scholarly journals Fetal Tissues Tested for Microbial Sterility by Culture- and PCR-Based Methods Can be Safely Used in Clinics

2017 ◽  
Vol 26 (2) ◽  
pp. 339-350 ◽  
Author(s):  
Yakov Vitrenko ◽  
Iryna Kostenko ◽  
Kateryna Kulebyakina ◽  
Alla Duda ◽  
Mariya Klunnyk ◽  
...  

Cell preparations to be used in clinical practice must be free of infectious agents. Safety concerns are especially elevated upon the use of human fetal tissues, which are otherwise highly advantageous in cell therapy. We demonstrate that treating fetal samples with antibiotic, extensive washing, and homogenization prior to cryoconservation efficiently removes microbes in general. Screening a large collection by an automatic culture system showed that 89.2% fetal tissue samples were sterile, while contamination was detected in 10.8% samples. Liver and chorion were contaminated more than the brain, kidney, lung, and soft tissues. Broad-range PCR from the bacterial 16s rRNA gene was adopted as a confirmatory assay; however, the concordance between the culture-based and PCR assays was weak. Taxonomic identification was done for contaminated samples by bacteriological methods and sequencing 16s rRNA PCR products. The two approaches revealed different spectra of taxonomic groups sharing only Lactobacillus, the most frequently found genus. In addition, other representatives of vaginal microbiota were detected by culture-based identification, while PCR product sequencing has also revealed a subset of nosocomial microorganisms. Importantly, species known to cause sepsis were identified by both techniques, arguing for their indispensability and mutual complementarity. We suggest that most contaminations are taken up during collection of fetal material rather than originating from an in utero infection. In conclusion, a rigorous microbiological control by culture and PCR is a prerequisite for safe clinical use of fetal tissue suspensions.

mSphere ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Kevin R. Theis ◽  
Roberto Romero ◽  
Jonathan M. Greenberg ◽  
Andrew D. Winters ◽  
Valeria Garcia-Flores ◽  
...  

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.


2018 ◽  
Author(s):  
Karen G. Lloyd ◽  
Joshua Ladau ◽  
Andrew D. Steen ◽  
Junqi Yin ◽  
Lonnie Crosby

AbstractTo unequivocally determine a microbe’s physiology, including its metabolism, environmental roles, and growth characteristics, it must be grown in a laboratory culture. Unfortunately, many phylogenetically-novel groups have never been cultured, so their physiologies have only been inferred from genomics and environmental characteristics. Although the diversity, or number of different taxonomic groups, of uncultured clades has been well-studied, their global abundances, or number of cells in any given environment, have not been assessed. We quantified the degree of similarity of 16S rRNA gene sequences from diverse environments in publicly-available metagenome and metatranscriptome databases, which we show are largely free of the culture-bias present in primer-amplified 16S rRNA gene surveys, to their nearest cultured relatives. Whether normalized to scaffold read depths or not, the highest abundance of metagenomic 16S rRNA gene sequences belong to phylogenetically novel uncultured groups in seawater, freshwater, terrestrial subsurface, soil, hypersaline environments, marine sediment, hot springs, hydrothermal vents, non-human hosts, snow and bioreactors (22-87% uncultured genera to classes and 0-64% uncultured phyla). The exceptions were human and human-associated environments which were dominated by cultured genera (45-97%). We estimate that uncultured genera and phyla could comprise 7.3 × 1029(81%) and 2.2 × 1029(25%) microbial cells, respectively. Uncultured phyla were over-represented in meta transcript omes relative to metagenomes (46-84% of sequences in a given environment), suggesting that they are viable, and possibly more active than cultured clades. Therefore, uncultured microbes, often from deeply phylogenetically divergent groups, dominate non-human environments on Earth, and their undiscovered physiologies may matter for Earth systems.


2002 ◽  
Vol 68 (8) ◽  
pp. 3818-3829 ◽  
Author(s):  
Christopher Rösch ◽  
Alexander Mergel ◽  
Hermann Bothe

ABSTRACT Isolated soil DNA from an oak-hornbeam forest close to Cologne, Germany, was suitable for PCR amplification of gene segments coding for the 16S rRNA and nitrogenase reductase (NifH), nitrous oxide reductase (NosZ), cytochrome cd 1-containing nitrite reductase (NirS), and Cu-containing nitrite reductase (NirK) of denitrification. For each gene segment, diverse PCR products were characterized by cloning and sequencing. None of the 16S rRNA gene sequences was identical to any deposited in the data banks, and therefore each of them belonged to a noncharacterized bacterium. In contrast, the analyzed clones of nifH gave only a few different sequences, which occurred many times, indicating a low level of species richness in the N2-fixing bacterial population in this soil. Identical nifH sequences were also detected in PCR amplification products of DNA of a soil approximately 600 km distant from the Cologne area. Whereas biodiversity was high in the case of nosZ, only a few different sequences were obtained with nirK. With respect to nirS, cloning and sequencing of the PCR products revealed that many false gene segments had been amplified with DNA from soil but not from cultured bacteria. With the 16S rRNA gene data, many sequences of uncultured bacteria belonging to the Acidobacterium phylum and actinomycetes showed up in the PCR products when isolated DNA was used as the template, whereas sequences obtained for nifH and for the denitrification genes were closely related to those of the proteobacteria. Although in such an experimental approach one has to cope with the enormous biodiversity in soils and only a few PCR products can be selected at random, the data suggest that denitrification and N2 fixation are not genetic traits of most of the uncultured bacteria.


2011 ◽  
Vol 23 (6) ◽  
pp. 531-536 ◽  
Author(s):  
Rebecca O.M. Cowie ◽  
Elizabeth W. Maas ◽  
Ken G. Ryan

AbstractArchaea, once thought to be only extremophiles, are now known to be abundant in most environments. They can predominate in microbial communities and be significantly involved in many global biogeochemical cycles. However, Archaea have not been reported in Antarctic sea ice. Our understanding of the ecology of Antarctic sea ice prokaryotes is still in its infancy but this information is important if we are to understand their diversity, adaptations and biogeochemical roles in Antarctic systems. We detected Archaea in sea ice at two sampling sites taken from three subsequent years using conserved 16S rRNA gene archaeal primers and PCR. Archaeal abundance was measured using quantitative PCR and community diversity was investigated by sequencing cloned 16S rRNA gene PCR products. Archaea in Antarctic sea ice were found to be in low abundance consisting of ≤ 6.6% of the prokaryotic community. The majority, 90.8% of the sequences, clustered with the recently described phylumThaumarchaeota, one group closely clustered with the ammonia-oxidizing CandidatusNitrosopumilus maritimus. The remainder of the clones grouped with theEuryarchaeota.


2003 ◽  
Vol 69 (7) ◽  
pp. 4249-4255 ◽  
Author(s):  
Jorge L. M. Rodrigues ◽  
M. E. Silva-Stenico ◽  
J. E. Gomes ◽  
J. R. S. Lopes ◽  
S. M. Tsai

ABSTRACT The causal agent of diseases in many economically important plants is attributed to the xylem-limited bacterium Xylella fastidiosa. The detection of this plant pathogen has been hampered due to its difficult isolation and slow growth on plates. Nearly complete nucleotide sequences of the 16S rRNA gene and partial sequences of the gyrB gene were determined for 18 strains of X. fastidiosa isolated from different plant hosts. A phylogenetic analysis, based on gyrB, grouped strains in three clusters; grape-isolated strains formed one cluster, citrus-coffee strains formed another cluster, and a third cluster resulted from all other strains. Primer pairs designed for the 16S rRNA and gyrB genes were extensively searched in databases to verify their in silico specificity. Primer pairs were certified with 30 target and 36 nontarget pure cultures of microorganisms, confirming 100% specificity. A multiplex PCR protocol was developed and its sensitivity tested. Sequencing of PCR products confirmed the validity of the multiplex PCR. Xylella fastidiosa was detected in field-collected plants, disease vector insects, and nonsymptomatic but infected plants. Specific detection of X. fastidiosa may facilitate the understanding of its ecological significance and prevention of spread of the disease.


2005 ◽  
Vol 71 (12) ◽  
pp. 8966-8969 ◽  
Author(s):  
Silvia G. Acinas ◽  
Ramahi Sarma-Rupavtarm ◽  
Vanja Klepac-Ceraj ◽  
Martin F. Polz

ABSTRACT The contribution of PCR artifacts to 16S rRNA gene sequence diversity from a complex bacterioplankton sample was estimated. Taq DNA polymerase errors were found to be the dominant sequence artifact but could be constrained by clustering the sequences into 99% sequence similarity groups. Other artifacts (chimeras and heteroduplex molecules) were significantly reduced by employing modified amplification protocols. Surprisingly, no skew in sequence types was detected in the two libraries constructed from PCR products amplified for different numbers of cycles. Recommendations for modification of amplification protocols and for reporting diversity estimates at 99% sequence similarity as a standard are given.


2018 ◽  
Vol 81 (5) ◽  
pp. 848-859
Author(s):  
MIYO NAKANO

ABSTRACT High-throughput sequencing of the 16S rRNA gene enhances understanding of microbial diversity from complex environmental samples. The 16S rRNA gene is currently the most important target in bacterial evolution and ecology studies, particularly for determination of phylogenetic relationships among taxa, exploration of bacterial diversity in a given environment, and quantification of the relative abundance of taxa at various levels. However, some parts of the conserved region of the bacterial 16S rRNA gene are similar to the conserved regions of plant chloroplasts and eukaryotic mitochondria. Therefore, if DNA contains a large amount of nontarget DNA, this nontarget DNA can be coamplified and consequently produce useless sequence reads. We experimentally assessed the primer pair 335f/769r and the widely used bacterial primer pair SD (S-D-Bact-0341-b-S-17/S-D-Bact-0785-a-A-21). The primer pair 335f/769r was examined for its ability to amplify bacterial DNA in plant and animal feed samples by using the single-strand confirmation polymorphism method. In our present study, these primer pairs were validated for microbial community structure analysis with complex food matrices by using next-generation sequencing. The sequencing results revealed that the primer pair 335f/769r successfully resulted in fewer chloroplast and mitochondrial sequence reads than generated by the universal primer pair SD and therefore is comparatively suitable for metagenomic analyses of complex food matrices, particularly those that are rich in plant DNA. Additionally, some taxonomic groups were missed entirely when only the SD primer pair was used.


Plant Disease ◽  
2021 ◽  
Author(s):  
Shao-shuai Yu ◽  
Yuan Wu ◽  
Wei wei Song

Melochia corchorifolia L. is a plant belonging to the family Sterculiaceae, extracts from this plant have been reported to inhibit melanogenesis (Yuan et al., 2020). During September to November 2020, the plants showing abnormal symptoms including witches’-broom, leaf chlorosis, leaflet and internode shortening (Fig.1), were found in Dingan county of Hainan province, China, with about 50% infection rates in the field. The disease symptoms were suspected to be caused by the phytoplasma, a plant pathogenic prokaryotes that could not be cultured in vitro. Aiming to confirm the pathogen causing the symptoms, total DNA of the symptomatic or asymptomatic Melochia corchorifolia samples were extracted by CTAB method (Doyle and Doyle, 1990) using 0.10 g fresh plant leaves using the rapid extraction kit for plant genomic DNA (CTAB Plant Genome DNA Rapid Extraction Kit, Aidlab Biotechnologies Co., Ltd, Beijing, China). PCR reactions were performed using primers R16mF2/R16mR1 (Gundersen and Lee, 1996) specific for phytoplasma 16S rRNA gene fragments. PCR products of phytoplasma 16S rRNA gene sequences were obtained from the ten symptomatic plant samples but not from the DNA of the asymptomatic plant samples. The PCR products were cloned and sequenced by Biotechnology (Shanghai) Co., Ltd. (Shanghai, China) and the data were deposited in GenBank. The sequences of 16S rRNA gene fragments amplified from the DNA extracted from the disease plant samples were all identical, with a length of 1336 bp for the 16S rRNA (GenBank accession: MZ353520). Nucleotide Blast search based on the 16S rRNA gene fragment of the phytoplasma strain showed 100% sequence identities with that of 16SrII peanut witches’-broom group members, such as Cassava witches’-broom phytoplasma (KM280679), Cleome sp. phytoplasma (KM280677), Tephrosia purpurea witches’-broom phytoplasma (MW616560), Desmodium triflorum little leaf phytoplasma (MT452308) and Peanut witches’-broom phytoplasma (JX403944). Analysis of the 16S rRNA gene sequence of McWB-hnda strain by interactive online phytoplasma classification tool iPhyClassifier (Zhao et al., 2009) indicated that the phytoplasma strain is a member of 16SrII-V subgroup. The phytoplasma strain was named as Melochia corchorifolia witches’-broom (McWB) phytoplasma, McWB-hnda strain. Phylogenetic analysis performed by MEGA 7.0 employing neighbor-joining (NJ) method with 1000 bootstrap value (Kumar et al., 2016) indicated that the McWB-hnda phytoplasma strain was clustered into one clade with the phytoplasma strains of Tephrosia purpurea witches’-broom, Cleome sp., Peanut witches’-broom, Cassava witches’-broom and Desmodium triflorum little leaf with 97 % bootstrap value (Fig.2); McWB-hnda phytoplasma strain identified in the study and Melochia corchorifolia phyllody phytoplasma strain (KX150461) belonging to 16SrI-B subgroup previously identified in the Hainan Island of China by Chen et al. (2017) are in two independent clades(Fig.2). To our knowledge, this is the first report of a 16SrII-V subgroup phytoplasma associated with Melochia corchorifolia witches’-broom disease in Hainan Province, a tropical island of China. The phytoplasma strain identified in the study was relatively close to 16SrII peanut witches’-broom group phytoplasma strains associated with witches’-broom or little leaf diseases in the plants like Peanut, Tephrosia purpurea, Cassava and Desmodium triflorum. Our finding in the study indicated that Melochia corchorifolia may act as an alternative natural host not only for 16SrI-B subgroup phytoplasma but also for 16SrII-V subgroup phytoplasma, which would contribute to the spreading of the related phytoplasma diseases.


