Amplicon Sequencing Method Research Articles

Patterns of (trace) metals and microorganisms in the Rainbow hydrothermal vent plume at the Mid-Atlantic Ridge

Abstract. Hydrothermal vent fields found at mid-ocean ridges emit hydrothermal fluids that disperse as neutrally buoyant plumes. From these fluids seafloor massive sulfides (SMS) deposits are formed, which are being explored as possible new mining sites for (trace) metals and rare earth elements (REEs). It has been suggested that during mining activities large amounts of suspended matter will appear in the water column due to excavation processes and discharge of mining waste from the surface vessel. Understanding how hydrothermal plumes can be characterised by means of geochemistry and microbiology as they spread away from their source and how they affect their surrounding environment may help in characterising the behaviour of the dilute distal part of chemically enriched mining plumes. This study on the extensive Rainbow hydrothermal plume, observed up to 25 km downstream from the vent site, enabled us to investigate how microbial communities and (trace) metal composition change in a natural plume with distance. The (trace) metal and REE content of suspended particulate matter (SPM) was determined using sector field inductively coupled plasma mass spectrometry (SF-ICP-MS) with high resolution (HR), and the microbial communities of the neutrally buoyant plume, above-plume, below-plume, and near-bottom water and sediment were characterised by using 16S rRNA amplicon sequencing methods. Both vertically in the water column and horizontally along the neutrally buoyant plume, geochemical and biological changes were evident, as the neutrally buoyant plume stood out by its enrichments in (trace) metals and REEs, as, for example, Fe, Cu, V, Mn and REEs were enriched by factors of up to ∼80, ∼90, ∼52, ∼2.5 and ∼40, respectively, compared to above-plume water samples taken at 1000 m water depth. The concentrations of these elements changed as the plume aged, shown by the decrease in element ∕ Fe molar ratios of chalcophile elements (Cu, Co, Zn), indicative of rapid removal from the hydrothermal plume or removal from the solid phase. Conversely, increasing REE ∕ Fe molar ratios imply uptake of REEs from the ambient seawater onto Fe-oxyhydroxides. This was also reflected in the background pelagic system, as Epsilonproteobacteria started to dominate and univariate microbial biodiversity declined with distance away from the Rainbow hydrothermal vent field. The Rainbow hydrothermal plume provides a geochemically enriched natural environment, which is a heterogeneous, dynamic habitat that is conducive to ecological changes in a short time span. This study of a hydrothermal plume provides a baseline study to characterise the natural plume before the interference of deep-sea mining.

A novel metabarcoded 18S ribosomal DNA sequencing tool for the detection of Plasmodium species in malaria positive patients

Various PCR based methods have been described for the diagnosis of malaria, but most depend on the use of Plasmodium species-specific probes and primers; hence only the tested species are identified and there is limited available data on the true circulating species diversity. Sensitive diagnostic tools and platforms for their use are needed to detect Plasmodium species in both clinical cases and asymptomatic infections that contribute to disease transmission. We have recently developed for the first time a novel high throughput ‘haemoprotobiome’ metabarcoded DNA sequencing method and applied it for the quantification of haemoprotozoan parasites (Theleria and Babesia) of livestock. Here, we describe a novel, high throughput method using an Illumina MiSeq platform to demonstrate the proportions of Plasmodium species in metabarcoded DNA samples derived from human malaria patients. Plasmodium falciparum and Plasmodium vivax positive control gDNA was used to prepare mock DNA pools of parasites to evaluate the detection threshold of the assay for each of the two species. The different mock pools demonstrate the accurate detection ability and to show the proportions of each of the species being present. We then applied the assay to malaria-positive human samples to show the species composition of Plasmodium communities in the Punjab province of Pakistan and in the Afghanistan-Pakistan tribal areas. The diagnostic performance of the deep amplicon sequencing method was compared to an immunochromatographic assay that is widely used in the region. The deep amplicon sequencing showed that P. vivax was present in 69.8%, P. falciparum in 29.5% and mixed infection in 0.7% patients examined. The immunochromatographic assay showed that P. vivax was present in 65.6%, P. falciparum in 27.4%, mixed infection 0.7% patients and 6.32% malaria-positive cases were negative in immunochromatographic assay, but positive in the deep amplicon sequencing. Overall, metabarcoded DNA sequencing demonstrates better diagnostic performance, greatly increasing the estimated prevalence of Plasmodium infection. The next-generation sequencing method using metabarcoded DNA has potential applications in the diagnosis, surveillance, treatment, and control of Plasmodium infections, as well as to study the parasite biology.

