Comprehensive meta-analysis, co-expression, and miRNA nested network analysis identifies gene candidates in citrus against Huanglongbing disease-Reference-Cited by-同舟云学术

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Comprehensive meta-analysis, co-expression, and miRNA nested network analysis identifies gene candidates in citrus against Huanglongbing disease

Published:2015-07-28 Issue:1 Volume:15 Page:
ISSN:1471-2229
Container-title:BMC Plant Biology
language:en
Short-container-title:BMC Plant Biol

Author:

Rawat Nidhi,Kiran Sandhya P.,Du Dongliang,Gmitter Fred G.,Deng Zhanao

Funder

Citrus Research and Development Foundation

Publisher

Springer Science and Business Media LLC

Subject

Plant Science

Link

http://link.springer.com/article/10.1186/s12870-015-0568-4/fulltext.html

Reference71 articles.

1. Albrecht U, Bowman KD. Gene expression in Citrus sinensis (L.) Osbeck following infection with the bacterial pathogen ‘Candidatus Liberibacter asiaticus’ causing Huanglongbing in Florida. Plant Sci. 2008;175(3):291–306.

2. Albrecht U, Bowman KD. Transcriptional response of susceptible and tolerant citrus to infection with ‘Candidatus Liberibacter asiaticus’. Plant Sci. 2012;185–186:118–30.

3. Aritua V, Achor D, Gmitter FG, Albrigo G, Wang N. Transcriptional and microscopic analyses of citrus stem and root responses to ‘Candidatus Liberibacter asiaticus’ infection. PloS One. 2013;8(9):e73742.

4. Bhargava A, Clabaugh I, To JP, Maxwell BB, Chiang YH, Schaller GE, et al. Identification of cytokinin-responsive genes using microarray meta-analysis and RNA-seq in Arabidopsis. Plant Physiol. 2013;162(1):272–94.

5. Bové JM. Huanglongbing: a destructive, newly-emerging, century-old disease of citrus. J Plant Pathol. 2006;88:7–37.

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