2019 ◽  
Author(s):  
Philipp Rausch ◽  
Malte Rühlemann ◽  
Britt Hermes ◽  
Shauni Doms ◽  
Tal Dagan ◽  
...  

AbstractBackgroundThe interplay between hosts and their associated microbiome is now recognized as a fundamental basis of the ecology, evolution and development of both players. These interdependencies inspired a new view of multicellular organisms as “metaorganisms”. The goal of the Collaborative Research Center “Origin and Function of Metaorganisms” is to understand why and how microbial communities form long-term associations with hosts from diverse taxonomic groups, ranging from sponges to humans in addition to plants.MethodsIn order to optimize the choice of analysis procedures, which may differ according to the host organism and question at hand, we systematically compared the two main technical approaches for profiling microbial communities, 16S rRNA gene amplicon- and metagenomic shotgun sequencing across our panel of ten host taxa. This includes two commonly used 16S rRNA gene regions and two amplification procedures, thus totaling five different microbial profiles per host sample.ConclusionWhile 16S rRNA gene-based analyses are subject to much skepticism, we demonstrate that many aspects of bacterial community characterization are consistent across methods and that metagenomic shotgun results are largely dependent on the employed pipeline. The resulting insight facilitates the selection of appropriate methods across a wide range of host taxa. Finally, by contrasting taxonomic and functional profiles and performing phylogenetic analysis, we provide important and novel insight into broad evolutionary patterns among metaorganisms, whereby the transition of animals from an aquatic to a terrestrial habitat marks a major event in the evolution of host-associated microbial composition.


2013 ◽  
Vol 79 (21) ◽  
pp. 6593-6603 ◽  
Author(s):  
Sarah P. Preheim ◽  
Allison R. Perrotta ◽  
Antonio M. Martin-Platero ◽  
Anika Gupta ◽  
Eric J. Alm

ABSTRACT16S rRNA sequencing, commonly used to survey microbial communities, begins by grouping individual reads into operational taxonomic units (OTUs). There are two major challenges in calling OTUs: identifying bacterial population boundaries and differentiating true diversity from sequencing errors. Current approaches to identifying taxonomic groups or eliminating sequencing errors rely on sequence data alone, but both of these activities could be informed by the distribution of sequences across samples. Here, we show that using the distribution of sequences across samples can help identify population boundaries even in noisy sequence data. The logic underlying our approach is that bacteria in different populations will often be highly correlated in their abundance across different samples. Conversely, 16S rRNA sequences derived from the same population, whether slightly different copies in the same organism, variation of the 16S rRNA gene within a population, or sequences generated randomly in error, will have the same underlying distribution across sampled environments. We present a simple OTU-calling algorithm (distribution-based clustering) that uses both genetic distance and the distribution of sequences across samples and demonstrate that it is more accurate than other methods at grouping reads into OTUs in a mock community. Distribution-based clustering also performs well on environmental samples: it is sensitive enough to differentiate between OTUs that differ by a single base pair yet predicts fewer overall OTUs than most other methods. The program can decrease the total number of OTUs with redundant information and improve the power of many downstream analyses to describe biologically relevant trends.


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