scholarly journals Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )

2016 ◽  
Vol 3 (12) ◽  
pp. 160651 ◽  
Author(s):  
Edward D. Farrell ◽  
Jeanette E. L. Carlsson ◽  
Jens Carlsson

The recently developed approach for microsatellite genotyping by sequencing (GBS) using individual combinatorial barcoding was further improved and used to assess the genetic population structure of boarfish ( Capros aper ) across the species' range. Microsatellite loci were developed de novo and genotyped by next-generation sequencing. Genetic analyses of the samples indicated that boarfish can be subdivided into at least seven biological units (populations) across the species' range. Furthermore, the recent apparent increase in abundance in the northeast Atlantic is better explained by demographic changes within this area than by influx from southern or insular populations. This study clearly shows that the microsatellite GBS approach is a generic, cost-effective, rapid and powerful method suitable for full-scale population genetic studies—a crucial element for assessment, sustainable management and conservation of valuable biological resources.

2016 ◽  
Vol 3 (1) ◽  
pp. 150565 ◽  
Author(s):  
Salla Vartia ◽  
José L. Villanueva-Cañas ◽  
John Finarelli ◽  
Edward D. Farrell ◽  
Patrick C. Collins ◽  
...  

This study examines the potential of next-generation sequencing based ‘genotyping-by-sequencing’ (GBS) of microsatellite loci for rapid and cost-effective genotyping in large-scale population genetic studies. The recovery of individual genotypes from large sequence pools was achieved by PCR-incorporated combinatorial barcoding using universal primers. Three experimental conditions were employed to explore the possibility of using this approach with existing and novel multiplex marker panels and weighted amplicon mixture. The GBS approach was validated against microsatellite data generated by capillary electrophoresis. GBS allows access to the underlying nucleotide sequences that can reveal homoplasy, even in large datasets and facilitates cross laboratory transfer. GBS of microsatellites, using individual combinatorial barcoding, is potentially faster and cheaper than current microsatellite approaches and offers better and more data.


PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2419 ◽  
Author(s):  
Ricardo M. Landínez-García ◽  
Edna J. Márquez

The Neotropical freshwater fishIchthyoelephas longirostris(Characiformes: prochilodontidae) is a short-distance migratory species endemic to Colombia. This study developed for the first time a set of 24 polymorphic microsatellitelociby using next-generation sequencing to explore the population genetics of this commercially exploited species. Nineteen of theselociwere used to assess the genetic diversity and structure of 193I. longirostrisin three Colombian rivers of the Magdalena basin. Results showed that a single genetic stock circulates in the Cauca River, whereas other single different genetic stock is present in the rivers Samaná Norte and San Bartolomé-Magdalena. Additionally,I. longirostriswas genetically different among and across rivers. This first insight about the population genetic structure ofI. longirostrisis crucial for monitoring the genetic diversity, the management and conservation of its populations, and complement the genetic studies in Prochilodontidae.


Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 687-703 ◽  
Author(s):  
Tijana Banjanac ◽  
Marijana Skoric ◽  
Mario Belamaric ◽  
Jasmina Nestorovic-Zivkovic ◽  
Danijela Misic ◽  
...  

Available scientific literature reports very few microsatellite markers derived from tetraploid genomes using de novo transcriptome sequencing, mostly because their gain usually represents a major computational challenge due to complicated combinatorics during assembly of sequence reads. Here we present a novel approach for mining polymorphic microsatellite loci from transcriptome data in a tetraploid species with no reference genome available. Pairs of 114 bp long de novo sequenced transcriptome reads of Centaurium erythraea were merged into short contigs of 170-200 bp each. High accuracy assembly of the pairs of reads was accomplished by a minimum of 14 bp overlap. Sequential bioinformatics operations involved fully free and open-source software and were performed using an average personal computer. Out of the 13 150 candidate contigs harboring SSR motifs obtained in a final output, we randomly chose 16 putative markers for which we designed primers. We tested the effectiveness of the established bioinformatics approach by amplifying them in eight different taxa within the genus Centaurium having various ploidy levels (diploids, tetraploids and hexaploids). Nine markers displayed polymorphism and/or transferability among studied taxa. They provided 54 alleles in total, ranging from 2 to 14 alleles per locus. The highest number of alleles was observed in C. erythraea, C. littorale and a hybridogenic taxon C. pannonicum. The developed markers are qualified to be used in genetic population studies on declining natural populations of Centaurium species, thus providing valuable information to evolutionary and conservation biologists. The developed cost-effective methodology provides abundant de novo assembled short contigs and holds great promise to mine numerous additional EST-SSR-containing markers for possible use in genetics population studies of tetraploid taxa within the genus Centaurium.


PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e62137 ◽  
Author(s):  
Marcos De Donato ◽  
Sunday O. Peters ◽  
Sharon E. Mitchell ◽  
Tanveer Hussain ◽  
Ikhide G. Imumorin

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Elisabeth Wischnitzki ◽  
Eva Maria Sehr ◽  
Karin Hansel-Hohl ◽  
Maria Berenyi ◽  
Kornel Burg ◽  
...  

Genome assembly remains a challenge for large and/or complex plant genomes due to their abundant repetitive regions resulting in studies focusing on gene space instead of the whole genome. Thus, DNA enrichment strategies facilitate the assembly by increasing the coverage and simultaneously reducing the complexity of the whole genome. In this paper we provide an easy, fast, and cost-effective variant of MRE-seq to obtain a plant’s hypomethylome by an optimized methyl filtration protocol followed by next generation sequencing. The method is demonstrated on three plant species with knowingly large and/or complex (polyploid) genomes:Oryza sativa,Picea abies, andCrocus sativus. The identified hypomethylomes show clear enrichment for genes and their flanking regions and clear reduction of transposable elements. Additionally, genomic sequences around genes are captured including regulatory elements in introns and up- and downstream flanks. High similarity of the results obtained by ade novoassembly approach with a reference based mapping in rice supports the applicability for studying and understanding the genomes of nonmodel organisms. Hence we show the high potential of MRE-seq in a wide range of scenarios for the direct analysis of methylation differences, for example, between ecotypes, individuals, within or across species harbouring large, and complex genomes.


2019 ◽  
Vol 26 (28) ◽  
pp. 5340-5362 ◽  
Author(s):  
Xin Chen ◽  
Giuseppe Gumina ◽  
Kristopher G. Virga

:As a long-term degenerative disorder of the central nervous system that mostly affects older people, Parkinson’s disease is a growing health threat to our ever-aging population. Despite remarkable advances in our understanding of this disease, all therapeutics currently available only act to improve symptoms but cannot stop the disease progression. Therefore, it is essential that more effective drug discovery methods and approaches are developed, validated, and used for the discovery of disease-modifying treatments for Parkinson’s disease. Drug repurposing, also known as drug repositioning, or the process of finding new uses for existing or abandoned pharmaceuticals, has been recognized as a cost-effective and timeefficient way to develop new drugs, being equally promising as de novo drug discovery in the field of neurodegeneration and, more specifically for Parkinson’s disease. The availability of several established libraries of clinical drugs and fast evolvement in disease biology, genomics and bioinformatics has stimulated the momentums of both in silico and activity-based drug repurposing. With the successful clinical introduction of several repurposed drugs for Parkinson’s disease, drug repurposing has now become a robust alternative approach to the discovery and development of novel drugs for this disease. In this review, recent advances in drug repurposing for Parkinson’s disease will be discussed.


Animals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2226
Author(s):  
Sazia Kunvar ◽  
Sylwia Czarnomska ◽  
Cino Pertoldi ◽  
Małgorzata Tokarska

The European bison is a non-model organism; thus, most of its genetic and genomic analyses have been performed using cattle-specific resources, such as BovineSNP50 BeadChip or Illumina Bovine 800 K HD Bead Chip. The problem with non-specific tools is the potential loss of evolutionary diversified information (ascertainment bias) and species-specific markers. Here, we have used a genotyping-by-sequencing (GBS) approach for genotyping 256 samples from the European bison population in Bialowieza Forest (Poland) and performed an analysis using two integrated pipelines of the STACKS software: one is de novo (without reference genome) and the other is a reference pipeline (with reference genome). Moreover, we used a reference pipeline with two different genomes, i.e., Bos taurus and European bison. Genotyping by sequencing (GBS) is a useful tool for SNP genotyping in non-model organisms due to its cost effectiveness. Our results support GBS with a reference pipeline without PCR duplicates as a powerful approach for studying the population structure and genotyping data of non-model organisms. We found more polymorphic markers in the reference pipeline in comparison to the de novo pipeline. The decreased number of SNPs from the de novo pipeline could be due to the extremely low level of heterozygosity in European bison. It has been confirmed that all the de novo/Bos taurus and Bos taurus reference pipeline obtained SNPs were unique and not included in 800 K BovineHD BeadChip.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ramesh Yelagandula ◽  
◽  
Aleksandr Bykov ◽  
Alexander Vogt ◽  
Robert Heinen ◽  
...  

AbstractThe COVID-19 pandemic has demonstrated the need for massively-parallel, cost-effective tests monitoring viral spread. Here we present SARSeq, saliva analysis by RNA sequencing, a method to detect SARS-CoV-2 and other respiratory viruses on tens of thousands of samples in parallel. SARSeq relies on next generation sequencing of multiple amplicons generated in a multiplexed RT-PCR reaction. Two-dimensional, unique dual indexing, using four indices per sample, enables unambiguous and scalable assignment of reads to individual samples. We calibrate SARSeq on SARS-CoV-2 synthetic RNA, virions, and hundreds of human samples of various types. Robustness and sensitivity were virtually identical to quantitative RT-PCR. Double-blinded benchmarking to gold standard quantitative-RT-PCR performed by human diagnostics laboratories confirms this high sensitivity. SARSeq can be used to detect Influenza A and B viruses and human rhinovirus in parallel, and can be expanded for detection of other pathogens. Thus, SARSeq is ideally suited for differential diagnostic of infections during a pandemic.


Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 222
Author(s):  
Bartosz Ulaszewski ◽  
Joanna Meger ◽  
Jaroslaw Burczyk

Next-generation sequencing of reduced representation genomic libraries (RRL) is capable of providing large numbers of genetic markers for population genetic studies at relatively low costs. However, one major concern of these types of markers is the precision of genotyping, which is related to the common problem of missing data, which appears to be particularly important in association and genomic selection studies. We evaluated three RRL approaches (GBS, RADseq, ddRAD) and different SNP identification methods (de novo or based on a reference genome) to find the best solutions for future population genomics studies in two economically and ecologically important broadleaved tree species, namely F. sylvatica and Q. robur. We found that the use of ddRAD method coupled with SNP calling based on reference genomes provided the largest numbers of markers (28 k and 36 k for beech and oak, respectively), given standard filtering criteria. Using technical replicates of samples, we demonstrated that more than 80% of SNP loci should be considered as reliable markers in GBS and ddRAD, but not in RADseq data. According to the reference genomes’ annotations, more than 30% of the identified ddRAD loci appeared to be related to genes. Our findings provide a solid support for using ddRAD-based SNPs for future population genomics studies in beech and oak.


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