Literature DB >> 22301892

Next-generation sequencing-based transcriptomic and proteomic analysis of the common reed, Phragmites australis (Poaceae), reveals genes involved in invasiveness and rhizome specificity.

Ruifeng He1, Min-Jeong Kim, William Nelson, Tiago S Balbuena, Ryan Kim, Robin Kramer, John A Crow, Greg D May, Jay J Thelen, Carol A Soderlund, David R Gang.   

Abstract

PREMISE OF THE STUDY: The common reed (Phragmites australis), one of the most widely distributed of all angiosperms, uses its rhizomes (underground stems) to invade new territory, making it one of the most successful weedy species worldwide. Characterization of the rhizome transcriptome and proteome is needed to identify candidate genes and proteins involved in rhizome growth, development, metabolism, and invasiveness.
METHODS: We employed next-generation sequencing technologies including 454 and Illumina platforms to characterize the reed rhizome transcriptome and used quantitative proteomics techniques to identify the rhizome proteome. KEY
RESULTS: Combining 336514 Roche 454 Titanium reads and 103350802 Illumina paired-end reads in a de novo hybrid assembly yielded 124450 unique transcripts with an average length of 549 bp, of which 54317 were annotated. Rhizome-specific and differentially expressed transcripts were identified between rhizome apical tips (apical meristematic region) and rhizome elongation zones. A total of 1280 nonredundant proteins were identified and quantified using GeLC-MS/MS based label-free proteomics, where 174 and 77 proteins were preferentially expressed in the rhizome elongation zone and apical tip tissues, respectively. Genes involved in allelopathy and in controlling development and potentially invasiveness were identified.
CONCLUSIONS: In addition to being a valuable sequence and protein data resource for studying plant rhizome species, our results provide useful insights into identifying specific genes and proteins with potential roles in rhizome differentiation, development, and function.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22301892     DOI: 10.3732/ajb.1100429

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  22 in total

Review 1.  Plant science's next top models.

Authors:  Igor Cesarino; Raffaele Dello Ioio; Gwendolyn K Kirschner; Michael S Ogden; Kelsey L Picard; Madlen I Rast-Somssich; Marc Somssich
Journal:  Ann Bot       Date:  2020-06-19       Impact factor: 4.357

2.  The regulation of photosynthetic structure and function during nitrogen deprivation in Chlamydomonas reinhardtii.

Authors:  Matthew T Juergens; Rahul R Deshpande; Ben F Lucker; Jeong-Jin Park; Hongxia Wang; Mahmoud Gargouri; F Omar Holguin; Bradley Disbrow; Tanner Schaub; Jeremy N Skepper; David M Kramer; David R Gang; Leslie M Hicks; Yair Shachar-Hill
Journal:  Plant Physiol       Date:  2014-12-08       Impact factor: 8.340

3.  Large-scale proteome comparative analysis of developing rhizomes of the ancient vascular plant equisetum hyemale.

Authors:  Tiago Santana Balbuena; Ruifeng He; Fernanda Salvato; David R Gang; Jay J Thelen
Journal:  Front Plant Sci       Date:  2012-06-26       Impact factor: 5.753

4.  Male-specific region of the bovine Y chromosome is gene rich with a high transcriptomic activity in testis development.

Authors:  Ti-Cheng Chang; Yang Yang; Ernest F Retzel; Wan-Sheng Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-10       Impact factor: 11.205

5.  Asian Citrus Psyllid Expression Profiles Suggest Candidatus Liberibacter Asiaticus-Mediated Alteration of Adult Nutrition and Metabolism, and of Nymphal Development and Immunity.

Authors:  Meenal Vyas; Tonja W Fisher; Ruifeng He; William Nelson; Guohua Yin; Joseph M Cicero; Mark Willer; Ryan Kim; Robin Kramer; Greg A May; John A Crow; Carol A Soderlund; David R Gang; Judith K Brown
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

6.  "The usual suspects"- analysis of transcriptome sequences reveals deviating B gene activity in C. vulgaris bud bloomers.

Authors:  Anne Behrend; Thomas Borchert; Annette Hohe
Journal:  BMC Plant Biol       Date:  2015-01-21       Impact factor: 4.215

7.  Transcriptome and proteome data reveal candidate genes for pollinator attraction in sexually deceptive orchids.

Authors:  Khalid E M Sedeek; Weihong Qi; Monica A Schauer; Alok K Gupta; Lucy Poveda; Shuqing Xu; Zhong-Jian Liu; Ueli Grossniklaus; Florian P Schiestl; Philipp M Schlüter
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

8.  TCW: transcriptome computational workbench.

Authors:  Carol Soderlund; William Nelson; Mark Willer; David R Gang
Journal:  PLoS One       Date:  2013-07-17       Impact factor: 3.240

9.  Transcriptome analysis in sheepgrass (Leymus chinensis): a dominant perennial grass of the Eurasian Steppe.

Authors:  Shuangyan Chen; Xin Huang; Xueqing Yan; Ye Liang; Yuezhu Wang; Xiaofeng Li; Xianjun Peng; Xingyong Ma; Lexin Zhang; Yueyue Cai; Tian Ma; Liqin Cheng; Dongmei Qi; Huajun Zheng; Xiaohan Yang; Xiaoxia Li; Gongshe Liu
Journal:  PLoS One       Date:  2013-07-04       Impact factor: 3.240

10.  A systems-wide comparison of red rice (Oryza longistaminata) tissues identifies rhizome specific genes and proteins that are targets for cultivated rice improvement.

Authors:  Ruifeng He; Fernanda Salvato; Jeong-Jin Park; Min-Jeong Kim; William Nelson; Tiago S Balbuena; Mark Willer; John A Crow; Greg D May; Carol A Soderlund; Jay J Thelen; David R Gang
Journal:  BMC Plant Biol       Date:  2014-02-12       Impact factor: 4.215

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.