2014
DOI: 10.1093/bioinformatics/btu628
|View full text |Cite
|
Sign up to set email alerts
|

PhaseTank: genome-wide computational identification of phasiRNAs and their regulatory cascades

Abstract: Supplementary data are available at Bioinformatics online.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
53
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 68 publications
(53 citation statements)
references
References 20 publications
0
53
0
Order By: Relevance
“…showed that overexpressed miR482e in potato increased plant sensitivity to Verticillium dahliae infection through NBS-LRR targeting and secondary phasiRNA generation 19 . In a previous study, 90 PHAS loci were predicted using the PhaseTank pipeline on the tomato genome; however, no further analysis for these candidates was presented, such as locus information, chromosome distribution, or experimental evidence 20 . To identify Botrytis cinerea- responsive phasiRNAs in tomato in this study, we used the PhaseTank pipeline for identification of PHAS loci, with two more sRNA datasets (from mock- and B. cinerea -infected tomato leaves) compared to our previous study 20 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…showed that overexpressed miR482e in potato increased plant sensitivity to Verticillium dahliae infection through NBS-LRR targeting and secondary phasiRNA generation 19 . In a previous study, 90 PHAS loci were predicted using the PhaseTank pipeline on the tomato genome; however, no further analysis for these candidates was presented, such as locus information, chromosome distribution, or experimental evidence 20 . To identify Botrytis cinerea- responsive phasiRNAs in tomato in this study, we used the PhaseTank pipeline for identification of PHAS loci, with two more sRNA datasets (from mock- and B. cinerea -infected tomato leaves) compared to our previous study 20 .…”
Section: Introductionmentioning
confidence: 99%
“…In a previous study, 90 PHAS loci were predicted using the PhaseTank pipeline on the tomato genome; however, no further analysis for these candidates was presented, such as locus information, chromosome distribution, or experimental evidence 20 . To identify Botrytis cinerea- responsive phasiRNAs in tomato in this study, we used the PhaseTank pipeline for identification of PHAS loci, with two more sRNA datasets (from mock- and B. cinerea -infected tomato leaves) compared to our previous study 20 . The candidate genes were also characterized and annotated in terms of overlap with annotated genes, chromosome distribution, and tissue expression.…”
Section: Introductionmentioning
confidence: 99%
“… and Guo et al . found 19 PHAS genes and 10 miRNA‐PHAS‐SIR‐transcript regulatory cascades in tomato, respectively.…”
mentioning
confidence: 99%
“…Zheng et al (2014) performed a genome-wide discovery of PHAS loci in Chinese sacred lotus and identified a total of 106 PHAS loci [16]. Shivaprasad et al [17] and Guo et al [18] found 19 PHAS genes and 10 miRNA-PHAS-SIR-transcript regulatory cascades in tomato, respectively.…”
mentioning
confidence: 99%
“…We searched for 24 nt PHAS loci in the A. thaliana genome using small RNA‐seq data. Currently, several distinct algorithms are available to calculate the “phasing” of a sRNA‐producing locus (Dotto et al., ; Guo, Qu, & Jin, ; Zheng, Wang, & Sunkar, ). In general, these algorithms calculate the number of reads that are “in‐phase” against those that are “out‐of‐phase” in order to determine the likelihood that a particular locus truly produces phasiRNAs (Axtell, ).…”
Section: Introductionmentioning
confidence: 99%