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Distinctive characters of Nostoc genomes in cyanolichens

Overview of attention for article published in BMC Genomics, June 2018
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Title
Distinctive characters of Nostoc genomes in cyanolichens
Published in
BMC Genomics, June 2018
DOI 10.1186/s12864-018-4743-5
Pubmed ID
Authors

Andrey N. Gagunashvili, Ólafur S. Andrésson

Abstract

Cyanobacteria of the genus Nostoc are capable of forming symbioses with a wide range of organism, including a diverse assemblage of cyanolichens. Only certain lineages of Nostoc appear to be able to form a close, stable symbiosis, raising the question whether symbiotic competence is determined by specific sets of genes and functionalities. We present the complete genome sequencing, annotation and analysis of two lichen Nostoc strains. Comparison with other Nostoc genomes allowed identification of genes potentially involved in symbioses with a broad range of partners including lichen mycobionts. The presence of additional genes necessary for symbiotic competence is likely reflected in larger genome sizes of symbiotic Nostoc strains. Some of the identified genes are presumably involved in the initial recognition and establishment of the symbiotic association, while others may confer advantage to cyanobionts during cohabitation with a mycobiont in the lichen symbiosis. Our study presents the first genome sequencing and genome-scale analysis of lichen-associated Nostoc strains. These data provide insight into the molecular nature of the cyanolichen symbiosis and pinpoint candidate genes for further studies aimed at deciphering the genetic mechanisms behind the symbiotic competence of Nostoc. Since many phylogenetic studies have shown that Nostoc is a polyphyletic group that includes several lineages, this work also provides an improved molecular basis for demarcation of a Nostoc clade with symbiotic competence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Researcher 15 19%
Student > Ph. D. Student 13 17%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 38%
Biochemistry, Genetics and Molecular Biology 15 19%
Environmental Science 5 6%
Immunology and Microbiology 3 4%
Chemistry 2 3%
Other 3 4%
Unknown 20 26%
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 19 June 2018.
All research outputs
#20,522,137
of 23,090,520 outputs
Outputs from BMC Genomics
#9,330
of 10,705 outputs
Outputs of similar age
#289,335
of 329,786 outputs
Outputs of similar age from BMC Genomics
#207
of 250 outputs
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