subunit 3 similar to FAD-binding small subunits of primary dehydrogenases, such as Asbog_00352 for sldh and Asbog_02524 for gadh. Asbog_02187 encoded a glucose-methanol-choline family oxidoreductase similar to FAD-binding large subunits of primary dehydrogenases, such as Asbog_00353 for sldh and Asbog_02525 for gadh. The pyruvate oxidase seems a membrane-associated primary dehydrogenase locating in periplasmic space. But, the possibility has not been excluded that the pyruvate oxidase localizes on the cytoplasmic side of the cytoplasmic membrane, because it is still very difficult to predict topological locations of proteins by bioinformatics approaches.
Interestingly, the pyruvate oxidase operon was highly expressed under ‘co-culture conditions’ comparing with other two conditions, whereas gene expression levels of the other primary dehydrogenase were not altered under the three culture conditions (Supplementary Table S4 and Figs S4B and S5C). The expression profile of pyruvate oxidase operon was similar to one of cyo-2 under the three conditions (Fig. 5A). Alterations in gene expression for the pyruvate oxidase may be related to culturing statuses, such as nutrition, oxygen dissolved in media, and temperature, as well as interaction with mammalian cells; however, the functional implications of the alterations are unknown.
The uncharacterized PQQ-containing oxidoreductase PQQ2 subfamily (e.g. GOX1969 and Asbog_01692) partially shares its structure with BamB, which is a lipoprotein component of the BAM (beta-barrel assembly machinery) complex and catalyses the essential process of assembling outer membrane proteins.53 Thus, proteins in the PQQ2 subfamily were omitted from a list of primary dehydrogenases in this work. Similarly, quinone reductases involved in processes other than oxidative fermentation were omitted from the data (Table 3), such as FAD-dependent succinate dehydrogenase (Asbog_00368–Asbog_00371), FAD-dependent malate : quinone oxidoreductase (Asbog_01178), and proline dehydrogenase (Asbog_02561 and Asbog_00494).
3.6. Other co-culture responsive genes
To determine the most responsive genes for ‘co-culture conditions’, 30 genes that resulted in the highest expression (average RPKM ≥2,500) were selected for analysis out of 101 genes that were expressed significantly higher under ‘co-culture conditions’ than the ‘AAB condition’. Fifteen out of the 30 genes encoded hypothetical proteins with unknown functions. Interestingly, nine of the 15 hypothetical genes were relatively small (<450 bases), and eight out of the nine genes were unique to As. bogorensis (Fig. 3 and Supplementary Table S4A). The mapping of the RNA-seq reads to genome regions with the 15 hypothetical genes resulted in independent peaks for monocistronic genes. Expression histograms of the nine short hypothetical genes are presented in Supplementary Fig. S6.
In addition to these short hypothetical genes, there were six stress response genes in the 30 most responsive genes under ‘co-culture conditions’, including rpoH (Asbog_00611) for heat shock sigma factor Sigma32, and five genes for heavy-metal resistance domain protein (Asbog_00970), thioredoxin peroxidase (Asbog_01975), stress response protein, CsbD (Asbog_00532), cold shock transcriptional regulator (Asbog_02006), and a starvation-inducible DNA-binding protein/stationary phase protection protein, Dps (Asbog_00671). In contrast to the rpoH gene expression, groEL/groES (Asbog_01781 and Asbog_01782) and dnaJK (Asbog_02819 and Asbog_02818) were expressed significantly less under ‘co-culture conditions’ than under ‘AAB conditions’ (Fig. 5B and Supplementary Table S4B). This discordance of gene expression between rpoH and its prospected regulons is unknown at this time.
4. Discussion
Asaia bogorensis is a unique member of AAB and was reported as an opportunistic pathogen that causes human peritonitis and bacteraemia. Here, we determined the complete genome sequence of an As. bogorensis type strain NBRC 16594, which was isolated from flowers and fruits. The comparative genome analyses with other complete genomes showed that the bacterium genome contained putative pathogenic genes, including genes encoding type II secretion system and large cell adhesin, and genes responsible for elimination of reactive oxygen species and antibiotics. The genome data may provide basic information for further characterization of As. bogorensis pathogenicity using clinical isolates.
