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. 2020 Feb 26;5(1):e00933-19. doi: 10.1128/mSphere.00933-19

No Consistent Evidence for Microbiota in Murine Placental and Fetal Tissues

Kevin R Theis a,b,, Roberto Romero b,c,d,e,f,g,, Jonathan M Greenberg a, Andrew D Winters a,b, Valeria Garcia-Flores b,h, Kenichiro Motomura b,h, Madison M Ahmad a, Jose Galaz b,h,i, Marcia Arenas-Hernandez b,h, Nardhy Gomez-Lopez a,b,h,
Editor: Vincent B Youngj
PMCID: PMC7045391  PMID: 32102944

The prevailing paradigm in obstetrics has been the sterile womb hypothesis, which posits that fetuses are first colonized by microorganisms during the delivery process. However, some are now suggesting that fetuses are consistently colonized in utero by microorganisms from microbial communities that inhabit the placenta and intra-amniotic environment. Given the established causal role of microbial invasion of the amniotic cavity (i.e., intra-amniotic infection) in pregnancy complications, especially preterm birth, if the in utero colonization hypothesis were true, there are several aspects of current understanding that will need to be reconsidered; these aspects include the magnitude of intra-amniotic microbial load required to cause disease and its potential influence on the ontogeny of the immune system. However, acceptance of the in utero colonization hypothesis is premature. Herein, we do not find consistent evidence for placental and fetal microbiota in mice using culture, qPCR, and DNA sequencing.

KEYWORDS: microbiome, low-microbial-biomass sample, pregnancy, in utero colonization, mouse model

ABSTRACT

The existence of a placental microbiota and in utero colonization of the fetus have been the subjects of recent debate. The objective of this study was to determine whether the placental and fetal tissues of mice harbor bacterial communities. Bacterial profiles of the placenta and fetal brain, lung, liver, and intestine samples were characterized through culture, quantitative real-time PCR (qPCR), and 16S rRNA gene sequencing. These profiles were compared to those of the maternal mouth, lung, liver, uterus, cervix, vagina, and intestine, as well as to background technical controls. Positive bacterial cultures from placental and fetal tissue samples were rare; of the 165 total bacterial cultures of placental tissue samples from the 11 mice included in this study, only nine yielded at least a single colony, and five of those nine positive cultures came from a single mouse. Cultures of fetal intestinal tissue samples yielded just a single bacterial isolate, Staphylococcus hominis, a common skin bacterium. Bacterial loads of placental and fetal brain, lung, liver, and intestinal tissues were not higher than those of DNA contamination controls and did not yield substantive 16S rRNA gene sequencing libraries. From all placental or fetal tissue samples (n = 51), there was only a single bacterial isolate that came from a fetal brain sample having a bacterial load higher than that of contamination controls and that was identified in sequence-based surveys of at least one of its corresponding maternal samples. Therefore, using multiple modes of microbiological inquiry, there was not consistent evidence of bacterial communities in the placental and fetal tissues of mice.

IMPORTANCE The prevailing paradigm in obstetrics has been the sterile womb hypothesis, which posits that fetuses are first colonized by microorganisms during the delivery process. However, some are now suggesting that fetuses are consistently colonized in utero by microorganisms from microbial communities that inhabit the placenta and intra-amniotic environment. Given the established causal role of microbial invasion of the amniotic cavity (i.e., intra-amniotic infection) in pregnancy complications, especially preterm birth, if the in utero colonization hypothesis were true, there are several aspects of current understanding that will need to be reconsidered; these aspects include the magnitude of intra-amniotic microbial load required to cause disease and its potential influence on the ontogeny of the immune system. However, acceptance of the in utero colonization hypothesis is premature. Herein, we do not find consistent evidence for placental and fetal microbiota in mice using culture, qPCR, and DNA sequencing.

INTRODUCTION

The existence of resident microbial communities in the placenta (130) and potentially of in utero microbial colonization of the fetus (6, 22, 24, 3133) have been the subjects of recent debate. A few studies of the human placenta have reported the consistent detection of bacteria through microscopy (20, 34, 35) or culture (6). However, many recent studies detecting the presence of bacteria in the placenta, and thus proposing the existence of a placental microbiota, have done so using DNA sequencing techniques (15, 812, 15).

A principal caveat of these studies has been that the detected bacteria may reflect background DNA contamination from DNA extraction kits and PCR reagents rather than resident bacterial communities within the placenta (7, 14, 17, 21, 25). Another critique has been that even if the detected molecular signals of bacteria in the placenta are not background DNA contaminants, they may nevertheless reflect bacterial products circulating in the maternal blood rather than viable bacterial communities inhabiting the placenta (36). This critique is important because the detection of microbial DNA is not the same as the identification of a viable microorganism, and fetal exposure to microbial products (37), including DNA (3840), is not commensurate with in utero microbial colonization of the fetus (24).

To establish the existence of resident bacterial communities in placental or fetal tissues would require (i) the identification of bacterial DNA in placental or fetal tissues distinct from bacterial DNA detected in technical controls (e.g., DNA extraction kits, PCR reagents, laboratory environments), (ii) confirmation that the bacterial load of placental or fetal tissues exceeds that of technical controls through quantitative real-time PCR (qPCR), (iii) visualization of bacteria in placental or fetal tissues using microscopy, (iv) demonstration of the viability of bacteria in these tissues through culture, and (v) ecological plausibility (i.e., the detected bacteria could survive and reproduce in these tissues) (21, 25). To date, these criteria have not been met in any one study, and affirmative conclusions about the existence of a placental microbiota and in utero microbial colonization of the fetus are premature.

While much of the debate regarding the existence of resident microbial communities in the placenta and of in utero microbial colonization of the fetus has focused on humans, a few studies have been conducted on mammalian animal models as well. Specifically, studies of the placental and fetal tissues of rats and mice (22, 33, 40), and preliminary studies of the placental and fetal tissues of rhesus macaques (4145), have suggested that these tissues harbor bacterial communities. The benefit of using animal models to investigate the existence of in utero microbiota is that you can surgically obtain placental and fetal tissues prior to the onset of labor—if the fetal tissues are populated by viable bacterial communities, then bacterial colonization of the fetus had to occur in utero.

The objective of the current study was to determine whether the placental and fetal tissues of mice harbor bacterial communities by using bacterial culture, qPCR, and 16S rRNA gene sequencing and by comparing the bacterial profiles of these tissues to those of maternal tissues and background technical controls.

RESULTS

Bacterial culture from placental and fetal tissues.

Growth of bacterial isolates from placental and fetal tissues was rare (Fig. 1A; Fig. 2). Only 3/11 mice (F, H, and J) yielded more than two total bacterial isolates across all their cultured placental and fetal samples under all growth conditions (Table 1). Most of the bacterial isolates from placental and fetal samples were Staphylococcus spp. (mostly S. hominis) (Fig. 1A). Staphylococcus spp. were cultured from the mouths, intestines, and vaginas of dams (Fig. 1B); however, 2/5 bacterial isolates recovered from the 114 negative-control plates included in this study were also Staphylococcus spp., specifically S. hominis. The nonstaphylococcal bacteria cultured from placental or fetal samples were Bacillus, Corynebacterium, Paenibacillus, Propionibacterium, and unclassified bacilli (Table 1). These bacteria were rarely, if ever, cultured from maternal samples (Fig. 1A and B).

FIG 1.

FIG 1

Bacterial cultivation results for fetal and placental tissues (A) in relation to those for maternal intestinal, mouth, vaginal, and lung samples (B), and a comparison of the bacterial loads of individual placental samples and blank extraction kit controls in light of the cultivation results (C). (A) Recovery of bacterial isolates from placental and/or fetal tissues by mouse and across different growth media and atmosphere conditions. The taxonomic assignments of these isolates were determined by comparing their 16S rRNA gene sequences to those of the operational taxonomic units (OTUs) of molecular surveys of the mixed bacterial communities cultured from maternal intestinal, oral, vaginal, and lung samples (sequence identity was ≥97.2%). (B) Results of 16S rRNA gene molecular surveys of the plate washes of bacterial growth from maternal intestinal, oral, vaginal, and lung samples, as well as of blank extraction kit controls processed alongside the plate washes. OTUs were included in the heat map in panel B if they had an average percent relative abundance of ≥0.5% across all plate washes of a given maternal body site or if they were the best 16S rRNA gene sequence match to bacterial isolates in panel A (indicated by an asterisk). The boldface OTUs represent the best 16S rRNA gene sequence matches to placental and fetal isolates in panel A. uncl, unclassified. (C) Similarities in bacterial load, as assessed by 16S rRNA gene quantitative real-time PCR (qPCR), between placental samples and blank DNA extraction kit controls.

FIG 2.

FIG 2

Heat maps illustrating bacterial cultivation results for placental (A) and fetal intestinal (B) tissues. Each column of the heat map represents a single agar plate. The x axis indicates the mouse identity, atmospheric condition, growth medium, and paired replicate for each agar plate. The vast majority of blood and chocolate agar plates did not yield any bacterial growth over 7 days for placental (93.2%) and fetal intestinal (99.2%) samples. The operational taxonomic units on the y axis are those that represent the best 16S rRNA gene sequence matches to bacterial isolates recovered from any placental or fetal sample in this study overall (i.e., the OTUs in boldface font in Fig. 1B).

TABLE 1.

Bacterial cultivation results for placental and fetal brain, lung, liver, and intestinal samplesa

Mouse Body site Bacterial culture
In 16S rRNA gene qPCR, was sample bacterial load > that of blank kit controls? 16S rRNA gene sequence match between the isolate and ≥1 sequence within a 16S rRNA gene library
Total no. of isolates recovered Top NCBI BLAST taxonomic designation (≥99.5% 16S rRNA gene sequence identity unless otherwise indicated) Library for that specific tissue type in that mouse Library for any maternal body site in that mouse
A Placenta 0 No
Lung 0 No
Liver 0 No
Intestine 0 Yes
B Placenta 1 Cutibacterium acnes No No No
Lung 0 No
Liver 1 Cutibacterium acnes No No No
Intestine 0 No
C Placenta 0 No
Lung 1 Bacillus simplex or Brevibacterium frigoritolerans No No No
Liver 0 No
Intestine 0 No
D Placenta 0 No
Lung 0 No
Liver 0 No
Intestine 0 No
E Placenta 1 Corynebacterium tuberculostearicum (98.5%) Yes No No
Brain 1 Bacillus halosaccharovorans Yes No No
Lung 0 No
Liver 0 No
Intestine 0 No
F Placenta 1 Staphylococcus hominis No No Yes (lung, skin)
Brain 7 Bacillus circulans, Bacillus megaterium/Bacillus flexus, Bacillus spp., Ornithinibacillus sp. strain Marseille-P3601, Paenibacillus spp. Yes No Yes, for 1/7 isolates (skin)
Lung 0 No
Liver 1 Bacillus sonorensis No No No
Intestine 1 Staphylococcus hominis (99.4%) No No Yes (lung, skin)
G Placenta 0 No
Brain 1 Staphylococcus hominis No No Yes (peritoneum, skin)
Lung 0 No
Liver 1 Staphylococcus hominis No No Yes (peritoneum, skin)
Intestine 0 No
H Placenta 16 Staphylococcus hominis, Staphylococcus epidermidis/S. caprae/S. capitis No No No
Brain 3 Staphylococcus hominis, Staphylococcus warneri, Staphylococcus epidermidis/S. caprae/S. capitis No No No
Lung 0 No
Liver 1 Paenibacillus timonensis (98.0%) No No No
Intestine 0 Yes
I Placenta 0 No
Brain 0 No
Lung 1 Cutibacterium acnes (99.0%) No No No
Liver 0 No
Intestine 0 No
J Placenta TMTCb Staphylococcus caprae No Yes Yes (heart, mouth, intestine)
Brain 0 No
Lung 0 No
Liver 0 No
Intestine 0 No
K Placenta 0 No
Brain 0 No
Lung 0 No
Liver 0 No
Intestine 0 No
a

The positive results or data are shown in boldface type.

b

TMTC, too many to count (i.e., at least some contiguous growth).

In general, only one or two placental or fetal sites within a given fetus yielded a bacterial isolate, and there was little consistency among the fetuses in terms of which site yielded an isolate (Fig. 1A; Table 1). For example, of the 132 blood and chocolate agar plates on which placental tissue homogenates were spread, only nine (6.8%) yielded even a single bacterial isolate, and five of these plates came from a single placental sample (mouse H) (Fig. 2A). All of the bacterial isolates from mouse H’s placental sample were Staphylococcus spp. (either S. hominis or S. epidermidis/S. caprae/S. capitis). There were no exact matches of the 16S rRNA genes of these isolates within the 16S rRNA gene surveys of placental tissues from mouse H, nor were there any matches within the 16S rRNA gene surveys of any of the sampled maternal body sites for mouse H, which included the maternal skin, heart, mouth, lung, liver, proximal intestine, distal intestine, peritoneum, cervix, and vagina (Table 1). The placental sample from mouse J yielded many colonies of Staphylococcus caprae on one chocolate agar plate under hypoxic conditions, but there were no bacterial colonies on the replicate chocolate agar plate incubated under hypoxic conditions or on any other plate for this sample (Fig. 2A; Table 1). An exact match of the 16S rRNA gene of this S. caprae isolate was identified in the 16S rRNA gene survey of placental tissues from mouse J as well as in the 16S rRNA gene surveys of the maternal heart, mouth, and proximal intestine samples for mouse J. However, the bacterial load of the placental sample from mouse J, as assessed by 16S rRNA gene qPCR, was not high—it was less than the bacterial load of 14/23 (60.9%) DNA extraction kit controls (Fig. 1C).

Of the 132 blood and chocolate agar plates on which fetal intestinal tissue homogenates were spread, only one yielded growth, a single bacterial colony of Staphylococcus hominis (Fig. 2B). The 16S rRNA gene of this bacterial isolate was not detected in the molecular survey of fetal intestine samples from this mouse (mouse F), but it was identified in the 16S rRNA gene surveys of maternal lung and skin samples from mouse F (Table 1). This sample had the lowest bacterial load of any fetal intestinal sample in the study and had a bacterial load less than that of 14/23 (60.9%) DNA extraction kit controls (Fig. 3B).

FIG 3.

FIG 3

Quantitative real-time PCR analyses illustrating variation in bacterial load among maternal swab samples and Dacron swab controls (A) and maternal, placental, and fetal tissue samples and blank DNA extraction kit controls (B). Bars indicate the median and quartile log 16S rRNA gene copy values for each sample and control type. Points, color coded by the mouse identity, indicate the mean values of two replicate qPCRs. An asterisk indicates that bacterial loads of that sample type were greater than those of corresponding technical controls based on the outcomes of t tests and Mann-Whitney U tests for panels A and B, respectively, after the application of sequential Bonferroni corrections (α = 0.05).

Bacterial culture from maternal compartments.

Bacterial cultures of the maternal intestine, mouth, vagina, and lung often yielded lawns of bacterial growth dominated by unclassified Pasteurellaceae, Lactobacillus, and Staphylococcus (Fig. 1B). Body site-specific variation in the structure of cultured bacterial communities from maternal samples was evident (Fig. 1B). For instance, the vast majority of bacteria cultured from the vagina were unclassified members of the family Pasteurellaceae, while Bacteroides and a distinct strain of Lactobacillus were consistently cultured from the maternal intestine in addition to the unclassified Pasteurellaceae, Lactobacillus, and Staphylococcus isolated from other body sites (Fig. 1B).

Bacterial cultures of the maternal cervix yielded isolates in 6/11 (54.5%) mice (Table 2). The most common bacterium cultured from the murine cervix was Pasteurella caecimuris; it was recovered in culture from 5/11 cervical samples. In each case, an exact match for the 16S rRNA gene of the P. caecimuris isolate was identified in the 16S rRNA gene survey of the corresponding cervical sample (Table 2).

TABLE 2.

Bacterial cultivation results for maternal cervical, uterine, and liver samplesa

Mouse Low-microbial- biomass maternal body site Bacterial culture
In 16S rRNA gene qPCR, was sample bacterial load > that of blank kit controls? Was there an exact 16S rRNA gene sequence match between the isolate and ≥1 sequence within the 16S rRNA gene library for that specific tissue type in that mouse?
No. of unique colony morphotypes recovered Top NCBI BLAST taxonomic designation (≥99.5% 16S rRNA gene sequence identity unless otherwise indicated)
A Cervix 1 Rodentibacter pneumotropicus (98.0%) No Yes
Uterus 1 Bacillus niabensis No No
Liver 0 No
B Cervix 0 No
Uterus 0 No
Liver 2 Lactobacillus gasseri, L. murinus No Yes, for 1/2 morphotypes
C Cervix 0 No
Uterus 0 No
Liver 5 Bacteroides sartorii (98.0%), Klebsiella variicola, L. gasseri/L. johnsonii, L. murinus, Staphylococcus hominis Yes Yes, for 2/5 morphotypes
D Cervix 0 No
Uterus 0 No
Liver 0 No
E Cervix 1 Pasteurella caecimuris Yes Yes
Uterus 0 No
Liver 0 No
F Cervix 0 Yes
Uterus 0 No
Liver 1 Staphylococcus epidermidis/S. caprae/S. capitis No No
G Cervix 5 Bacteroides sartorii, Faecalibaculum rodentium (97.9%), Lactobacillus murinus, L. reuteri (99.2%), Pasteurella caecimuris Yes Yes, for 5/5 morphotypes
Uterus 0 No
Liver 0 No
H Cervix 0 Yes
Uterus 0 No
Liver 0 No
I Cervix 6 Bacillus circulans, Pasteurella caecimuris, Rodentibacter pneumotropicus (98.1%), Staphylococcus hominis, S. xylosus, Streptococcus thoraltensis (99.3%) No Yes, for 4/6 morphotypes
Uterus 0 No
Liver 0 No
J Cervix 1 Pasteurella caecimuris No Yes
Uterus 1 Staphylococcus aureus No No
Liver 1 Staphylococcus epidermidis/S. caprae/ S. capitis No No
K Cervix 1 Pasteurella caecimuris Yes Yes
Uterus 0 Yes
Liver 0 No
a

The positive results or data are shown in boldface type.

Bacteria were rarely cultured from the uterus (2/11 mice) and maternal liver (4/11 mice) (Table 2). The two bacteria cultured from the uterus were Bacillus niabensis and Staphylococcus aureus. An exact match of the 16S rRNA gene of these isolates was not identified in the 16S rRNA gene surveys of the respective uterine samples. The bacteria cultured from maternal liver samples were primarily Lactobacillus and Staphylococcus spp. Of the nine distinct bacterial morphotypes cultured from maternal liver tissues, only 3 (33%) had an exact match of their 16S rRNA gene identified in the 16S rRNA gene surveys of their respective samples (Table 2).

Quantitative real-time PCR of murine and control samples.

Bacterial load, as characterized by 16S rRNA gene copy abundance, varied greatly across maternal, placental, and fetal body sites (Fig. 3). The bacterial loads of swabs of the maternal mouth, vagina, and skin exceeded those of sterile Dacron swabs (Fig. 3A). Similarly, the bacterial loads of tissues of the maternal proximal and distal intestine, lung, cervix, heart, liver, and uterus exceeded those of blank DNA extraction kits (Fig. 3B). In contrast, bacterial loads of the maternal peritoneum, the placenta, and the fetal lung, liver, brain, and intestine did not exceed those of their respective background technical controls (Fig. 3A and B). The spleen and tail were the only fetal tissues with bacterial loads exceeding those of blank DNA extraction kits (Fig. 3B). However, only 1/11 (9.1%) fetal tail and 2/11 (18.2%) fetal spleen samples had bacterial loads exceeding those of each of the blank DNA extraction kits. Corrected for multiple comparisons, no placental or fetal tissue, including the tail and spleen, had a bacterial load exceeding that of any other placental or fetal tissue (Wilcoxon matched pairs, P ≥ 0.68).

16S rRNA gene sequencing of murine and control samples.

Six of the 23 (26.1%) blank DNA extraction kits, and 8/11 (72.7%) sterile swab controls, yielded a 16S rRNA gene library with ≥250 quality-filtered sequences and a Good’s coverage of ≥95%. The prominent (i.e., ≥2.25% relative abundance) operational taxonomic units (OTUs) in the bacterial profiles of the DNA extraction kit controls were identified as Ralstonia, unclassified Bacillales, Flavobacterium, S24-7, Brevibacterium, Pelomonas, unclassified Bacteroidetes, and Acinetobacter (Fig. 4). However, only two of these prominent OTUs, identified as Ralstonia and Pelomonas, were present in the bacterial profiles of more than one-half of the DNA extraction kit controls. A decontam analysis indicated that the OTUs identified as Ralstonia, Pelomonas, Pseudomonas, and Acinetobacter were likely background DNA contaminants (Fig. 4).

FIG 4.

FIG 4

Heat map illustrating the relative abundances of prominent (≥2.25% average relative abundance) operational taxonomic units among the 16S rRNA gene profiles of maternal swab and tissue samples and background technical controls. The four OTUs in red font were identified as background DNA contaminants by the R package decontam.

The bacterial profiles of placental and fetal samples could not be compared to those of background technical controls because only 2/77 (2.6%) placental and fetal brain, lung, liver, intestine, spleen, and tail samples included in this study yielded a 16S rRNA gene library with ≥250 sequences and a Good’s coverage of ≥95%. These two samples were the placental sample from mouse I and the fetal spleen sample from mouse B. The placenta from mouse I had an average bacterial load in comparison to that of other placentas (Fig. 3B), and no bacteria were cultured from the placental tissues of this mouse (Fig. 1, Fig. 2, and Table 1). The prominent OTUs in the bacterial profile of the placental sample from mouse I were identified as Bacteroides, Akkermansia, S24-7, Lactobacillus, and Escherichia. The fetal spleen from mouse B had the highest bacterial load of any fetal spleen sample; its bacterial load was 58% higher than any other spleen sample (Fig. 3B). The prominent OTUs in the bacterial profile of the fetal spleen from mouse B were Lactobacillus, S24-7, and unclassified Lachnospiraceae.

All maternal skin, mouth, and proximal and distal intestinal samples yielded a 16S rRNA gene library with ≥250 sequences and a Good’s coverage of ≥95%. Six (54.5%), four (36.4%), and three (27.3%) maternal peritoneal, cervical, and lung samples, respectively, yielded a 16S rRNA gene library with ≥250 sequences and a Good’s coverage of ≥95%. However, no maternal liver or uterine samples, and only one (9.1%) maternal heart sample, yielded a 16S rRNA gene library. The structure of the bacterial profiles of the maternal body sites with at least three 16S rRNA gene libraries meeting the above criteria was compared to those of background technical controls (Fig. 4; Fig. 5).

FIG 5.

FIG 5

Principal-coordinate analysis (PCoA) illustrating variation in 16S rRNA gene profiles among maternal swab samples and Dacron swab controls (A) and maternal tissue samples and blank DNA extraction kit controls (B). 16S rRNA gene profiles were characterized using the Bray-Curtis similarity index.

The taxonomic identities of prominent OTUs varied among maternal body sites (Fig. 4). Maternal proximal and distal intestinal samples had the most OTU-rich bacterial profiles. The maternal proximal intestine was characterized by Bacteroides, Desulfovibrio, Helicobacter, Lachnospira, unclassified Lachnospiraceae, Lactobacillus, and S24-7, while the maternal distal intestine had bacterial profiles that consistently comprised of “Candidatus Arthromitus,” Bacteroides, Lactobacillus, Parasutterella, unclassified Prevotellaceae, and S24-7. Maternal vaginal and cervical bacterial profiles were dominated by unclassified Pasteurellaceae; the vagina also consistently contained Helicobacter. Maternal lung bacterial profiles were typified by Lactobacillus and S24-7, while those of the maternal mouth were dominated by Streptococcus, Mannheimia, Lactobacillus, and unclassified Pasteurellaceae. Maternal skin, a low-microbial-biomass site (Fig. 3A), and the peritoneum, a very low- to nonexistent-microbial-biomass site (Fig. 3A), had bacterial profiles that overlapped with those of background technical controls more so than did the profiles of higher microbial biomass sites (Fig. 4). Specifically, skin bacterial profiles consistently contained Bifidobacterium, Helicobacter, unclassified Pasteurellaceae, Ralstonia, S24-7, Staphylococcus, and Streptococcus. Ralstonia was the dominant OTU in the bacterial profiles of the maternal peritoneum, as well as in the profiles of the background technical controls (Fig. 4). Indeed, the bacterial profiles of the maternal peritoneum were not distinguishable from those of background technical controls (Bray-Curtis similarity index; nonparametric multivariate analysis of variance (NPMANOVA), F = 0.974, P = 0.467) (Fig. 5A).

Comprehensive consideration of individual placental and fetal tissues across microbiological inquiries.

Overall, there was only a single bacterial isolate (Bacillus circulans, cultured from the fetal brain tissue of mouse F) cultured from a placental or fetal tissue having a bacterial load higher than that of background technical controls and identified in the 16S rRNA gene surveys of at least one of that fetus’ maternal samples (Table 1).

DISCUSSION

Principal findings of the study.

(i) Of the 165 total bacterial cultures of placentas from the 11 mice, only nine (5.5%) yielded even a single colony, and five of those nine positive cultures came from a single mouse. (ii) Of the 165 total bacterial cultures of fetal intestinal tissues, only one (0.6%) was positive, yielding a single isolate of Staphylococcus hominis. (iii) The bacterial loads of placental and fetal brain, lung, liver, and intestinal samples were not higher than those of DNA extraction kit controls. (iv) Only two (2.6%) placental or fetal tissue samples yielded a 16S rRNA gene library with at least 250 sequences and a Good’s coverage value of 95%. (v) The 16S rRNA gene libraries of each maternal skin, mouth, vaginal, and proximal and distal intestinal sample met these criteria, as did at least 25% of maternal lung, cervical, and peritoneum samples. (vi) Similar to the placental and fetal tissue samples, maternal heart, liver, and uterine samples did not yield 16S rRNA gene libraries with at least 250 sequences and a Good’s coverage value of 95%. (vii) Overall, among all placental or fetal tissues for which there were culture, qPCR, and corresponding maternal sample sequence data (n = 51), there was only a single bacterial isolate that came from a fetal brain sample having a bacterial load higher than that of contamination controls and that was identified in sequence-based surveys of at least one of its corresponding maternal samples.

Prior reports of placental and fetal microbiota in mice.

An initial investigation of the existence of microbiota in the murine placenta and fetal intestine was conducted by Martinez et al. (40). Specifically, bacterial culture, 16S rRNA gene qPCR, and 16S rRNA gene sequencing were performed on the placental and fetal intestine samples of 13 mice at day 17 of gestation (40). All bacterial cultures of the placenta and fetal intestine were negative. Yet, the bacterial loads of the fetal intestine were higher than those of placentas. After the OTUs detected in 16S rRNA gene sequencing surveys of background control samples were removed from the overall data set, the bacterial profiles of murine fetal intestines were dominated by Enterococcus, Stramenopiles, Rhodoplanes, and Novosphingobium. In contrast, the bacterial profiles of murine placentas were more diverse, with Pirellulaceae, Aeromonadaceae, MIZ46, ZB2, Veillonellaceae, Weeksellaceae, Fluviicola, Bdellovibrio, and Comamonadaceae being most common. The conclusion of the study was that, although murine fetuses do not appear to be populated by microbial communities, they are exposed to bacterial DNA in utero. Conversely, in a subsequent molecular study by Kuperman et al. (18), 24 murine placental samples (four regions were sampled from two placentas each from three mice at gestational day 19) had no detectable 16S rRNA gene amplicons after PCR. Hence, more comprehensive investigations were needed.

Most recently, Younge et al. (22) used bacterial culture, fluorescent in situ hybridization (FISH), and 16S rRNA gene sequencing to evaluate the presence of bacterial communities in the placenta and fetal intestine of 18 to 30 fetuses from 2 litters in early, mid, and late gestations. Positive bacterial cultures were most common in midgestation and were not observed in late gestation. The most common bacteria cultured from the placenta and fetal intestine were Lactobacillus, Escherichia, Enterococcus, Bacteroides, and Bacillus. Mechanistic studies indicated that these cultured bacteria were not simply contaminants transferred from maternal compartments during sample processing. In the fetal intestine, bacteria were further visualized through FISH using a universal probe for the bacterial 16S rRNA gene. 16S rRNA gene profiles of the placenta and fetal intestine were similar. In early gestation, the profiles of these tissues were characterized by “Candidatus Arthromitus,” S24-7, Lactobacillus, and Desulfovibrio, while in mid and late gestation, they were dominated by Kurthia and Escherichia. Sourcetracker analyses suggested that most of the bacterial signals from the fetal intestine in early gestation were attributed to background technical controls or to unknown sources. However, in mid and late gestation, the bacterial signals in the fetal intestine were indicated to potentially have come from the placenta or amniotic membrane. Therefore, the conclusion of the study was that there is fetal exposure to microbial communities from the placenta and the extraplacental membranes in utero.

The findings of this study in the context of prior reports.

In the current study, culture of bacteria from placental and fetal tissues was generally rare. Most of the bacterial isolates were identified as Staphylococcus spp., especially S. hominis. The origin of these bacteria could be maternal sites, as Staphylococcus spp. were cultured from maternal sites, and S. hominis specifically was identified in molecular surveys of the maternal skin. Alternatively, these bacteria could potentially be contaminants from the skin of laboratory personnel, given that four of the five bacterial isolates recovered from negative-control plates in this study were S. hominis and Cutibacterium (Propionibacterium) acnes. Of the 14 studies concluding there exists a human placental microbiota based, in large part, on DNA sequencing techniques (16, 812, 15, 20, 22), only three included a culture component (6, 8, 20), and only one yielded bacterial isolates from placentas of normal term deliveries (6). Those bacterial isolates were Staphylococcus and Propionibacterium. The other bacteria (Bacillus, Corynebacterium, and Paenibacillus) cultured from murine placental and fetal tissues in the current study were rarely, if ever, cultured from maternal samples or identified in the molecular surveys of maternal samples. Given that the only possible source of placental and fetal microbiota is microorganisms in the maternal compartments, the latter finding suggests that these bacteria were likely contaminants. Furthermore, there was no consistent recovery in culture of specific microorganisms (aside from S. hominis) from multiple placental and fetal tissues from the same fetus or in the same tissue types among fetuses from different litters. Notably, the taxonomic identities of bacteria cultured in the current study generally differed, with the exception of Staphylococcus and Bacillus, from those initially reported by Younge et al. (22) in murine placental and fetal tissues. Therefore, across current murine studies, as in human studies, culture has not provided consistent evidence for a placental or fetal microbiota.

In the current study, qPCR revealed that the bacterial loads of the placenta, fetal lung, liver, brain, and intestine samples did not exceed those of background technical controls, whereas samples from maternal sites, excluding the peritoneum, did exceed those of controls. In addition, there was no variation in bacterial load among placental and fetal tissue samples. These results are in contrast with those of Martinez et al. (40) in which the bacterial loads of the fetal intestine exceeded those of the placenta. To our knowledge, no other studies have directly compared the bacterial loads of the placenta and fetal intestine in mammals. However, the qPCR results in our study are in agreement with prior qPCR investigations of human placental tissues—the bacterial loads of placentas are indistinguishable from those of background technical controls (7, 14, 21). Hence, there remains disagreement among studies with respect to the extent of bacterial biomass in placental and fetal tissues.

Herein, the murine placental and fetal tissues did not yield substantive 16S rRNA gene sequence libraries, while the maternal sites other than the uterus, heart, and liver consistently did so. These results are in agreement with those of Kuperman et al. (18), in which 30 cycles of PCR did not yield discernible amplicons from murine placental tissue. Notably, in our study, triple library preparations were performed and pooled for each sample, and minimal amplicons were still generated after 30 cycles of PCR. Martinez et al. (40) also used 30 cycles of PCR in their sequence library preparations and included samples in their analyses if they yielded at least 200 quality-filtered sequences, reporting a distinct bacterial DNA signal in the placenta and fetal intestine. In this study, we included samples in analyses only if they yielded at least 250 quality-filtered sequences with a Good’s coverage value of at least 95%. If we had used the criterion of 200 sequences, independent of any consideration of Good’s coverage, only one additional fetal sample would have been included in analyses. Younge et al. (22) generated substantive sequence libraries for placental and fetal intestine samples; however, their library preparation protocol was based on that of the Earth Microbiome Project (i.e., 35 cycles of PCR). The discrepancies among murine studies may therefore be due to underlying differences in the sequence library protocols used. They may also be due to variation in the housing conditions or individual life histories of mice in these studies. Nevertheless, as with culture and qPCR approaches, we did not find consistent evidence of a bacterial signal in placental and fetal tissues using DNA sequencing.

Notably, in this study, there was only one case in which a bacterial isolate (i.e., Bacillus circulans) from a placental or fetal sample (i.e., fetal brain) had a bacterial load exceeding that of all background technical controls, and in which the bacterium was also identified in molecular surveys of at least one corresponding maternal sample (i.e., maternal skin). Therefore, in this one case, there may have been hematogenous transfer from a distant maternal site to the fetus. However, overall, there was not consistent evidence of resident bacterial communities in the murine placenta or fetus.

Strengths of this study.

First, this study included multiple modes of microbiological inquiry, including bacterial culture, 16S rRNA gene qPCR, and 16S rRNA gene sequencing, to determine whether the placental and fetal tissues of mice harbored bacterial communities. Second, this study included the analysis of many maternal, placental, and fetal body sites, including valuable low-microbial-biomass maternal sites such as the lung, cervix, and skin (i.e., positive controls) and maternal sites presumed to be sterile such as the liver and heart (i.e., negative controls). Third, thorough controls for potential background contamination were incorporated into bacterial culture, qPCR, and DNA sequence-based analyses.

Limitations of this study.

First, this study did not include FISH to visualize potential bacterial communities in the placental and fetal tissues of mice since protocols for low-bacterial-biomass FISH have not yet passed internal validation. Second, this study did not include tissue samples spiked with known numbers of bacterial cells, which could have provided information on the limits of microbial detection in the investigative approaches we used. Third, this study focused exclusively on evaluating the existence of bacterial communities in murine placental and fetal tissues; eukaryotic microbes and viruses were not considered in this study. Future studies should compare the microbial profiles of the placenta and other fetal tissues of germfree and wild-type mice using culture, sequencing techniques, and microscopy.

Conclusion.

Using bacterial culture, 16S rRNA gene qPCR, and 16S rRNA gene sequencing, there was not consistent and reproducible evidence of bacterial communities inhabiting the placenta or fetal tissues of mice, providing further evidence against the in utero colonization hypothesis. In addition, these findings emphasize the importance of including appropriate background technical controls, as well as positive and negative tissue controls, in all microbiological approaches from culture to sequencing when reevaluating paradigms of sterility.

MATERIALS AND METHODS

Study subjects and sample collection.

C57BL/6 mice were purchased from The Jackson Laboratory (Bar Harbor, ME, USA), and bred in the specific-pathogen-free (SPF) animal care facility at C. S. Mott Center for Human Growth and Development at Wayne State University, Detroit, MI, USA. The mice were housed under a 12-h/12-h light-dark cycle with ad libitum access to water and food (PicoLab laboratory rodent diet 5L0D; LabDiet, St. Louis, MO, USA). Eight- to 12-week old females were mated with males of proven fertility. Female mice were examined daily between 8:00 and 9:00 a.m. for the presence of a vaginal plug, which indicated 0.5 days post coitum. After the observation of vaginal plugs, female mice were removed from the mating cages and housed separately. A weight gain of ≥2 g confirmed first pregnancy at 12.5 days post coitum.

Eleven pregnant mice were euthanized by cervical dislocation at 17.5 days of gestation. The dam’s chest and abdomen were shaved, 70% alcohol was applied, and the dam was placed on a surgical platform within a biological safety cabinet. Study personnel donned sterile surgical gowns, masks, full hoods, and powder-free exam gloves during sample collection. Sterile disposable scissors and forceps were used throughout, and new scissors and forceps were used for each organ that was sampled.

