Arapaima, Arapaima gigas, Pirarucu, Paiche Fish Guide
The Pirarucu (Arapaima gigas) is among the world’s biggest freshwater fish and member of the particular superorder Osteoglossomorpha (bonytongues), one of the oldest lineages of ray-finned fishes. This specific species is an obligate air-breather found in the particular basin of the Amazon online River having an attractive potential for aquaculture. Its phylogenetic position among bony these people own in makes the Pirarucu a relevant subject for evolutionary scientific studies of early teleost variation. Here, we present, initially, a draft genome variation of the A. gigas genome, providing useful information for further functional and evolutionary studies. The A. gigas genome was assembled together with 103-Gb raw reads sequenced within an Illumina platform. The particular final draft genome set up was ∼661 Mb, with the contig N50 equal to fifty-one. 23 kb and scaffold N50 of 668 kb. Repeat sequences accounted for 21. 69% of the whole genome, and also a total of 24, 655 protein-coding genes have been predicted from the genome assembly, having an average associated with nine exons per gene. Phylogenomic analysis based on 24 fish species supported the postulation that Osteoglossomorpha and Elopomorpha (eels, tarpons, and bonefishes) are cousin groups, both forming the sister lineage regarding Clupeocephala (remaining teleosts). Divergence period estimations suggested that Osteoglossomorpha and Elopomorpha lineages appeared independently in a length of ∼30 Myr in typically the Jurassic. The draft genome of A. gigas provides the valuable genetic resource regarding further investigations of major studies and may likewise give a valuable data for monetary applications.
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Big Fishes of the World: ARAPAIMA PIRARUCU Arapaima gigas
Arapaima gigas, also known as Pirarucu or Paiche, is one of the world’s biggest freshwater fishes (Wijnstekers 2011) whose body length in addition to weight may attain some. 5 m (15 ft) and 2 hundred Kg (440 lb), respectively (Nelson 1994; Froese and Pauly 2018). The genus Arapaima emerged in the Amazon online floodplain basin and will be presently distributed in Brazilian, Colombia, Ecuador, and Peru (Hrbek et al. 2005, 2007; Froese and Pauly 2018), and also within Thailand and Malaysia wherever it has been introduced for commercial fishing (Froese and Pauly 2018). Arapaima gigas local name (Pirarucu) derives through the indigenous Tupi words “pira” and “urucum” for “fish” and “red, ” respectively, presumably mentioning to its red tail scales flecks in order to its reddish flesh (Marsden year 1994; Godinho et al. 2005). The peculiarity of its inhaling and exhaling apparatus is characteristic associated with this Amazonian fish, composed of gills and a lung-like tissue devised for air-breathing derived from a modified and enlarged swim bladder (Burnie and Wilson 2001; Brauner et al. 2004). The Pirarucu has an interesting market value due to its low-fat and low bone content material. Overfishing practices in the Amazonian region led to the banning of Pirarucu commercialization by the Brazilian federal government in 2001, although consumption by the native population is usually currently permitted under rigid size and seasoning restrictions (Bayley and Petrere 1989). Its main supply will be provided by wild-caught species of fish and fish farming performed by riverbank population associated with the Amazonas (Froese plus Pauly 2018). Aquaculture manufacturing is attractive due in order to high carcass yields in addition to rapid juvenile growth, together with yearlings reaching up to be able to 10 kg (22 lb) (Almeida et al. 2013).
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Arapaima gigas belongs to typically the superorder Osteoglossomorpha of bony-tongued fishes whose tongue includes sharp bony teeth regarding disabling and shredding preys (Sanford and Lauder 1990; Burnie and Wilson 2001). Together with Elopomorpha (eels and tarpons) and Clupeocephala (most of extant fish species), the Osteoglossomorpha comprises 1 of the three primary teleosts groups whose phylogenetic position has been controversial (Le et al. 1993; Inoue et al. the year 2003; Near et al. this year; Betancur-R 2013; Faircloth ou al. 2013; Chen ou al. 2015; Hughes ou al. 2018). Fossil records and some early molecular studies, including a latest comprehensive analysis of > 300 Actinopterygii species (Hughes et al. 2018), located Osteoglossomorpha since the oldest teleost group (Greenwood 1970; Inoue et al. 2003), whilst other studies put Elopomorpha as the most primitive one (Near et 's. 2012; Betancur-R 2013; Faircloth et al. 2013). Just lately, a phylogenetic study depending on whole genome sequencing from the bony-tongued Asian arowana (Scleropages formosus) suggested that the particular branching of Elopomorpha and Osteoglossomorpha occurred almost simultaneously, inserting them as sibling lineages of Clupeocephala (Bian 2016). Within this framework, the genome of the particular Pirarucu provides new information to study the evolutionary history of teleosts as well as providing useful info for sustainable exploration of this giant Amazon species of fish. Here, we present the first whole genome assemblage, gene annotation, and phylogenomic inference of the Pirarucu that ought to facilitate the molecular characterization and conservation associated with this economically important species of fish species.
