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Dive into the research topics where Matthew Baranski is active.

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Featured researches published by Matthew Baranski.


Nature | 2016

The Atlantic salmon genome provides insights into rediploidization

Sigbjørn Lien; Ben F. Koop; Simen Rød Sandve; Jason R. Miller; Matthew Kent; Torfinn Nome; Torgeir R. Hvidsten; Jong Leong; David R. Minkley; Aleksey V. Zimin; Fabian Grammes; Harald Grove; Arne B. Gjuvsland; Brian Walenz; Russell A. Hermansen; Kristian R. von Schalburg; Eric B. Rondeau; Alex Di Genova; Jeevan Karloss Antony Samy; Jon Olav Vik; Magnus Dehli Vigeland; Lis Caler; Unni Grimholt; Sissel Jentoft; Dag Inge Våge; Pieter J. de Jong; Thomas Moen; Matthew Baranski; Yniv Palti; Douglas W. Smith

The whole-genome duplication 80 million years ago of the common ancestor of salmonids (salmonid-specific fourth vertebrate whole-genome duplication, Ss4R) provides unique opportunities to learn about the evolutionary fate of a duplicated vertebrate genome in 70 extant lineages. Here we present a high-quality genome assembly for Atlantic salmon (Salmo salar), and show that large genomic reorganizations, coinciding with bursts of transposon-mediated repeat expansions, were crucial for the post-Ss4R rediploidization process. Comparisons of duplicate gene expression patterns across a wide range of tissues with orthologous genes from a pre-Ss4R outgroup unexpectedly demonstrate far more instances of neofunctionalization than subfunctionalization. Surprisingly, we find that genes that were retained as duplicates after the teleost-specific whole-genome duplication 320 million years ago were not more likely to be retained after the Ss4R, and that the duplicate retention was not influenced to a great extent by the nature of the predicted protein interactions of the gene products. Finally, we demonstrate that the Atlantic salmon assembly can serve as a reference sequence for the study of other salmonids for a range of purposes.


BMC Genomics | 2009

Confirmation and fine-mapping of a major QTL for resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar): population-level associations between markers and trait.

Thomas Moen; Matthew Baranski; Anna K. Sonesson; Sissel Kjøglum

BackgroundInfectious pancreatic necrosis (IPN) is one of the most prevalent and economically devastating diseases in Atlantic salmon (Salmo salar) farming worldwide. The disease causes large mortalities at both the fry- and post-smolt stages. Family selection for increased IPN resistance is performed through the use of controlled challenge tests, where survival rates of sib-groups are recorded. However, since challenge-tested animals cannot be used as breeding candidates, within-family selection is not performed and only half of the genetic variation for IPN resistance is being exploited. DNA markers linked to quantitative trait loci (QTL) affecting IPN resistance would therefore be a powerful selection tool. The aim of this study was to identify and fine-map QTL for IPN-resistance in Atlantic salmon, for use in marker-assisted selection to increase the rate of genetic improvement for this trait.ResultsA genome scan was carried out using 10 large full-sib families of challenge-tested Atlantic salmon post-smolts and microsatellite markers distributed across the genome. One major QTL for IPN-resistance was detected, explaining 29% and 83% of the phenotypic and genetic variances, respectively. This QTL mapped to the same location as a QTL recently detected in a Scottish Atlantic salmon population. The QTL was found to be segregating in 10 out of 20 mapping parents, and subsequent fine-mapping with additional markers narrowed the QTL peak to a 4 cM region on linkage group 21. Challenge-tested fry were used to show that the QTL had the same effect on fry as on post-smolt, with the confidence interval for QTL position in fry overlapping the confidence interval found in post-smolts. A total of 178 parents were tested for segregation of the QTL, identifying 72 QTL-heterozygous parents. Genotypes at QTL-heterozygous parents were used to determine linkage phases between alleles at the underlying DNA polymorphism and alleles at single markers or multi-marker haplotypes. One four-marker haplotype was found to be the best predictor of QTL alleles, and was successfully used to deduce genotypes of the underlying polymorphism in 72% of the parents of the next generation within a breeding nucleus. A highly significant population-level correlation was found between deduced alleles at the underlying polymorphism and survival of offspring groups in the fry challenge test, parents with the three deduced genotypes (QQ, Qq, qq) having mean offspring mortality rates of 0.13, 0.32, and 0.49, respectively. The frequency of the high-resistance allele (Q) in the population was estimated to be 0.30. Apart from this major QTL, one other experiment-wise significant QTL for IPN-resistance was detected, located on linkage group 4.ConclusionThe QTL confirmed in this study represents a case of a major gene explaining the bulk of genetic variation for a presumed complex trait. QTL genotypes were deduced within most parents of the 2005 generation of a major breeding company, providing a solid framework for linkage-based MAS within the whole population in subsequent generations. Since haplotype-trait associations valid at the population level were found, there is also a potential for MAS based on linkage disequilibrium (LD). However, in order to use MAS across many generations without reassessment of linkage phases between markers and the underlying polymorphism, the QTL needs to be positioned with even greater accuracy. This will require higher marker densities than are currently available.


