scispace - formally typeset
Y

Yue Ma

Researcher at Technische Universität München

Publications -  11
Citations -  3537

Yue Ma is an academic researcher from Technische Universität München. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 3, co-authored 3 publications receiving 3223 citations.

Papers
More filters
Journal ArticleDOI

Regulators of PP2C Phosphatase Activity Function as Abscisic Acid Sensors

TL;DR: This study identifies interactors of ABI1 and ABI2 which are named regulatory components of ABA receptor (RCARs) in Arabidopsis and suggests that the ABA receptors may be a class of closely related complexes, which may explain previous difficulties in establishing its identity.

Supporting Online Material for Regulators of PP2C Phosphatase Activity Function as Abscisic Acid Sensors

TL;DR: In this paper, the plant hormone abscisic acid (ABA) receptor was identified as a regulatory component of the ABA receptor (RCARs) in Arabidopsis.
Journal ArticleDOI

Closely related receptor complexes differ in their ABA selectivity and sensitivity

TL;DR: This study describes a novel member of the RCAR family, RCAR3, identified in a screen for interactors of the PP2Cs ABI1 and ABI2, which are key regulators of ABA responses and proposes a model whereby differential expression of the co-receptors and combinatorial assembly of the receptor complexes act in concert to modulate and fine-tune A BA responses.
Journal ArticleDOI

MdIPT8, an isopentenyl transferase enzyme, enhances the resistance of apple to Colletotrichum gloeosporioides infection

TL;DR: In this article , the authors found that the MdIPT8 gene was significantly differentially expressed and showed that over-expression of the MdT8 protein increased the resistance of apples to Colletotrichum gloeosporioides infection.
Journal ArticleDOI

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

TL;DR: By performing intra-laboratory validation of the suitability of ERG characteristics for the quantification of GM canola events, the ddPCR methods for BnAcc and BnC1 were comprehensively demonstrated and could provide technical support for GM labeling regulations.