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Improving Maize Trait through Modifying Combination of Genes

  • Duolin Wang
  • Juexin Wang
  • Yu Chen
  • Sean Yang
  • Qin Zeng
  • Jingdong LiuEmail author
  • Dong XuEmail author
Chapter
  • 28 Downloads
Part of the Emerging Topics in Statistics and Biostatistics book series (ETSB)

Abstract

In molecular breeding, trait improvement has been focused on exploring genetic variations of single genes. To explore the potential of modifying multiple genes simultaneously for trait improvement, we developed a systematic computational method aiming at detecting complex traits associated with gene interactions using a combination of gene expression and trait data across a set of maize hybrids. This method represents changes of expression patterns in a gene pair in uniform statistics and employs network topology to describe the inherent genotype-phenotype associations at the systems level. We applied and evaluated our method on several phenotypic traits measured on a set of maize hybrids across 2 years (2013 and 2014) and achieved consistent and biologically meaningful results. Our results provide a subset of candidate gene pairs that have the potential to improve several specific traits by gene expression enhancement or silence. Our work partially addresses the “missing heritability” problem in complex traits and offers an alternative way for improving crop traits via modifying a combination of multiple loci.

Keywords

Maize Complex trait Yield improvement Gene expression data analysis Network biomarker 

Notes

Acknowledgements

The authors would like to acknowledge the support of Monsanto and the National Institutes of Health (R35-GM126985). The high-performance computing infrastructure is supported by the National Science Foundation under grant number CNS-1429294.

Supplementary material

478473_1_En_9_MOESM1_ESM.zip (3.1 mb)
Data 1 (ZIP 3180 kb)

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Electric Engineering and Computer Science, and Christopher S. Bond Life Sciences CenterUniversity of MissouriColumbiaUSA
  2. 2.Bayer U.S. Crop Science, Monsanto Legal EntityChesterfieldUSA
  3. 3.Eli Lilly and Company, Lilly Corporate CenterIndianapolisUSA

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