The oral cavity and vagina were swabbed with Dacron (Medical Packaging Corp., Camarillo, CA) and ESwabs (BD Diagnostics, Sparks, MD) for molecular microbiology and bacterial culture, respectively. For the abdomen, a Dacron swab was collected, iodine was applied, and after the iodine dried, an ESwab was collected. A midline incision was made along the full length of the abdomen. The peritoneum was sampled with a Dacron swab. The uterine horns were separated from the cervix and placed within a sterile petri dish, wherein they were immediately processed within the biological safety cabinet by a different investigator. Uterine horns were dissected, and fetuses (the fetus inside the amniotic sac attached to the placenta) were placed in individual petri dishes. Uterine tissues were collected for both molecular microbiology and bacterial culture. Two fetuses from each dam were selected for analysis; tissues from one were used for molecular microbiology and tissues from the other were used for bacterial culture. From each fetus, the placenta, lung, liver, intestine, and brain were collected (molecular microbiology was performed on fetal brain samples from all 11 mice, i.e., mice A to K; bacterial culture was completed on fetal brain samples from mice E to K). The fetal spleen and tail were also collected for molecular microbiology.

Next, the maternal cervix, liver, and lung were sectioned, and one sample of each tissue was placed into a sterile 1.5-ml microcentrifuge tube and an anaerobic transport medium tube (Anaerobe Systems, Morgan Hill, CA) for molecular microbiology and bacterial culture, respectively. Last, after all placental and fetal tissues were sampled and stored, the maternal heart and the maternal proximal and distal large intestine were collected for molecular microbiology, and the maternal middle intestine was collected for bacterial culture. Procedures were approved by the Institutional Animal Care and Use Committee at Wayne State University (protocol 18-03-0584).

Bacterial culture.

ESwabs and tissues collected for bacterial culture were placed within a Coy Laboratory Products (Grass Lake, MI) hypoxic growth chamber (5% CO2, 5% O2) and processed in the following order: placenta, fetal liver, fetal lung, fetal brain, fetal intestine, maternal uterus, maternal liver, maternal lung, maternal cervix, maternal skin poststerilization, maternal vagina, maternal oral cavity, and maternal midintestine. While processing samples for bacterial culture within the chamber, study personnel wore sterile sleeve protectors (Kimtech pure A5; catalog no. 36077; Kimberly Clark, Irving, TX), nitrile exam gloves, and sterile nitrile gloves (catalog no. 52102; Kimberly Clark) over the top of the nitrile exam gloves.

Tissues were removed from the anaerobic transport medium tubes using a sterile disposable inoculating loop (10 μl; Fisher Scientific, Hampton, NH), placed into a sterilized Wheaton dounce reservoir (2 ml or 5 ml; DWK Life Sciences, Millville, NJ) containing 1 ml of sterile phosphate-buffered saline (PBS) (Gibco, Fisher Scientific), and homogenized for 1 min. Tissue homogenates were transferred to 5-ml centrifuge tubes containing an additional 1.5 ml of sterile PBS. For mice E to K, maternal lung and maternal midintestine tissues were homogenized in sterile 5-ml centrifuge tubes using 0.5 ml sterile PBS and a sterile disposable scalpel (Surgical Design, Lorton, VA).

Tissue homogenates and ESwab buffer solutions were plated on blood agar (tryptic soy agar [TSA] with 5% sheep blood) and chocolate agar and incubated at 37°C under oxic, hypoxic (5% CO2, 5% O2), and anoxic (5% CO2, 10% H, 85% N) atmospheres. All samples were additionally plated on MacConkey agar, and also added to SP4 broth with urea and SP4 broth with arginine, and incubated at 37°C under an oxic atmosphere. All samples were cultured in duplicate under all growth conditions (medium type × atmosphere) and incubated for 7 days. There was ultimately no growth of Ureaplasma or Mycoplasma spp. from maternal, placental, or fetal samples in SP4 broth or of bacteria in general from placental and fetal samples on MacConkey agar. Therefore, data from these growth media (i.e., SP4 urea, SP4 arginine, MacConkey) are not included in Results.

During the processing of each mouse’s samples for culture, three chocolate agar plates were left open in the hypoxic chamber to serve as negative controls—they were subsequently incubated for 7 days under oxic, hypoxic, and anoxic conditions. Additionally, for each mouse, the PBS stock used for tissue homogenization was plated on blood agar, chocolate agar, and MacConkey agar, and was further added to SP4 broth containing urea and arginine. The PBS-control blood agar and chocolate agar plates were incubated under oxic, hypoxic, and anoxic conditions, and the MacConkey agar plates and SP4 broths were incubated under oxic conditions. These negative controls were incubated for 7 days.

Distinct bacterial isolates (i.e., colonies) recovered from negative controls and placental or fetal tissues were streaked for purity and taxonomically identified based upon their 16S rRNA gene sequence identity, as determined through Sanger sequencing (see details below). In one instance, there was contiguous growth of bacterial isolates on a plate for a single placental sample (that of mouse J); the isolates all had the same morphotype, so a representative isolate was streaked for purity and taxonomically identified through Sanger sequencing.

The negative-control plates yielded five total bacterial isolates over the course of the experiment. Four were successfully sequenced: two were identified as Cutibacterium acnes, and two were identified as Staphylococcus hominis. If a specific bacterium was cultured on a technical control plate on the day a mouse’s samples were processed as well as on a placental or fetal sample plate for that mouse (i.e., there was a 100% 16S rRNA gene sequence match between the bacterial isolates recovered on the two plates), that bacterium was not included in analyses. Overall, this included 11 bacterial isolates for three mice (D, J, and K). Of these 11 isolates, four were C. acnes, and seven were S. hominis. If a specific bacterium was cultured on a mouse’s placental or fetal sample plate as well as on a technical control plate from another sample processing day, but not on a control plate from that mouse’s sampling day, the bacterium was included in analyses.

For maternal cervix, uterus, and liver samples, the unique isolate morphotypes on each plate were streaked for purity and taxonomically identified through Sanger sequencing of the 16S rRNA gene. Samples of the maternal oral cavity, lung, vagina, and intestine often yielded bacterial isolates with contiguous growth. Therefore, the taxonomic identities of the bacteria cultured from these samples were determined through plate wash PCR (46) followed by 16S rRNA gene sequencing (see details below).

During each week of the experiment, blood, chocolate, and MacConkey agar plates were inoculated with Eikenella corrodens, Enterococcus faecalis, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, and Streptococcus agalactiae, and cultured under oxic, hypoxic, and anoxic conditions. SP4 broth with urea or arginine was inoculated with Ureaplasma urealyticum and Mycoplasma hominis, respectively. Each of these cultures was positive over the course of the experiment (MacConkey agar was positive for E. coli throughout).

Taxonomic identification of individual bacterial isolates.

After the bacterial isolates were streaked for purity, the isolates from placental, fetal, and maternal uterine, cervical, and liver samples were stored in nuclease-free water and frozen at –20°C until colony PCR targeting the 16S rRNA gene was performed. The 16S rRNA gene of each isolate was first amplified using the 27F/1492R primer set and then bidirectionally Sanger sequenced through GENEWIZ (South Plainfield, NJ) using the 515F/806R primer set, which targets the V4 hypervariable region of the 16S rRNA gene. Forward and reverse reads were trimmed using DNA Baser software (Heracle BioSoft S.R.L., Pitesti, Romania) with default settings, and assembled using the CAP (contig assembly program) of BioEdit software (v7.0.5.3), also with default settings. The taxonomic identities of individual bacterial isolates were determined using the Basic Local Alignment Search Tool (BLAST) (47). 16S rRNA gene sequence similarities between isolates and their top match on BLAST were ≥99.5% unless otherwise noted (Table 1; Table 2).

DNA extraction from plate washes of cultured bacteria.

Plate washing was performed by pipetting 1 to 2 ml of PBS onto the agar plate and dislodging bacterial colonies with either sterile L-shaped spreaders or inoculating loops. The PBS wash solution was then transferred into cryovials and stored at –80°C until DNA was extracted. DNA was extracted from plate wash samples using Qiagen DNeasy PowerSoil (Germantown, MD) extraction kits. Washes from maternal samples that yielded growth under multiple atmospheres for the same media type were pooled prior to the extraction process. Purified DNA was stored at –20°C.

16S rRNA gene sequencing of plate wash extracts.

The DNA in plate wash extracts was quantified with an Invitrogen Qubit 3.0 fluorometer (Waltham, MA) and a dsDNA (double-stranded DNA) BR (broad range) assay kit, and sample DNA concentrations were normalized to 10 ng/μl. Two microliters of each plate wash extract was amplified using the 16S rRNA gene library preparation protocols previously described by Kozich et al. (48). Briefly, the 515F/806R primer set was used to target the V4 region of the 16S rRNA gene. The 16S rRNA genes in plate wash extracts were sequenced at Wayne State University on an Illumina MiSeq system using a 2 × 250 cycle V2 kit and following Illumina sequencing protocols (48). The 16S rRNA gene sequences from the paired fastq files for these samples were processed as previously described by Theis et al. (21).

