Application of data fusion modeling for the prediction of auxin response elements in Zea mays for food security purposes.

ABSTRACT: Food security will be affected by climate change worldwide, particularly in the developingworld, where the most important food products originate from plants. Plants are often exposed to environmental stresses that may affect their growth, development, yield, and foodquality. Auxin is a hormone that plays a critical role in improving plants' tolerance of environmental conditions. Auxin controls the expression of many stress-responsive genes inplants by interacting with specific cis-regulatory elements called auxin-responsive elements (AuxREs). In this work, we performed an in silico prediction of AuxREs in promotersof five auxin-responsive genes in Zea mays. We applied a data fusion approach based onthe combined use of Dempster-Shafer evidence theory and fuzzy sets. Auxin has a directimpac

SUBMITTER: Sghaier N 

PROVIDER: S-EPMC9847374 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature