Syngenta Participations Ag

Joseph Dallas Clarke

Daolong Wang

Dale Wayne Skalla

Venkata Krishna Kishore

Vance Cary Kramer

Thomas Joseph Prest

David Jay Foster

Todd Lee Warner

Robert Lynn Miller

Sonali Dilip Gandhi

Molly Dunn

Nicolas Federico Martin

Chris Zinselmeier

William Briggs

Gayle Dace

Libardo Andres Gutierrez Rojas

Paul Altendorf

Jon Aaron Tucker Reinders

Allen Sessions

Meijuan Li

Christine Chaulk-Grace

John Arbuckle

Kari Denise Kust

Joseph Richard Byrum

Michael L Nuccio

Ju-Kyung Yu

Zhigang Guo

Mikyong Lee

Jianwei Lu

Min Li

Libardo Andres Gutierrez-Rojas

Joseph Byrum

Martin Nicolas

Sonali Gandhi

The presently disclosed subject matter relates to methods and compositions for identifying, selecting, and/or producing drought tolerant maize plants or germplasm. Maize plants or germplasm that have been identified, selected, and/or produced by any of the methods of the presently disclosed subject matter are also provided.

Genetic markers associated with drought tolerance in maize

Methods of identifying a single nucleotide polymorphism associated with a plant trait and methods of identifying a plant having an improved trait. The plant trait is correlated with at least one single nucleotide polymorphism in a microRNA region of a plant genome. Isolated nucleic acids, transgenic plants, and methods of producing the same are also disclosed.

MicroRNA polymorphisms conferring enhanced drought tolerance in a plant

The invention relates to a regulatory sequence which mediates expression of an operably-linked protein encoding a polynucleotide of interest, wherein the protein encoding polynucleotide is transcribed in leaf tissue and not in pollen. The invention also relates to an expression cassette, vector, and transgenic plant comprising the regulatory sequence.

Plant regulatory sequences

Provided herein are methods for evaluating associations between candidate genes and a trait of interest in a population. The methods include a combination of genome-wide association analysis and one or more of nested association mapping (NAM), expression QTL analysis (eQTL), and allele epistastic analysis (AEA). Markers are selected or prioritized if they are shown to be positively-correlated with a trait of interest using GWA and a combination of one or both of NAM and eQTL. Also provided are models for evaluating the association between a candidate marker and a trait in a nested population of organisms. These methods include single marker regression and multiple marker regression models. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, as genetic markers for constructing linkage maps, for gene discovery, for identifying genes contributing to a trait of interest, and for generating transgenic organisms having a desired trait.

Method for selecting statistically validated candidate genes

Growing community of inventors

Durham, NC, United States of America

Joseph Dallas Clarke