DNA extraction from swab and tissue samples.

All Dacron swab and tissue samples collected for molecular microbiology were stored at –80°C until DNA extractions were performed. DNA extractions were performed in a biological safety cabinet by study personnel donning sterile surgical gowns, masks, full hoods, and powder-free exam gloves. Extractions of tissues generally included 0.015 to 0.100 g of tissue, except for the fetal tail and spleen, whose masses were very low.

DNA was extracted from swabs, tissues, and background technical controls (i.e., sterile Dacron swabs [n = 11] and blank DNA extraction kits [n = 23]) using the DNeasy PowerLyzer PowerSoil kit (Qiagen, Germantown, MD) with minor modifications to the manufacturer’s protocol. Specifically, 400 μl of bead solution, 200 μl of phenol-chloroform-isoamyl alcohol (pH 7 to 8), and 60 μl of solution C1 were added to the supplied bead tube. Cells within samples were lysed by mechanical disruption for 30 s using a bead beater. After centrifugation, the supernatants were transferred to new tubes, and 100 μl of solution C2, 100 μl of solution C3, and 1 μl of RNase A enzyme were added, and the tubes were incubated at 4°C for 5 min. After centrifugation, the supernatants were transferred to new tubes that contained 650 μl of solution C4 and 650 μl of 100% ethanol. The lysates were loaded onto filter columns and centrifuged for 1 min, and the flowthrough was discarded. This step was repeated until all sample lysates were spun through the filter columns. Five hundred microliters of solution C5 was added to the filter columns and centrifuged for 1 min, the flowthrough was discarded, and the tube was centrifuged for an additional 3 min as a dry spin. Finally, 60 μl of solution C6 was placed on the filter column and incubated for 5 min before centrifuging for 30 s to elute the extracted DNA. Purified DNA was stored at –20°C.

Purified DNA was quantified using a Qubit 3.0 fluorometer with a Qubit dsDNA BR assay kit (Life Technologies, Carlsbad, CA) according to the manufacturer’s protocol. All purified DNA samples were then normalized to 80 ng/μl (when possible) by diluting each sample with the Qiagen elution buffer (solution C6).

16S rRNA gene quantitative real-time PCR.

A preliminary test was performed to investigate whether DNA amplification inhibition existed among the different sample types. For this test, 4.7 μl of purified E. coli ATCC 25922 (GenBank accession no. CP009072) genomic DNA (0.005 ng/μl) containing seven 16S rRNA genes copies per genome was spiked into 7.0 μl of purified DNA from mouse samples that were serially diluted with solution C6 by a factor of 1:3 (i.e., 1:0, 1:3, 1:9). For tissue sample types with a mean DNA concentration above 250 ng/μl, DNA concentrations were normalized to 80 ng/μl by dilution with solution C6 before being serially diluted and spiked with E. coli genomic DNA. Genomic DNA was quantified using a Qubit 3.0 fluorometer with a Qubit dsDNA HS assay kit (Life Technologies, Carlsbad, CA) according to the manufacturer’s protocol. Three microliters of each spiked sample was then used as a template for qPCR. For all samples, spiked reaction mixtures contained approximately 1.0 × 103 E. coli 16S rRNA gene copies. There was no evidence of DNA amplification inhibition (see Fig. S1A and B in the supplemental material).

FIG S1

Quantification of bacterial loads in maternal, placental, and fetal samples and background technical controls, showing no evidence of amplification inhibition for genomic DNA extracted from murine samples. (A) Cycle of quantification values of a subset of serially diluted maternal, placental, and fetal genomic DNA samples.( B) Cycle of quantification values of the same serially diluted genomic DNA samples spiked with equal concentrations (1.0 × 103 copies per reaction mixture) of genomic DNA from Escherichia coli ATCC 25922. Download FIG S1, TIF file, 1.3 MB (1.3MB, tif) .

Copyright © 2020 Theis et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Total bacterial DNA abundance within samples was measured via amplification of the V1-V2 region of the 16S rRNA gene by the protocol of Dickson et al. (49) with minor modifications. These modifications included the use of a degenerative forward primer (27f-CM [5′-AGA GTT TGA TCM TGG CTC AG-3′]) (50) and a degenerate probe containing locked nucleic acids (+) (BSR65/17 [5′-6-carboxyfluorescein (56FAM)-TAA +YA+C ATG +CA+A GT+C GA-black hole quencher 1 [BHQ1]-3′]). Each 20-μl reaction mixture contained 0.6 μM 27f-CM primer, 0.6 μM 357R primer (5′-CTG CTG CCT YCC GTA G-3′), 0.25 μM BSR65/17 probe, 10.0 μl of 2× TaqMan Environmental Master Mix 2.0 (Life Technologies, Carlsbad, CA), and 3.0 μl of either purified DNA (diluted to 80 ng/μl when possible), elution buffer, or nuclease-free water. The total bacterial DNA qPCR was performed using the following conditions: 95°C for 10 min, followed by 45 cycles consisting of 94°C for 30 s, 50°C for 30 s, and 72°C for 30 s. Duplicate reactions were run for all samples. All samples were run across a total of five runs.

Raw amplification data were normalized to the ROX passive reference dye and analyzed using the on-line platform Thermo Fisher Cloud: Standard Curve (SR) 3.3.0-SR2-build15 with automatic threshold and baseline settings. Cycle of quantification (Cq) values were calculated for samples based on the mean number of cycles required for normalized fluorescence to exponentially increase.

After plotting a regression of log E. coli 16S rRNA gene copy number and Cq value for standard curves included in each qPCR run, 16S rRNA gene copy number in mouse samples was calculated according to Gallup (51) using the equation Xo = EAMPb − Cq, where EAMP is the exponential amplification value for the qPCR assay, calculated as EAMP = 10−1/m and b and m are the intercept and slope of the regression.

16S rRNA gene sequencing of swab and tissue sample extracts.

Amplification and sequencing of the V4 region of the 16S rRNA gene were performed at the University of Michigan’s Center for Microbial Systems as previously described (52), except that library builds were performed in triplicate and pooled for each individual sample prior to the equimolar pooling of all sample libraries for multiplex sequencing.

Raw sequence reads were processed using mothur software (v1.39.5) (53) following the standard operating procedure provided by Schloss et al. (www.mothur.org/wiki/MiSeq_SOP). Paired-end reads were assembled into contiguous sequences, quality checked (maximum length = 275, maximum ambiguous base pairs = 0, and maximum number of homopolymers = 8), and aligned against the SILVA 16S rDNA reference database (release 102) (54, 55); sequences falling outside the target alignment space were removed. Quality sequences were preclustered (diffs = 2), and chimeric sequences were identified with VSEARCH (56) and removed. The remaining sequences were taxonomically classified using the SILVA reference database with a k-nearest neighbor approach and a confidence threshold of 80%. Sequences derived from an unknown domain, Eukaryota, Archaea, chloroplasts, or mitochondria were removed. Operational taxonomic units (OTUs) were defined by clustering sequences at a 97% sequence similarity cutoff using the average neighbor method.

The R package decontam (57) was used to identify OTUs that were potential background DNA contaminants based on their pattern of occurrence in biological versus technical control samples. Specifically, the “IsNotContaminant” method was used with a prevalence threshold of P = 0.5. In this study, decontam analyses were run separately for the swab and tissue samples. An OTU was deemed a contaminant if it was identified as such by decontam in both the swab and tissue analyses and was present in at least one-third of the total technical controls at a relative abundance greater than 1%.

Statistical analysis.

The bacterial loads, as assessed through qPCR, of maternal, placental, and fetal samples were compared to those of background technical controls (i.e., sterile Dacron swabs and blank DNA extraction kits) using t tests or Mann-Whitney U tests with sequential Bonferroni corrections applied. The bacterial loads of placental and fetal tissues were compared to one another using Wilcoxon matched pair tests, again corrected for multiple comparisons.

The beta diversity of 16S rRNA gene profiles among maternal, placental, fetal and technical control samples was characterized using the Bray-Curtis similarity index. Bray-Curtis similarities in sample profiles were visualized using principal-coordinate analysis (PCoA) plots and statistically evaluated using nonparametric multivariate analysis of variance (NPMANOVA). These analyses were limited to samples that yielded a 16S rRNA gene library with ≥250 quality-filtered sequences and a Good’s coverage of ≥95%. All data analysis was completed by using PAST software (v 3.25) (58). Heat maps of sample bacterial profiles were generated using the open-source software program Morpheus (https://software.broadinstitute.org/morpheus).

Data availability.

Sample-specific MiSeq run files have been deposited in the NCBI Sequence Read Archive (BioProject identifier [ID] PRJNA594727).

ACKNOWLEDGMENTS

We thank Chengrui (Richard) Zou and George Schwenkel for maintenance of the animal facility.

This research was supported, in part, by the Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS) and, in part, with federal funds from NICHD/NIH/DHHS under contract HHSN275201300006C.

Roberto Romero has contributed to this work as part of his official duties as an employee of the U.S. Federal Government.

REFERENCES

  • 1.Aagaard K, Ma J, Antony KM, Ganu R, Petrosino J, Versalovic J. 2014. The placenta harbors a unique microbiome. Sci Transl Med 6:237ra65. doi: 10.1126/scitranslmed.3008599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Doyle RM, Alber DG, Jones HE, Harris K, Fitzgerald F, Peebles D, Klein N. 2014. Term and preterm labour are associated with distinct microbial community structures in placental membranes which are independent of mode of delivery. Placenta 35:1099–1101. doi: 10.1016/j.placenta.2014.10.007. [DOI] [PubMed] [Google Scholar]
  • 3.Antony KM, Ma J, Mitchell KB, Racusin DA, Versalovic J, Aagaard K. 2015. The preterm placental microbiome varies in association with excess maternal gestational weight gain. Am J Obstet Gynecol 212:653.e1–653.16. doi: 10.1016/j.ajog.2014.12.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zheng J, Xiao X, Zhang Q, Mao L, Yu M, Xu J. 2015. The placental microbiome varies in association with low birth weight in full-term neonates. Nutrients 7:6924–6937. doi: 10.3390/nu7085315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bassols J, Serino M, Carreras-Badosa G, Burcelin R, Blasco-Baque V, Lopez-Bermejo A, Fernandez-Real JM. 2016. Gestational diabetes is associated with changes in placental microbiota and microbiome. Pediatr Res 80:777–784. doi: 10.1038/pr.2016.155. [DOI] [PubMed] [Google Scholar]
  • 6.Collado MC, Rautava S, Aakko J, Isolauri E, Salminen S. 2016. Human gut colonisation may be initiated in utero by distinct microbial communities in the placenta and amniotic fluid. Sci Rep 6:23129. doi: 10.1038/srep23129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lauder AP, Roche AM, Sherrill-Mix S, Bailey A, Laughlin AL, Bittinger K, Leite R, Elovitz MA, Parry S, Bushman FD. 2016. Comparison of placenta samples with contamination controls does not provide evidence for a distinct placenta microbiota. Microbiome 4:29. doi: 10.1186/s40168-016-0172-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Prince AL, Ma J, Kannan PS, Alvarez M, Gisslen T, Harris RA, Sweeney EL, Knox CL, Lambers DS, Jobe AH, Chougnet CA, Kallapur SG, Aagaard KM. 2016. The placental membrane microbiome is altered among subjects with spontaneous preterm birth with and without chorioamnionitis. Am J Obstet Gynecol 214:627.e1–627.e16. doi: 10.1016/j.ajog.2016.01.193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Doyle RM, Harris K, Kamiza S, Harjunmaa U, Ashorn U, Nkhoma M, Dewey KG, Maleta K, Ashorn P, Klein N. 2017. Bacterial communities found in placental tissues are associated with severe chorioamnionitis and adverse birth outcomes. PLoS One 12:e0180167. doi: 10.1371/journal.pone.0180167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gomez-Arango LF, Barrett HL, McIntyre HD, Callaway LK, Morrison M, Nitert MD. 2017. Contributions of the maternal oral and gut microbiome to placental microbial colonization in overweight and obese pregnant women. Sci Rep 7:2860. doi: 10.1038/s41598-017-03066-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Parnell LA, Briggs CM, Cao B, Delannoy-Bruno O, Schrieffer AE, Mysorekar IU. 2017. Microbial communities in placentas from term normal pregnancy exhibit spatially variable profiles. Sci Rep 7:11200. doi: 10.1038/s41598-017-11514-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zheng J, Xiao XH, Zhang Q, Mao LL, Yu M, Xu JP, Wang T. 2017. Correlation of placental microbiota with fetal macrosomia and clinical characteristics in mothers and newborns. Oncotarget 8:82314–82325. doi: 10.18632/oncotarget.19319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lager S, de Goffau MC, Sovio U, Peacock SJ, Parkhill J, Charnock-Jones DS, Smith G. 2018. Detecting eukaryotic microbiota with single-cell sensitivity in human tissue. Microbiome 6:151. doi: 10.1186/s40168-018-0529-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Leiby JS, McCormick K, Sherrill-Mix S, Clarke EL, Kessler LR, Taylor LJ, Hofstaedter CE, Roche AM, Mattei LM, Bittinger K, Elovitz MA, Leite R, Parry S, Bushman FD. 2018. Lack of detection of a human placenta microbiome in samples from preterm and term deliveries. Microbiome 6:196. doi: 10.1186/s40168-018-0575-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Leon LJ, Doyle R, Diez-Benavente E, Clark TG, Klein N, Stanier P, Moore GE. 2018. Enrichment of clinically relevant organisms in spontaneous preterm-delivered placentas and reagent contamination across all clinical groups in a large pregnancy cohort in the United Kingdom. Appl Environ Microbiol 84:e00483-18. doi: 10.1128/AEM.00483-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Seferovic MD, Pace RM, Meyer KM, Beninati M, Chu DM, Liu X, Li F, Aagaard K. 2018. 113: Taxonomic changes of placental microbes with bacterial-metabolized ursodeoxycholic acid treatment in IHCP is indicative of a functional placental microbiome. Am J Obstet Gynecol 218:S81. doi: 10.1016/j.ajog.2017.10.524. [DOI] [Google Scholar]
  • 17.de Goffau MC, Lager S, Sovio U, Gaccioli F, Cook E, Peacock SJ, Parkhill J, Charnock-Jones DS, Smith G. 2019. Human placenta has no microbiome but can contain potential pathogens. Nature 572:329–334. doi: 10.1038/s41586-019-1451-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kuperman AA, Zimmerman A, Hamadia S, Ziv O, Gurevich V, Fichtman B, Gavert N, Straussman R, Rechnitzer H, Barzilay M, Shvalb S, Bornstein J, Ben-Shachar I, Yagel S, Haviv I, Koren O. 2020. Deep microbial analysis of multiple placentas shows no evidence for a placental microbiome. BJOG 127:159–169. doi: 10.1111/1471-0528.15896. [DOI] [PubMed] [Google Scholar]
  • 19.Meyer KM, Pace RM, Prince AL, Seferovic M, Chu DM, Aagaard KM. 2019. 940: Comparison of placenta with DNA extraction controls provides evidence for distinct microbiota in placenta samples. Am J Obstet Gynecol 220:S606–S607. doi: 10.1016/j.ajog.2018.11.964. [DOI] [Google Scholar]
  • 20.Seferovic MD, Pace RM, Carroll M, Belfort B, Major AM, Chu DM, Racusin DA, Castro ECC, Muldrew KL, Versalovic J, Aagaard KM. 2019. Visualization of microbes by 16S in situ hybridization in term and preterm placentas without intraamniotic infection. Am J Obstet Gynecol 221:146.e1–146.e23. doi: 10.1016/j.ajog.2019.04.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Theis KR, Romero R, Winters AD, Greenberg JM, Gomez-Lopez N, Alhousseini A, Bieda J, Maymon E, Pacora P, Fettweis JM, Buck GA, Jefferson KK, Strauss JF III, Erez O, Hassan SS. 2019. Does the human placenta delivered at term have a microbiota? Results of cultivation, quantitative real-time PCR, 16S rRNA gene sequencing, and metagenomics. Am J Obstet Gynecol 220:267.e1–267.e39. doi: 10.1016/j.ajog.2018.10.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Younge N, McCann JR, Ballard J, Plunkett C, Akhtar S, Araujo-Perez F, Murtha A, Brandon D, Seed PC. 2019. Fetal exposure to the maternal microbiota in humans and mice. JCI Insight 4:e127806. doi: 10.1172/jci.insight.127806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pelzer E, Gomez-Arango LF, Barrett HL, Nitert MD. 2017. Review: Maternal health and the placental microbiome. Placenta 54:30–37. doi: 10.1016/j.placenta.2016.12.003. [DOI] [PubMed] [Google Scholar]
  • 24.Perez-Munoz ME, Arrieta MC, Ramer-Tait AE, Walter J. 2017. A critical assessment of the “sterile womb” and “in utero colonization” hypotheses: implications for research on the pioneer infant microbiome. Microbiome 5:48. doi: 10.1186/s40168-017-0268-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.de Goffau MC, Lager S, Salter SJ, Wagner J, Kronbichler A, Charnock-Jones DS, Peacock SJ, Smith GCS, Parkhill J. 2018. Recognizing the reagent microbiome. Nat Microbiol 3:851–853. doi: 10.1038/s41564-018-0202-y. [DOI] [PubMed] [Google Scholar]
  • 26.Bushman FD. 2019. De-discovery of the placenta microbiome. Am J Obstet Gynecol 220:213–214. doi: 10.1016/j.ajog.2018.11.1093. [DOI] [PubMed] [Google Scholar]
  • 27.Fischer LA, Demerath E, Bittner-Eddy P, Costalonga M. 2019. Placental colonization with periodontal pathogens: the potential missing link. Am J Obstet Gynecol 221:383–392.e3. doi: 10.1016/j.ajog.2019.04.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.O’Callaghan JL, Turner R, Dekker Nitert M, Barrett HL, Clifton V, Pelzer ES. 2020. Re-assessing microbiomes in the low-biomass reproductive niche. BJOG 127:147–158. doi: 10.1111/1471-0528.15974. [DOI] [PubMed] [Google Scholar]
