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De novo analysis of transcriptome reveals genes associated with leaf abscission in sugarcane (Saccharum officinarum L.)

Overview of attention for article published in BMC Genomics, March 2016
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Title
De novo analysis of transcriptome reveals genes associated with leaf abscission in sugarcane (Saccharum officinarum L.)
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2552-2
Pubmed ID
Authors

Ming Li, Zhaoxu Liang, Yuan Zeng, Yan Jing, Kaichao Wu, Jun Liang, Shanshan He, Guanyu Wang, Zhanghong Mo, Fang Tan, Song Li, Lunwang Wang

Abstract

Sugarcane (Saccharum officinarum L.) is an important sugar crop which belongs to the grass family and can be used for fuel ethanol production. The growing demands for sugar and biofuel is asking for breeding a sugarcane variety that can shed their leaves during the maturity time due to the increasing cost on sugarcane harvest. To determine leaf abscission related genes in sugarcane, we generated 524,328,950 paired reads with RNA-Seq and profiled the transcriptome of new born leaves of leaf abscission sugarcane varieties (Q1 and T) and leaf packaging sugarcane varieties (Q2 and B). Initially, 275,018 transcripts were assembled with N50 of 1,177 bp. Next, the transcriptome was annotated by mapping them to NR, UniProtKB/Swiss-Prot, Gene Ontology and KEGG pathway databases. Further, we used TransDecoder and Trinotate to obtain the likely proteins and annotate them in terms of known proteins, protein domains, signal peptides, transmembrane regions and rRNA transcripts. Different expression analysis showed 1,202 transcripts were up regulated in leaf abscission sugarcane varieties, relatively to the leaf packaging sugarcane varieties. Functional analysis told us 62, 38 and 10 upregulated transcripts were involved in plant-pathogen interaction, response to stress and abscisic acid associated pathways, respectively. The upregulation of transcripts encoding 4 disease resistance proteins (RPM1, RPP13, RGA2, and RGA4), 6 ABC transporter G family members and 16 transcription factors including WRK33 and heat stress transcription factors indicate they may be used as candidate genes for sugarcane breeding. The expression levels of transcripts were validated by qRT-PCR. In addition, we characterized 3,722 SNPs between leaf abscission and leaf packaging sugarcane plants. Our results showed leaf abscission associated genes in sugarcane during the maturity period. The output of this study provides a valuable resource for future genetic and genomic studies in sugarcane.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 5%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 12 18%
Student > Master 8 12%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 6 9%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 59%
Biochemistry, Genetics and Molecular Biology 8 12%
Medicine and Dentistry 2 3%
Chemical Engineering 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 14 21%
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 08 March 2016.
All research outputs
#13,970,643
of 22,854,458 outputs
Outputs from BMC Genomics
#5,352
of 10,660 outputs
Outputs of similar age
#151,868
of 298,823 outputs
Outputs of similar age from BMC Genomics
#124
of 213 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,660 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 298,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 213 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.