RNA-seq analyses using various culture conditions illuminated that expression of many short hypothetical genes, most of which are unique to As. bogorensis, were significantly higher under the ‘co-culture conditions’ with two types of mammal cells than under the ‘AAB condition’. It was previously reported that small proteins were involved in the adaptation to stressful environments,54,55 and thus those short hypothetical genes may response to stressors under the ‘co-culture conditions’. Expression levels of certain stress-responsive genes were also significantly high under the ‘co-culture conditions’, including genes encoding RpoH, CsbD, Dps, heavy-metal resistance domain proteins, thioredoxin peroxidase, and cold shock transcriptional regulator. Most of the AAB are mesophilic and can grow only at 35°C or below. But certain AAB species, including As. bogorensis and Ac. pasteurianus, could be adapted to higher temperature environments managing those stress-responsive genes. Asaia bogorensis increased gene expression of RpoH under the ‘co-culture conditions’. However, gene expression of the assumable regulon of RpoH, including typical heat shock protein (HSP) genes, groEL/groES and dnaJK, were significantly lower under ‘co-culture conditions’. Many reports showed that bacterial HSPs stimulate immune responses of their hosts and host cells produce proinflammatory cytokines leading to inflammation.56,57 The low expression of HSPs under the ‘co-culture conditions’ may provide a clue to understand how As. bogorensis avoids immunosurveillance and establishes chronic infection in human bodies.
Two cyo operons were identified in the As. bogorensis genome and showed opposite expression profiles under different conditions. There are five draft genomes of Asaia species in the public database, including Asaia astilbis JCM 15831 (GCF_000613845.1), As. sp. SF2.1 (NCBI assembly ID GCF_000505765.1),58 Asaia prunellae JCM 25354 (GCF_000613885.1), As. platycodi JCM 25414 (GCF_000614545.1), and As. platycodi SF2.1 (GCF_000724025.1).22 All Asaia species, except As. astilbis, have two cyo operons that correspond to cyoABCD-1 and cyoABCD-2. Asaia astilbis genome contained mutated cyoABCD-1 but no cyoABCD-2 operon. It may be because the draft genome DNA sequence was highly erroneous or because its mutation rate was high. Asaia species were identified in the gut and salivary gland of Anopheles stephensi, an Asian malarial mosquito vector.59,60 It is possible that generation of the two cyo operons in an Asaia ancestor was a key evolutionary event that led to the survival in a variety of environments, including high temperature conditions and inside of multicellular organisms. Besides As. bogorensis, only 8 species among 705 prokaryotic species contained two or more complete cyo operons, and most of the species are animal and plant pathogens or symbionts. Further analyses are required to clarify the evolutionary relationship among those species and the meaning of the gene expression alteration.
In conclusion, complete genome sequencing, genome comparison with other bacteria, and transcriptome analysis of As. bogorensis identified genes that may confer the ability to survive in various and changing environments.
Accession numbers
The accession number of the genome sequence and the BioProject ID of As. bogorensis NBRC 16594 reported in this paper is DDBJ:AP014690.1 and PRJDB519, respectively.
Supplementary data
Supplementary data are available at www.dnaresearch.oxfordjournals.org
Funding
This work was financially supported by the Advanced Low Carbon Technology Research and Development Program (ALCA), and a grant-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan (KAKEN-HI: 22510222). Funding to pay the Open Access publication charges for this article was provided by the Advanced Low Carbon Technology Research and Development Program (ALCA).
