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Genome-wide identification and evolutionary analysis of leucine-rich repeat receptor-like protein kinase genes in soybean

Overview of attention for article published in BMC Plant Biology, March 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Genome-wide identification and evolutionary analysis of leucine-rich repeat receptor-like protein kinase genes in soybean
Published in
BMC Plant Biology, March 2016
DOI 10.1186/s12870-016-0744-1
Pubmed ID
Authors

Fulai Zhou, Yong Guo, Li-Juan Qiu

Abstract

Leucine-rich repeat receptor-like kinases (LRR-RLKs) constitute the largest subfamily of receptor-like kinases in plant. A number of reports have demonstrated that plant LRR-RLKs play important roles in growth, development, differentiation, and stress responses. However, no comprehensive analysis of this gene family has been carried out in legume species. Based on the principles of sequence similarity and domain conservation, a total of 467 LRR-RLK genes were identified in soybean genome. The GmLRR-RLKs are non-randomly distributed across all 20 chromosomes of soybean and about 73.3 % of them are located in segmental duplicated regions. The analysis of synonymous substitutions for putative paralogous gene pairs indicated that most of these gene pairs resulted from segmental duplications in soybean genome. Furthermore, the exon/intron organization, motif composition and arrangements were considerably conserved among members of the same groups or subgroups in the constructed phylogenetic tree. The close phylogenetic relationship between soybean LRR-RLK genes with identified Arabidopsis genes in the same group also provided insight into their putative functions. Expression profiling analysis of GmLRR-RLKs suggested that they appeared to be differentially expressed among different tissues and some of duplicated genes exhibited divergent expression patterns. In addition, artificial selected GmLRR-RLKs were also identified by comparing the SNPs between wild and cultivated soybeans and 17 genes were detected in regions previously reported to contain domestication-related QTLs. Comprehensive and evolutionary analysis of soybean LRR-RLK gene family was performed at whole genome level. The data provides valuable tools in future efforts to identify functional divergence of this gene family and gene diversity among different genotypes in legume species.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 8 13%
Student > Master 8 13%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Other 6 9%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 42%
Biochemistry, Genetics and Molecular Biology 15 23%
Environmental Science 2 3%
Arts and Humanities 1 2%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 18 28%
Attention Score in Context

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 22 June 2016.
All research outputs
#13,122,784
of 22,879,161 outputs
Outputs from BMC Plant Biology
#900
of 3,264 outputs
Outputs of similar age
#137,521
of 298,659 outputs
Outputs of similar age from BMC Plant Biology
#16
of 62 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,264 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 71% 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 298,659 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 53% of its contemporaries.
We're also able to compare this research output to 62 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 74% of its contemporaries.