Use of a visible reporter marker- myb-related gene in crop plants to minimize herbicide usage against weeds.

Plant Signal Behav

a Department of Weed Research and Plant Pathology, Agricultural Research Organization , Newe Ya'ar Research Center, Ramat Yishay , Israel.

Published: March 2020

Weeds, a main threat to agricultural productivity worldwide, are mostly controlled by herbicides. To minimize herbicide usage by targeting only weedy areas, we developed a new methodology for robust weed detection that relies on manipulating the crop plant's leaf hue, without affecting crop fitness. We generated transgenic tobacco (Nicotiana tabacum Xanthi) lines overexpressing the anthocyanin pigment as a traceable marker that differentiates transgenes from the surrounding weeds at an early stage. Transformation with the anthocyanin VlmybA1-2 gene produced purple-colored leaves. Subsequent gene silencing with vector pTRV2:VlmybA1-2 significantly reduced anthocyanin pigments in tobacco leaves 40 days after agroinfiltration, with a concomitant reduction in VlmybA1-2 transcript levels. Purple hue faded gradually, and there were no fitness costs in terms of plant height or leaf number in the silenced vs. non-silenced tobacco transgenes. These results could lead to a new sustainable weed-control method that will alleviate weed-related ecological, agricultural and economic issues.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512915PMC
http://dx.doi.org/10.1080/15592324.2019.1581558DOI Listing

Publication Analysis

Top Keywords

minimize herbicide
8
herbicide usage
8
visible reporter
4
reporter marker-
4
marker- myb-related
4
myb-related gene
4
gene crop
4
crop plants
4
plants minimize
4
usage weeds
4

Similar Publications

Potato () production requires effective nutrient and weed management strategies to enhance tuber yield and quality while minimizing the environmental impact of chemical inputs. This study investigated the effects of various weed and nutrient management practices on potato tuber yield, yield components, and quality traits. The experiments were conducted over two years (2019-2020) at the University of Kurdistan's research farm in the Dehgolan Plain, using a split-plot based on randomized complete block design with four replicates.

View Article and Find Full Text PDF

Artificial neural networks to estimate the sorption and desorption of the herbicide linuron in Brazilian soils.

Environ Pollut

January 2025

Departamento de Agronomia e Ciências Florestais, Universidade Federal Rural do Semi-Árido, Mossoró, AV. Francisco Mota, 572 - Pres. Costa E Silva, RN, Mossoró, 59625-900, Rio Grande do Norte, Brazil. Electronic address:

Generally, herbicides used in Brazil follow manufacturer's recommendations, which often do not consider soil attributes. Statistical models that include the physicochemical properties of the soil involved in herbicide retention processes could enable greater precision in herbicide dose decision-making. This study evaluated the potential of artificial neural networks (ANNs) to predict the sorption and desorption of the herbicide linuron in Brazilian soils with different attributes.

View Article and Find Full Text PDF

In order to meet global food requirement, innovation in agricultural techniques and pesticide delivery system will be required for sustainable food supply with minimal harmful impact on environment. This article discusses the synthesis of hydrogels for use in controlled release formulations (CRFs) to increase agricultural output while reducing ecotoxicity and health risks. These hydrogels were designed by graft-copolymerization reaction of polyacrylamide and polyvinyl sulfonic acid onto agar-alginate marine polysaccharides.

View Article and Find Full Text PDF

Intramolecular distance-regulated G4 DNA enzymatic activity-based chromophotometric system for visual monitoring of diquat.

Anal Chim Acta

January 2025

Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, 400715, PR China. Electronic address:

Background: As global food production continues to surge, the widespread use of herbicides has also increased concurrently, posing challenges like health risks and environmental pollution. Traditional detection methods for pesticide residues, such as diquat (DQ), were hampered by limitations like high expenses, lengthy detection times and complex operations, restricting their practical application in rapid clinical diagnosis.

Results: In light of the pressing necessity for the identification of minute pesticide residues and the intrinsic constraints of small molecule analysis, a novel chromophotometric biosensor targeting small molecules was developed based on bi-epitopes on single antibody to immobilize two DQ-PAL, inhibiting the hybridization of DQ-PAL.

View Article and Find Full Text PDF

The detection of 4-chloro-2-methylphenoxyacetic acid (CMPA) herbicide is crucial due to the potential health risks linked to exposure through drinking water, air, and food, which may adversely affect liver and kidney functions. To address this environmental concern and promote sustainable agriculture, a sensitive carbon paste sensor incorporating a composite material was developed. The composite sensor is based on porous cobalt-1,4-benzenedicarboxylate metal-organic framework and exfoliated montmorillonite nanolayers (Co-OF/MMt).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!