Skip to main content

METHODS article

Front. Microbiol., 07 December 2023
Sec. Evolutionary and Genomic Microbiology

Development of a quadruplex PCR amplicon next generation sequencing assay for detection and differentiation of Bartonella spp.

Updated
  • Bacterial Disease Branch, Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States

The genus Bartonella includes a group of species that are associated with a wide range of mammalian species, including human. It is challenging to detect all Bartonella species using a single molecular target due to its high genetic diversity. To solve this issue, we developed a quadruplex PCR amplicon sequencing assay using next-generation sequencing (NGS) technology for the detection and differentiation of Bartonella species. Our objective was to obtain the specific sequences of a minimum of two of the four target genes as confirmation of the identity of a particular Bartonella species using the assay. Four pairs of primers targeting specific regions on gltA, groEL, rpoB, and ssrA were evaluated for their capability of differentiating Bartonella species individually and collectively by performing singular PCR amplicon sequencing and quadruplex PCR amplicon sequencing. Using the quadruplex PCR amplicon sequencing, 24 Bartonella reference species were tested, all of which were successfully differentiated by at least two targets. Bartonella species were accurately identified from the artificially mixed DNA templates developed to simulate coinfections. The limit of detection was determined to be 1 fg based on testing a series of 10-fold dilutions of DNA from the Bartonella species. Testing of high DNA concentrations of 19 non-Bartonella species showed high specificity with none of the non-Bartonella species misclassified as Bartonella. Finally, the assay was evaluated by testing DNA extracts from field-collected body lice (Pediculus humanus humanus) and Norway rats (Rattus norvegicus): Bartonella quintana was detected and confirmed by three targets in the lice and Bartonella tribocorum was detected and confirmed by two targets in the rats. These results demonstrated that Bartonella species could be accurately and rapidly detected and differentiated into different tissue types using the quadruplex sequencing assay.

Introduction

The genus of Bartonella includes a group of Gram-negative bacteria that can infect a wide variety of mammals. A high prevalence of Bartonella spp. bacteremia has been reported in rodents, ruminants, cats, and many other animals throughout the world (Heller et al., 1997; Breitschwerdt and Kordick, 2000; Chang et al., 2000; Dehio et al., 2001; Ying et al., 2002; Chomel et al., 2006; Bai et al., 2011). Bartonella bacteria exhibit extremely high genetic diversity with more than 40 Bartonella species and subspecies originating from different mammalian species having been described. Several species have been recognized as emerging pathogens and have been associated with illness in human (Welch et al., 1992; Daly et al., 1993; Anderson and Neuman, 1997; Kerkhoff et al., 1999; Breitschwerdt and Kordick, 2000; Roux et al., 2000; Boulouis et al., 2005; Eremeeva et al., 2007; Kosoy et al., 2008). Many Bartonella species are host-specific, suggesting the maintenance of species in independent enzootic cycles (Vayssier-Taussat et al., 2009). On the other hand, coinfections with multiple Bartonella species in the same host species or even in an individual host have been observed (Bai et al., 2011; Qurollo et al., 2014; Melo et al., 2023). Some Bartonella species originating from the same mammalian order are closely related and form a species complex (Kosoy et al., 2012). For example, Bartonella species that are related to ruminants, such as Bartonella melophagi and Bartonella schoenbuchensis, which originated from sheep and roe deer, respectively, were genetically very similar to each other and belong to the Bartonella bovis species complex based on their DNA sequences for gltA (Kosoy et al., 2012). Bartonella bacteria are transmitted by hematophagous arthropods, such as fleas, flies, and lice, each of which is responsible for the transmission of different Bartonella species (Higgins et al., 1996; Maurin and Raoult, 1996; Fournier et al., 2001; Battisti et al., 2015). Continued investigation of the biology and epidemiology of bacteria belonging to this genus is necessary to determine the broad geographical distribution, the wide spectrum of reservoir hosts, and the zoonotic potential of Bartonella species.

Reliable detection methods are needed to facilitate ecological and epidemiological studies of Bartonella species. For the detection of Bartonella species, conventional polymerase chain reaction (PCR) and real-time PCR have been widely applied (Ciervo and Ciceroni, 2004; Angelakis et al., 2009; Morick et al., 2009; Colborn et al., 2010; Diaz et al., 2012), followed by Sanger sequencing to allow species identification (Šlapeta and Šlapeta, 2016; Zouari et al., 2017). Because Sanger sequencing only sequences one product, a PCR for amplifying different products needs to be performed separately to produce singular PCR amplicons to enable downstream sequencing. Moreover, if multiple strains are coinfecting a sample, Sanger sequencing may not yield clean and interpretable sequences. The traditional approach can be tedious, can be time- and reagent-consuming, and requires large volumes of DNA that can be problematic when dealing with very limited samples.

The application of innovative next-generation sequencing (NGS) techniques has solved these issues to a great extent and empowers scientists to conduct research in a rapid, accurate, and cost-effective manner. Compared with traditional PCR assays, NGS offers high sensitivity, offers increased specificity, and consumes fewer nucleic acids (Hojgaard et al., 2020). With increasing availability, NGS has become a popular tool to be used in a wide range of areas, from clinical microbiology to public health (Deurenberg et al., 2017; Hilt and Ferrieri, 2022). Recently, researchers have applied NGS for studies of Bartonella species in rodents and fleas (Gutiérrez et al., 2014; Himsworth et al., 2020; Power et al., 2021). Target gltA was used for the detection of Bartonella species in these studies. Power et al. (2021) included ssrA in addition to gltA in their study, with each of the two targets being amplified in a separate PCR reaction.

Owing to the extremely high genetic diversity within the Bartonella genus, using one gene target to detect all Bartonella species is challenging. Thus, a failure in detecting all Bartonella species may be due to solely relying on one genetic target. On the other hand, because of the close genetic similarity between some Bartonella species, especially those falling in the same species complex (Kosoy et al., 2012), using one genetic target to differentiate such species may result in misidentification. Therefore, the sequence of a second target should be provided for confirmation. Furthermore, molecular detection methods should be applicable for a diverse array of specimen types, such as arthropods and mammalian blood and organs. Due to inhibitory effects, a target may work well for a certain tissue type but become less efficient for other specimen types. Inclusions of multiple targets in an assay will increase the success of detecting the presence of Bartonella species and provide robust confirmation of the identity of specific Bartonella species by having multiple target sequences.

