↓ Skip to main content

Comparative Genomics Analysis of Rice and Pineapple Contributes to Understand the Chromosome Number Reduction and Genomic Changes in Grasses

Overview of attention for article published in Frontiers in Genetics, October 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative Genomics Analysis of Rice and Pineapple Contributes to Understand the Chromosome Number Reduction and Genomic Changes in Grasses
Published in
Frontiers in Genetics, October 2016
DOI 10.3389/fgene.2016.00174
Pubmed ID
Authors

Jinpeng Wang, Jiaxiang Yu, Pengchuan Sun, Yuxian Li, Ruiyan Xia, Yinzhe Liu, Xuelian Ma, Jigao Yu, Nanshan Yang, Tianyu Lei, Zhenyi Wang, Li Wang, Weina Ge, Xiaoming Song, Xiaojian Liu, Sangrong Sun, Tao Liu, Dianchuan Jin, Yuxin Pan, Xiyin Wang

Abstract

Rice is one of the most researched model plant, and has a genome structure most resembling that of the grass common ancestor after a grass common tetraploidization ∼100 million years ago. There has been a standing controversy whether there had been five or seven basic chromosomes, before the tetraploidization, which were tackled but could not be well solved for the lacking of a sequenced and assembled outgroup plant to have a conservative genome structure. Recently, the availability of pineapple genome, which has not been subjected to the grass-common tetraploidization, provides a precious opportunity to solve the above controversy and to research into genome changes of rice and other grasses. Here, we performed a comparative genomics analysis of pineapple and rice, and found solid evidence that grass-common ancestor had 2n = 2x = 14 basic chromosomes before the tetraploidization and duplicated to 2n = 4x = 28 after the event. Moreover, we proposed that enormous gene missing from duplicated regions in rice should be explained by an allotetraploid produced by prominently divergent parental lines, rather than gene losses after their divergence. This means that genome fractionation might have occurred before the formation of the allotetraploid grass ancestor.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Student > Doctoral Student 1 10%
Researcher 1 10%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Biochemistry, Genetics and Molecular Biology 2 20%
Unknown 2 20%
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 04 October 2016.
All research outputs
#18,473,108
of 22,890,496 outputs
Outputs from Frontiers in Genetics
#7,080
of 11,935 outputs
Outputs of similar age
#242,043
of 319,862 outputs
Outputs of similar age from Frontiers in Genetics
#40
of 49 outputs
Altmetric has tracked 22,890,496 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 11,935 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 319,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.