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Functional marker development of miR1511-InDel and allelic diversity within the genus Glycine

Overview of attention for article published in BMC Genomics, June 2015
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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5 tweeters

Citations

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8 Dimensions

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Title
Functional marker development of miR1511-InDel and allelic diversity within the genus Glycine
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1665-3
Pubmed ID
Authors

Nang Myint Phyu Sin Htwe, Zhong-Qin Luo, Long-Guo Jin, Brian Nadon, Ke-Jing Wang, Li-Juan Qiu

Abstract

Single-stranded non-protein coding small RNAs, 18-25 nucleotides in length, are ubiquitous throughout plants genomes and are involved in post-transcriptional gene regulation. Several types of DNA markers have been reported for the detection of genetic diversity or sequence variation in soybean, one of the most important legume crops in worldwide for seed protein and oil content. Recently, with the available of public genomic databases, there has been a shift from the labor-intensive development of PCR-based markers to sequence-based genotyping and the development of functional markers within genes, often coupled with the use of RNA information. But thus far miRNA-based markers have been only developed in rice and tobacco. Here we report the first functional molecular miRNA marker, miR1511-InDel, in soybean for a specific single copy locus used to assess genetic variation in domesticated soybean (Glycine max [L.] Merr) and its wild progenitor (Glycine soja Sieb. & Zucc.). We genotyped a total of 1,669 accessions of domesticated soybean (G. max) and its wild progenitor G. soja which are native throughout the China and parts of Korea, Japan and Russia. The results indicate that the miR1511 locus is distributed in cultivated soybean and has three alleles in annual wild soybean. Based on this result, we proposed that miR-InDel marker technology can be used to assess genetic variation. The inclusion of geo-reference data with miR1511-InDel marker data corroborated that accessions from the Yellow River basin (Huanghuai) exhibited high genetic diversity which provides more molecular evidence for gene diversity in annual wild soybean and domestication of soybean. These results provide evidence for the use of RNA marker, miRNA1511-InDel, as a soybean-specific functional maker for the study of genetic diversity, genotyping of germplasm and evolution studies. This is also the first report of functional marker developed from soybean miRNA located within the functional region of pre-miRNA1511.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Professor > Associate Professor 1 11%
Student > Doctoral Student 1 11%
Unknown 5 56%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Unknown 5 56%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 July 2015.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from BMC Genomics
#3,603
of 10,653 outputs
Outputs of similar age
#89,241
of 264,477 outputs
Outputs of similar age from BMC Genomics
#90
of 250 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 264,477 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 57% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.