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Horizontal Gene Transfer is a Significant Driver of Gene Innovation in Dinoflagellates

TLDR
The transcriptome of A. tamarense Group IV lends strong support to a growing body of evidence that dinoflagellate genomes are extraordinarily impacted by HGT.
Abstract
The dinoflagellates are an evolutionarily and ecologically important group of microbial eukaryotes. Previous work suggests that horizontal gene transfer (HGT) is an important source of gene innovation in these organisms. However, dinoflagellate genomes are notoriously large and complex, making genomic investigation of this phenomenon impractical with currently available sequencing technology. Fortunately, de novo transcriptome sequencing and assembly provides an alternative approach for investigating HGT. We sequenced the transcriptome of the dinoflagellate Alexandrium tamarense Group IV to investigate how HGT has contributed to gene innovation in this group. Our comprehensive A. tamarense Group IV gene set was compared with those of 16 other eukaryotic genomes. Ancestral gene content reconstruction of ortholog groups shows that A. tamarense Group IV has the largest number of gene families gained (314‐1,563 depending on inference method) relative to all other organisms in the analysis (0‐782). Phylogenomic analysis indicates that genes horizontally acquired from bacteria are a significant proportion of this gene influx, as are genes transferred from other eukaryotes either through HGT or endosymbiosis. The dinoflagellates also display curious cases of gene loss associated with mitochondrial metabolism including the entire Complex I of oxidative phosphorylation. Some of these missing genes have been functionally replaced by bacterial and eukaryotic xenologs. The transcriptome of A. tamarense Group IV lends strong support to a growing body of evidence that dinoflagellate genomes are extraordinarily impacted by HGT.

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Journal Article

Fast Tree: Computing Large Minimum-Evolution Trees with Profiles instead of a Distance Matrix

TL;DR: FastTree as mentioned in this paper uses sequence profiles of internal nodes in the tree to implement neighbor-joining and uses heuristics to quickly identify candidate joins, then uses nearest-neighbor interchanges to reduce the length of the tree.

Niche of harmful alga Aureococcus anophagefferens revealed through ecogenomics - eScholarship

TL;DR: A. anophagefferens possesses a larger genome (56 Mbp) and has more genes involved in light harvesting, organic carbon and nitrogen use, and encoding selenium- and metal-requiring enzymes than competing phytoplankton as mentioned in this paper.
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Progress toward isolation of strains and genetically engineered strains of microalgae for production of biofuel and other value added chemicals: A review

TL;DR: The present review is focused on key factors for sample collection, isolation, and identification to obtain a pure microalgal species, present status for isolation of microAlgal strains worldwide based on geographical location and habitat, the current research for application of genetic engineering tools for enhanced production of biodiesel and value added chemicals, and the comparison of different cultivation systems for genetically modified strain.
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Unfolding the secrets of coral–algal symbiosis

TL;DR: Ten53 genes, orthologous among four Symbiodinium clades, that share a high level of sequence identity to known proteins from the SwissProt (SP) database are reported, providing a list of homologous genes important for the foundation of coral–algal symbiosis.
References
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Journal ArticleDOI

RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

TL;DR: UNLABELLED RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML) that has been used to compute ML trees on two of the largest alignments to date.
Journal ArticleDOI

FastTree 2--approximately maximum-likelihood trees for large alignments.

TL;DR: Improvements to FastTree are described that improve its accuracy without sacrificing scalability, and FastTree 2 allows the inference of maximum-likelihood phylogenies for huge alignments.
Journal ArticleDOI

Velvet: Algorithms for de novo short read assembly using de Bruijn graphs

TL;DR: Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies and is in close agreement with simulated results without read-pair information.
Journal ArticleDOI

MAFFT version 5: improvement in accuracy of multiple sequence alignment

TL;DR: Improvement in accuracy was generally observed for most methods, but remarkably large for the new options of MAFFT proposed here, which showed higher accuracy than currently available methods including TCoffee version 2 and CLUSTAL W in benchmark tests consisting of alignments of >50 sequences.
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