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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
|
|---|---|
| Published in |
BMC Genomics, March 2015
|
| DOI | 10.1186/s12864-015-1424-5 |
| Pubmed ID | |
| Authors |
Huihui Li, Prashant Vikram, Ravi Prakash Singh, Andrzej Kilian, Jason Carling, Jie Song, Juan Andres Burgueno-Ferreira, Sridhar Bhavani, Julio Huerta-Espino, Thomas Payne, Deepmala Sehgal, Peter Wenzl, Sukhwinder Singh |
| Abstract |
Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage mapping to construct a consensus map containing 28644 GBS markers. Three RIL populations, PBW343 × Kingbird, PBW343 × Kenya Swara and PBW343 × Muu, which share a common parent, were used to minimize the impact of potential structural genomic variation on consensus-map quality. The consensus map comprised 3757 unique positions, and the average marker distance was 0.88 cM, obtained by calculating the average distance between two adjacent unique positions. Significant variation of segregation distortion was observed across the three populations. The consensus map was validated by comparing positions of known rust resistance genes, and comparing them to wheat reference genome sequences recently published by the International Wheat Genome Sequencing Consortium, Rye and Ae. tauschii genomes. Three well-characterized rust resistance genes (Sr58/Lr46/Yr29, Sr2/Yr30/Lr27, and Sr57/Lr34/Yr18) and 15 published QTLs for wheat rusts were validated with high resolution. Fifty-two per cent of GBS tags on the consensus map were successfully aligned through BLAST to the right chromosomes on the wheat reference genome sequence. The consensus map should provide a useful basis for analyzing genome-wide variation of complex traits. The identified genes can then be explored as genetic markers to be used in genomic applications in wheat breeding. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 1% |
| Mexico | 3 | 1% |
| United States | 2 | <1% |
| India | 1 | <1% |
| Ireland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 194 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 30% |
| Researcher | 42 | 20% |
| Student > Master | 19 | 9% |
| Student > Doctoral Student | 19 | 9% |
| Other | 11 | 5% |
| Other | 30 | 15% |
| Unknown | 24 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 144 | 70% |
| Biochemistry, Genetics and Molecular Biology | 17 | 8% |
| Unspecified | 3 | 1% |
| Computer Science | 3 | 1% |
| Environmental Science | 2 | <1% |
| Other | 7 | 3% |
| Unknown | 30 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 17 March 2016.
All research outputs
#2,946,195
of 23,881,329 outputs
Outputs from BMC Genomics
#1,006
of 10,793 outputs
Outputs of similar age
#38,049
of 265,901 outputs
Outputs of similar age from BMC Genomics
#24
of 283 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 265,901 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 283 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 90% of its contemporaries.