scholarly journals CAPRG: Sequence Assembling Pipeline for Next Generation Sequencing of Non-Model Organisms

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e30370 ◽  
Author(s):  
Arun Rawat ◽  
Mohamed O. Elasri ◽  
Kurt A. Gust ◽  
Glover George ◽  
Don Pham ◽  
...  
PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2019 ◽  
Author(s):  
Christine Ewers-Saucedo ◽  
John D. Zardus ◽  
John P. Wares

Microsatellite markers remain an important tool for ecological and evolutionary research, but are unavailable for many non-model organisms. One such organism with rare ecological and evolutionary features is the epizoic barnacleChelonibia testudinaria(Linnaeus, 1758).Chelonibia testudinariaappears to be a host generalist, and has an unusual sexual system, androdioecy. Genetic studies on host specificity and mating behavior are impeded by the lack of fine-scale, highly variable markers, such as microsatellite markers. In the present study, we discovered thousands of new microsatellite loci from next-generation sequencing data, and characterized 12 loci thoroughly. We conclude that 11 of these loci will be useful markers in future ecological and evolutionary studies onC. testudinaria.


2018 ◽  
Author(s):  
Narjara Lopes de Abreu ◽  
Ruy José Válka Alves ◽  
Sérgio Ricardo Sodré Cardoso ◽  
Yann JK Bertrand ◽  
Filipe Sousa ◽  
...  

Background. Current evidence suggests that for more robust estimates of species tree and divergence times, several unlinked genes are required. However, most phylogenetic trees for non-model organisms are based on single sequences or just a few regions, using traditional sequencing methods. Techniques for massive parallel sequencing or Next Generation Sequencing are an alternative to traditional methods that allow access to hundreds of DNA regions. Here we use this approach to resolve the phylogenetic incongruence found in Polystachya Hook. (Orchidaceae), a genus that stands out due to several interesting aspects, including cytological (polyploid and diploid species), evolutionary (reticulate evolution) and biogeographical (species widely distributed in the tropics and high endemism in Brazil). The genus has a notoriously complicated taxonomy, with several sections that are widely used but probably not monophyletic. Methods. We generated the complete chloroplast genome of 48 individuals from one clade within the genus. The method consisted in construction of genomic libraries, hybridization to RNA probes designed from available sequences of a related species, and subsequent sequencing of the product. We also tested how well a smaller sample of the chloroplast genome would perform in phylogenetic inference in two ways: by duplicating a fast region and analysing multiple copies of this dataset, and by sampling without replacement from all non-coding regions in our alignment. We further examined the phylogenetic implications of non-coding sequences that appear to have undergone hairpin inversions (reverse complemented sequences associated with small loops). Results. We retrieved 131,214 bp, including coding and non-coding regions of the chloroplast genome. The phylogeny was able to fully resolve the relationships among all species in the targeted clade with high support values. The first divergent species are represented by African accessions and the most recent ones are among Neotropical species. Discussion. Our results indicate that using the entire chloroplast is a better option than screening highly variable markers, especially when the expected tree is likely to contain many short branches. The phylogeny inferred is consistent with the proposed origin of the genus, showing a probable origin in Africa, with later dispersal into the Neotropics, as evidenced by a clade containing all Neotropical individuals. The multiple positions of Polystachya concreta (Jacq.) Garay & Sweet in the phylogeny are explained by allotetraploidy. Polystachya estrellensis Rchb.f. can be considered a genetically distinct species from P. concreta and P. foliosa (Lindl.) Rchb.f., but the delimitation of P. concreta remains uncertain. Our study shows that next generation sequencing provides a powerful tool for inferring relationships at low taxonomic levels, even in taxonomically challenging groups with short branches and intricate morphology.


2016 ◽  
Author(s):  
Christine Ewers-Saucedo ◽  
John D Zardus ◽  
John P Wares

Microsatellite markers remain an important tool for ecological and evolutionary research, but are unavailable for many non-model organisms. One such organism with rare ecological and evolutionary features is the epizoic barnacle Chelonibia testudinaria (Linnaeus, 1758). Chelonibia testudinaria appears to be a host generalist, and has a unusual sexual system, androdioecy. Genetic studies on host specificity and mating behavior are impeded by the lack of fine-scale, highly variable markers. In the present study, we discovered thousands of new microsatellite loci from next-generation sequencing data, and characterized 12 loci thoroughly. We conclude that 11 of these loci will be useful markers in future ecological and evolutionary studies on C. testudinaria.


Author(s):  
Jill C Preston

Abstract The development of plant model organisms has traditionally been analyzed using resource-heavy, tailored applications that are not easily transferable to distantly related non-model taxa. Thus, our understanding of plant development has been limited to a subset of traits, and evolutionary studies conducted most effectively either across very wide [e.g. Arabidopsis thaliana and Oryza sativa (rice)] or narrow (i.e. population level) phylogenetic distances. As plant biologists seek to capitalize on natural diversity for crop improvement, enhance ecosystem functioning, and better understand plant responses to climate change, high-throughput and broadly applicable forms of existing molecular biology assays are becoming an invaluable resource. Next-generation sequencing (NGS) is increasingly becoming a powerful tool in evolutionary developmental biology (evo-devo) studies, particularly through its application to understanding trait evolution at different levels of gene regulation. Here, I review some of the most common and emerging NGS-based methods, using exemplar studies in reproductive plant evo-devo to illustrate their potential.


2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Ciro Rico ◽  
Eric Normandeau ◽  
Anne-Marie Dion-Côté ◽  
María Inés Rico ◽  
Guillaume Côté ◽  
...  

Mutagenesis ◽  
2014 ◽  
Vol 29 (5) ◽  
pp. 303-310 ◽  
Author(s):  
El Mustapha Bahassi ◽  
Peter J. Stambrook

Abstract Demand for new technologies that deliver fast, inexpensive and accurate genome information has never been greater. This challenge has catalysed the rapid development of advances in next-generation sequencing (NGS). The generation of large volumes of sequence data and the speed of data acquisition are the primary advantages over previous, more standard methods. In 2013, the Food and Drug Administration granted marketing authorisation for the first high-throughput NG sequencer, Illumina’s MiSeqDx, which allowed the development and use of a large number of new genome-based tests. Here, we present a review of template preparation, nucleic acid sequencing and imaging, genome assembly and alignment approaches as well as recent advances in current and near-term commercially available NGS instruments. We also outline the broad range of applications for NGS technologies and provide guidelines for platform selection to best address biological questions of interest. DNA sequencing has revolutionised biological and medical research, and is poised to have a similar impact on the practice of medicine. This tool is but one of an increasing arsenal of developing tools that enhance our capabilities to identify, quantify and functionally characterise the components of biological networks that keep us healthy or make us sick. Despite advances in other ‘omic’ technologies, DNA sequencing and analysis, in many respects, have played the leading role to date. The new technologies provide a bridge between genotype and phenotype, both in man and model organisms, and have revolutionised how risk of developing a complex human disease may be assessed. The generation of large DNA sequence data sets is producing a wealth of medically relevant information on a large number of individuals and populations that will potentially form the basis of truly individualised medical care in the future.


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