Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem

Author:

Christie Nanette12,Myburg Alexander A.1,Joubert Fourie2,Murray Shane L.34,Carstens Maryke5,Lin Yao-Cheng67,Meyer Jacqueline35,Crampton Bridget G.5,Christensen Shawn A.8,Ntuli Jean F.4,Wighard Sara S.4,Van de Peer Yves679,Berger Dave K.5

Affiliation:

1. Department of Genetics; Forestry and Agricultural Biotechnology Institute (FABI); Genomics Research Institute (GRI); University of Pretoria; Private Bag X20 Pretoria 0028 South Africa

2. Centre for Bioinformatics and Computational Biology; Genomics Research Institute; Department of Biochemistry; University of Pretoria; Private Bag X20 Pretoria 0028 South Africa

3. Centre for Proteomic and Genomic Research; 0A Anzio Rd Observatory Cape Town 7925 South Africa

4. Department of Molecular and Cell Biology; University of Cape Town; Private Bag Rondebosch 7701 South Africa

5. Department of Plant and Soil Sciences; Forestry and Agricultural Biotechnology Institute (FABI); Genomics Research Institute (GRI); University of Pretoria; Private Bag X20 Pretoria 0028 South Africa

6. Department of Plant Systems Biology; VIB; Ghent University; Technologiepark 927 9052 Ghent Belgium

7. Department of Plant Biotechnology and Bioinformatics; Ghent University; Technologiepark 927 9052 Ghent Belgium

8. Center for Medical, Agricultural, and Veterinary Entomology; United States Department of Agriculture; Agricultural Research Service; Chemistry Research Unit; Gainesville FL 32608 USA

9. Department of Genetics; Genomics Research Institute; University of Pretoria; Private Bag X20 Pretoria 0028 South Africa

Funder

Technology Innovation Agency (TIA)

National Research Foundation

University of Pretoria

Publisher

Wiley

Subject

Cell Biology,Plant Science,Genetics

Reference88 articles.

1. HTSeq - A Python framework to work with high-throughput sequencing data;Anders;Bioinformatics,2015

2. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. Series B Stat. Methodol.,1995

3. Resistance to gray leaf spot of maize: genetic architecture and mechanisms elucidated through nested association mapping and near-isogenic line analysis;Benson;PLoS Genet.,2015

4. Mapping QTL conferring resistance in maize to gray leaf spot disease caused by Cercospora zeina;Berger;BMC Genet.,2014

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