In the present study, we developed a quadruplex PCR amplicon next-generation sequencing assay using the Illumina MiSeq platform to detect and differentiate between each Bartonella species. Four gene targets, namely, gltA, groEL, rpoB, and ssrA, were amplified simultaneously in a single PCR reaction and sequenced on the same run on the MiSeq. These targets are considered reliable tools for distinguishing Bartonella species and have been frequently used in conventional PCR or real-time PCR assays (Renesto et al., 2001; Zeaiter et al., 2002; La Scola et al., 2003; Diaz et al., 2012; Bai et al., 2017; Poofery et al., 2022). Our objective was to obtain Bartonella-specific sequences for at least two targets as confirmation for the differentiation of a Bartonella species using the assay. In the study, we (1) compared the capabilities of the four targets to detect and differentiate Bartonella species when used individually or collectively by singular PCR amplicon sequencing or quadruplex PCR amplicon sequencing, (2) assessed the sensitivity and specificity of the quadruplex PCR amplicon sequencing, (3) examined the quadruplex PCR amplicon sequencing assay for its ability to discriminate co-occurring Bartonella species by testing DNA mixed from different Bartonella species to simulate coinfections; and (4) evaluated the performance of the quadruplex PCR amplicon sequencing assay on different naturally infected specimens by testing DNA derived from the field-collected rats and lice.

Materials and methods

Gene selection and primers

To identify primers for the assay, we screened 19 pairs of primers targeting 16S rRNA, ftsZ, gltA, groEL, hbpA, nuoG, ribC, rpoB, ssrA, and ITS. Primers were designed using PrimerQuest™ Tool within Integrated DNA Technologies (https://www.idtdna.com/SciTools) or primer-BLAST program within NCBI [Primer designing tool (nih.gov)] or adapted from previously published assays (Relman et al., 1990; Norman et al., 1995; Birtles and Raoult, 1996; Zeaiter et al., 2002; Maggi and Breitschwerdt, 2005; Morick et al., 2009; Colborn et al., 2010; Diaz et al., 2012; Johnson et al., 2013; Oksi et al., 2013). Each primer pair was tested individually using the NGS sequencing. Sequences were obtained for all of the tested Bartonella species with four pairs of the primers, including 16S rRNAs (P12E and P12B), gltA (BhCS781.p and BhCS1137.n), groEL (groEL_1F and groEL_1R), and ssrA (primers ssrA_F and ssrA_R), and 23 sequences were obtained from the 24 tested Bartonella species with rpoB (prAPT0244 and prAPT0245). Sequence analysis showed that these sequences of each target were unique for each Bartonella species except for the 16S rRNA sequences, which were found to be identical for some species, suggesting that the 16S rRNA primers were not specific. Other primer pairs amplified/identified fewer Bartonella species (Supplementary Table S1). Based on the evaluation, the abovementioned four pairs of primers that amplify Bartonella-specific regions on gltA, groEL, rpoB, and ssrA, respectively, were selected for developing the quadruplex PCR amplicon sequencing assay (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Genes and the primer sequences (with the Illumina overhand adapter sequences) used for the quadplex PCR amplicon sequencing assay.

Definition for the detection and differentiation of Bartonella species

Two criteria were used for the definition: the presumptive presence of Bartonella species is confirmed if sequences of only one of the four targets were obtained; differentiation of Bartonella species is confirmed if sequences of at least two of the four targets were obtained.

DNA template of Bartonella species and non-Bartonella species

A total of 24 Bartonella species (Table 2) were included for assay development. All Bartonella cultures were obtained from collections at the CDC's Bacterial Diseases Branch in Fort Collins, CO. Genomic DNA was prepared by heating a heavy suspension of microorganisms for 15 min at 95°C followed by centrifugation of the lysed cells for 1 min at 8,000 rpm. The supernatant was transferred to a clean centrifuge tube to be used as the DNA template. The DNA concentration of each template was measured using Invitrogen™ Qubit™ 4 Fluorometer dsDNA HS Assay (Fisher Scientific, Pittsburgh, PA), and 10-fold dilutions were prepared from 20 pg/μl to 0.002 fg/μl for use in different experiments. The Bartonella species included in this study are the following: Bartonella alsatica, B. bovis, Bartonella clarridgeiae, Bartonella doshiae, Bartonella elizabethae, Bartonella grahamii, Bartonella henselae, Bartonella japonica, Bartonella koehlerae, B. melophagi, Bartonella phoceensis, Bartonella quintana, Bartonella rattimassiliensis, Bartonella rochalimae, B. schoenbuchensis, Bartonella silvicola, Bartonella tamiae, Bartonella taylorii, Bartonella tribocorum, Bartonella vinsonii subsp. arupensis, B. vinsonii subsp. berkhoffii, B. vinsonii subsp. vinsonii, Bartonella volans, and Bartonella washoensis.

TABLE 2
www.frontiersin.org

Table 2. Bartonella species used for assay development with Illumina sequencing results of each target with singular PCR amplicon sequencing and quadruplex PCR amplicon sequencing.

DNAs from 19 different bacterial species that might be encountered in the field-collected vector or host specimens were used for specificity testing of the assay: Anaplasma phagocytophilum, Bacillus anthracis, Borrelia burgdorferi, Borrelia mayonii, Borrelia miyamotoi, Brucella canis, Burkholderia cenocepacia, Escherichia coli, Francisella tularensis, Leptospira interrogans, Listeria monocytogenes, Rickettsia sibirica, Salmonella enterica, Staphylococcus aureus, Toxoplasma gondii, Trypanosoma cruzi, Yersinia pestis, Yersinia enterocolitica, and Yersinia pseudotuberculosis. DNA templates of the abovementioned species were obtained from BEI Resources or the CDC Bacterial Diseases Branch.

Singular PCR amplicon sequencing and quadruplex PCR amplicon sequencing

To evaluate the performance of the assay, the four pairs of primers were tested individually and collectively by singular PCR amplicon sequencing and quadruplex PCR amplicon sequencing. The procedures mainly include four steps: (1) primary PCR amplification with one or four pairs of the primers and purification; (2) indexing PCR and purification; (3) pooling, purification, quantification, and normalization; and (4) library denaturing and sample loading on Illumina Miseq (Illumina, San Diego, CA) to start sequencing. The detailed procedures can be referred from the previously published study by Hojgaard et al. (2020) and manufacturer's protocol with some modifications. A brief description is provided below.

Primary PCR: PCR reaction mixture were set up using one pair of primers or four pairs of primers. The reaction mixture contained 12.5 μl of Multiplex TEMPase 2x Master Mix (Amerigo Scientific, Central Islip, NY), forward and reverse primers (one pair or four pairs) each at a final concentration of 300 nM, 10 pg of DNA template, and nuclease-free water until the volume of 25 μl is achieved. Three replicates of each DNA template were tested in both singular PCR and quadruplex PCR. Targeted sequences must be obtained from all three replicates to finally call a sample positive. The PCR was carried out on a C1000 Touch thermal cycler (Bio-Rad, Hercules, CA) with the following conditions: denaturation at 95°C for 15 min, followed by 35 cycles of 95°C for 30 s, 58°C for 30 s, and 64°C for 60 s, and ending with incubation for 5 min at 72°C. Positive and negative controls were included in each PCR run to evaluate performance and detect contamination. Following amplification, the PCR products were purified with AMpure XP magnetic beads (Beckman Coulter, Brea, CA) and washed with 80% ethanol on a KingFisher Flex purification system (Thermo Fisher Scientific, Waltham, MA).

