scholarly journals Rapid, large-scale species discovery in hyperdiverse taxa using 1D MinION sequencing

BMC Biology ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Amrita Srivathsan ◽  
Emily Hartop ◽  
Jayanthi Puniamoorthy ◽  
Wan Ting Lee ◽  
Sujatha Narayanan Kutty ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Low Cost ◽  
Small Body ◽  
Small Subset ◽  
Similar Species ◽  
Large Species ◽  
Morphological Examination ◽  
Species Discovery ◽  
Short Period

Abstract Background More than 80% of all animal species remain unknown to science. Most of these species live in the tropics and belong to animal taxa that combine small body size with high specimen abundance and large species richness. For such clades, using morphology for species discovery is slow because large numbers of specimens must be sorted based on detailed microscopic investigations. Fortunately, species discovery could be greatly accelerated if DNA sequences could be used for sorting specimens to species. Morphological verification of such “molecular operational taxonomic units” (mOTUs) could then be based on dissection of a small subset of specimens. However, this approach requires cost-effective and low-tech DNA barcoding techniques because well-equipped, well-funded molecular laboratories are not readily available in many biodiverse countries. Results We here document how MinION sequencing can be used for large-scale species discovery in a specimen- and species-rich taxon like the hyperdiverse fly family Phoridae (Diptera). We sequenced 7059 specimens collected in a single Malaise trap in Kibale National Park, Uganda, over the short period of 8 weeks. We discovered > 650 species which exceeds the number of phorid species currently described for the entire Afrotropical region. The barcodes were obtained using an improved low-cost MinION pipeline that increased the barcoding capacity sevenfold from 500 to 3500 barcodes per flowcell. This was achieved by adopting 1D sequencing, resequencing weak amplicons on a used flowcell, and improving demultiplexing. Comparison with Illumina data revealed that the MinION barcodes were very accurate (99.99% accuracy, 0.46% Ns) and thus yielded very similar species units (match ratio 0.991). Morphological examination of 100 mOTUs also confirmed good congruence with morphology (93% of mOTUs; > 99% of specimens) and revealed that 90% of the putative species belong to the neglected, megadiverse genus Megaselia. We demonstrate for one Megaselia species how the molecular data can guide the description of a new species (Megaselia sepsioides sp. nov.). Conclusions We document that one field site in Africa can be home to an estimated 1000 species of phorids and speculate that the Afrotropical diversity could exceed 200,000 species. We furthermore conclude that low-cost MinION sequencers are very suitable for reliable, rapid, and large-scale species discovery in hyperdiverse taxa. MinION sequencing could quickly reveal the extent of the unknown diversity and is especially suitable for biodiverse countries with limited access to capital-intensive sequencing facilities.

scholarly journals Rapid, large-scale species discovery in hyperdiverse taxa using 1D MinION sequencing

2019 ◽  
Author(s):  
Amrita Srivathsan ◽  
Emily Hartop ◽  
Jayanthi Puniamoorthy ◽  
Wan Ting Lee ◽  
Sujatha Narayanan Kutty ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Low Cost ◽  
Small Body ◽  
Small Subset ◽  
Similar Species ◽  
Large Species ◽  
Morphological Examination ◽  
Species Discovery ◽  
Short Period

ABSTRACTBackgroundMore than 80% of all animal species remain unknown to science. Most of these species live in the tropics and belong to animal taxa that combine small body size with high specimen abundance and large species richness. For such clades, using morphology for species discovery is slow because large numbers of specimens must be sorted using detailed microscopic investigations. Fortunately, species discovery could be greatly accelerated if DNA sequences could be used for sorting specimens to species. Morphological verification of such “molecular Operational Taxonomic Units” (mOTUs) could then be based on dissection of a small subset of specimens. However, this approach requires cost-effective and low-tech DNA barcoding techniques because well equipped, well-funded molecular laboratories are not readily available in many biodiverse countries.ResultsWe here document how MinION sequencing can be used for large-scale species discovery in a specimen- and species-rich taxon like the hyper-diverse fly family Phoridae (Diptera). We sequenced 7,059 specimens collected in a single Malaise trap in Kibale National Park, Uganda over the short period of eight weeks. We discovered >650 species which exceeded the number of phorid species currently described for the entire Afrotropical region. The barcodes were obtained using an improved low-cost MinION pipeline that increased the barcoding capacity sevenfold from 500 to 3,500 barcodes per flowcell. This was achieved by adopting 1D sequencing, re-sequencing weak amplicons on a used flowcell, and improving demultiplexing. Comparison with Illumina data revealed that the MinION barcodes were very accurate (99.99% accuracy, 0.46% Ns) and thus yielded very similar species units (match ratio: 0.991). Morphological examination of 100 mOTUs also confirmed good congruence with morphology (93% of mOTUs; >99% of specimens) and revealed that 90% of the putative species belong to a neglected, megadiverse genus (Megaselia). We demonstrate for one Megaselia species how the molecular data can guide the description of a new species (Megaselia sepsioides sp. nov.).ConclusionsWe document that one field site in Africa can be home to an estimated 1000 species of phorids and speculate that the Afrotropical diversity could exceed 100,000 species. We furthermore conclude that low-cost MinION sequencers are very suitable for reliable, rapid, and large-scale species discovery in hyperdiverse taxa. MinION sequencing could quickly reveal the extent of the unknown diversity and is especially suitable for biodiverse countries with limited access to capital-intensive sequencing facilities.

