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here - First Legume Society Conference (LSC1)

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Book of Abstracts <strong>First</strong> <strong>Legume</strong> <strong>Society</strong> <strong>Conference</strong> 2013: A <strong>Legume</strong> Odyssey Novi Sad, Serbia, 9-11 May 2013<br />

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An optimized RNA Extraction Protocol for leaves, pods and seeds from Phaseolus<br />

vulgaris<br />

JR Parreira 1 , P Fevereiro 2,3 , SS Araújo 1<br />

1 Centro BIOTROP - Veterinária e Zootecnia, Instituto de Investigação Científica e Tropical, Lisboa, Portugal<br />

2 Department of Plant Biology, Faculty of Science, University of Lisbon, Lisboa, Portugal<br />

3 Plant Cell BiotechnologyLab, Instituto de Tecnologia Química e Biológica, Universida de Nova de Lisboa,<br />

Portugal<br />

Phaseolus vulgaris is a major staple food crop and the most important legume in human diet, being<br />

a source of protein, fiber, complex carbohydrates, vitamins and minerals. Grain filling (GF) is the<br />

seed maturation phase that plays a major role in the seed storage reserve composition.<br />

Understanding GF and how it can be affected by water deficit (WD) is a topic of great<br />

agronomical and economical relevance, especially for the improvement of selecting and breeding<br />

of common bean lines with improved tolerance to this abiotic stress. We aim to use a<br />

transcriptomic approach to obtain a global insight into what genes are being expressed in seeds<br />

that have a major role in GF under WD and what metabolic pathways are activated or repressed<br />

in this condition. Additionally, we want to explore the role that surrounding organs, such as<br />

leaves and pods might have in this biological process.Gene expression analysis requires a large<br />

quantity of high quality RNA but routine RNA extraction protocols reveal to fail when applied to<br />

pod and seed tissues collected from common bean. Here we present reliable RNA extraction<br />

protocols that allow recovering high quantity and quality RNA suitable for other downstream<br />

applications like Next Generation Sequencing or Quantitative PCR.<br />

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