Index PCR: The reaction mixture contained 25 μl of Multiplex TEMPase 2x Master Mix (Amerigo Scientific, Central Islip, NY), 5 μl each of dual unique barcoded indices (Nextera XT Index Kit V2, Illumina, San Diego, CA), 5 μl purified PCR products from the primary PCR, and nuclease-free water until the volume of 50 μl was achieved. The PCR was carried out on a C1000 Touch Thermal Cycler (Bio-Rad, Hercules, CA) with the following conditions: denaturation at 98°C for 15 min followed by 12 cycles of 98°C for 20 s, 55°C for 20 s, and 68°C for 60 s, ending with an incubation of 5 min at 68°C. Following the indexing, the PCR products were purified with MagSi-DNA allround magnetic beads (BOCA Scientific, Westwood, MA), sodium acetate (3 M), and isopropanol and washed with 80% ethanol on a KingFisher Flex purification system (Thermo Fisher Scientific, Waltham, MA).

Pooling, purification, and quantification and normalization: the samples were indexed after the index PCR. All indexed samples were pooled, then purified with AMpure XP magnetic beads (Beckman Coulter, Brea, CA), and washed with 80% ethanol. Then, the concentration was measured using Invitrogen™ Qubit™ 4 Fluorometer dsDNA HS Assay (Fisher Scientific, Pittsburgh, PA). The final concentration was quantified and normalized based on the amplicon size.

Denaturing and sample loading on Miseq Illumina to start sequencing: the library from the previous step was denatured with 0.1 N NaOH and then heat denatured. PHIX was added as an internal control. The library was loaded into an MiSeq Nano v2 (500 cycles) reagent cassette (Illumina, San Diego, CA) to start sequencing on an Illumina Miseq instrument (Illumina, San Diego, CA).

Sensitivity and specificity assessment

Sensitivity and specificity were tested to assess the performance of the quadruplex PCR amplicon sequencing assay. DNA of B. grahamii and B. koehlerae with concentrations of 100 pg−0.01 fg was tested to estimate the sensitivity. The reasons we picked B. grahamii and B. koehlerae were because the two species were among those that worked well with both singular and quadruplex sequencing, and animal reservoirs of the two species (rodents and cats, respectively) are commonly studied by researchers. Three replicates of each concentration were tested. All samples with different concentrations were pooled, purified, final concentration normalized, and sequenced. The lowest dilution that was able to generate targeted sequences in all three replicates in the quadruplex sequencing was considered the limit of detection.

The specificity of the assay was assessed by testing high concentrations (500 pg) of DNA from 19 non-Bartonella bacterial species listed in the subsection “DNA template of Bartonella species and non-Bartonella species.” Three replicates of each DNA template were tested. Bartonella sequences must be absent in any of the three replicates of any sample to be called specific.

Application of the assay for the detection and differentiation of co-occurring Bartonella species

Because different Bartonella species may co-occur in the same host species or in the same individual (Bai et al., 2011; Qurollo et al., 2014; Melo et al., 2023), we evaluated the quadruplex sequencing assay for its ability to accurately identify co-occurring Bartonella species by testing DNA mixed from different Bartonella species to simulate coinfections. The mixed DNA included (1) B. henselae and B. koehlerae, both of which are cat-associated and can coinfect the same individual (Qurollo et al., 2014; Melo et al., 2023), and (2) B. henselae, B. koehlerae, and B. grahamii (rodent-associated), which was added to increase the degree of difficulty for species resolution. Three replicates of each mixed DNA template were tested with 10 pg DNA of each Bartonella species. Targeted sequences must be obtained from all three replicates to finally call a sample positive.

Application of the assay for testing of field samples

To evaluate the utility of the quadruplex sequencing assay in naturally infected specimens, we tested DNA extracted from field-collected samples. Specimens included human body lice (Pediculus humanus humanus, n = 40 pools, 10 lice/pool). All lice first were tested by conventional PCR targeting gltA followed by Sanger sequencing for species identification using a previously described assay (Norman et al., 1995). The quadruplex sequencing was then performed and compared to the conventional PCR results. We also tested spleens from Norway rats (Rattus norvegicus, n=54). The rat spleens were partial samples from a previous study, which reported B. tribocorum in these rats with a prevalence range of 0–60% through blood culturing (Himsworth et al., 2015). All lice DNA and rat spleen DNAs were obtained from collections at the CDC's Bacterial Diseases Branch.

Bioinformatics analysis

After sequencing was completed, the raw sequences were analyzed with a custom Nextflow bioinformatics pipeline described by Osikowicz et al. (2023) and is publicly available on GitHub [CDCgov/tick_surveillance (github.com)] with detailed instructions. Briefly, the raw sequences, primer information, reference sequences, and sample data were input to the pipeline. The pipeline first performed quality control analysis with FastQC version 0.11 (Andrews, 2010) and primer trimming with Cutadapt version 3.5 (Martin, 2011). Only reads with the appropriate primer combinations were trimmed and proceeded to the next step. Then, DADA2 version 1.18 (Callahan et al., 2016) performed error correction, removed chimeric sequences, merged paired reads, grouped amplicon sequence variants (ASV), and calculated ASV abundance. The observed ASVs were then aligned to reference sequences with BLASTn version 2.10.0 (Altschul et al., 1990; Camacho et al., 2009). The minimum read cutoffs for a sample to be considered positive was set to be 50 reads. A 90% sequence similarity and 90% minimum sequence alignment length was used to align the observed ASVs to the reference sequences. Sequences that represent different Bartonella species for each target were obtained from the GenBank database and used as reference sequences. If a Bartonella species sequence for a target was not available in GenBank, then the sequence obtained from this study was used as a reference sequence. Finally, a summary report was generated and any unassigned ASVs were searched against the NCBI nucleotide database with BLASTn, and then unique sequences were submitted to GenBank.

All sequences generated from the current work for each target were further compared between themselves using the Clustal V program within the MegAlign module of DNASTAR Lasergene 17 (DNASTAR, Madison, WI). A phylogenetic tree was constructed for each gene using the neighbor-joining method to compare the genetic similarity of the Bartonella species.

Results

Singular PCR amplicon sequencing

In the singular PCR amplicon sequencing setting in which DNA templates were amplified with one pair of the primers in the primary PCR reaction, amplicon sequences of gltA, groEL, and ssrA were obtained for all 24 Bartonella species in all three replicates and amplicon sequences of rpoB were obtained for 23 of the 24 Bartonella species except for B. clarridgeiae in all three replicates (Table 2). The pipeline alignment analysis with the reference sequences demonstrated each amplicon sequence for each of all four targets obtained in the present study, which was of the expected Bartonella species. For B. volans, the rpoB sequence was identical to the reference (EU294520). There was no reference available for gltA, groEL, and ssrA, and thus, the sequences for gltA, groEL, and ssrA obtained in the current work were novel and were deposited in GenBank with accession numbers OR072638, OR072639, and OR072640, respectively.