  • 29.Peric A, Weiss J, Vulliemoz N, Baud D, Stojanov M. 2019. Bacterial colonization of the female upper genital tract. Int J Mol Sci 20:3405. doi: 10.3390/ijms20143405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Stinson LF, Boyce MC, Payne MS, Keelan JA. 2019. The not-so-sterile womb: evidence that the human fetus is exposed to bacteria prior to birth. Front Microbiol 10:1124. doi: 10.3389/fmicb.2019.01124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Chu D, Stewart C, Seferovic M, Suter M, Cox J, Vidaeff A, Aagaard K. 2017. 26: Profiling of microbiota in second trimester amniotic fluid reveals a distinctive community present in the mid trimester and predictive of the placental microbiome at parturition. Am J Obstet Gynecol 216:S18–S19. doi: 10.1016/j.ajog.2016.11.917. [DOI] [Google Scholar]
  • 32.Rehbinder EM, Lødrup Carlsen KC, Staff AC, Angell IL, Landrø L, Hilde K, Gaustad P, Rudi K. 2018. Is amniotic fluid of women with uncomplicated term pregnancies free of bacteria? Am J Obstet Gynecol 219:289.e1–289.e12. doi: 10.1016/j.ajog.2018.05.028. [DOI] [PubMed] [Google Scholar]
  • 33.Borghi E, Massa V, Severgnini M, Fazio G, Avagliano L, Menegola E, Bulfamante GP, Morace G, Borgo F. 2019. Antenatal microbial colonization of mammalian gut. Reprod Sci 26:1045–1053. doi: 10.1177/1933719118804411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Stout MJ, Conlon B, Landeau M, Lee I, Bower C, Zhao Q, Roehl KA, Nelson DM, Macones GA, Mysorekar IU. 2013. Identification of intracellular bacteria in the basal plate of the human placenta in term and preterm gestations. Am J Obstet Gynecol 208:226.e1–226.e7. doi: 10.1016/j.ajog.2013.01.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Cao B, Mysorekar IU. 2014. Intracellular bacteria in placental basal plate localize to extravillous trophoblasts. Placenta 35:139–142. doi: 10.1016/j.placenta.2013.12.007. [DOI] [PubMed] [Google Scholar]
  • 36.Kliman HJ. 2014. Comment on “the placenta harbors a unique microbiome.” Sci Transl Med 6:254le4. doi: 10.1126/scitranslmed.3009864. [DOI] [PubMed] [Google Scholar]
  • 37.Gomez de Aguero M, Ganal-Vonarburg SC, Fuhrer T, Rupp S, Uchimura Y, Li H, Steinert A, Heikenwalder M, Hapfelmeier S, Sauer U, McCoy KD, Macpherson AJ. 2016. The maternal microbiota drives early postnatal innate immune development. Science 351:1296–1302. doi: 10.1126/science.aad2571. [DOI] [PubMed] [Google Scholar]
  • 38.Satokari R, Gronroos T, Laitinen K, Salminen S, Isolauri E. 2009. Bifidobacterium and Lactobacillus DNA in the human placenta. Lett Appl Microbiol 48:8–12. doi: 10.1111/j.1472-765X.2008.02475.x. [DOI] [PubMed] [Google Scholar]
  • 39.Rautava S, Collado MC, Salminen S, Isolauri E. 2012. Probiotics modulate host-microbe interaction in the placenta and fetal gut: a randomized, double-blind, placebo-controlled trial. Neonatology 102:178–184. doi: 10.1159/000339182. [DOI] [PubMed] [Google Scholar]
  • 40.Martinez KA II, Romano-Keeler J, Zackular JP, Moore DJ, Brucker RM, Hooper C, Meng S, Brown N, Mallal S, Reese J, Aronoff DM, Shin H, Dominguez-Bello MG, Weitkamp JH. 2018. Bacterial DNA is present in the fetal intestine and overlaps with that in the placenta in mice. PLoS One 13:e0197439. doi: 10.1371/journal.pone.0197439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Chu D, Prince A, Ma J, Baquero K, Blundell P, Takahashi D, Dean T, Grove K, Aagaard K. 2017. 114: Evidence of fetal microbiota and its maternal origins in a non-human primate model. Am J Obstet Gynecol 216:S80. doi: 10.1016/j.ajog.2016.11.1004. [DOI] [Google Scholar]
  • 42.Prince A, Chu D, Meyer K, Ma J, Baquero K, Blundell P, Dean T, Takahashi D, Friedman J, Grove K, Aagaard K. 2017. 23: The fetal microbiome is altered in association with maternal diet during gestation. Am J Obstet Gynecol 216:S17. doi: 10.1016/j.ajog.2016.11.914. [DOI] [Google Scholar]
  • 43.Chu D, Prince A, Ma J, Pace R, Takahashi D, Friedman J, Kievit P, Sullivan E, Grove K, Aagaard K. 2018. 115: Contribution of the fetal microbiome to the taxonomic diversity and functionality of the postnatal gut microbiome in a non-human primate (NHP) model. Am J Obstet Gynecol 218:S82–S83. doi: 10.1016/j.ajog.2017.10.526. [DOI] [Google Scholar]
  • 44.Prince A, Ma J, Hu M, Chu D, Miller L, Jobe A, Chougnet C, Kallapur S, Aagaard K. 2018. 843: Chorioamnionitis induced by intra-amniotic injection of IL-1, LPS, or ureaplasma parvum is associated with an altered microbiome in a primate model of inflammatory preterm birth. Am J Obstet Gynecol 218:S503. doi: 10.1016/j.ajog.2017.11.380. [DOI] [Google Scholar]
  • 45.Prince AL, Ma J, Hu M, Chu DM, Miller L, Jobe A, Chougnet C, Kallapur S, Aagaard KM. 2019. 521: Intra-amniotic injection alters the intrauterine microbiome in a primate model of inflammatory preterm birth. Am J Obstet Gynecol 220:S349. doi: 10.1016/j.ajog.2018.11.543. [DOI] [Google Scholar]
  • 46.Stevenson BS, Eichorst SA, Wertz JT, Schmidt TM, Breznak JA. 2004. New strategies for cultivation and detection of previously uncultured microbes. Appl Environ Microbiol 70:4748–4755. doi: 10.1128/AEM.70.8.4748-4755.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol 215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  • 48.Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD. 2013. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl Environ Microbiol 79:5112–5120. doi: 10.1128/AEM.01043-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Dickson RP, Erb-Downward JR, Freeman CM, Walker N, Scales BS, Beck JM, Martinez FJ, Curtis JL, Lama VN, Huffnagle GB. 2014. Changes in the lung microbiome following lung transplantation include the emergence of two distinct Pseudomonas species with distinct clinical associations. PLoS One 9:e97214. doi: 10.1371/journal.pone.0097214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Frank JA, Reich CI, Sharma S, Weisbaum JS, Wilson BA, Olsen GJ. 2008. Critical evaluation of two primers commonly used for amplification of bacterial 16S rRNA genes. Appl Environ Microbiol 74:2461–2470. doi: 10.1128/AEM.02272-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Gallup J. 2001. qPCR inhibition and amplification of difficult templates, p 1–59. In Kennedy S, Oswald N (ed), PCR troubleshooting and optimization: the essential guide. Caister Academic Press, Norfolk, United Kingdom. [Google Scholar]
  • 52.Winters AD, Romero R, Gervasi MT, Gomez-Lopez N, Tran MR, Garcia-Flores V, Pacora P, Jung E, Hassan SS, Hsu CD, Theis KR. 2019. Does the endometrial cavity have a molecular microbial signature? Sci Rep 9:9905. doi: 10.1038/s41598-019-46173-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. 2009. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541. doi: 10.1128/AEM.01541-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Pruesse E, Quast C, Knittel K, Fuchs BM, Ludwig W, Peplies J, Glockner FO. 2007. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res 35:7188–7196. doi: 10.1093/nar/gkm864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590–D596. doi: 10.1093/nar/gks1219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Rognes T, Flouri T, Nichols B, Quince C, Mahe F. 2016. VSEARCH: a versatile open source tool for metagenomics. PeerJ 4:e2584. doi: 10.7717/peerj.2584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Davis NM, Proctor DM, Holmes SP, Relman DA, Callahan BJ. 2018. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome 6:226. doi: 10.1186/s40168-018-0605-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hammer O, Harper D, Ryan P. 2001. PAST: Paleontological Statistics software package for education and data analysis. Palaeontol Electron 4:1–9. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

FIG S1

Quantification of bacterial loads in maternal, placental, and fetal samples and background technical controls, showing no evidence of amplification inhibition for genomic DNA extracted from murine samples. (A) Cycle of quantification values of a subset of serially diluted maternal, placental, and fetal genomic DNA samples.( B) Cycle of quantification values of the same serially diluted genomic DNA samples spiked with equal concentrations (1.0 × 103 copies per reaction mixture) of genomic DNA from Escherichia coli ATCC 25922. Download FIG S1, TIF file, 1.3 MB (1.3MB, tif) .

Copyright © 2020 Theis et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Data Availability Statement

Sample-specific MiSeq run files have been deposited in the NCBI Sequence Read Archive (BioProject identifier [ID] PRJNA594727).


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