A method to generate multilocus barcodes of pinned insect specimens using MiSeq.

For molecular insect identification, amplicon sequencing methods are recommended because they offer a cost-effective approach for targeting small sets of informative genes from multiple samples. In this context, high-throughput multilocus amplicon sequencing has been achieved using the MiSeq Illumina sequencing platform. However, this approach generates short gene fragments of <500bp, which then have to be overlapped using bioinformatics to achieve longer sequence lengths. This increases the risk of generating chimeric sequences or leads to the formation of incomplete loci. Here, we propose a modified nested amplicon sequencing method for targeting multiple loci from pinned insect specimens using the MiSeq Illumina platform. The modification exists in using a three-step nested PCR approach targeting near full-length loci in the initial PCR and subsequently amplifying short fragments of between 300 and 350bp for high-throughput sequencing using Illumina chemistry. Using this method, we generated 407 sequences of three loci from 86% of all the specimens sequenced. Out of 103 pinned bee specimens of replicated species, 71% passed the 95% sequence similarity threshold between species replicates. This method worked best for pinned specimens aged between 0 and 5years, with a limit of 10years for pinned and 14years for ethanol-preserved specimens. Hence, our method overcomes some of the challenges of amplicon sequencing using short read next generation sequencing and improves the possibility of creating high-quality multilocus barcodes from insect collections.

Some Gammaproteobacteria are enriched within CD14+ macrophages from intestinal lamina propria of Crohn\u2019s disease patients versus mucus

Crohn’s disease causes chronic inflammation in the gastrointestinal tract and its pathogenesis remains unclear. In the intestine of Crohn’s disease patients, CD14+CD11+CD163low macrophages contribute to inflammation through the induction of Th17 cells and production of inflammatory cytokines; the CD14+CD11c+163high fraction is anti-inflammatory through the production of IL-10 in normal cases. In this report, the 16S rRNA gene amplicon sequencing method was used to identify bacteria that are specifically present in intestinal CD14+CD11c+ macrophages of Crohn’s disease patients. Bacteria present in intestinal CD14+CD11c+ macrophages and mucus of Crohn’s disease patients were separated into different clusters in principal coordinates analysis. There was a statistically significant increase in the relative composition of CD14+CD11c+ macrophages from mucus in two phyla (Proteobacteria [p = 0.01] and Actinobacteria [p = 0.02]) and two families (Moraxellaceae [p < 0.001] and Pseudomonadaceae [p = 0.01]). In addition, OTU-1: Acinetobacter and OTU-8: Pseudomonadaceae tended to concentrate in the CD14+CD11c+CD163low subset, whereas OTU-10: Proteus, OTU-15: Collinsella tended to concentrate more in the CD14+CD11c+CD163high subset than the other subset and mucus.

Snow microhabitats provide food resources for winter-active Collembola

The feeding ecology of soil animals is seldom investigated in the winter when the soil is covered with a layer of snow. Collembola (springtails) are winter-active arthropods that appear on the snow surface, especially on sunny days, and remain active in microhabitats under the snow. Since winter-active Collembola must be consuming food, we assessed the food resources for these Collembola with stable isotope and bacterial 16S rRNA gene amplicon sequencing methods. We collected two Desoria species from the snow surface and Tomocerus cf. jilinensis from subnivean microhabitats. The stable isotope signatures of winter-active Collembola species differed significantly from the soil litter layer. The isotopic signature of Desoria sp.1 was similar to the snow. Furthermore, the putative food resource (bacteria) ingested by Desoria sp.3 and Tomocerus cf. jilinensis were more from snow than from litter. All three Collembola species ingested a large proportion of Cyanobacteria. Moreover, a large proportion of bacteria associated with Collembola were putative symbionts. Bacterial communities and their associated metabolic functions were more similar in the two congeneric Desoria species than with Tomocerus cf. jilinensis. Our findings suggest that winter-active Collembola mainly feed on resources present in the snow layer. Stable isotope and amplicon sequencing methods are promising techniques to evaluate the diets of soil animals that remain active in snow-covered soils.

Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota

Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species’ demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.