Phylogenetic analysis of the sequences showed that all tested Bartonella species were separated by each target with genetic divergence of 1.8%−25.6%, 3.8%−24.3%, 1.8%−22.4%, and 1.2%−16.6%, for gltA, groEL, rpoB, and ssrA, respectively (Figures 1AD). Bartonella melophagi and B. schoenbuchensis were close with smaller divergence by gltA, rpoB, and ssrA; groEL sequences showed more divergence (3.8%).

FIGURE 1
www.frontiersin.org

Figure 1. Phylogenetic relationships of the 24 Bartonella species tested in this study based on partial sequences of gltA (A), groEL (B), rpoB (C), and ssrA (D). The Bartonella species were separated by each target with genetic divergence of 1.8%−25.6%, 3.8%−24.3%, 1.8%−22.4%, and 1.2%−16.6%, for gltA, groEL, rpoB, and ssrA, respectively. Bartonella melophagi and Bartonella schoenbuchensis, belonging to the Bartonella bovis species complex, had smaller divergence between themselves. The groEL sequences better separated the two species with higher divergence (3.8%). The phylogenetic tree was constructed by the neighboring-joining method, and bootstrap values were calculated with 1,000 replicates.

Quadruplex PCR amplicon sequencing

In the quadruplex PCR amplicon sequencing setting in which DNA templates were amplified with all four pairs of primers simultaneously in the primary PCR reaction, of the 24 tested Bartonella species, amplicon sequences of gltA, ssrA, groEL, and rpoB were obtained for 24, 22, 17, and 16 species, respectively, in three of the three replicates (Table 2). The median numbers of normalized reads per sample were 615 (range 51–1,374), 270 (range 54–864), 303 (range 53–748), and 103 (range 50–378) for gltA, ssrA, groEL, and rpoB, respectively. The ssrA sequences were not obtained for two Bartonella species (B. phoceensis and B. tribocorum); the groEL sequences were not obtained for seven Bartonella species (B. clarridgeiae, B. quintana, B. rochalimae, B. tamiae, B. vinsonii subsp. arupensis, B. vinsonii subsp. berkhoffii, and B. vinsonii subsp. vinsonii); and the rpoB sequences were not obtained for eight Bartonella species (B. clarridgeiae, B. elizabethae, B. japonica, B. rattimassiliensis, B. tamiae, B. taylorii, B. volans, and B. washoensis; Table 2). These results suggested that gltA and ssrA work better than groEL, followed by rpoB in the quadruplex PCR amplicon sequencing.

Some amplicon sequences were obtained from one or two of the three triplicates for some Bartonella species/gene targets within the quadruplex amplicon sequencing. Because we only counted sequences which were obtained in all three replicates, those with one or two of the three replicates were still considered negative.

Overall, using the quadruplex amplicon sequencing with targets gltA, groEL, rpoB, and ssrA, all 24 Bartonella species each were correctly classified with confirmation by at least two target sequences (our criterion by definition). Among those, nine Bartonella species were identified with all four targets; 13 Bartonella species were identified with three targets; and two Bartonella species were identified with two targets (Table 2).

Sensitivity and specificity testing

Testing DNA of B. grahamii and B. koehlerae with concentrations of 100 pg−0.01 fg using the quadruplex amplicon sequencing assay, specific sequences for all four targets were obtained in all three replicates with DNA concentrations ≥1 fg/reaction for each target for both B. grahamii and B. koehlerae. The limit of detection was determined as 1 fg/reaction for the two species, which also was considered the limit of detection of the assay.

For specificity testing, no Bartonella sequences were observed from any of the 19 non-Bartonella bacterial species (three replicates each) using the quadruplex amplicon sequencing. Gel electrophoresis also showed no presence of Bartonella amplicons for each target (Supplementary Figures S1S4).

Application of the assay for the detection and differentiation of co-occurring Bartonella species

Using the quadruplex sequencing assay to screen the DNA mix of B. henselae and B. koehlerae, both B. henselae and B. koehlerae were successfully discriminated by all four targets with species-specific sequences obtained in all three replicates. From the DNA mix of B. henselae, B. koehlerae, and B. grahamii, the three Bartonella species were discriminated by rpoB and ssrA with species-specific sequences obtained in all three replicates. gltA sequences specific to B. henselae and B. grahamii were obtained in all three replicates but not for B. koehlerae. groEL sequences specific to B. henselae and B. koehlerae were obtained in all three replicates but not for B. grahamii (Table 3). Although not all targets worked, all of the three Bartonella species known in the DNA mix were accurately identified with sequence confirmation by at least three targets, which met or surpassed our criterion of species differentiation.

TABLE 3
www.frontiersin.org

Table 3. Discrimination of co-occurred Bartonella species using the quadruplex PCR amplicon sequencing.

Application of the assay for testing of field samples

Testing of DNA obtained from lice: conventional PCR targeting gltA showed that all lice (n = 40 pools, 10 lice/pool) were positive for Bartonella and was identified as B. quintana by sequencing. Using the quadruplex amplicon sequencing assay, we obtained sequences of gltA, rpoB, and ssrA from all 40 pools and all sequences were identified correctly as B. quintana. No groEL sequences were obtained. This was expected as the groEL primers did not amplify B. quintana DNA derived from culture (Table 4). The results using the quadruplex sequencing assay are in accordance with that.

TABLE 4
www.frontiersin.org

Table 4. Performance comparison of the quadruplex PCR amplicon sequencing on Bartonella quintana- and B. triborcorum-DNA derived from different sample types.

Testing of DNA obtained from rat spleens: using the quadruplex amplicon sequencing assay, 54 DNA extracts derived from rat spleens were tested for Bartonella species. Sequences for gltA and groEL were obtained from 33 (61.1%) samples. All sequences of gltA and groEL were identified as B. tribocorum. The results were consistent with findings reported in an earlier study on these rats through blood culturing (Himsworth et al., 2015). No ssrA sequences were obtained. This was expected because the ssrA primers did not amplify B. tribocorum DNA derived from culture. However, no sequences of rpoB were obtained from the rat spleen DNA as well, suggesting a difference between rat spleen-derived DNA and culture-derived DNA (Table 4).

Discussion

The significant genetic diversity within the Bartonella genus presents a challenge for molecular detection of all Bartonella species using a single target. PCR may fail because of primer binding site polymorphisms. In addition, the genetic similarity between some Bartonella species such as those within a species complex makes them indistinguishable using a single target because of the limited genetic divergence. Using multiple targets can increase the success of detection and differentiation of Bartonella species. Here we developed a quadruplex PCR amplicon next generation sequencing assay by incorporating gltA, groEL, rpoB, and ssrA using the Illumina MiSeq platform for detection and differentiation of Bartonella species. None of the included reference species that might be found in field-collected specimens were falsely classified as Bartonella in our assay and each of the detected Bartonella species were correctly assigned to species. The assay had a low limit of detection identified as 1 fg/reaction based on the testing of B. grahamii and B. koehlerae. This was very comparable to those reported in real-time PCR (Diaz et al., 2012). Nevertheless, the sensitivity may vary for different Bartonella species.

