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Analysis of small RNAs revealed differential expressions during pollen and embryo sac development in autotetraploid rice

Overview of attention for article published in BMC Genomics, February 2017
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Title
Analysis of small RNAs revealed differential expressions during pollen and embryo sac development in autotetraploid rice
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3526-8
Pubmed ID
Authors

Xiang Li, Muhammad Qasim Shahid, Juan Xia, Zijun Lu, Na Fang, Lan Wang, Jinwen Wu, Zhixiong Chen, Xiangdong Liu

Abstract

Partial pollen and embryo sac sterilities are the two main reasons for low fertility in autotetraploid rice. Our previous study revealed that small RNAs changes may associate with pollen fertility in autotetraploid rice. However, knowledge on comparative analysis between the development of pollen and embryo sac by small RNAs in autotetraploid rice is still unknown. In the present study, WE-CLSM (whole-mount eosin B-staining confocal laser scanning microscopy) and high-throughput sequencing technology was employed to examine the cytological variations and to analyze small RNAs changes during pollen and embryo sac development in autotetraploid rice compared with its diploid counterpart. A total of 321 and 368 differentially expressed miRNAs (DEM) were detected during pollen and embryo sac development in autotetraploid rice, respectively. Gene Ontology enrichment analysis on the targets of DEM associated with embryo sac and pollen development revealed 30 prominent functional gene classes, such as cell differentiation and signal transduction during embryo sac development, while only 7 prominent functional gene classes, such as flower development and transcription factor activity, were detected during pollen development in autotetraploid rice. The expression levels of 39 DEM, which revealed interaction with meiosis-related genes, showed opposite expression patterns during pollen and embryo sac development. Of these DEM, osa-miR1436_L + 3_1ss5CT and osa-miR167h-3p were associated with the female meiosis, while osa-miR159a.1 and osa-MIR159a-p5 were related with the male meiosis. 21 nt-phasiRNAs were detected during both pollen and embryo sac development, while 24 nt-phasiRNAs were found only in pollen development, which displayed down-regulation in autotetraploid compared to diploid rice and their spatial-temporal expression patterns were similar to osa-miR2275d. 24 nt TEs-siRNAs were found to be up-regulated in embryo sac but down-regulated in pollen development. The above results not only provide the small RNAs changes during four landmark stages of pollen and embryo sac development in autotetraploid rice but also have identified specifically expressed miRNAs, especially meiosis-related miRNAs, pollen-specific-24 nt-phasiRNAs and TEs-siRNAs in autotetraploid rice. Together, these findings provide a foundation for understanding the effect of polyploidy on small RNAs expression patterns during pollen and embryo sac development that may lead to different abnormalities in autotetraploid rice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Student > Ph. D. Student 6 14%
Student > Doctoral Student 5 12%
Student > Bachelor 4 9%
Professor > Associate Professor 2 5%
Other 2 5%
Unknown 16 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 51%
Biochemistry, Genetics and Molecular Biology 2 5%
Mathematics 1 2%
Unknown 18 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 November 2021.
All research outputs
#13,536,217
of 22,952,268 outputs
Outputs from BMC Genomics
#5,018
of 10,686 outputs
Outputs of similar age
#211,329
of 420,388 outputs
Outputs of similar age from BMC Genomics
#113
of 229 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 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 50% 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 420,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.