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Moss phylogeny reconstruction using nucleotide pangenome of complete Mitogenome sequences

Overview of attention for article published in Biochemistry, November 2015
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Title
Moss phylogeny reconstruction using nucleotide pangenome of complete Mitogenome sequences
Published in
Biochemistry, November 2015
DOI 10.1134/s0006297915110152
Pubmed ID
Authors

D. V. Goryunov, B. E. Nagaev, M. Yu. Nikolaev, A. V. Alexeevski, A. V. Troitsky

Abstract

Stability of composition and sequence of genes was shown earlier in 13 mitochondrial genomes of mosses (Rensing, S. A., et al. (2008) Science, 319, 64-69). It is of interest to study the evolution of mitochondrial genomes not only at the gene level, but also on the level of nucleotide sequences. To do this, we have constructed a "nucleotide pangenome" for mitochondrial genomes of 24 moss species. The nucleotide pangenome is a set of aligned nucleotide sequences of orthologous genome fragments covering the totality of all genomes. The nucleotide pangenome was constructed using specially developed new software, NPG-explorer (NPGe). The stable part of the mitochondrial genome (232 stable blocks) is shown to be, on average, 45% of its length. In the joint alignment of stable blocks, 82% of positions are conserved. The phylogenetic tree constructed with the NPGe program is in good correlation with other phylogenetic reconstructions. With the NPGe program, 30 blocks have been identified with repeats no shorter than 50 bp. The maximal length of a block with repeats is 140 bp. Duplications in the mitochondrial genomes of mosses are rare. On average, the genome contains about 500 bp in large duplications. The total length of insertions and deletions was determined in each genome. The losses and gains of DNA regions are rather active in mitochondrial genomes of mosses, and such rearrangements presumably can be used as additional markers in the reconstruction of phylogeny.

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The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 8%
Russia 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 2 15%
Student > Bachelor 2 15%
Student > Master 2 15%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 2 15%
Environmental Science 2 15%
Unknown 3 23%
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 14 September 2016.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Biochemistry
#19,491
of 22,288 outputs
Outputs of similar age
#237,335
of 392,500 outputs
Outputs of similar age from Biochemistry
#52
of 145 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,288 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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