scholarly journals Sublethal Effects of Ionic and Nanogold on the Nematode Caenorhabditis elegans

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Suanne Bosch ◽  
Tarryn Lee Botha ◽  
Anine Jordaan ◽  
Mark Maboeta ◽  
Victor Wepener
Keyword(s):  
Caenorhabditis Elegans ◽  
Sublethal Effects ◽  
Low Cost ◽  
Small Body ◽  
Consumer Products ◽  
Ion Release ◽  
High Exposure ◽  
C Elegans ◽  
Short Period

The nematode Caenorhabditis elegans is used as an ecotoxicological model species in both aqueous medium and solid substrates. It is easy and of low cost to maintain in the laboratory and it produces hundreds of offspring within a short period of time. It also has a small body size (1 mm), making it possible for in vivo assays to be conducted in 12-well plates. Engineered nanomaterials (ENMs) are a class of emerging pollutants. Nanogold (nAu) is used in many consumer products and in vivo drug delivery. These materials can be released into the aquatic environment during production or discarding of consumer products. As nAu is insoluble in water, the sediment would become the final depository for the materials. It has become increasingly important to use sediment dwelling organisms to screen for possible toxicity of these ENMs. In this study C. elegans was exposed to a range of concentrations of nAu and ionic gold in M9-media, acting as a substitute for pore water. After 96-hour growth, fertility and reproduction were determined. Internal structure damage and internalisation of particles in C. elegans were determined by using SEM and CytoViva® Darkfield Imaging. From these images the nanomaterials are distributed around the oocytes in the reproductive organs, as well as the pharynx. Results obtained indicate that nAu affects reproduction more than growth due to internal gonad damage, albeit at very high exposure concentrations, indicating no toxicity at environmentally relevant concentrations. Ionic Au is more toxic than nAu and effects fertility and reproduction due to ion release. These results give more information regarding the toxicity and in vivo uptake of nAu and form part of an environmental risk assessment of ENMs.

scholarly journals Recording extracellular neural activity in the behaving monkey using a semichronic and high-density electrode system

2016 ◽  
Vol 116 (2) ◽  
pp. 563-574 ◽  
Author(s):  
Germán Mendoza ◽  
Adrien Peyrache ◽  
Jorge Gámez ◽  
Luis Prado ◽  
György Buzsáki ◽  
...  
Keyword(s):  
Neural Activity ◽  
Large Scale ◽  
Low Cost ◽  
Pyramidal Cells ◽  
Macaque Monkey ◽  
Electrode System ◽  
High Density ◽  
Large Species ◽  
Population Activity ◽  
Different Depths

We describe a technique to semichronically record the cortical extracellular neural activity in the behaving monkey employing commercial high-density electrodes. After the design and construction of low cost microdrives that allow varying the depth of the recording locations after the implantation surgery, we recorded the extracellular unit activity from pools of neurons at different depths in the presupplementary motor cortex (pre-SMA) of a rhesus monkey trained in a tapping task. The collected data were processed to classify cells as putative pyramidal cells or interneurons on the basis of their waveform features. We also demonstrate that short time cross-correlogram occasionally yields unit pairs with high short latency (<5 ms), narrow bin (<3 ms) peaks, indicative of monosynaptic spike transmission from pre- to postsynaptic neurons. These methods have been verified extensively in rodents. Finally, we observed that the pattern of population activity was repetitive over distinct trials of the tapping task. These results show that the semichronic technique is a viable option for the large-scale parallel recording of local circuit activity at different depths in the cortex of the macaque monkey and other large species.

scholarly journals The diagnostic chronic lymphocytic leukaemia genome by nanopore sequencing

2019 ◽  
Author(s):  
Adam Burns ◽  
Daniella DiSalvo-Williams ◽  
David Bruce ◽  
Pauline Robbe ◽  
Adele Timbs ◽  
...  
Keyword(s):  
Chronic Lymphocytic Leukaemia ◽  
Large Scale ◽  
Lymphocytic Leukaemia ◽  
Low Cost ◽  
Predictive Biomarkers ◽  
Nanopore Sequencing ◽  
Genomic Deletions ◽  
Mutational Status ◽  
Short Period ◽  
Following Error

AbstractChronic lymphocytic leukaemia (CLL) is characterised by considerable clinical and biological heterogeneity, with specific recurrent genomic alterations, includingTP53mutations, deletions of chromosome 17p, and IgHV mutational status, impacting on response to chemo-immunotherapy and targeted agents. Consequently, diagnostic screening for these predictive biomarkers is recommended in both national and international clinical guidelines. Current conventional methods, including fluorescentin-situhybridisation and Sanger sequencing, exhibit shortcomings in terms of cost, speed and sensitivity, and even second-generation sequencing methods encounter technical limitations imposed by short-read lengths and bio-informatics analysis. The MinION platform from Oxford Nanopore Technologies generates exceptionally long (1-100kbp) read lengths in a short period of time and at low cost, making it a good candidate for diagnostic testing. In this paper, we present a nanopore-based CLL-specific screening assay, to simultaneously screen for bothTP53mutations and del17p13.1, as well as determining the IgHV mutation status for a single patient in one sequencing run. We sequenced 11 CLL patients and were able to generate a full diagnostic dataset for all. We identified somatic SNVs and indels in the coding region ofTP53, and demonstrate that, following error correction of the data, we could accurately define the somatically hypermutated IgHV region in all patients. We also demonstrated the ability of the MinION platform to detect large-scale genomic deletions through low-coverage whole-genome sequencing. We conclude that nanopore sequencing has the potential to provide accurate, low-cost and rapid diagnostic information, which could be applied to other cancer types.

scholarly journals DNA-based species delineation in tropical beetles using mitochondrial and nuclear markers

2005 ◽  
Vol 360 (1462) ◽  
pp. 1925-1933 ◽  
Author(s):  
Michael T Monaghan ◽  
Michael Balke ◽  
T. Ryan Gregory ◽  
Alfried P Vogler
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Sequence Variation ◽  
Nuclear Dna ◽  
Sequence Information ◽  
28S Rrna ◽  
Water Beetles ◽  
Species Discovery ◽  
Tropical Water ◽  
Close Relatives

DNA barcoding has been successfully implemented in the identification of previously described species, and in the process has revealed several cryptic species. It has been noted that such methods could also greatly assist in the discovery and delineation of undescribed species in poorly studied groups, although to date the feasibility of such an approach has not been examined explicitly. Here, we investigate the possibility of using short mitochondrial and nuclear DNA sequences to delimit putative species in groups lacking an existing taxonomic framework. We focussed on poorly known tropical water beetles (Coleoptera: Dytiscidae, Hydrophilidae) from Madagascar and dung beetles (Scarabaeidae) in the genus Canthon from the Neotropics. Mitochondrial DNA sequence variation proved to be highly structured, with >95% of the observed variation existing between discrete sets of very closely related genotypes. Sequence variation in nuclear 28S rRNA among the same individuals was lower by at least an order of magnitude, but 16 different genotypes were found in water beetles and 12 genotypes in Canthon , differing from each other by a minimum of two base pairs. The distribution of these 28S rRNA genotypes in individuals exactly matched the distribution of mtDNA clusters, suggesting that mtDNA patterns were not misleading because of introgression. Moreover, in a few cases where sequence information was available in GenBank for morphologically defined species of Canthon , these matched some of the DNA-based clusters. These findings demonstrate that clusters of close relatives can be identified readily in the sequence variation obtained in field collected samples, and that these clusters are likely to correspond to either previously described or unknown species. The results suggest that DNA-assisted taxonomy will not require more than a short fragment of mtDNA to provide a largely accurate picture of species boundaries in these groups. Applied on a large scale, this DNA-based approach could greatly improve the rate of species discovery in the large assemblages of insects that remain undescribed.

scholarly journals Rapid Population Analysis of Magnaporthe grisea by Using rep-PCR and Endogenous Repetitive DNA Sequences

1998 ◽  
Vol 88 (3) ◽  
pp. 223-229 ◽  
Author(s):  
M. L. C. George ◽  
R. J. Nelson ◽  
R. S. Zeigler ◽  
H. Leung
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Magnaporthe Grisea ◽  
Population Analysis ◽  
Low Cost ◽  
Genetic Relationships ◽  
Fungal Genome ◽  
Scale Population ◽  
Polymerase Chain ◽  
The Impact

DNA samples from Magnaporthe grisea isolates were fingerprinted by using repetitive element-based polymerase chain reaction (rep-PCR) with two outwardly directed primer sequences from Pot2, an element found in approximately 100 copies in the fungal genome. Variable length fragments, defining the sequences lying between these elements, were generated, and fingerprint patterns specific for individual strains were established. “Long PCR” conditions, including higher pH (9.2) and increased extension time (10 min) were used to amplify DNA fragments ranging from 400 bp to longer than 23 kb. Polymorphisms specific to M. grisea strains were generated, allowing inference of their genetic relationships. Segregation analysis was used to confirm single-locus inheritance for the fragments amplified by rep-PCR. Cluster analysis revealed robust groupings that corresponded to previously determined MGR586 restriction fragment length polymorphism lineages of the rice-infecting strains of the pathogen. We have also demonstrated the utility of rep-PCR to differentiate isolates that infect rice from those that infect nonrice hosts. DNA fingerprinting by Pot2 rep-PCR provides an efficient means to monitor the population dynamics of the blast pathogen. Because of the method's low cost and ease in application, it is now feasible to conduct large-scale population studies to understand the impact of host genotypes on pathogen evolution.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Adsorption Isotherm Predictions for Multiple Molecules in MOFs Using the Same Deep Learning Model

2019 ◽  
Author(s):  
Ryther Anderson ◽  
Achay Biong ◽  
Diego Gómez-Gualdrón
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Molecular Simulation ◽  
Large Scale ◽  
Learning Model ◽  
Operating Conditions ◽  
Small Subset ◽  
Screening Methods ◽  
Large Set ◽  
Metal Organic

<div>Tailoring the structure and chemistry of metal-organic frameworks (MOFs) enables the manipulation of their adsorption properties to suit specific energy and environmental applications. As there are millions of possible MOFs (with tens of thousands already synthesized), molecular simulation, such as grand canonical Monte Carlo (GCMC), has frequently been used to rapidly evaluate the adsorption performance of a large set of MOFs. This allows subsequent experiments to focus only on a small subset of the most promising MOFs. In many instances, however, even molecular simulation becomes prohibitively time consuming, underscoring the need for alternative screening methods, such as machine learning, to precede molecular simulation efforts. In this study, as a proof of concept, we trained a neural network as the first example of a machine learning model capable of predicting full adsorption isotherms of different molecules not included in the training of the model. To achieve this, we trained our neural network only on alchemical species, represented only by their geometry and force field parameters, and used this neural network to predict the loadings of real adsorbates. We focused on predicting room temperature adsorption of small (one- and two-atom) molecules relevant to chemical separations. Namely, argon, krypton, xenon, methane, ethane, and nitrogen. However, we also observed surprisingly promising predictions for more complex molecules, whose properties are outside the range spanned by the alchemical adsorbates. Prediction accuracies suitable for large-scale screening were achieved using simple MOF (e.g. geometric properties and chemical moieties), and adsorbate (e.g. forcefield parameters and geometry) descriptors. Our results illustrate a new philosophy of training that opens the path towards development of machine learning models that can predict the adsorption loading of any new adsorbate at any new operating conditions in any new MOF.</div>

An Assessment of a Low-Cost Wastewater Disposal System after Twenty-Five Years of Operation

1987 ◽  
Vol 19 (5-6) ◽  
pp. 701-710 ◽  
Author(s):  
B. L. Reidy ◽  
G. W. Samson
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Wastewater Disposal ◽  
Industrial Base ◽  
Industrial Wastewaters ◽  
The Past ◽  
Gasification Process ◽  
Appropriate Treatment ◽  
Environmentally Safe ◽  
Coal Resource

A low-cost wastewater disposal system was commissioned in 1959 to treat domestic and industrial wastewaters generated in the Latrobe River valley in the province of Gippsland, within the State of Victoria, Australia (Figure 1). The Latrobe Valley is the centre for large-scale generation of electricity and for the production of pulp and paper. In addition other industries have utilized the brown coal resource of the region e.g. gasification process and char production. Consequently, industrial wastewaters have been dominant in the disposal system for the past twenty-five years. The mixed industrial-domestic wastewaters were to be transported some eighty kilometres to be treated and disposed of by irrigation to land. Several important lessons have been learnt during twenty-five years of operating this system. Firstly the composition of the mixed waste stream has varied significantly with the passage of time and the development of the industrial base in the Valley, so that what was appropriate treatment in 1959 is not necessarily acceptable in 1985. Secondly the magnitude of adverse environmental impacts engendered by this low-cost disposal procedure was not imagined when the proposal was implemented. As a consequence, clean-up procedures which could remedy the adverse effects of twenty-five years of impact are likely to be costly. The question then may be asked - when the total costs including rehabilitation are considered, is there really a low-cost solution for environmentally safe disposal of complex wastewater streams?

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