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Decipher the ancestry of the plant-specific LBD gene family

Overview of attention for article published in BMC Genomics, January 2017
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Title
Decipher the ancestry of the plant-specific LBD gene family
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3264-3
Pubmed ID
Authors

Yimeng Kong, Peng Xu, Xinyun Jing, Longxian Chen, Laigeng Li, Xuan Li

Abstract

Lateral Organ Boundaries Domain (LBD) genes arise from charophyte algae and evolve essential functions in land plants in regulating organ development and secondary metabolism. Although diverse plant species have been investigated to construct the phylogeny of LBD gene family, a detailed and reliable ancestry that characterizes their evolutionary patterns has not been revealed. We develop an improved bioinformatic method that allows robust detection of 431 LBD genes in 11 high-quality land plant genomes. Phylogenetic analysis classifies the LBD genes into six subfamilies which support the existence of 7 ancient gene lineages. Phylogenetic relationship and gene collinearity are combined to retrace 11 ancestor genes for seed plants and 18 ancestor genes for angiosperms, which improves the resolution of LBD gene ancestry. The ancient gene lineages are strictly preserved in current plant genomes, including the previously controversial class IB gene in Selaginella moellendorphii, suggesting extreme reluctance of LBD genes to be lost during evolution. Meanwhile, whole-genome and dispersed gene duplications substantially expand LBD gene family in angiosperms, and elaborate functions of LBD genes through frequent expression pattern change and protein sequence variation. Through phylogenetic and gene collinearity analyses, we retrace the landscape of LBD gene ancestry which lays foundation for elucidating evolutionary diversification of LBD genes in land plants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 6 19%
Student > Master 6 19%
Student > Bachelor 4 13%
Professor 1 3%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 53%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from BMC Genomics
#8,225
of 10,692 outputs
Outputs of similar age
#310,002
of 419,195 outputs
Outputs of similar age from BMC Genomics
#143
of 210 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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