Metabarcoding for invasive species detection
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB25036 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2306660_1.fastq.gz | Fastqsanger.gz | |||
| ERR2306660_2.fastq.gz | Fastqsanger.gz | |||
| ERR2306670_1.fastq.gz | Fastqsanger.gz | |||
| ERR2306670_2.fastq.gz | Fastqsanger.gz | |||
| ERR2306680_1.fastq.gz | Fastqsanger.gz |
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Project description:The whitefly Bemisa tabaci is a species complex of more than 31 cryptic species which include some of the most destructive invasive pests of many ornamental and glasshouse crops worldwide. Among them, Middle East-Asia Minor 1 (herein MEAM1) and Mediterranean (herein MED) have invaded many countries around the world and displaced the native whitefly species. However, the molecular differences between invasive and indigenous whiteflies remain largely unknown. The global transcriptional difference between the two invasive whitefly Bemisia tabaci species (MEAM1, MED) and one indigenous whitefly species (Asia II 3) were analyzed using the Illumina sequencing technology.
2013-11-24 | E-GEOD-41864 | biostudies-arrayexpress
Project description:The whitefly Bemisa tabaci is a species complex of more than 31 cryptic species which include some of the most destructive invasive pests of many ornamental and glasshouse crops worldwide. Among them, Middle East-Asia Minor 1 (herein MEAM1) and Mediterranean (herein MED) have invaded many countries around the world and displaced the native whitefly species. However, the molecular differences between invasive and indigenous whiteflies remain largely unknown.
2013-11-24 | GSE41864 | GEO
Project description:BackgroundAlthough wild ungulate populations are heavily monitored throughout Europe, we understand little of how parasites affect population dynamics, and there is no systematic, long-term monitoring of parasite diversity and parasite loads. Such monitoring is in part hampered by a lack of time- and cost-effective assay methodologies with high sensitivity and good taxonomic resolution. DNA metabarcoding has been successfully used to characterize the parasitic nemabiome with high taxonomic resolution in a variety of wild and domestic hosts. However, in order to implement this technique in large-scale, potentially non-invasive monitoring of gastrointestinal parasitic nematodes (GIN), protocol optimization is required to maximize biodiversity detection, whilst maintaining time- and cost-effectiveness.MethodsFaecal samples were collected from a wild moose population and GIN communities were characterized and quantified using both parasitological techniques (egg and larva counting) and DNA metabarcoding of the ITS2 region of rDNA. Three different isolation methods were compared that differed in the volume of starting material and cell lysis method.ResultsSimilar nematode faunas were recovered from all samples using both parasitological and metabarcoding methods, and the approaches were largely congruent. However, metabarcoding assays showed better taxonomic resolution and slightly higher sensitivity than egg and larvae counts. The metabarcoding was not strictly quantitative, but the proportion of target nematode sequences recovered was correlated with the parasitologically determined parasite load. Species detection rates in the metabarcoding assays were maximized using a DNA isolation method that included mechanical cell disruption and maximized the starting material volume.ConclusionsDNA metabarcoding is a promising technique for the non-invasive, large-scale monitoring of parasitic GINs in wild ungulate populations, owing to its high taxonomic resolution, increased assay sensitivity, and time- and cost-effectiveness. Although metabarcoding is not a strictly quantitative method, it may nonetheless be possible to create a management- and conservation-relevant index for the host parasite load from this data. To optimize the detection rates and time- and cost-effectiveness of metabarcoding assays, we recommend choosing a DNA isolation method that involves mechanical cell disruption and maximizes the starting material volume.
| S-EPMC9847159 | biostudies-literature
Project description:The whitefly Bemisa tabaci is a species complex with global distribution and extensive genetic diversity. In this species complex, Middle East-Asia Minor 1 (MEAM1, previously referred to as the âB biotypeâ) species has been spreading rapidly in tropical and subtropical regions. we analyzed the transcriptional responses of the invasive MEAM1 and the indigenous Asia II 3 species of B. tabaci complex during host plant shift (from cotton to tobacco) using the Illumina sequencing technology.The different gene expression pattern of energy and carbonhydrate metabolism and detoxification metabolism between MEAM1 and Asia II 3 were the main reasons of their different capacity of adapation. The global transcriptional difference between the invasive whitefly Bemisia tabaci species (MEAM1) and the indigenous whitefly species (Asia II 3) on cotton and tobacco were analyzed using the Illumina sequencing technology.
2016-07-03 | E-GEOD-57074 | biostudies-arrayexpress
Project description:Cortical neurons exhibit astounding diversity in gene expression as well as in morphological and electrophysiological properties. Most existing neural taxonomies are based on either transcriptomic or morpho-electric criteria, as it has been technically challenging to study both aspects of neuronal diversity in the same set of cells. Here we used Patch-seq to combine patch-clamp recording, biocytin staining, and single-cell RNA sequencing of over 1300 neurons in adult mouse motor cortex, providing a comprehensive morpho-electric annotation of almost all transcriptomically defined neural cell types. We found that, although broad families of transcriptomic types (Vip, Pvalb, Sst, etc.) had distinct and essentially non-overlapping morpho-electric phenotypes, individual transcriptomic types within the same family were not well-separated in the morpho-electric space. Instead, there was a continuum of variability in morphology and electrophysiology, with neighbouring transcriptomic cell types showing similar morpho-electric features, often without clear boundaries between them. Our results suggest that neural types in the neocortex do not always form discrete entities. Instead, neurons follow a hierarchy consisting of distinct non-overlapping branches at the level of families, but can form continuous and correlated transcriptomic and morpho-electrical landscapes within families.