Analysis of bacterial community dynamics in the manufacture process of lajiaojiang (red chili paste)

Lajiaojiang (red chili pastes) was a traditional food in China. This study aimed to reveal the structure and succession of bacterial communities in lajiaojiang production. The composition of bacteria communities in the three stages of lajiaojiang production, including pickled chili, fried chili and finished product, were investigated using 16S rRNA amplicon sequencing and qPCR method. Lactic acid bacteria (Lactobacillus and Leuconostoc) and Weissella were the core bacteria in pickled chili and the final product while Mesorhizobium species dominated the fried chili sample. The frying process changed the structure of bacteria community in lajiaojiang but the bacterial community structure in final product was recovered, indicating that the bacterial community of lajiaojiang was robust during the manufacture process. Lactic acid bacteria showed strong positive correlation with the bacteria existed in pickled chili and final product with relatively high abundance while negative correlation was observed between lactic acid bacteria and the bacteria existed in fried chili. The interactions between lactic acid bacteria and Mesorhizobium species was proposed to be the reason for the succession of bacteria community in lajiaojiang production.

Evaluation of accuracy and precision in an amplicon sequencing workflow for marine protist communities

AbstractAdvances in high‐throughput DNA sequencing methods reveal the vast diversity of marine protists. Amplicon sequencing of “barcode” genes, such as the 18S small subunit ribosomal RNA gene (henceforth, 18S gene), is a cost‐effective and widely used genetic method for assessing the composition of marine protist communities. This method is now being applied from local to global scales to interrogate the causes and consequences of protist community variations. Significant efforts have been made to validate amplicon methods targeting prokaryotes, but the precision, accuracy, and quantitative potential of 18S gene amplicon sequencing methods for marine protists remain unclear. Here, we use artificial (mock) communities and environmental samples collected from the Santa Barbara Channel, CA to evaluate the precision and accuracy in an amplicon workflow targeting the V9 hypervariable region of the 18S gene for marine protists. Overall, we find that this amplicon workflow has high precision and reasonable accuracy, but the magnitude of analytical uncertainty can increase significantly unless certain procedural issues are avoided. Finally, we demonstrate the value of positive and negative controls in, and the quantitative potential of, amplicon sequencing assessments of marine protist communities.

Understanding and interpreting community sequencing measurements of the vaginal microbiome.

Community-wide high-throughput sequencing has transformed the study of the vaginal microbiome, and clinical applications are on the horizon. Here we outline the three main community sequencing methods: (1) amplicon sequencing, (2) shotgun metagenomic sequencing, and (3) metatranscriptomic sequencing. We discuss the advantages and limitations of community sequencing generally, and the unique strengths and weaknesses of each method. We briefly review the contributions of community sequencing to vaginal microbiome research and practice. We develop suggestions for critically interpreting research results and potential clinical applications based on community sequencing of the vaginal microbiome. TWEETABLE ABSTRACT: We review the advantages and limitations of amplicon sequencing, metagenomics, and metatranscriptomics methods for the study of the vaginal microbiome.

Unraveling independent origins of two tetraploid Achillea species by amplicon sequencing

AbstractAllopolyploidy is a significant mechanism of plant speciation, and many allopolyploid species have arisen recurrently. However, the probability that allopolyploidization between the same two parental species could lead to the origin of different taxa has received little attention. Here we used a new progenitor‐specific amplicon sequencing method to demonstrate the independent origins of two yarrow species, Achillea alpina L. and Achillea wilsoniana Heimerl ex Hand.‐Mazz., through allotetraploidy from the same diploid progenitor species pair, Achillea acuminata (Ledeb.) Sch. Bip. and Achillea asiatica Serg. Based on the sequences of 17 nuclear genes from 21 wild populations of the four Achillea species investigated, a clear view of genetic structure and demographic history was obtained with each species. Significant genetic differentiation was evident between the two tetraploid species. Two genetically distinguishable groups were detected within one of the progenitor, A. acuminata, and ancestors belonging to those two groups contributed to the two tetraploid species. Excluding fixed heterozygosity, we detected extremely low genetic diversity in many populations of both tetraploid species. Approximate Bayesian computation indicated that both tetraploid species originated before the Last Glacial Maximum, and nearly all diploid lineages went through population declines after the allopolyploidization events. Our study indicates that independent allopolyploidization events between the same Achillea parental species have generated two genetically and ecologically distinct taxa.

Amplicon Sequencing-Based Noninvasive Fetal Genotyping for RHD-Positive D Antigen-Negative Alleles.

