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Judith Burstin
INRA UMR1347 Agroecology, 17 rue de Sully, 21000 Dijon, France
Dr Judith BURSTIN is Director of research at INRA UMR1347 Agroecology Dijon-France.
The major goals of her program are to gain a better understanding of the effects of pea
genes that are relevant to agriculture and to develop the tools required for more efficient pea
improvement. Her research focuses on deciphering the control of seed yield and quality in
the context of climate change. Her program integrates a broad range of research projects
that include whole genome studies, mapping, positional cloning, and marker-assisted selection. Dr. Burstin has published >42 peer reviewed papers and 6 book chapters. Recent accomplishments of Dr. Burstin’s research are the development of genomic resources for pea,
such as the pea GeneAtlas and a high density and resolution 15k consensus genetic map.
These tools will serve for cloning the genes that control several important traits in pea and
for the establishment of the pea genome sequence. Dr. Burstin has led large consortiums
of public-private collaborative programs for the last 15 years.
Recent publications:
Dominique Brunel, Pascal Marget, Marie-Christine Le Paslier, Grégoire Aubert, Judith
Burstin (2015) The GenoPea 13.2K SNP Array enables a high density and resolution consensus genetic map. The Plant Journal: accepted manuscript.
Nadim Tayeh, Anthony Klein, Marie-Christine Le Paslier, Françoise Jacquin, Hervé Houtin,
Céline Rond, Marianne Chabert-Martinello, Jean-Bernard Magnin-Robert, Pascal Marget,
Grégoire Aubert, Judith Burstin (2015) Genomic Prediction in Pea: Effect of Marker Density
and Training Population Size and Composition on Prediction Accuracy. Frontiers in Plant
Sciences: accepted manuscript.
Susete Alves-Carvalho, Grégoire Aubert, Sébastien Carrère, Corinne Cruaud, Anne-Lise
Brochot, Françoise Jacquin, Anthony Klein, Chantal Martin, Karen Boucherot, Jonathan
Kreplak, Corinne da Silva, Sandra Moreau, Pascal Gamas, Patrick Wincker, Jérôme Gouzy
and Judith Burstin (2015) Full-length de novo assembly of RNA-seq data in pea (Pisum
sativum L.) provides a gene expression atlas and gives insights into root nodulation in this
species. The Plant Journal 84: