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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Barcode System for Genetic Identification of Soybean [Glycine max (L.) Merrill] Cultivars Using InDel Markers Specific to Dense Variation Blocks
|
|---|---|
| Published in |
Frontiers in Plant Science, April 2017
|
| DOI | 10.3389/fpls.2017.00520 |
| Pubmed ID | |
| Authors |
Hwang-Bae Sohn, Su-Jeong Kim, Tae-Young Hwang, Hyang-Mi Park, Yu-Young Lee, Kesavan Markkandan, Dongwoo Lee, Sunghoon Lee, Su-Young Hong, Yun-Ho Song, Bon-Cheol Koo, Yul-Ho Kim |
| Abstract |
For genetic identification of soybean [Glycine max (L.) Merrill] cultivars, insertions/deletions (InDel) markers have been preferred currently because they are easy to use, co-dominant and relatively abundant. Despite their biological importance, the investigation of InDels with proven quality and reproducibility has been limited. In this study, we described soybean barcode system approach based on InDel makers, each of which is specific to a dense variation block (dVB) with non-random recombination due to many variations. Firstly, 2,274 VBs were mined by analyzing whole genome data in six soybean cultivars (Backun, Sinpaldal 2, Shingi, Daepoong, Hwangkeum, and Williams 82) for transferability to dVB-specific InDel markers. Secondly, 73,327 putative InDels in the dVB regions were identified for the development of soybean barcode system. Among them, 202 dVB-specific InDels from all soybean cultivars were selected by gel electrophoresis, which were converted as 2D barcode types according to comparing amplicon polymorphisms in the five cultivars to the reference cultivar. Finally, the polymorphism of the markers were assessed in 147 soybean cultivars, and the soybean barcode system that allows a clear distinction among soybean cultivars is also detailed. In addition, the changing of the dVBs in a chromosomal level can be quickly identified due to investigation of the reshuffling pattern of the soybean cultivars with 27 maker sets. Especially, a backcross-inbred offspring, "Singang" and a recurrent parent, "Sowon" were identified by using the 27 InDel markers. These results indicate that the soybean barcode system enables not only the minimal use of molecular markers but also comparing the data from different sources due to no need of exploiting allele binning in new varieties. |
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 % |
|---|---|---|
| United States | 1 | 13% |
| Spain | 1 | 13% |
| India | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 27% |
| Student > Master | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 42% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
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 11 June 2017.
All research outputs
#6,911,157
of 22,963,381 outputs
Outputs from Frontiers in Plant Science
#4,046
of 20,392 outputs
Outputs of similar age
#110,355
of 310,129 outputs
Outputs of similar age from Frontiers in Plant Science
#127
of 556 outputs
Altmetric has tracked 22,963,381 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 20,392 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 310,129 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 64% of its contemporaries.
We're also able to compare this research output to 556 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.