Arapaima, Arapaima gigas, Pirarucu, Paiche Fish Guide
Sample Collection and SequencingGenomic DNA was extracted coming from peripheral blood samples associated with four adult individuals (two males and two females) of Arapaima gigas: NCBI taxonomy ID 113544, FishBase ID: 2076. All examples were collected in accordance with the standards of the Federal University regarding Pará animal protocol. All of us applied a whole-genome shotgun sequencing strategy using 2 short-insert libraries (400 plus 500 bp) in an Illumina HiSeq 2500 platform according to the manufacturer’s instructions (Illumina, San Diego, CA). HiSeq Rapid SBS Kits (FC-402-4021) and HiSeq Rapid Group Kits (PE-402-4002) were applied to sequence paired-end read of 2 × 250 base sets. Read quality was examined using FastQC, version zero. 11. 4 (Andrews 2010), and low-quality reads were trimmed with Sickle paired-end (pe), version 1. 33 (Joshi and Fass 2011), under default parameters.Genome Size Estimation and De Novo AssemblageGenome sizing was estimated based upon the k-mer spectrum with the following formula: G= (N×(L−K + 1)−B)/D. Where N is typically the total read count, L will be the read length, E is k-mer length (K = 31), B is the complete low-frequency (frequency ≤1) k-mer count, D is the particular k-mer depth, and Gary the gadget guy is the genome dimension. Jellyfish 2. 2. six (Marçais and Kingsford 2011) was used to count k-mer frequencies of high-quality sequencing reads.Genome set up was performed using SOAPdenovo2 (version 2. 04) (Luo et al. 2012) under default parameters (127mer version). Three assemblies were conducted: 1) using all reads; 2) with reads coming from male samples; and 3) with reads from women samples. Subsequently, gaps were filled using Redundants (Pryszcz and Gabaldón 2016) making use of three-run scaffolding steps: firstly using the default value regarding minimum read pairs to be able to joining contigs (5 pairs), subsequently rerunning with earlier data having a minimum worth of four read pairs and, finally, utilizing a lowest of three read pairs. Assembly quality and statistics were assessed with QUAST (version 4. 4) (Gurevich et al. 2013).
THE FUCKING OCEAN YOU GUYS — Arapaima Gigas
Assessment of Genome CompletenessAssemblage quality was measured by simply assessing gene completeness along with Benchmarking Universal Single-Copy Orthologs (BUSCO) (Simão et al. 2015) based on some, 584 BUSCO groups derived from Actinopterygii orthologs.Do it again AnalysisTransposable elements (TEs) and other repetitive elements of the Pirarucu genome were identified by a combined, homology-based method in addition to a de novo réflexion approach. Initially, tandem repeats were identified with Conjunction Repeats Finder 4. 2009 (Benson 1999) with typically the following parameters: “Match=2, Mismatch=7, Delta=7, PM=80, PI=10, Minscore=50, and MaxPerid=2, 000. ” Additionally, a de novo repeat library was constructed with RepeatModeler 1. 0. 9 and LTR_FINDER (Xu and Wang 2007), plus filtered with LTR_retriever (Ou and Jiang 2017) beneath default parameters. Subsequently, recognized and novel transposable factors were identified by mapping the assembled sequences towards the Repbase TE 22. 05 (Bao et al. 2015) and de novo replicate libraries using RepeatMasker some. 0 (Tarailo-Graovac and Chen 2009). In addition, all of us annotated TE-related proteins using RepeatProteinMask 4. 0 (Tarailo-Graovac and Chen 2009).Gene Structure and Function ObservationGenome annotation was carried out with the MAKER2 pipeline (Holt and Yandell 2011) inside a two-pass iteration. First, homology annotation was performed with protein data through Homo sapiens (human), Danio rerio (zebrafish), Takifugu rubripes (Japanese fugu), Tetraodon nigroviridis (spotted green pufferfish), Gasterosteus aculeatus (three-spined stickleback), Oryzias latipes (Japanese medaka), Latimeria chalumnae (coelacanth) (Ensembl release 88), together with Scleropages formosus (Asian arowana) protein sequences from NCBI RefSeq annotation data. Subsequently, de novo annotations were performed using the homology-based results achieved in the very first step. We also used the RepeatModeller 1. 0. nine (Smit and Hubley 2008) to build a sobre novo repeat library with default parameters. The GFF output from the first step was used to train the SNAP 20131129 (Korf 2004) and AUGUSTUS 3. 2. 3 (Stanke et al. 2008) predictors. GeneMark-ES 4. 32 (Lomsadze et al. 2005) had been trained using the genome assembly itself. InterProScan five. 24-63. 0 (Jones et al. 2014) was run on the protein output associated with MAKER, providing gene ontologies and classifying protein domains and families. Protein result was compared using BLAST against the NCBI NR database (available on May 29, 2017) for identifying putative gene names. Blast2GO v5 (Conesa et al. 2005) was subsequently utilized to obtain Gene Ontology mapping and annotation (supplementary file S2, Supplementary Material online).