To avoid hemolytic disease of the fetus and newborn resulting from maternal alloantibodies against fetal Rh antigens, anti-D immunoglobulin is routinely administered to RhD-negative pregnant women in Japan. Fetal RHD genotyping using cell-free DNA may prevent unnecessary antibody administration; however, current PCR-based methods, which detect RHD deletion, do not address the higher rates of RHD-positive D antigen-negative alleles in nonwhite populations without additional inspections. We developed an amplicon-sequencing method that could estimate the type of paternally inherited fetal RHD allele from 4 major RHD alleles in the Japanese population: the D antigen-positive allele (RHD*01, 92.9%) and 3 D antigen-negative alleles (RHD*01N.01, 6.6%; RHD*01EL.01, 0.3%; RHD*01N.04, 0.1%) using cell-free DNA obtained from the blood plasma of pregnant women. The method correctly determined the fetal RhD type even when RhD-negative pregnant women possessed an RHD-positive D antigen-negative allele: RHD*01EL.01 or RHD*01N.04. This method is a reliable noninvasive fetal RHD genotyping method for Japanese and other East Asian populations. The genotyping principle of amplifying 2 different regions using the same primer pair and distinguishing them by their sequence difference during the subsequent mapping procedure is also theoretically applicable to RHD-positive D antigen-negative alleles prevalent in Africans. Therefore, this method offers an opportunity to consider targeted administration of anti-D immunoglobulin to RhD-negative pregnant women in East Asian and African countries and to increase the specificity of the fetal RHD genotyping implemented nationwide in several European countries.

Comparative analysis of amplicon and metagenomic sequencing methods reveals key features in the evolution of animal metaorganisms

BackgroundThe 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. The resulting insight facilitates the selection of appropriate methods across a wide range of host taxa. Overall, we recommend single- over multi-step amplification procedures, and although exceptions and trade-offs exist, the V3 V4 over the V1 V2 region of the 16S rRNA gene. 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.

Development of a deep amplicon sequencing method to determine the species composition of piroplasm haemoprotozoa

Piroplasmosis is caused by tick-borne haemoprotozoa of the genera Theileria and Babesia. These parasitic infections can seriously impact on the health of livestock and production. Piroplasms of multiple species can be present in a single host, but reliable molecular diagnostic tools are needed in order to understand the composition of these complex parasite communities. Theileria and Babesia vary in their epidemiology, drug sensitivity, pathogenicity and interaction with co-infecting species, but are similar in that infected animals become persistent carriers after recovery from primary infection, acting as reservoir hosts. Here, we describe for the first time the use of a deep amplicon sequencing platform to identify proportions of piroplasm species in co-infecting communities and develop the concept of a “haemoprotobiome”. First, four phenotypically-verified species of Theileria and Babesia were used to prepare mock DNA pools with random numbers of the parasites amplified by four different numbers of PCR cycles to assess sequence representation for each species. Second, we evaluated the detection threshold of the deep amplicon sequencing assay for each of the four species and to assess the accuracy of proportional quantification of all four species. Finally, we applied the assay to the field samples to afford insight of the species composition of piroplasm communities in small and large ruminants in the Punjab province of Pakistan. The “haemoprotobiome” concept has several potential applications in veterinary and human research, including understanding of responses to drug treatment; parasite epidemiology and ecology; species interactions during mixed infections; and parasite control strategies.

Distinct relationships between fluorescence in situ hybridization and 16S rRNA gene- and amplicon-based sequencing data of bacterioplankton lineages

Catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) and amplicon sequencing of the total (16S rRNA gene) and potentially active (16S rRNA transcripts), community are the major state of the art approaches for assessing the composition of bacterial communities in marine pelagic and other ecosystems. However, CARD-FISH and amplicon sequencing methods have not yet been directly compared to assess the composition of bacterioplankton communities. Therefore, these approaches were used to study the composition of bacterial communities in two North Sea seawater mesocosm experiments supplemented with diatom-derived organic matter (OM). All approaches revealed Proteobacteria and Bacteroidetes as major components of the bacterioplankton communities. The Roseobacter group and its RCA cluster, as well as Bacteroidetes and Gammaproteobacteria, responded most strongly to OM addition, whereas the SAR11 clade responded in only one of the two mesocosms. A correlation analysis showed that CARD-FISH and amplicon sequencing data of the SAR11 clade and the Roseobacter group, together with its RCA cluster, were highly significantly correlated, whereas Bacteroidetes did not yield any significant correlation and Gammaproteobacteria was only correlated with the potentially active fraction. However, subgroups of these phylogenetic groups, the SAR92 clade, the genera Pseudoalteromonas and Polaribacter, exhibited significant correlations in one of the two mesocosms. Correlations of CARD-FISH with amplicon sequencing data from the total and potentially active fractions of these lineages exhibited distinct differences. The study showed that CARD-FISH and amplicon sequencing data of distinct bacterioplankton groups and especially the phylogenetic lineages at a higher taxonomic level were correlated but reflected different aspects of their growth dynamics.

