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253 results for “amplicons”
Figure 3 from: Gueidan C, Li L (2022) A long-read amplicon approach to scaling up the metabarcoding of lichen herbarium specimens. MycoKeys 86: 195-212. https://doi.org/10.3897/mycokeys.86.77431
Figure 3 Sequencing success for different ages of specimens included in this study. Specimens were grouped in five categories: 1966–1980, 1981–1990, 1991–2000, 2001–2010, 2011–2020. In the graph, stalked columns show successful samples (sequence generated for the target species) in dark grey and unsuccessful samples (no sequence generated or generated sequences not from the target species) in light grey. The total number of samples (N) is indicated below each corresponding column.
Supplementary material 2 from: Naro-Maciel E, Ingala MR, Werner IE, Reid BN, Fitzgerald AM (2022) COI amplicon sequence data of environmental DNA collected from the Bronx River Estuary, New York City. Metabarcoding and Metagenomics 6: e80139. https://doi.org/10.3897/mbmg.6.80139
Tables S1,S2, Figures S1–S3
Supplementary material 1 from: Naro-Maciel E, Ingala MR, Werner IE, Reid BN, Fitzgerald AM (2022) COI amplicon sequence data of environmental DNA collected from the Bronx River Estuary, New York City. Metabarcoding and Metagenomics 6: e80139. https://doi.org/10.3897/mbmg.6.80139
Supplementary Data Files 1, 2
Supplementary material 5 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S5. Data set of the ITS2 barcode.: Explanation note: Data set of the ITS2 barcode.
Supplementary material 4 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S4. Data set of the ITS1 barcode.: Explanation note: Data set of the ITS1 barcode.
Switchgrass rhizosphere amplicon sequence dataset
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Supplementary material 1 from: Gueidan C, Elix JA, McCarthy PM, Roux C, Mallen-Cooper M, Kantvilas G (2019) PacBio amplicon sequencing for metabarcoding of mixed DNA samples from lichen herbarium specimens. MycoKeys 53: 73-91. https://doi.org/10.3897/mycokeys.53.34761
: Data type: measurement
Data from: Assessment of a 16S rRNA amplicon Illumina sequencing procedure for studying the microbiome of a symbiont-rich aphid genus
The bacterial communities inhabiting arthropods are generally dominated by a few endosymbionts that play an important role in the ecology of their hosts. Rather than comparing bacterial species richness across samples, ecological studies on arthropod endosymbionts often seek to identify the main bacterial strains associated with each specimen studied. The filtering out of contaminants from the results and the accurate taxonomic assignment of sequences are therefore crucial in arthropod microbiome studies. We aimed here to validate an Illumina 16S rRNA gene sequencing protocol and analytical pipeline for investigating endosymbiotic bacteria associated with aphids. Using replicate DNA samples from 12 species (Aphididae: Lachninae, Cinara) and several controls, we removed individual sequences not meeting a minimum threshold number of reads in each sample and carried out taxonomic assignment for the remaining sequences. With this approach, we show that: i) contaminants accounted for a negligible proportion of the bacteria identified in our samples; ii) the taxonomic composition of our samples and the relative abundance of reads assigned to a taxon were very similar across PCR and DNA replicates for each aphid sample; in particular, bacterial DNA concentration had no impact on the results. Furthermore, by analysing the distribution of unique sequences across samples rather than aggregating them into operational taxonomic units (OTUs), we gained insight into the specificity of endosymbionts for their hosts. Our results confirm that Serratia symbiotica is often present in Cinara species, in addition to the primary symbiont, Buchnera aphidicola. Furthermore, our findings reveal new symbiotic associations with Erwinia and Sodalis-related bacteria. We conclude with suggestions for generating and analysing 16S rRNA gene sequences for arthropod endosymbiont studies.
