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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Patterns of genomic variation in the poplar rust fungus Melampsora larici-populina identify pathogenesis-related factors
|
|---|---|
| Published in |
Frontiers in Plant Science, September 2014
|
| DOI | 10.3389/fpls.2014.00450 |
| Pubmed ID | |
| Authors |
Antoine Persoons, Emmanuelle Morin, Christine Delaruelle, Thibaut Payen, Fabien Halkett, Pascal Frey, Stéphane De Mita, Sébastien Duplessis |
| Abstract |
Melampsora larici-populina is a fungal pathogen responsible for foliar rust disease on poplar trees, which causes damage to forest plantations worldwide, particularly in Northern Europe. The reference genome of the isolate 98AG31 was previously sequenced using a whole genome shotgun strategy, revealing a large genome of 101 megabases containing 16,399 predicted genes, which included secreted protein genes representing poplar rust candidate effectors. In the present study, the genomes of 15 isolates collected over the past 20 years throughout the French territory, representing distinct virulence profiles, were characterized by massively parallel sequencing to assess genetic variation in the poplar rust fungus. Comparison to the reference genome revealed striking structural variations. Analysis of coverage and sequencing depth identified large missing regions between isolates related to the mating type loci. More than 611,824 single-nucleotide polymorphism (SNP) positions were uncovered overall, indicating a remarkable level of polymorphism. Based on the accumulation of non-synonymous substitutions in coding sequences and the relative frequencies of synonymous and non-synonymous polymorphisms (i.e., PN/PS ), we identify candidate genes that may be involved in fungal pathogenesis. Correlation between non-synonymous SNPs in genes encoding secreted proteins (SPs) and pathotypes of the studied isolates revealed candidate genes potentially related to virulences 1, 6, and 8 of the poplar rust fungus. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 25% |
| France | 2 | 25% |
| Netherlands | 1 | 13% |
| Australia | 1 | 13% |
| Canada | 1 | 13% |
| Germany | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 88% |
| Members of the public | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Netherlands | 1 | 1% |
| Sweden | 1 | 1% |
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 77 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 28% |
| Researcher | 16 | 19% |
| Student > Master | 14 | 17% |
| Other | 6 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 64% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Environmental Science | 3 | 4% |
| Computer Science | 3 | 4% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2018.
All research outputs
#6,762,613
of 22,705,019 outputs
Outputs from Frontiers in Plant Science
#3,875
of 19,928 outputs
Outputs of similar age
#69,921
of 246,381 outputs
Outputs of similar age from Frontiers in Plant Science
#33
of 168 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 19,928 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.