Nature | 2015

Sex-dependent dominance at a single locus maintains variation in age at maturity in salmon

Nicola J. Barson; Tutku Aykanat; Kjetil Hindar; Matthew Baranski; Geir H. Bolstad; Peder Fiske; Celeste Jacq; Arne J. Jensen; Susan E. Johnston; Sten Karlsson; Matthew Kent; Thomas Moen; Eero Niemelä; Torfinn Nome; T. F. Næsje; Panu Orell; Atso Romakkaniemi; Harald Sægrov; Kurt Urdal; Jaakko Erkinaro; Sigbjørn Lien; Craig R. Primmer

Males and females share many traits that have a common genetic basis; however, selection on these traits often differs between the sexes, leading to sexual conflict. Under such sexual antagonism, theory predicts the evolution of genetic architectures that resolve this sexual conflict. Yet, despite intense theoretical and empirical interest, the specific loci underlying sexually antagonistic phenotypes have rarely been identified, limiting our understanding of how sexual conflict impacts genome evolution and the maintenance of genetic diversity. Here we identify a large effect locus controlling age at maturity in Atlantic salmon (Salmo salar), an important fitness trait in which selection favours earlier maturation in males than females, and show it is a clear example of sex-dependent dominance that reduces intralocus sexual conflict and maintains adaptive variation in wild populations. Using high-density single nucleotide polymorphism data across 57 wild populations and whole genome re-sequencing, we find that the vestigial-like family member 3 gene (VGLL3) exhibits sex-dependent dominance in salmon, promoting earlier and later maturation in males and females, respectively. VGLL3, an adiposity regulator associated with size and age at maturity in humans, explained 39% of phenotypic variation, an unexpectedly large proportion for what is usually considered a highly polygenic trait. Such large effects are predicted under balancing selection from either sexually antagonistic or spatially varying selection. Our results provide the first empirical example of dominance reversal allowing greater optimization of phenotypes within each sex, contributing to the resolution of sexual conflict in a major and widespread evolutionary trade-off between age and size at maturity. They also provide key empirical evidence for how variation in reproductive strategies can be maintained over large geographical scales. We anticipate these findings will have a substantial impact on population management in a range of harvested species where trends towards earlier maturation have been observed.


Genetics | 2015

Epithelial Cadherin Determines Resistance to Infectious Pancreatic Necrosis Virus in Atlantic Salmon

Thomas Moen; Jacob Torgersen; Nina Santi; William S. Davidson; Matthew Baranski; Jørgen Ødegård; Sissel Kjøglum; Bente Velle; Matthew Kent; Krzysztof P. Lubieniecki; Eivind Isdal; Sigbjørn Lien

Infectious pancreatic necrosis virus (IPNV) is the cause of one of the most prevalent diseases in farmed Atlantic salmon (Salmo salar). A quantitative trait locus (QTL) has been found to be responsible for most of the genetic variation in resistance to the virus. Here we describe how a linkage disequilibrium-based test for deducing the QTL allele was developed, and how it was used to produce IPN-resistant salmon, leading to a 75% decrease in the number of IPN outbreaks in the salmon farming industry. Furthermore, we describe how whole-genome sequencing of individuals with deduced QTL genotypes was used to map the QTL down to a region containing an epithelial cadherin (cdh1) gene. In a coimmunoprecipitation assay, the Cdh1 protein was found to bind to IPNV virions, strongly indicating that the protein is part of the machinery used by the virus for internalization. Immunofluorescence revealed that the virus colocalizes with IPNV in the endosomes of homozygous susceptible individuals but not in the endosomes of homozygous resistant individuals. A putative causal single nucleotide polymorphism was found within the full-length cdh1 gene, in phase with the QTL in all observed haplotypes except one; the absence of a single, all-explaining DNA polymorphism indicates that an additional causative polymorphism may contribute to the observed QTL genotype patterns. Cdh1 has earlier been shown to be necessary for the internalization of certain bacteria and fungi, but this is the first time the protein is implicated in internalization of a virus.


Marine Biotechnology | 2012

Expressed Sequences and Polymorphisms in Rohu Carp (Labeo rohita, Hamilton) Revealed by mRNA-seq

Nicholas Robinson; P.K. Sahoo; Matthew Baranski; Kanta Das Mahapatra; Jatindra Nath Saha; Sweta Das; Yashowant Mishra; Paramananda Das; Hirak Kumar Barman; Ambekar E. Eknath

Expressed genes and polymorphisms were identified in lines of rohu Labeo rohita selected for resistance or susceptibility to Aeromonas hydrophila, an important bacterial pathogen causing aeromoniasis. All animals were grown in a common environment and RNA from ten individuals from each line pooled for Illumina mRNA-seq. De novo transcriptome assembly produced 137,629 contigs with 40× average coverage. Forty-four percent of the assembled sequences were annotated with gene names and ontology terms. Of these, 3,419 were assigned biological process terms related to “stress response” and 1,939 “immune system”. Twenty-six contigs containing 38 single nucleotide polymorphisms (SNPs) were found to map to the Cyprinus carpio mitochondrial genome and over 26,000 putative SNPs and 1,700 microsatellite loci were detected. Seventeen percent of the 100 transcripts with coverage data most indicative of higher-fold expression (>5.6 fold) in the resistant line pool showed homology to major histocompatibility (MH), heat shock proteins (HSP) 30, 70 and 90, glycoproteins or serum lectin genes with putative functions affecting immune response. Forty-one percent of these 100 transcripts showed no or low homology to known genes. Of the SNPs identified, 96 showing the highest allele frequency differences between susceptible and resistant line fish included transcripts with homology to MH class I and galactoside-binding soluble lectin, also with putative functions affecting innate and acquired immune response. A comprehensive sequence resource for L. rohita, including annotated microsatellites and SNPs from a mixture of A. hydrophila-susceptible and -resistant individuals, was created for subsequent experiments aiming to identify genes associated with A. hydrophila resistance.


PLOS ONE | 2014

The Development of a High Density Linkage Map for Black Tiger Shrimp (Penaeus monodon) Based on cSNPs

Matthew Baranski; Gopalapillay Gopikrishna; Nicholas Robinson; Vinaya Kumar Katneni; M.S. Shekhar; Jayakani Shanmugakarthik; Sarangapani Jothivel; Chavali Gopal; P. Ravichandran; Matthew Kent; Mariann Arnyasi; A. G. Ponniah

Transcriptome sequencing using Illumina RNA-seq was performed on populations of black tiger shrimp from India. Samples were collected from (i) four landing centres around the east coastline (EC) of India, (ii) survivors of a severe WSSV infection during pond culture (SUR) and (iii) the Andaman Islands (AI) in the Bay of Bengal. Equal quantities of purified total RNA from homogenates of hepatopancreas, muscle, nervous tissue, intestinal tract, heart, gonad, gills, pleopod and lymphoid organs were combined to create AI, EC and SUR pools for RNA sequencing. De novo transcriptome assembly resulted in 136,223 contigs (minimum size 100 base pairs, bp) with a total length 61 Mb, an average length of 446 bp and an average coverage of 163× across all pools. Approximately 16% of contigs were annotated with BLAST hit information and gene ontology annotations. A total of 473,620 putative SNPs/indels were identified. An Illumina iSelect genotyping array containing 6,000 SNPs was developed and used to genotype 1024 offspring belonging to seven full-sibling families. A total of 3959 SNPs were mapped to 44 linkage groups. The linkage groups consisted of between 16–129 and 13–130 markers, of length between 139–10.8 and 109.1–10.5 cM and with intervals averaging between 1.2 and 0.9 cM for the female and male maps respectively. The female map was 28% longer than the male map (4060 and 2917 cM respectively) with a 1.6 higher recombination rate observed for female compared to male meioses. This approach has substantially increased expressed sequence and DNA marker resources for tiger shrimp and is a useful resource for QTL mapping and association studies for evolutionarily and commercially important traits.


Frontiers in Genetics | 2016

Genome-Wide Association Study for Identifying Loci that Affect Fillet Yield, Carcass, and Body Weight Traits in Rainbow Trout (Oncorhynchus mykiss)

Dianelys Gonzalez-Pena; Guangtu Gao; Matthew Baranski; Thomas Moen; Beth M. Cleveland; P. Brett Kenney; Roger L. Vallejo; Yniv Palti; Timothy D. Leeds

Fillet yield (FY, %) is an economically-important trait in rainbow trout aquaculture that affects production efficiency. Despite that, FY has received little attention in breeding programs because it is difficult to measure on a large number of fish and cannot be directly measured on breeding candidates. The recent development of a high-density SNP array for rainbow trout has provided the needed tool for studying the underlying genetic architecture of this trait. A genome-wide association study (GWAS) was conducted for FY, body weight at 10 (BW10) and 13 (BW13) months post-hatching, head-off carcass weight (CAR), and fillet weight (FW) in a pedigreed rainbow trout population selectively bred for improved growth performance. The GWAS analysis was performed using the weighted single-step GBLUP method (wssGWAS). Phenotypic records of 1447 fish (1.5 kg at harvest) from 299 full-sib families in three successive generations, of which 875 fish from 196 full-sib families were genotyped, were used in the GWAS analysis. A total of 38,107 polymorphic SNPs were analyzed in a univariate model with hatch year and harvest group as fixed effects, harvest weight as a continuous covariate, and animal and common environment as random effects. A new linkage map was developed to create windows of 20 adjacent SNPs for use in the GWAS. The two windows with largest effect for FY and FW were located on chromosome Omy9 and explained only 1.0–1.5% of genetic variance, thus suggesting a polygenic architecture affected by multiple loci with small effects in this population. One window on Omy5 explained 1.4 and 1.0% of the genetic variance for BW10 and BW13, respectively. Three windows located on Omy27, Omy17, and Omy9 (same window detected for FY) explained 1.7, 1.7, and 1.0%, respectively, of genetic variance for CAR. Among the detected 100 SNPs, 55% were located directly in genes (intron and exons). Nucleotide sequences of intragenic SNPs were blasted to the Mus musculus genome to create a putative gene network. The network suggests that differences in the ability to maintain a proliferative and renewable population of myogenic precursor cells may affect variation in growth and fillet yield in rainbow trout.


Animal Genetics | 2008

Detection of QTL for growth rate in the blacklip abalone (Haliotis rubra Leach) using selective DNA pooling

Matthew Baranski; Meaghan L. Rourke; Shannon R. Loughnan; Ben J. Hayes; Christopher M. Austin; Nicholas Robinson

The objective of this study was to identify QTL for growth rate in the blacklip abalone Haliotis rubra using selective DNA pooling. Three full-sibling families of H. rubra derived from crosses of wild broodstock were used. DNA was extracted from the largest and smallest 10% of progeny and combined into two pools for each phenotypic tail. The DNA pools were typed with 139 microsatellites, and markers showing significant differences between the peak height ratios of alleles inherited from the parents were individually genotyped and analysed by interval mapping. A strong correlation (r = 0.94, P < 0.001) was found between the t-values from the analysis of pools and the t-values from the analysis of individual genotypes. Based on the interval mapping analysis, QTL were detected on nine linkage groups at a chromosome-wide P < 0.01 and one linkage group at a chromosome-wide P < 0.05. The study demonstrated that selective DNA pooling is efficient and effective as a first-pass screen for the discovery of QTL in an aquaculture species.


Molecular Biology Reports | 2014

Analysis of immune-related ESTs and differential expression analysis of few important genes in lines of rohu (Labeo rohita) selected for resistance and susceptibility to Aeromonas hydrophila infection

Sweta Das; Chiranjibi Chhottaray; Kanta Das Mahapatra; Jatindra Nath Saha; Matthew Baranski; Nicholas Robinson; P.K. Sahoo

A total of 137,629 contigs generated via de novo transcriptome assembly from resistant and susceptible lines of rohu (first generation) raised against aeromoniasis were further analyzed in terms of defence-related genes. Out of 1,939 contigs showing homology to genes involved in immune processes, 1,866 were further categorised into different functional subgroups. Comparative analysis revealed five genes for the first time in any carp species out of which apolipoprotein h, septin 4 isoform 3 and septin isoform cra_c were identified for the first time in fish. Differential expression analysis of ten genes viz., heat shock proteins (Hsps) (Hsp30, Hsp70 and Hsp90), serum lectin isoform 1 (SLI1), linker histone H1M (LHH1M), NAD(P)H quinone 1 (NQO1), zona pellucida 2 (ZP2) and three unknown genes that were highly up-expressed in first generation resistant line fish from mRNA-seq coverage data, was carried out using susceptible and resistant individuals of the second generation selected populations in eight different tissues viz. liver, kidney, intestine, gill, brain, spleen, skin and muscle using qPCR. Significant up-regulation in Hsp90, NQO1, C_116914 and C_22454 in specific tissues of resistant line and variable expression in Hsp30 and LHH1M genes in different tissues of both lines were noticed. The expression of Hsp70 was lower in many tissues of the resistant line than in susceptible line rohu. The expression of ZP2, SLI1 and C_94589 genes was not significantly different in terms of fold difference between the two lines. Differentially expressed genes need further characterisation to explore their role in resistance to Aeromonas hydrophila infection in rohu.


Molecular Ecology | 2016

Two adjacent inversions maintain genomic differentiation between migratory and stationary ecotypes of Atlantic cod.

Tina Graceline Kirubakaran; Harald Grove; Matthew Kent; Simen Rød Sandve; Matthew Baranski; Torfinn Nome; Maria Cristina De Rosa; Benedetta Righino; Torild Johansen; Håkon Otterå; Anna K. Sonesson; Sigbjørn Lien; Øivind Andersen

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Matthew Kent

Norwegian University of Life Sciences

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Jatindra Nath Saha

Central Institute of Freshwater Aquaculture

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Kanta Das Mahapatra

Central Institute of Freshwater Aquaculture

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P.K. Sahoo

Central Institute of Freshwater Aquaculture

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Sweta Das

Central Institute of Freshwater Aquaculture

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Thomas Moen

Norwegian University of Life Sciences

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Ben J. Hayes

University of Queensland

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Sigbjørn Lien

Norwegian University of Life Sciences

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