Supplementary material 1 from: Ingala MR, Werner IE, Fitzgerald AM, Naro-Maciel E (2021) 18S rRNA amplicon sequence data (V1–V3) of the Bronx river estuary, New York. Metabarcoding and Metagenomics 5: e69691. https://doi.org/10.3897/mbmg.5.69691
Scripts used for metabarcoding analysis
Supplementary material 2 from: Ingala MR, Werner IE, Fitzgerald AM, Naro-Maciel E (2021) 18S rRNA amplicon sequence data (V1–V3) of the Bronx river estuary, New York. Metabarcoding and Metagenomics 5: e69691. https://doi.org/10.3897/mbmg.5.69691
Figure S1, Tables S1, S2
Figure 5 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 5 - Global Nonmetric Multidimensional Scaling (NMDS) graph demonstrating the relative placement of samples (lower case letters, encoded in Suppl. material 1) in the ordination space. 95% confidence ellipses are indicated for each barcode-primer pair combination. For two-dimensional solution, stress=0.191 (R2=0.875).
Figure 2 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 2 - Sample-based OTU richness as recovered by different barcode-primer pair combinations. Error bars denote standard error; different letters indicate statistically different groups.
Figure 1 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 1 - Map of ribosomal DNA indicating variable regions as well as primers used and/or discussed in this study. Primers pairs used for HTS are highlighted.
Figure 3 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 3 - Rarefied OTU accumulation curves for samples based on the (a) ITS1 and (b) ITS2 barcodes and their 95% confidence intervals.
Figure 6 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 6 - Relative abundance of fungal classes in the amplicon and metagenomics data sets divided into SSU, ITS, and LSU subsets averaged over different barcodes (amplicon data) and 14 shared samples. Asterisks in the margins indicate significant differences in recovery of classes among SSU, ITS, and LSU of metagenomics (right) and amplicon (left) data sets. Asterisks in the center indicate significant differences between the metagenomics and amplicon-bases approaches.
Figure 7 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 7 - Differences in sequence length in the ITS1 and ITS2 barcodes of 16 most abundant fungal classes as revealed based on amplicon libraries in this study. Columns, asterisks, and error bars represent mean and median values and standard deviation, respectively. Numbers inside bars indicate the number of sequences analyzed (n). Taxa are ordered by average length of the ITS1 region.
Figure 4 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Figure 4 - Relationship between connectance and adjusted coefficient of determination (R2adj) for floristic variables across different barcode-primer pair combinations based on (a) Bray-Curtis distance and (b) Hellinger distance. Pointed line indicates correlation in the ITS1Fngs-ITS2 data set (filled circles), covering eight connectance classes (C<0.45). Open circles, other ITS1 and ITS2 primer pairs; triangles, SSU barcodes; rectangles, LSU barcodes.
Amplicon example reads
<p>Example amplicon, paired-end, Illumina reads</p>
Bacterial 16s rRNA gene amplicon data (V3-V4) and qPCR data
<p><span>Within a given species, considerable inter-individual, spatial, and temporal variation in the composition of the host microbiome exists. In group-living animals, social interactions homogenize microbiome composition among group members, nevertheless, divergence in microbiome composition among related groups arises. Such variation can result from deterministic and stochastic processes. Stochastic changes, or ecological drift, can occur among symbionts with potential for colonizing a host and within individual hosts, and drive divergence in microbiome composition among hosts or host groups. We tested whether ecological drift associated with dispersal and foundation of new groups cause divergence in microbiome composition between natal and newly formed groups in the social spider <em>Stegodyphus</em> <em>dumicola</em>. We simulated initiation of new groups and compared variation in microbiome composition among and within groups. Theory predicts a decrease in beta diversity with increasing group size, and we found that single founders harboured the highest diversity. Divergence in microbiome composition from the natal nest was mainly driven by a higher number of non-core symbionts. This suggests that stochastic divergence in host microbiomes can arise during the process of group formation by individual founders, which could explain the existence of among-group variation in microbiome composition in the wild. Consistent host-symbiont relationships in the species must then be maintained by other processes. Individual founders harboured higher relative abundances of non-core symbionts some of which are possible pathogens, compared with founders in small groups. These symbionts vary in occurrence with group size, indicating that group dynamics influence various core and non-core symbionts differently.</span></p>
Bacterial 16s rRNA gene amplicon data (V3-V4) and qPCR data
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