Investigating target-site resistance mechanism to the PPO-inhibiting herbicide fomesafen in waterhemp and interspecific hybridization of Amaranthus species using next generation sequencing.

Waterhemp (Amaranthus tuberculatus (Moq.) J. D. Sauer) is one of the most pernicious weeds in cropping systems of the USA due to its evolved resistance against several herbicide sites-of-action, including protoporphyrinogen oxidase inhibitors (PPO-R). Currently, the only source of PPO-R documented in waterhemp is ΔG210 of PPX2. Gene flow may not only lead to a transfer of herbicide-resistant alleles, but also produce a hybrid genotype more competitively fit than one or both parents. However, investigating gene flow of Amaranthus species has been of interest in the past two decades with limited evidence. Here, a high-throughput MiSeq amplicon sequencing method was used to investigate alterations of the PPX2 gene in 146 PPO-R waterhemp populations across five Midwest states of the USA. Five R128 codons of PPX2, novel to waterhemp, were found including AGG (R), GGA (G), GGG (G), AAA (K) and ATA (I). R128G, R128I, and R128K were found in 11, 3, and 2 populations, respectively. R128G and R128I, but not R128K, conferred fomesafen resistance in a bacterial system. Sequence alignment of the R128 region of PPX2 identified a tumble pigweed (Amaranthus albus)-type and Palmer amaranth (Amaranthus palmeri)-type PPX2 allele to be present and widespread in the surveyed waterhemp populations, thus providing strong evidence of gene flow between Amaranthus species. Using a next-generation sequencing method, we identified two PPO target-site mutations R128G/I novel to waterhemp and provided evidence of gene flow of Amaranthus species in a large group of screened waterhemp populations from five Midwest states of the USA. © 2019 Society of Chemical Industry.

Spatial patterns of fungal endophytes in a subtropical montane rainforest of northern Taiwan

Abstract Fungal endophytes of plants are ubiquitous and important to host plant health. Wood-inhabiting and foliar endophyte communities from multiple tree hosts were sampled at multiple spatial scales across the Fushan forest dynamics plot in northern Taiwan, using culture-free, community DNA amplicon sequencing methods. Fungal endophyte communities were distinct between leaves and wood, but the mycobiomes were highly variable across and within tree species. Despite this, host tree species was an important predictor of mycobiome community-composition. Within a single common tree species, “core” mycobiomes were characterized using co-occurrence analysis. The spatial co-occurrence patterns of these few species of fungal endophytes appear to explain the strong host effect. For wood endophytes, a consistent core mycobiome coexisted with the host across the extent of the study. For leaf endophytes, the core fungi resembled a more dynamic, “gradient” model of the core microbiome, changing across the topography and distance of the study.

A high throughput deep amplicon sequencing method to show the emergence and spread of Calicophoron daubneyi rumen fluke infection in United Kingdom cattle herds

The prevalence of C. daubneyi infection in the United Kingdom has increased, but despite the potential for rumen flukes to cause production loss in ruminant livestock, understanding of their emergence and spread is poor. Here we describe the development of a method to explore the multiplicity of C. daubneyi infection and patterns of the parasite’s emergence and spread, based on Illumina MiSeq deep sequencing of meta barcoded amplicons of a fragment of the cytochrome c oxidase subunit I (mt-COX-1) locus. Our results show high levels of genetic diversity in 32 C. daubneyi populations derived from finished prime cattle consigned to slaughter from northern United Kingdom. The results are consistent with a single introduction of C. daubneyi infection to some of the farms where the cattle had been grazed during their lifetime and multiple introductions to most. The results illustrate the impact of high levels of animal movements in the United Kingdom, whereby multiple common mt-COX-1 haplotypes were identified in 26 populations in the absence of geographical clustering of clades. This has implications for the adaptability of environmental and intermediate host stages of the parasite to changing climatic and animal management conditions, or of parasitic stages to exposure to anthelmintic drugs; potentially allowing for greater pathogenicity, or the development of anthelmintic resistance, respectively.