2020-12-24 | GSE163764 | GEO
Project description:Environmental DNA (eDNA) metabarcoding has shown promise as a tool for estimating biodiversity and early detection of invasive species. In aquatic systems, advantages of this method include the ability to concurrently monitor biodiversity and detect incipient invasions simply through the collection and analysis of water samples. However, depending on the molecular markers chosen for a given study, reference libraries containing target sequences from present species may limit the usefulness of eDNA metabarcoding. To explore the extent of this issue and how it may be resolved to aid biodiversity and invasive species early detection goals, we focus on fishes in the well-studied Laurentian Great Lakes region. First, we provide a synthesis of species currently known from the region and of non-indigenous species identified as threats by international, national, regional, and introduction pathway-specific fish risk assessments. With these species lists, we then evaluate 23 primer pairs commonly used in fish eDNA metabarcoding with available databases of sequence coverage and species specificity. Finally, we identify established and potentially invasive non-indigenous fish that should be prioritized for genetic sequencing to ensure robust eDNA metabarcoding for the region. Our results should increase confidence in using eDNA metabarcoding for fisheries conservation and management in the Great Lakes region and help prioritize reference sequencing efforts. The ultimate utility of eDNA metabarcoding approaches will come when conservation management of existing fish communities is integrated with early detection efforts for invasive species surveillance to assess total fish biodiversity.
| S-EPMC10078450 | biostudies-literature
Project description:PremiseSeveral ferns and lycophytes produce subterranean gametophytes, including the Ophioglossaceae, Psilotaceae, and some members of the Schizaeaceae, Gleicheniaceae, and Lycopodiaceae. Despite the surge in plant-microbiome research, which has been particularly boosted by high-throughput sequencing techniques, the microbiomes of these inconspicuous fern gametophytes have rarely been examined. The subterranean gametophytes are peculiar due to their achlorophyllous nature, which makes them rely on fungi to obtain nutrients. Furthermore, the factors that shape the fungal communities (mycobiomes) of fern gametophytes have not been examined in depth.Methods and resultsWe present a workflow to study the mycobiome of the achlorophyllous gametophytes of Ophioderma pendulum using a high-throughput metabarcoding approach. Simultaneously, each gametophyte was investigated microscopically to detect fungal structures. Two primer sets of the nuclear ITS sequence targeting general fungi were applied, in addition to a primer set that specifically targets the nuclear small subunit ribosomal rDNA region of arbuscular mycorrhizal fungi. Both the microscopic and metabarcoding approaches revealed many diverse fungi inhabiting a single gametophyte of O. pendulum.DiscussionThis study provides methodological details and discusses precautions for the mycobiome investigation of achlorophyllous gametophytes. This research is also the first to uncover the mycobiome assembly of an achlorophyllous gametophyte of an epiphytic fern.
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Project description:As aquatic invasive species (AIS) proliferate worldwide, a better understanding of their roles in invaded habitats is needed to inform management and introduction prevention strategies and priorities. Metabarcoding of stomach content DNA (scDNA) shows considerable promise in such regard. We thus metabarcoded scDNA from two non-native fish species (alewife (Alosa pseudoharengus) and rainbow smelt (Osmerus mordax)), and three native ones (bloater (Coregonus hoyi), ninespine stickleback (Pungitius pungitius), and slimy sculpin (Cottus cognatus)). Fishes (N = 376) were sampled in spring 2009 and 2010 from 73-128 m depths at three Lake Michigan sites. Four mitochondrial cytochrome oxidase 1 (CO1) primer sets designed to target five potential AIS prey, and a universal aquatic invertebrate CO1 primer set targeting both native and AIS prey were used. Quality controlled prey amplicons were matched to three AIS prey: Bythotrephes longimanus (mean percent frequency occurrence, all samples = 7%), Cercopagis pengoi (5%), and Dreissena rostriformis bugensis (11%). Neither invasive prey Dreissena polymorpha nor Hemimysis anomala were detected. Native prey Leptodiaptomus sicilis, Limnocalanus macrurus, and Mysis diluviana were relatively common in scDNA (respective mean percent occurrences, all samples: 48%, 25%, 42%). Analysis of variation in prey occurrences for sample site, predator species, sample year, sample depth, and predator total length (TL) indicated site and predator species were most important. However, B. longimanus occurrence in scDNA depended upon predator TL, perhaps indicative of its unique defensive spine limiting susceptibility to predation until fishes exceed species-specific gape-based limitations. Our analysis of native and invasive prey species indicated possible indirect AIS impacts such as native predators switching their diet due to AIS-driven losses of preferred native prey. Metabarcoding demonstrated that AIS are integrated components of the offshore Lake Michigan food web, with both native and non-native predators, and both invasive and native prey are affecting species interactions across multiple trophic levels.
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