scholarly journals Submergence of the filamentous Zygnematophyceae Mougeotia induces differential gene expression patterns associated with core metabolism and photosynthesis

PROTOPLASMA ◽  
2021 ◽  
Author(s):  
Janine M.R. Fürst-Jansen ◽  
Sophie de Vries ◽  
Maike Lorenz ◽  
Klaus von Schwartzenberg ◽  
John M. Archibald ◽  
...  

AbstractThe streptophyte algal class Zygnematophyceae is the closest algal sister lineage to land plants. In nature, Zygnematophyceae can grow in both terrestrial and freshwater habitats and how they do this is an important unanswered question. Here, we studied what happens to the zygnematophyceaen alga Mougeotia sp., which usually occurs in permanent and temporary freshwater bodies, when it is shifted to liquid growth conditions after growth on a solid substrate. Using global differential gene expression profiling, we identified changes in the core metabolism of the organism interlinked with photosynthesis; the latter went hand in hand with measurable impact on the photophysiology as assessed via pulse amplitude modulation (PAM) fluorometry. Our data reveal a pronounced change in the overall physiology of the alga after submergence and pinpoint candidate genes that play a role. These results provide insight into the importance of photophysiological readjustment when filamentous Zygnematophyceae transition between terrestrial and aquatic habitats.

2019 ◽  
Vol 20 (23) ◽  
pp. 6098 ◽  
Author(s):  
Amarinder Singh Thind ◽  
Kumar Parijat Tripathi ◽  
Mario Rosario Guarracino

The comparison of high throughput gene expression datasets obtained from different experimental conditions is a challenging task. It provides an opportunity to explore the cellular response to various biological events such as disease, environmental conditions, and drugs. There is a need for tools that allow the integration and analysis of such data. We developed the “RankerGUI pipeline”, a user-friendly web application for the biological community. It allows users to use various rank based statistical approaches for the comparison of full differential gene expression profiles between the same or different biological states obtained from different sources. The pipeline modules are an integration of various open-source packages, a few of which are modified for extended functionality. The main modules include rank rank hypergeometric overlap, enriched rank rank hypergeometric overlap and distance calculations. Additionally, preprocessing steps such as merging differential expression profiles of multiple independent studies can be added before running the main modules. Output plots show the strength, pattern, and trends among complete differential expression profiles. In this paper, we describe the various modules and functionalities of the developed pipeline. We also present a case study that demonstrates how the pipeline can be used for the comparison of differential expression profiles obtained from multiple platforms’ data of the Gene Expression Omnibus. Using these comparisons, we investigate gene expression patterns in kidney and lung cancers.


2002 ◽  
Vol 278 (9) ◽  
pp. 7540-7552 ◽  
Author(s):  
Swapnil R. Chhabra ◽  
Keith R. Shockley ◽  
Shannon B. Conners ◽  
Kevin L. Scott ◽  
Russell D. Wolfinger ◽  
...  

2016 ◽  
Vol 21 (2) ◽  
pp. 81-88 ◽  
Author(s):  
Karla Padilla ◽  
David Gonzalez-Mendoza ◽  
Laura C. Berumen ◽  
Jesica E. Escobar ◽  
Ricardo Miledi ◽  
...  

2009 ◽  
Vol 5 (7) ◽  
pp. e1000506 ◽  
Author(s):  
Marie L. Hertle ◽  
Claudia Popp ◽  
Sabine Petermann ◽  
Sabine Maier ◽  
Elisabeth Kremmer ◽  
...  

1970 ◽  
Vol 27 (2) ◽  
pp. 131
Author(s):  
D K Ayer, K G Modha, V B Parekh, R K Patel, V Ramtekey, A P Bhuriya

Two turmeric (Curcuma longa L.) cultivars differing in curcumin content viz GNT-2 (4.6 % curcumin) and NDH-98 (1.6% curcumin) were selected for comparative gene expression study in association with total curcumin contents. Sampling was done at six months after planting in open field condition. Differential gene expression patterns were observed between two cultivars by reverse transcription quantitative real time polymerase chain reaction (RT-qPCR), and total curcumin contents were quantified using high performance liquid chromatography (HPLC). Low curcumin yielding cultivar, NDH-98, exhibited higher expression of DCS and CURS3 whereas lower expression of CURS1 and CURS2. However, opposite pattern was observed in a high curcumin yielding cultivar, GNT-2, where DCS and CURS3 expressions were lower but CURS1 and CURS2 expressions were higher. CURS3 showed similar expression between both cultivars. CURS1 and CURS2 expression patterns showed more closer association than DCS and CURS3 gene expression patterns with each other. Differential gene expression patterns could be predictively associated with differential curcuminoids concentrations in turmeric cultivars.


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