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Homoeolog expression bias in allopolyploid oleaginous marine diatom Fistulifera solaris

Overview of attention for article published in BMC Genomics, May 2018
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Title
Homoeolog expression bias in allopolyploid oleaginous marine diatom Fistulifera solaris
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4691-0
Pubmed ID
Authors

Tatsuhiro Nomaguchi, Yoshiaki Maeda, Tomoko Yoshino, Toru Asahi, Leila Tirichine, Chris Bowler, Tsuyoshi Tanaka

Abstract

Allopolyploidy is a genomic structure wherein two or more sets of chromosomes derived from divergent parental species coexist within an organism. It is a prevalent genomic configuration in plants, as an important source of genetic variation, and also frequently confers environmental adaptability and increased crop productivity. We previously reported the oleaginous marine diatom Fistulifera solaris JPCC DA0580 to be a promising host for biofuel production and that its genome is allopolyploid, which had never previously been reported in eukaryotic microalgae. However, the study of allopolyploidy in F. solaris was hindered by the difficulty in classifying the homoeologous genes based on their progenitor origins, owing to the shortage of diatom genomic references. In this study, the allopolyploid genome of F. solaris was tentatively classified into two pseudo-parental subgenomes using sequence analysis based on GC content and codon frequency in each homoeologous gene pair. This approach clearly separated the genome into two distinct fractions, subgenome Fso_h and Fso_l, which also showed the potency of codon usage analysis to differentiate the allopolyploid subgenome. Subsequent homoeolog expression bias analysis revealed that, although both subgenomes appear to contribute to global transcription, there were subgenomic preferences in approximately 61% of homoeologous gene pairs, and the majority of these genes showed continuous bias towards a specific subgenome during lipid accumulation. Additional promoter analysis indicated the possibility of promoter motifs involved in biased transcription of homoeologous genes. Among these subgenomic preferences, genes involved in lipid metabolic pathways showed interesting patterns in that biosynthetic and degradative pathways showed opposite subgenomic preferences, suggesting the possibility that the oleaginous characteristics of F. solaris derived from one of its progenitors. We report the detailed genomic structure and expression patterns in the allopolyploid eukaryotic microalga F. solaris. The allele-specific patterns reported may contribute to the oleaginous characteristics of F. solaris and also suggest the robust oleaginous characteristics of one of its progenitors. Our data reveal novel aspects of allopolyploidy in a diatom that is not only important for evolutionary studies but may also be advantageous for biofuel production in microalgae.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Other 2 6%
Student > Bachelor 2 6%
Other 1 3%
Unknown 10 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Biochemistry, Genetics and Molecular Biology 6 19%
Chemical Engineering 1 3%
Engineering 1 3%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from BMC Genomics
#8,228
of 10,697 outputs
Outputs of similar age
#253,320
of 326,669 outputs
Outputs of similar age from BMC Genomics
#187
of 252 outputs
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