Microbiomes of China's Space Station During Assembly, Integration, and Test Operations.

Sufficient evidence indicates that orbiting space stations contain diverse microbial populations, which may threaten astronaut health and equipment reliability. Understanding the composition of microbial communities in space stations will facilitate further development of targeted biological safety prevention and maintenance practices. Therefore, this study systematically investigated the microbial community of China's Space Station (CSS). Air and surface samples from 46 sites on the CSS and Assembly Integration and Test (AIT) center were collected, from which 40 bacteria strains were isolated and identified. Most isolates were cold- and desiccation-resistant and adapted to oligotrophic conditions. Bacillus was the dominant bacterial genus detected by both cultivation-based and Illumina MiSeq amplicon sequencing methods. Microbial contamination on the CSS was correlated with encapsulation staff activities. Analysis by spread plate and qPCR revealed that the CSS surface contained 2.24 × 103-5.47 × 103CFU/100cm2 culturable bacteria and 9.32 × 105-5.64 × 106 16S rRNA gene copies/100cm2; BacLight™ analysis revealed that the viable/total bacterial cell ratio was 1.98-13.28%. This is the first study to provide important systematic insights into the microbiome of the CSS during assembly that describes the pre-launch microbial diversity of the space station. Our findings revealed the following. (1) Bacillus strains and staff activities should be considered major concerns for future biological safety. (2) Autotrophic and multi-resistant microbial communities were widespread in the AIT environment. Although harsh cleaning methods reduced the number of microorganisms, stress-resistant strains were not completely removed. (3) Sampling, storage and analytical methods for the space station were thoroughly optimized, and are expected to be applicable to low-biomass environments in general. Microbiology-related future works will follow up to comprehensively understand the changing characteristics of microbial communities in CSS.

Exploring the natural microbiome of the model liverwort: fungal endophyte diversity in Marchantia polymorpha L

Within their tissues, plants host diverse communities of fungi, termed fungal endophytes. These fungi can affect plant growth, competitiveness, and resistance to stressors, thereby influencing plant community structure. Research characterizing fungal endophyte communities has so far mostly focused on seed plants, but information on the endophytes of other plant lineages is needed to understand how plant microbiomes impact whole ecosystems and how major changes through land plant evolution have affected plant-microbe relationships. In this study, we assess the fungal endophyte community of the model liverwort Marchantia polymorpha L. by both culturing and Illumina amplicon sequencing methods. We detect a very diverse fungal community that is distinct between M. polymorpha patches and only shares a few core fungi between populations across the United States. We also show low overlap in taxa detected by the different methods. This study helps build a foundation for using M. polymorpha and other Marchantia species as models for the ecology and dynamics of bryophyte microbiomes.

ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data

BackgroundAlthough human leukocyte antigen (HLA) genotyping based on amplicon, whole exome sequence (WES), and RNA sequence data has been achieved in recent years, accurate genotyping from whole genome sequence (WGS) data remains a challenge due to the low depth. Furthermore, there is no method to identify the sequences of unknown HLA types not registered in HLA databases.ResultsWe developed a Bayesian model, called ALPHLARD, that collects reads potentially generated from HLA genes and accurately determines a pair of HLA types for each of HLA-A, -B, -C, -DPA1, -DPB1, -DQA1, -DQB1, and -DRB1 genes at 3rd field resolution. Furthermore, ALPHLARD can detect rare germline variants not stored in HLA databases and call somatic mutations from paired normal and tumor sequence data. We illustrate the capability of ALPHLARD using 253 WES data and 25 WGS data from Illumina platforms. By comparing the results of HLA genotyping from SBT and amplicon sequencing methods, ALPHLARD achieved 98.8% for WES data and 98.5% for WGS data at 2nd field resolution. We also detected three somatic point mutations and one case of loss of heterozygosity in the HLA genes from the WGS data.ConclusionsALPHLARD showed good performance for HLA genotyping even from low-coverage data. It also has a potential to detect rare germline variants and somatic mutations in HLA genes. It would help to fill in the current gaps in HLA reference databases and unveil the immunological significance of somatic mutations identified in HLA genes.