The four targets used in the assay were evaluated for their capability to differentiate Bartonella species used in singular amplicon sequencing or quadruplex amplicon sequencing. It was observed that the efficiency of the targets differed when used individually (singular amplicon sequencing) or collectively (quadruplex amplicon sequencing). When used individually, all Bartonella species were detected by the four targets, except for B. clarridgeiae, which was not detected by rpoB, which could be related to the sequence variants within primer binding site. These targets became less efficient in the quadruplex amplicon sequencing. For example, B. quintana groEL sequences were detected when used in singular amplicon sequencing but not detected in quadruplex amplicon sequencing. Similarly, B. tribocorum ssrA sequences were detected in singular amplicon sequencing but not in quadruplex amplicon sequencing. Overall, gltA and ssrA were more efficient than groEL and rpoB in the quadruplex amplicon sequencing. When amplifying multiple amplicons simultaneously in a single PCR, the amplification efficiency of each of the targets may be affected by different factors such as primer interference, product size, primer concentration, and cycling conditions. We optimized cycling conditions in this study (data not shown) but used the standard parameters for others. Additional optimization on different factors (such as primer concentration) may improve the performance of the assay. Nevertheless, all 24 Bartonella species tested in the study were successfully differentiated using the quadruplex amplicon sequencing assay with confirmation of sequences for at least two targets that met our criterion of species differentiation. In fact, among the 24 tested Bartonella species, except for two species, that were differentiated with only two targets, all others were differentiated with four (9/24) or three targets. Some amplicon sequences were obtained from one or two of the three triplicates for some Bartonella species/gene targets with the quadruplex amplicon sequencing, but these sequences were still considered negative since we only counted those with sequences obtained in all three replicates. When only one or two of the three replicates yield a positive result, retesting with singular amplicon sequencing assays might build confidence in calling a sample positive.

Using the quadruplex amplicon sequencing assay, Bartonella species that are extremely genetically similar were better differentiated with additional data. Among the Bartonella species we tested, B. melophagi and B. schoenbuchensis, originating from sheep and roe deer, respectively, belong to the ruminant-associated B. bovis species complex (Kosoy et al., 2012). The two Bartonella species were very closely related by gltA, rpoB, and ssrA (1.2%−1.8% divergence). It would be very difficult to define them as different species according to La Scola et al. (2003), who proposed using 96% sequence similarity to define species. The groEL sequences, however, showed 3.8% divergence between the two species. This helped to differentiate the two species. Most importantly, the original description of the two species was linked mainly to their host association (Dehio et al., 2001; Kosoy et al., 2016) rather than the genetic differences.

Co-occurrence of multiple Bartonella species in their hosts has been reported (Bai et al., 2011; Qurollo et al., 2014; Melo et al., 2023). We mixed DNA from different Bartonella species mimicking the natural occurrence of coinfections. Testing the DNA mix showed that co-occurring Bartonella species were accurately identified using the quadruplex amplicon sequencing assay, although the efficiency decreased when more numbers of Bartonella species are present.

We tested DNA extracted from human body lice and spleens of Norway rats using the quadruplex amplicon sequencing assay to evaluate its performance in naturally infected specimens. Bartonella quintana was detected in all lice with sequence confirmation by three targets except for groEL. The other three targets showed consistent efficiency in the testing of lice- and culture-derived B. quintana DNAs. From the rats, B. tribocorum was detected in 61.1% of the samples with sequence confirmation by gltA and groEL. The prevalence was comparable with an earlier report on these rats through blood culturing (Himsworth et al., 2015). Interestingly, in the quadruplex amplicon sequencing, rpoB primers did not detect Bartonella DNA in any of the rat spleen samples. This was surprising because rpoB worked well when testing culture-derived B. tribocorum DNA. When applying a molecular method for pathogen detection, inhibition is often a problem, which sometimes causes a false-negative detection (Schrader et al., 2012). The inhibiting substances may be present in the analyzed samples and may affect the sensitivity of an assay (Kaneko et al., 2007; Nkouawa et al., 2010). Previous studies have reported the presence of inhibiting substances from DNAs of mouse liver, spleen, and lung in PCR (Feng et al., 2018; Bai et al., 2022). Our results also may suggest the presence of inhibiting substances from spleen-derived DNAs that have occurred in the testing. However, the inhibition seemed only to affect rpoB but not groEL or gltA, highlighting the advantage of a multi-target assay. A strategy to remove the inhibiting effects may be adapted for better outcomes. Nevertheless, with sequence confirmation by gltA and groEL, we were able to detect and differentiate B. tribocorum in the rats using the quadruplex amplicon sequencing assay.

In conclusion, we have developed a highly sensitive and specific quadruplex PCR amplicon sequencing assay using the NGS technology for the detection and differentiation of Bartonella species. Because the four targets varied in efficiency for different Bartonella species, knowing what Bartonella species to expect when applying the assay would be helpful. Our study also provided valuable insights into the application of the assay for different sample type, which highlights the need to evaluate assay performance when testing alternative sample types.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found here: National Center for Biotechnology Information (NCBI) GenBank, https://www.ncbi.nlm.nih.gov/genbank/, OR072638, OR072639, and OR072640.

Author contributions

YB conceived, designed, and performed the experiment, analyzed the data, and wrote the paper. LO analyzed the data and reviewed the paper. AH designed and reviewed the paper. RE supervised, reviewed, and edited the paper. All authors contributed to the article and approved the submitted version.

Acknowledgments

The following reagents were obtained through the NIH Biodefense and Emerging Infections Research Resources Repository, NIAID, NIH: Genomic DNA from B. anthracis, Strain Ty2, NR-9544; Genomic DNA from B. cenocepacia, Strain MA00-2987, NR-36042; Genomic DNA from E. coli, Strain KM14S, NR-2647; Genomic DNA from F. tularensis subsp. novicida, Strain Sterne BA781, NR-3028; Genomic DNA from L. monocytogenes, Strain TCH1516, NR-13354; Genomic DNA from S. enterica subsp. enterica, Strain FSL J2-064, NR-543; Genomic DNA from S. aureus, Strain VEG, NR-12252; Genomic DNA from T. gondii, Strain LMG 16656, NR-33510; and Genomic DNA from Yersinia enterocolita, Strain Billups-1803-68, NR-3064.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Author disclaimer

The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, and the Centers for Disease Control and Prevention.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1243471/full#supplementary-material

Supplementary Table S1. Genes and the primer sequences (with the Illumina overhand adapter sequences) evaluated and sequencing results.

Supplementary Figure S1. Gel electrophoresis of gltA, Number 1–24 were the 24 Bartonella species (listed in Table 2) and number 25–43 were the 19 non-Bartonella species (listed in Section “DNA template of Bartonella species and non-Bartonella species) tested in the study. All Bartonella species was amplified and none of the non-Bartonella species was amplified.

Supplementary Figure S2. Gel electrophoresis of ssrA. Number 1–24 were the 24 Bartonella species (listed in Table 2) and number 25–43 were the 19 non-Bartonella species (listed in Section “DNA template of Bartonella species and non-Bartonella species) tested in the study. All Bartonella species were amplified and none of the non-Bartonella species was amplified.