Supplementary Material
References
- 1.Saichana N., Matsushita K., Adachi O., Frébort I., Frebortova J.. 2014, Acetic acid bacteria: a group of bacteria with versatile biotechnological applications, Biotechnol. Adv., doi:10.1016/j.biotechadv.2014.1012.1001. [DOI] [PubMed] [Google Scholar]
- 2.Yamada Y. 2014, Transfer of Gluconacetobacter kakiaceti, Gluconacetobacter medellinensis and Gluconacetobacter maltaceti to the genus Komagataeibacter as Komagataeibacter kakiaceti comb. nov., Komagataeibacter medellinensis comb. nov. and Komagataeibacter maltaceti comb. nov., Int. J. Syst. Evol. Microbiol., 64, 1670–2. [DOI] [PubMed] [Google Scholar]
- 3.Adachi O., Moonmangmee D., Toyama H., Yamada M., Shinagawa E., Matsushita K.. 2003, New developments in oxidative fermentation, Appl. Microbiol. Biotechnol., 60, 643–53. [DOI] [PubMed] [Google Scholar]
- 4.Sousa F.L., Alves R.J., Ribeiro M.A., Pereira-Leal J.B., Teixeira M., Pereira M.M.. 2012, The superfamily of heme-copper oxygen reductases: types and evolutionary considerations, Biochim. Biophys. Acta, 18,17, 629–37. [DOI] [PubMed] [Google Scholar]
- 5.Yamada Y., Katsura K., Kawasaki H. et al. . 2000, Asaia bogorensis gen. nov., sp. nov., an unusual acetic acid bacterium in the alpha-Proteobacteria, Int. J. Syst. Evol. Microbiol., 50 (Pt 2), 823–9. [DOI] [PubMed] [Google Scholar]
- 6.Greenberg D.E., Porcella S.F., Stock F. et al. . 2006, Granulibacter bethesdensis gen. nov., sp. nov., a distinctive pathogenic acetic acid bacterium in the family Acetobacteraceae, Int. J. Syst. Evol. Microbiol., 56, 2609–16. [DOI] [PubMed] [Google Scholar]
- 7.Ano Y., Toyama H., Adachi O., Matsushita K.. 2008, Energy metabolism of a unique acetic acid bacterium, Asaia bogorensis, that lacks ethanol oxidation activity, Biosci. Biotechnol. Biochem., 72, 989–97. [DOI] [PubMed] [Google Scholar]
- 8.Snyder R.W., Ruhe J., Kobrin S. et al. . 2004, Asaia bogorensis peritonitis identified by 16S ribosomal RNA sequence analysis in a patient receiving peritoneal dialysis, Am. J. Kidney Dis., 44, e15–7. [DOI] [PubMed] [Google Scholar]
- 9.Tuuminen T., Heinäsmäki T., Kerttula T.. 2006, First report of bacteremia by Asaia bogorensis, in a patient with a history of intravenous-drug abuse, J. Clin. Microbiol., 44, 3048–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tuuminen T., Roggenkamp A., Vuopio-Varkila J.. 2007, Comparison of two bacteremic Asaia bogorensis isolates from Europe, Eur. J. Clin. Microbiol. Infect. Dis., 26, 523–4. [DOI] [PubMed] [Google Scholar]
- 11.Alauzet C., Teyssier C., Jumas-Bilak E. et al. . 2010, Gluconobacter as well as Asaia species, newly emerging opportunistic human pathogens among acetic acid bacteria, J. Clin. Microbiol., 48, 3935–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chase J.M., Holland S.M., Greenberg D.E., Marshall-Batty K., Zelazny A.M., Church J.A.. 2012, Acidomonas methanolica-associated necrotizing lymphadenitis in a patient with chronic granulomatous disease, J. Clin. Immunol., 32, 1193–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Azuma Y., Hosoyama A., Matsutani M. et al. . 2009, Whole-genome analyses reveal genetic instability of Acetobacter pasteurianus , Nucleic Acids Res., 37, 5768–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Illeghems K., De Vuyst L., Weckx S.. 2013, Complete genome sequence and comparative analysis of Acetobacter pasteurianus 386B, a strain well-adapted to the cocoa bean fermentation ecosystem, BMC Genomics, 14, 526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ge X., Zhao Y., Hou W. et al. . 2013, Complete genome sequence of the industrial strain Gluconobacter oxydans H24, Genome Announc., 1, e00003–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Prust C., Hoffmeister M., Liesegang H. et al. . 2005, Complete genome sequence of the acetic acid bacterium Gluconobacter oxydans, Nat. Biotechnol., 23, 195–200. [DOI] [PubMed] [Google Scholar]
