Analysis of Arcella vulgaris expression profile along your growth curve in laboratory

• Grant number: 16/14402-1
• Support type: Scholarships in Brazil - Master
• Effective date (Start): June 01, 2017
• Effective date (End): May 01, 2018
• Field of knowledge: Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
• Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal researcher: Daniel José Galafasse Lahr
• Grantee: Giulia Magri Ribeiro
• Home Institution: Instituto de Biociências (IB). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 17/16077-3 - Energetic metabolism analysis along culture growth of ARCELLA intermedia, BE.EP.MS

Abstract

The organisms are constantly exposed to a wide range of environmental conditions. The ability to sense and adapt to these changes is essential for organisms to keep their cellular functions (homeostasis). The fitness of an evolutionary unit can be understood in terms of reproduction and viability (survival). The current theory presupposes the existence of a tradeoff between these components. What can drive the evolution of various traits linked to the life history in existing bodies, creating a kind of variability of cell types. This variability and possible tradeoffs can make the group fitness increased in relation to individual cell fitness, promoting the transition from unicellular to a multicellular organism. In this project we investigate differences in gene expression in Arcella from analysis of transcriptomes of organisms in each phase of the growth curve. We will do this to understand whether these differences have some implication in an increase in complexity of culture. We will use quantitative PCR to the counts of the number of individuals in culture, with a Arcella marker SSUrDNA gene. We will use a adaptation of the protocol described in Picelli 2014 for mRNA sequencing of a single cell. In each of the growth stages, we will collect three individuals separately and use them to the mRNA sequencing reactions. We want to build a gene expression profile of each individual, identifying which gene it is, and quantifying the abundance of a particular transcript. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

RIBEIRO, GIULIA M.; PORFIRIO-SOUSA, ALFREDO L.; MAURER-ALCALA, XYRUS X.; KATZ, LAURA A.; LAHR, DANIEL J. G. De novo Sequencing, Assembly, and Annotation of the Transcriptome for the Free-Living Testate Amoeba Arcella intermedia. Journal of Eukaryotic Microbiology, v. 67, n. 3 FEB 2020. Web of Science Citations: 0.