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Attention Score in Context
| Title |
Resistance gene enrichment sequencing (RenSeq) enables reannotation of the NB‐LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations
|
|---|---|
| Published in |
Plant Journal, October 2013
|
| DOI | 10.1111/tpj.12307 |
| Pubmed ID | |
| Authors |
Florian Jupe, Kamil Witek, Walter Verweij, Jadwiga Śliwka, Leighton Pritchard, Graham J. Etherington, Dan Maclean, Peter J. Cock, Richard M. Leggett, Glenn J. Bryan, Linda Cardle, Ingo Hein, Jonathan D.G. Jones |
| Abstract |
RenSeq is a NB-LRR (nucleotide binding-site leucine-rich repeat) gene-targeted, Resistance gene enrichment and sequencing method that enables discovery and annotation of pathogen resistance gene family members in plant genome sequences. We successfully applied RenSeq to the sequenced potato Solanum tuberosum clone DM, and increased the number of identified NB-LRRs from 438 to 755. The majority of these identified R gene loci reside in poorly or previously unannotated regions of the genome. Sequence and positional details on the 12 chromosomes have been established for 704 NB-LRRs and can be accessed through a genome browser that we provide. We compared these NB-LRR genes and the corresponding oligonucleotide baits with the highest sequence similarity and demonstrated that ~80% sequence identity is sufficient for enrichment. Analysis of the sequenced tomato S. lycopersicum 'Heinz 1706' extended the NB-LRR complement to 394 loci. We further describe a methodology that applies RenSeq to rapidly identify molecular markers that co-segregate with a pathogen resistance trait of interest. In two independent segregating populations involving the wild Solanum species S. berthaultii (Rpi-ber2) and S. ruiz-ceballosii (Rpi-rzc1), we were able to apply RenSeq successfully to identify markers that co-segregate with resistance towards the late blight pathogen Phytophthora infestans. These SNP identification workflows were designed as easy-to-adapt Galaxy pipelines. |
X Demographics
The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 28% |
| United Kingdom | 8 | 15% |
| Germany | 4 | 7% |
| France | 3 | 6% |
| Australia | 3 | 6% |
| Netherlands | 2 | 4% |
| Ireland | 1 | 2% |
| Argentina | 1 | 2% |
| Canada | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 14 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 57% |
| Members of the public | 17 | 31% |
| Science communicators (journalists, bloggers, editors) | 4 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 5 | <1% |
| United States | 3 | <1% |
| United Kingdom | 3 | <1% |
| Sweden | 3 | <1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Austria | 1 | <1% |
| Slovenia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 496 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 136 | 26% |
| Student > Ph. D. Student | 130 | 25% |
| Student > Bachelor | 44 | 8% |
| Student > Master | 42 | 8% |
| Other | 25 | 5% |
| Other | 65 | 13% |
| Unknown | 76 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 328 | 63% |
| Biochemistry, Genetics and Molecular Biology | 77 | 15% |
| Engineering | 8 | 2% |
| Environmental Science | 4 | <1% |
| Immunology and Microbiology | 4 | <1% |
| Other | 11 | 2% |
| Unknown | 86 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 11 July 2023.
All research outputs
#1,085,053
of 26,017,215 outputs
Outputs from Plant Journal
#151
of 7,475 outputs
Outputs of similar age
#9,648
of 226,614 outputs
Outputs of similar age from Plant Journal
#3
of 56 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 97% 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 226,614 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.