- 17.Ogino H., Azuma Y., Hosoyama A. et al. . 2011, Complete genome sequence of NBRC 3288, a unique cellulose-nonproducing strain of Gluconacetobacter xylinus isolated from vinegar, J. Bacteriol., 193, 6997–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bertalan M., Albano R., de Padua V. et al. . 2009, Complete genome sequence of the sugarcane nitrogen-fixing endophyte Gluconacetobacter diazotrophicus Pal5, BMC Genomics, 10, 450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Giongo A., Tyler H.L., Zipperer U.N., Triplett E.W.. 2010, Two genome sequences of the same bacterial strain, Gluconacetobacter diazotrophicus PAl 5, suggest a new standard in genome sequence submission, Stand Genomic Sci., 2, 309–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Greenberg D.E., Porcella S.F., Zelazny A.M. et al. . 2007, Genome sequence analysis of the emerging human pathogenic acetic acid bacterium Granulibacter bethesdensis, J. Bacteriol., 189, 8727–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Shin S.C., Kim S.H., You H. et al. . 2011, Drosophila microbiome modulates host developmental and metabolic homeostasis via insulin signaling, Science, 334, 670–4. [DOI] [PubMed] [Google Scholar]
- 22.Chouaia B., Gaiarsa S., Crotti E. et al. . 2014, Acetic acid bacteria genomes reveal functional traits for adaptation to life in insect guts, Genome Biol. Evol., 6, 912–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Higashiura N., Hadano H., Hirakawa H. et al. . 2014, Draft genomic DNA sequence of the facultatively methylotrophic bacterium Acidomonas methanolica type strain MB58, FEMS Microbiol. Lett., 351, 9–13. [DOI] [PubMed] [Google Scholar]
- 24.Besemer J., Lomsadze A., Borodovsky M.. 2001, GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions, Nucleic Acids Res., 29, 2607–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Noguchi H., Taniguchi T., Itoh T.. 2008, MetaGeneAnnotator: detecting species-specific patterns of ribosomal binding site for precise gene prediction in anonymous prokaryotic and phage genomes, DNA Res., 15, 387–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Delcher A.L., Bratke K.A., Powers E.C., Salzberg S.L.. 2007, Identifying bacterial genes and endosymbiont DNA with Glimmer, Bioinformatics, 23, 673–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Haft D.H., Selengut J.D., White O.. 2003, The TIGRFAMs database of protein families, Nucleic Acids Res., 31, 371–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lagesen K., Hallin P., Rødland E.A., Stærfeldt H.H., Rognes T., Ussery D.W.. 2007, RNAmmer: consistent and rapid annotation of ribosomal RNA genes, Nucleic Acids Res., 35, 3100–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lowe T.M., Eddy S.R.. 1997, tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence, Nucleic Acids Res., 25, 955–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Altschul S.F., Madden T.L., Schäffer A.A. et al. . 1997, Gapped BLAST and PSI-BLAST: a new generation of protein database search programs, Nucleic Acids Res., 25, 3389–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Eddy S.R. 2011, Accelerated profile HMM searches, PLoS Comput. Biol., 7, e1002195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Finn R.D., Mistry J., Tate J. et al. . 2010, The Pfam protein families database, Nucleic Acids Res., 38, D211–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Uchiyama I. 2006, Hierarchical clustering algorithm for comprehensive orthologous-domain classification in multiple genomes, Nucleic Acids Res., 34, 647–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kawai M., Futagami T., Toyoda A. et al. . 2014, High frequency of phylogenetically diverse reductive dehalogenase-homologous genes in deep subseafloor sedimentary metagenomes, Front. Microbiol., 5, 80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Katoh K., Kuma K., Toh H., Miyata T.. 2005, MAFFT version 5: improvement in accuracy of multiple sequence alignment, Nucleic Acids Res., 33, 511–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Price M.N., Dehal P.S., Arkin A.P.. 2010, FastTree 2—approximately maximum-likelihood trees for large alignments, PLoS ONE, 5, e9490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kawai M., Furuta Y., Yahara K. et al. . 2011, Evolution in an oncogenic bacterial species with extreme genome plasticity: Helicobacter pylori East Asian genomes, BMC Microbiol., 11, 104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Yi H., Cho Y.J., Won S. et al. . 2011, Duplex-specific nuclease efficiently removes rRNA for prokaryotic RNA-seq, Nucleic Acids Res., 39, e140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Langmead B., Trapnell C., Pop M., Salzberg S.L.. 2009, Ultrafast and memory-efficient alignment of short DNA sequences to the human genome, Genome Biol., 10, R25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Li H., Handsaker B., Wysoker A. et al. . 