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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of candidate genes involved in wax deposition in Poa pratensis by RNA-seq
|
|---|---|
| Published in |
BMC Genomics, April 2016
|
| DOI | 10.1186/s12864-016-2641-2 |
| Pubmed ID | |
| Authors |
Yu Ni, Na Guo, Qiuling Zhao, Yanjun Guo |
| Abstract |
The cuticular wax plays important roles in plant resistance to various biotic and abiotic stresses. Understanding the synthesis and secretion of cuticular waxes is necessary in utilizing cuticular waxes to improve crop productivity and plant ecological adaptation. Due to the lack of genomic resources, little genetic research on cuticular wax deposition has been focused on Poa pratensis, a perennial forage and turf grass species that is widely distributed under various habitats. In this study, we performed de novo transcriptome sequencing to explore differentially expressed genes between the leaf non-elongation zone (NEZm) and the emerged blade zone (EBZ) and to identify genes related to cuticular wax deposition. A total of 77,707,414 high quality reads were obtained from llumina HiSeq 2500 platform, which were then assembled into 106,766 unigenes. Among them, 6019 unigenes showed significant differences in expression between NEZm and EBZ. In our assembled sequences, 3087 SSRs molecular markers were discovered. All the unigenes were searched against the NR, Swissprot, GO, COG, and KEGG databases using BLAST program for functional annotation. From 3156 unigenes with more expression in NEZm compared to EBZ, a number of unigenes involved in very long chain fatty acids (VLCFAs) and cuticular wax biosynthesis, transportation and regulation were identified. Several unigenes related to defense response and epidermal patterning were also found. Twelve putative genes involved in VLCFAs and cuticular wax biosynthesis were further analyzed for their expressions using qRT-PCR. The transcriptome of P. pratensis leaf was deep sequenced, de novo assembled and annotated, and the candidate genes potentially involved in VLCFAs and cuticular wax biosynthesis, secretion and regulation in P. pratensis were identified. This provides fundamental genetic resources in improving plant adaptation to abiotic and biotic stresses. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 5 | 14% |
| Unspecified | 4 | 11% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 33% |
| Biochemistry, Genetics and Molecular Biology | 9 | 25% |
| Unspecified | 4 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 25% |
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 02 May 2016.
All research outputs
#14,260,335
of 22,867,327 outputs
Outputs from BMC Genomics
#5,703
of 10,663 outputs
Outputs of similar age
#159,962
of 299,065 outputs
Outputs of similar age from BMC Genomics
#123
of 206 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,663 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 299,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.