Supplementary Figure S3. Gel electrophoresis of groEL, Number 1–24 were the 24 Bartonella species (listed in Table 2) and number 25–43 were the 19 non-Bartonella species (listed in Section “DNA template of Bartonella species and non-Bartonella species) tested in the study. All Bartonella species was amplified and none of the non-Bartonella species was amplified.

Supplementary Figure S4. Gel electrophoresis of rpoB, Number 1–24 were the 24 Bartonella species (listed in Table 2) and number 25–43 were the 19 non-Bartonella species (listed in Section “DNA template of Bartonella species and non-Bartonella species) tested in the study. All Bartonella species but B. clarridgeiae (#23) was amplified and none of the non-Bartonella species was amplified.

References

Altschul, S. F., Gish, W., Miller, W., Myers, E. W., and Lipman, D. J. (1990). Basic local alignment search tool. J. Mol. Biol. 215, 403–410. doi: 10.1016/S0022-2836(05)80360-2

CrossRef Full Text | Google Scholar

Anderson, B., and Neuman, M. (1997). Bartonella spp. as emerging human pathogens. Clin. Microbiol. Rev. 10, 203–219. doi: 10.1128/CMR.10.2.203

PubMed Abstract | CrossRef Full Text | Google Scholar

Andrews, S. (2010). FastQC - A Quality Control Tool for High Throughput Sequence data. Cambridge: Babraham Bioinformatics.

Google Scholar

Angelakis, E., Khamphoukeo, K., Grice, D., Newton, P. N., Roux, V., Aplin, K., et al. (2009). Molecular detection of Bartonella species in rodents from the Lao PDR. Clin. Microbiol. Infect. 15, 95–97. doi: 10.1111/j.1469-0691.2008.02177.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Y., Kosoy, M., Recuenco, S., Alvarez, D., Moran, D., Turmelle, A., et al. (2011). Bartonella spp. in bats, Guatemala. Emerg. Infect. Dis. 17, 1269–1272. doi: 10.3201/eid1707.101867

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Y., Osikowicz, L. M., Kosoy, M. Y., Eisen, R. J., Atiku, L. A., Mpanga, J. T., et al. (2017). Comparison of zoonotic bacterial agents in fleas collected from small mammals or host-seeking fleas from a Ugandan region where plague is endemic. mSphere 2, e00402-17. doi: 10.1128/mSphere.00402-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Y., Rizzo, M. R., Parise, C., Maes, S., and Eisen, R. J. (2022). A novel loop-mediated isothermal amplification assay for rapid detection of Yersinia pestis. Front. Microbiol. 13, 863142. doi: 10.3389/fmicb.2022.863142

PubMed Abstract | CrossRef Full Text | Google Scholar

Battisti, J. M., Lawyer, P. G., Minnick, M. F., and Bates, P. A. (2015). Colonization of Lutzomyia verrucarum and Lutzomyia longipalpis sand flies (Diptera: Psychodidae) by Bartonella bacilliformis, the etiologic agent of Carrión's disease. PLOS. Neg. Trop. Dis. 9, e0004128. doi: 10.1371/journal.pntd.0004128

PubMed Abstract | CrossRef Full Text | Google Scholar

Birtles, R. J., and Raoult, D. (1996). Comparison of partial citrate synthase gene (gltA) sequences for phylogenetic analysis of Bartonella species. Int. J. Syst. Bacteriol. 46, 891–897. doi: 10.1099/00207713-46-4-891

PubMed Abstract | CrossRef Full Text | Google Scholar

Boulouis, H. J., Chang, C. C., Henn, J. B., Kasten, R. W., and Chomel, B. B. (2005). Factors associated with the rapid emergence of zoonotic Bartonella infections. Vet. Res. 36, 383–410. doi: 10.1051/vetres:2005009

PubMed Abstract | CrossRef Full Text | Google Scholar

Breitschwerdt, E. B., and Kordick, D. L. (2000). Bartonella infection in animals: carriership, reservoir potential, pathogenicity, and zoonotic potential for human infection. Clin. Microbiol. Rev. 13, 428–438. doi: 10.1128/CMR.13.3.428

PubMed Abstract | CrossRef Full Text | Google Scholar

Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., Holmes, S. P., et al. (2016). DADA2: high-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583. doi: 10.1038/nmeth.3869

PubMed Abstract | CrossRef Full Text | Google Scholar

Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., et al. (2009). BLAST+: architecture and applications. BMC Bioinformatics 10, 421. doi: 10.1186/1471-2105-10-421

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, C. C., Chomel, B. B., Kasten, R. W., Heller, R. M., Kocan, K. M., Ueno, H., et al. (2000). Bartonella spp. isolated from wild and domestic ruminants in North America. Emerg. Infect. Dis. 6, 306–311. doi: 10.3201/eid0603.000313

PubMed Abstract | CrossRef Full Text | Google Scholar

Chomel, B. B., Kasten, R. W., Henn, J. B., and Molia, S. (2006). Bartonella infection in domestic cats and wild felids. Ann. N. Y. Acad. Sci. 1078, 410–415. doi: 10.1196/annals.1374.080

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciervo, A., and Ciceroni, L. (2004). Rapid detection and differentiation of Bartonella spp. by a single-run real- time PCR. Mol. Cell. Probes. 18, 307–312. doi: 10.1016/j.mcp.2004.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Colborn, J. M., Kosoy, M. Y., Motin, V. L., Telepnev, M. V., Valbuena, G., Myint, K. S., et al. (2010). Improved detection of Bartonella DNA in mammalian hosts and arthropod vectors by real-time PCR using the NADH dehydrogenase gamma subunit (nuoG). J. Clin. Microbiol. 48, 4630–4633. doi: 10.1128/JCM.00470-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Daly, J. S., Worthington, M. G., Brenner, D. J., Moss, C. W., Hollis, D. G., Weyant, R. S., et al. (1993). Rochalimaea elizabethae sp. nov. isolated from a patient with endocarditis. J. Clin. Microbiol. 31, 872–881. doi: 10.1128/jcm.31.4.872-881.1993

PubMed Abstract | CrossRef Full Text | Google Scholar

Dehio, C., Lanz, C., Pohl, R., Behrens, P., Bermond, D., Piémont, Y., et al. (2001). Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer. Int. J. Syst. Evol. Microbiol. 51, 1557–1565. doi: 10.1099/00207713-51-4-1557

PubMed Abstract | CrossRef Full Text | Google Scholar

Deurenberg, R. H., Bathoorn, E., Chlebowicz, M. A., Couto, N., Ferdous, M., García-Cobos, S., et al. (2017). Application of next generation sequencing in clinical microbiology and infection prevention. J. Biotechnol. 243, 16–24. doi: 10.1016/j.jbiotec.2016.12.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Diaz, M. H., Bai, Y., Malania, L., Winchell, J. M., and Kosoy, M. Y. (2012). Development of a novel genus-specific real-time PCR assay for detection and differentiation of Bartonella species and genotypes. J. Clin. Microbiol. 50, 1645–1649. doi: 10.1128/JCM.06621-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Eremeeva, M. E., Gerns, H. L., Lydy, S. L., Goo, J. S., Ryan, E. T., Mathew, S. S., et al. (2007). Bacteremia, fever, and splenomegaly caused by a newly recognized Bartonella species. N. Engl. J. Med. 256, 2381–2387. doi: 10.1056/NEJMoa065987

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, N., Zhou, Y., Fan, Y., Bi, Y., Yang, R., Zhou, Y., et al. (2018). Yersinia pestis detection by loop-mediated isothermal amplification combined with magnetic bead capture of DNA. Braz. J. Microbiol. 49, 128–137. doi: 10.1016/j.bjm.2017.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Fournier, P. E., Minnick, M. F., Lepidi, H., Salvo, E., and Raoult, D. (2001). Experimental model of human body louse infection using green fluorescent protein-expressing Bartonella quintana. Infect. Immun. 69, 1876–1879. doi: 10.1128/IAI.69.3.1876-1879.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutiérrez, R., Morick, D., Cohen, C., Hawlena, H., and Harrus, S. (2014). The effect of ecological and temporal factors on the composition of Bartonella infection in rodents and their fleas. ISME. J. 8, 1598–1608. doi: 10.1038/ismej.2014.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Heller, R., Artois, M., Xemar, V., De Briel, D., Gehin, H., Jaulhac, B., et al. (1997). Prevalence of Bartonella henselae and Bartonella clarridgeiae in stray cats. J. Clin. Microbiol. 35, 1327–1331. doi: 10.1128/jcm.35.6.1327-1331.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Higgins, J. A., Radulovic, S., Jaworski, D. C., and Azad, A. F. (1996). Acquisition of the cat scratch disease agent Bartonella henselae by cat fleas (Siphonaptera: Pulicidae). J. Med. Entomol. 33, 490–495. doi: 10.1093/jmedent/33.3.490

PubMed Abstract | CrossRef Full Text | Google Scholar

Hilt, E., and Ferrieri, P. (2022). Next generation and other sequencing technologies in diagnostic microbiology and infectious diseases. Genes 13, 1566. doi: 10.3390/genes13091566

PubMed Abstract | CrossRef Full Text | Google Scholar

Himsworth, C. G., Bai, Y., Kosoy, M. Y., Wood, H., DiBernardo, A., Lindsay, R., et al. (2015). An investigation of Bartonella spp., Rickettsia typhi, and Seoul hantavirus in rats (Rattus spp.) from an inner-city neighborhood of Vancouver, Canada: is pathogen presence a reflection of global and local rat population structure? Vector. Borne. Zoonotic. Dis. 15, 21–26. doi: 10.1089/vbz.2014.1657

PubMed Abstract | CrossRef Full Text | Google Scholar

Himsworth, C. G., Byers, K. A., Fernando, C., Speerin, L., Lee, M. J., Hill, J., et al. (2020). When the sum of the parts tells you more than the whole: the advantage of using metagenomics to characterize Bartonella spp., infections in Norway rats (Rattus norvegicus) and their fleas. Front. Vet. Sci. 7, 584724. doi: 10.3389/fvets.2020.584724

PubMed Abstract | CrossRef Full Text | Google Scholar

Hojgaard, A., Osikowicz, L. M., Eisen, L., and Eisen, R. J. (2020). Evaluation of a novel multiplex PCR amplicon sequencing assay for detection of human pathogens in Ixodes ticks. Ticks. Tick. Borne. Dis. 11, 101504. doi: 10.1016/j.ttbdis.2020.101504

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, G., Ayers, M., McClure, S. C. C., Richardson, S. E., and Tellier, R. (2013). Detection and identification of Bartonella species pathogenic for humans by PCR amplification targeting the riboflavin synthase gene (ribC). J. Clin. Microbiol. 41, 1069. doi: 10.1128/JCM.41.3.1069-1072.2003

CrossRef Full Text | Google Scholar

Kaneko, H., Kawana, T., Fukushima, E., and Suzutani, T. (2007). Tolerance of loop-mediated isothermal amplification to a culture medium and biological substances. J. Biochem. Biophys. Methods 70, 499–501. doi: 10.1016/j.jbbm.2006.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerkhoff, F. T., Bergmans, A. M., van der Zee, A., and Rothova, A. (1999). Demonstration of Bartonella grahamii DNA in ocular fluids of patient with neuroretinitis. J. Clin. Microbiol. 37, 4034–4038. doi: 10.1128/JCM.37.12.4034-4038.1999

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosoy, M., Bai, Y., Enscore, R., Rizzo, M. R., Bender, S., Popov, V., et al. (2016). Bartonella melophagi in blood of domestic sheep (Ovis aries) and sheep keds (Melophagus ovinus) from the southwestern US: cultures, genetic characterization, and ecological connections. Vet Microbiol. 190, 43–49. doi: 10.1016/j.vetmic.2016.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosoy, M., Hayman, D. T., and Chan, K. S. (2012). Bartonella bacteria in nature: where does population variability end and a species start? Infect. Genet. Evol.12, 894–904. doi: 10.1016/j.meegid.2012.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosoy, M., Morway, C., Sheff, K. W., Bai, Y., Colborn, J., Chalcraft, L., et al. (2008). Bartonella tamiae sp. nov., a newly recognized pathogen isolated from human patients from Thailand. J. Clin. Microbiol. 46, 772–775. doi: 10.1128/JCM.02120-07

PubMed Abstract | CrossRef Full Text | Google Scholar

La Scola, B., Zeaiter, Z., Khamis, A., and Raoult, D. (2003). Gene-sequence-based criteria for species definition in bacteriology: the Bartonella paradigm. Trends. Microbiol. 11, 318–321. doi: 10.1016/S0966-842X(03)00143-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Maggi, R. G., and Breitschwerdt, E. B. (2005). Potential limitations of the 16S-23S rRNA intergenic region for molecular detection of Bartonella species. J. Clin. Microbiol. 43, 1171–1176. doi: 10.1128/JCM.43.3.1171-1176.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, M. (2011). Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17. doi: 10.14806/ej.17.1.200

CrossRef Full Text | Google Scholar

Maurin, M., and Raoult, D. (1996). Bartonella (Rochalimaea) quintana infections. Clin. Microbiol. Rev. 9, 273–292. doi: 10.1128/CMR.9.3.273

PubMed Abstract | CrossRef Full Text | Google Scholar

Melo, T. B., Silva, T. R. M., Almeida, T. L. A. C., Tutija, J. F., Silva, A. O. D., Lira, M. D. S., et al. (2023). Molecular detection of vector-borne pathogens in cats tested for FIV and FeLV. Vet. Parasitol. Reg. Stud. Rep. 40, 100857. doi: 10.1016/j.vprsr.2023.100857

PubMed Abstract | CrossRef Full Text | Google Scholar

Morick, D., Baneth, G., Avidor, B., Kosoy, M. Y., Mumcuoglu, K. Y., Mintz, D., et al. (2009). Detection of Bartonella spp. in wild rodents in Israel using HRM real-time PCR. Vet. Microbiol. 139, 293–297. doi: 10.1016/j.vetmic.2009.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Nkouawa, A., Sako, Y., Li, T., Chen, X., Wandra, T., Swastika, I. K., et al. (2010). Evaluation of a loop-mediated isothermal amplification method using fecal specimens for differential detection of Taenia species from humans. J. Clin. Microbiol. 48, 3350–3352. doi: 10.1128/JCM.00697-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Norman, A. F., Regnery, R., Jameson, P., Greene, C., and Krause, D. C. (1995). Differentiation of Bartonella-like isolates at the species level by PCR-restriction fragment length polymorphism in the citrate synthase gene. J. Clin. Microbiol. 33, 1797–1803. doi: 10.1128/jcm.33.7.1797-1803.1995

PubMed Abstract | CrossRef Full Text | Google Scholar

Oksi, J., Rantala, S., Kilpinen, S., Silvennoinen, R., Vornanen, M., Veikkolainen, V., et al. (2013). Cat scratch disease caused by Bartonella grahamii in an immunocompromised patient. J. Clin. Microbiol. 51, 2781–2784. doi: 10.1128/JCM.00910-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Osikowicz, L. M., Hojgaard, A., Maes, S., Eisen, R. J., and Stenglein, M. D. (2023). A bioinformatics pipeline for a tick pathogen surveillance multiplex amplicon sequencing assay. Ticks. Tick. Borne. Dis. 14, 102207. doi: 10.1016/j.ttbdis.2023.102207

PubMed Abstract | CrossRef Full Text | Google Scholar

Poofery, J., Narapakdeesakul, D., Riana, E., Arnuphapprasert, A., Nugraheni, Y. R., Ngamprasertwong, T., et al. (2022). Molecular identification and genetic diversity of Bartonella spp. in 24 bat species from Thailand. Transbound. Emerg. Dis. 69, e717–e733. doi: 10.1111/tbed.14389

PubMed Abstract | CrossRef Full Text | Google Scholar

Power, R. I., Calvani, N. E. D., Nachum-Biala, Y., Salant, H., Harrus, S., Šlapeta, J., et al. (2021). Adaptation of gltA and ssrA assays for diversity profiling by Illumina sequencing to identify Bartonella henselae, B. clarridgeiae and B. koehlerae. J. Med. Microbiol. 70. doi: 10.1099/jmm.0.001400

PubMed Abstract | CrossRef Full Text | Google Scholar

Qurollo, B. A., Balakrishnan, N., Cannon, C. Z., Maggi, R. G., and Breitschwerdt, E. B. (2014). Co-infection with Anaplasma platys, Bartonella henselae, Bartonella koehlerae and 'Candidatus Mycoplasma haemominutum' in a cat diagnosed with splenic plasmacytosis and multiple myeloma. J. Feline. Med. Surg. 16, 713–720. doi: 10.1177/1098612X13519632

PubMed Abstract | CrossRef Full Text | Google Scholar

Relman, D. A., Loutit, J. S., Schmidt, T. M., Falkow, S., and Tompkins, L. S. (1990). The agent of bacillary angiomatosis. An approach to the identification of uncultured pathogens. N. Engl. J. Med. 323, 1573–1580. doi: 10.1056/NEJM199012063232301

PubMed Abstract | CrossRef Full Text | Google Scholar

Renesto, P., Gouvernet, J., Drancourt, M., Roux, V., and Raoult, D. (2001). Use of rpoB gene analysis for detection and identification of Bartonella species. J. Clin. Microbiol. 39, 430–437. doi: 10.1128/JCM.39.2.430-437.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Roux, V., Eykyn, S. J., Wyllie, S., and Raoult, D. (2000). Bartonella vinsonii subsp. berkhoffii as an agent of a febrile blood culture-negative endocarditis in a human. J. Clin. Microbiol. 38, 1698–1700. doi: 10.1128/JCM.38.4.1698-1700.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Schrader, C., Schielke, A., Ellerbroek, L., and Johne, R. (2012). PCR inhibitors - occurrence, properties and removal. J. Appl. Microbiol. 113, 1014–1026. doi: 10.1111/j.1365-2672.2012.05384.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Šlapeta, Š., and Šlapeta, J. (2016). Molecular identity of cat fleas (Ctenocephalides f elis) from cats in Georgia, USA carrying Bartonella clarridgeiae, Bartonella henselae and Rickettsia sp. RF2125. Vet. Parasitol. Reg. Stud. Rep. 3–4, 36–40. doi: 10.1016/j.vprsr.2016.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Vayssier-Taussat, M., Le Rhun, D., Bonnet, S., and Cotte, V. (2009). Insights in Bartonella host specificity. Ann. N. Y. Acad. Sci. 1166, 127–132. doi: 10.1111/j.1749-6632.2009.04531.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Welch, D. F., Pickett, D. A., Slater, L. N., Steigerwalt, A. G., and Brenner, D. J. (1992). Rochalimaea henselae sp. nov., a cause of septicemia, bacillary angiomatosis, and parenchymal bacillary peliosis. J. Clin. Microbiol. 30, 275–280. doi: 10.1128/jcm.30.2.275-280.1992

PubMed Abstract | CrossRef Full Text | Google Scholar

Ying, B., Kosoy, M. Y., Maupin, G. O., Tsuchiya, K. R., and Gage, K. L. (2002). Genetic and ecologic characteristics of Bartonella communities in rodents in southern China. Am. J. Trop. Med. Hyg. 66, 622–627. doi: 10.4269/ajtmh.2002.66.622

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeaiter, Z., Fournier, P. E., Ogata, H., and Raoult, D. (2002). Phylogenetic classification of Bartonella species by comparing groEL sequences. Int. J. Syst. Evol. Microbiol. 52, 165–171. doi: 10.1099/00207713-52-1-165

PubMed Abstract | CrossRef Full Text | Google Scholar

Zouari, S., Khrouf, F., M'Ghirbi, Y., and Bouattour, A. (2017). First molecular detection and characterization of zoonotic Bartonella species in fleas infesting domestic animals in Tunisia. Parasit. Vectors 10, 436. doi: 10.1186/s13071-017-2372-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: assay development, quadruplex, next-generation sequencing (NGS), Bartonella spp., differentiation

Citation: Bai Y, Osikowicz LM, Hojgaard A and Eisen RJ (2023) Development of a quadruplex PCR amplicon next generation sequencing assay for detection and differentiation of Bartonella spp. Front. Microbiol. 14:1243471. doi: 10.3389/fmicb.2023.1243471

Received: 20 June 2023; Accepted: 07 November 2023;
Published: 07 December 2023.

Edited by:

Jesus L. Romalde, University of Santiago de Compostela, Spain

Reviewed by:

Phil Giffard, Charles Darwin University, Australia
Lisanework Ayalew, University of Prince Edward Island, Canada

Copyright © 2023 Bai, Osikowicz, Hojgaard and Eisen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ying Bai, bby5@cdc.gov

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.