2009, The Sequence Alignment/Map format and SAMtools, Bioinformatics, 25, 2078–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Quinlan A.R., Hall I.M.. 2010, BEDTools: a flexible suite of utilities for comparing genomic features, Bioinformatics, 26, 841–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Robinson M.D., McCarthy D.J., Smyth G.K.. 2010, edgeR: a Bioconductor package for differential expression analysis of digital gene expression data, Bioinformatics, 26, 139–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sun J., Nishiyama T., Shimizu K., Kadota K.. 2013, TCC: an R package for comparing tag count data with robust normalization strategies, BMC Bioinformatics, 14, 219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Vernikos G.S., Parkhill J.. 2006, Interpolated variable order motifs for identification of horizontally acquired DNA: revisiting the Salmonella pathogenicity islands, Bioinformatics, 22, 2196–203. [DOI] [PubMed] [Google Scholar]
- 45.Matsutani M., Fukushima K., Kayama C. et al. . 2014, Replacement of a terminal cytochrome c oxidase by ubiquinol oxidase during the evolution of acetic acid bacteria, Biochim. Biophys. Acta, 1837, 1810–20. [DOI] [PubMed] [Google Scholar]
- 46.Douzi B., Filloux A., Voulhoux R.. 2012, On the path to uncover the bacterial type II secretion system, Philos. Trans. R. Soc. Lond. B. Biol. Sci., 367, 1059–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Rojas C.M., Ham J.H., Deng W.L., Doyle J.J., Collmer A.. 2002, HecA, a member of a class of adhesins produced by diverse pathogenic bacteria, contributes to the attachment, aggregation, epidermal cell killing, and virulence phenotypes of Erwinia chrysanthemi EC16 on Nicotiana clevelandii seedlings, Proc. Natl. Acad. Sci. USA, 99, 13142–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kumagai A., Mizuno M., Kato N. et al. . 2011, Ultrafine cellulose fibers produced by Asaia bogorensis, an acetic acid bacterium, Biomacromolecules, 12, 2815–21. [DOI] [PubMed] [Google Scholar]
- 49.Abramson J., Riistama S., Larsson G. et al. . 2000, The structure of the ubiquinol oxidase from Escherichia coli and its ubiquinone binding site, Nat. Struct. Biol., 7, 910–7. [DOI] [PubMed] [Google Scholar]
- 50.Cotter P.A., Chepuri V., Gennis R.B., Gunsalus R.P.. 1990, Cytochrome o (cyoABCDE) and d (cydAB) oxidase gene expression in Escherichia coli is regulated by oxygen, pH, and the fnr gene product, J. Bacteriol., 172, 6333–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hölscher T., Weinert-Sepalage D., Görisch H.. 2007, Identification of membrane-bound quinoprotein inositol dehydrogenase in Gluconobacter oxydans ATCC 621H, Microbiology, 153, 499–506. [DOI] [PubMed] [Google Scholar]
- 52.Abdel-Hamid A.M., Attwood M.M., Guest J.R.. 2001, Pyruvate oxidase contributes to the aerobic growth efficiency of Escherichia coli, Microbiology, 147, 1483–98. [DOI] [PubMed] [Google Scholar]
- 53.Gatsos X., Perry A.J., Anwari K. et al. . 2008, Protein secretion and outer membrane assembly in Alphaproteobacteria, FEMS Microbiol. Rev., 32, 995–1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Hemm M.R., Paul B.J., Miranda-Rios J., Zhang A., Soltanzad N., Storz G.. 2010, Small stress response proteins in Escherichia coli: proteins missed by classical proteomic studies, J. Bacteriol., 192, 46–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Setlow P. 2007, I will survive: DNA protection in bacterial spores, Trends Microbiol., 15, 172–80. [DOI] [PubMed] [Google Scholar]
- 56.LaVerda D., Kalayoglu M.V., Byrne G.I.. 1999, Chlamydial heat shock proteins and disease pathology: new paradigms for old problems?, Infect. Dis. Obstetr. Gynecol., 7, 64–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Maguire M., Coates A.R., Henderson B.. 2002, Chaperonin 60 unfolds its secrets of cellular communication, Cell Stress Chaperones, 7, 317–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Shane J.L., Bongio N.J., Favia G., Lampe D.J.. 2014, Draft genome sequence of Asaia sp. strain SF2.1, an important member of the microbiome of Anopheles mosquitoes, Genome Announc., 2, e01202–01213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Favia G., Ricci I., Damiani C. et al. . 2007, Bacteria of the genus Asaia stably associate with Anopheles stephensi, an Asian malarial mosquito vector, Proc. Natl. Acad. Sci. USA, 104, 9047–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Chouaia B., Rossi P., Montagna M. et al. . 2010, Molecular evidence for multiple infections as revealed by typing of Asaia bacterial symbionts of four mosquito species, Appl. Environ. Microbiol., 76, 7444–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.