Pulse-Chase Experiments with [35S]Methionine Show D1 Reaction II Protein Turnover in Variously Herbicide Tolerant Species

Pace, Emanuela; Pompili, L.; Margonelli, Andrea; Giardi, P.; Giardi, Maria Teresa

doi:10.1006/pest.2000.2517

Cited by 7 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To improve the stability of the biomediator, we exploited the capacity of the photosynthetic organisms to adapt at a high temperature. These organisms were grown at relatively high temperatures (33-35 °C) or underwent a moderate thermal stress (33-40 °C) for 48 h (12,16). Moderate heating induces heat stress and chaperone proteins which stabilize the biomediator (12).…”

Section: Resultsmentioning

confidence: 99%

“…Various immobilization procedures lead to biomediators with differential activity (Table 2). It is known that the mutation of a single amino acid on the D1 protein of PSII is able to induce resistance to a herbicide; for example, the replacement of a serine with a glycine induces resistance to atrazine but not to other herbicides (16); the biomediator is resistant to the class of triazinic compounds and therefore selective for those classes of herbicides other than triazine (phenolic, ureidic, and diazinic herbicides).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Herbicide Subclasses by an Optical Multibiosensor Based on an Array of Photosystem II Mutants

Giardi

Guzzella

Euzet

et al. 2005

Environ. Sci. Technol.

View full text Add to dashboard Cite

Massive use of herbicides in agriculture over the last few decades has become a serious environmental problem. The residual concentration of these compounds frequently exceeds the maximum admissible concentration in drinking water for human consumption and is a real environmental risk for the aquatic ecosystem. Herbicides inhibiting photosynthesis via targeting photosystem II function still represent the basic means of weed control. A multibiosensor was constructed for detecting herbicides using as biosensing elements photosynthetic preparations coupled to an optical fluorescence transduction system (Giardi et al. EU patent EP1134585, 01830148.1-2204); this paper is about its application in the detection of herbicide subclasses in river water. Photosynthetic material was immobilized on a silicio septum inside a series of flow cells, close to diodes so as to activate photosystem II (PSII) fluorescence. The principle of the detection was based on the factthat herbicides selectively modify PSII fluorescence activity. The multibiosensor has the original feature of being able to distinguish the subclasses of the photosynthetic herbicides by using specific immobilized biomediators isolated from mutated organisms. This setup resulted in a reusable, portable multibiosensor for the detection of herbicide subclasses with a half-life of 54 h for spinach thylakoids and limit of detection of 3 x 10(-9) M for herbicides present in river water.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Detection of Herbicide Subclasses by an Optical Multibiosensor Based on an Array of Photosystem II Mutants

Giardi

Guzzella

Euzet

et al. 2005

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Measures of changes to the chlorophyll fluorescence induction curve (Kautsky curve) have been used in photosynthesis research, and it can be used for the study of the effect of PSII-inhibiting herbicides as well as herbicides with other modes of action (Christensen et al 2003;Percival and Baker 1991). This method is noninvasive, highly sensitive, and fast and easy to measure, and it contains important information about the photosynthetic apparatus (Barbagallo et al 2003;Frankart et al 2003;Haefs et al 2002;Hulsen et al 2002;Klem et al 2002;Matouskova et al 1999;Pace et al 2001;Strasser et al 2000;Teicher et al 2002).…”

mentioning

confidence: 99%

Clodinafop changes the chlorophyll fluorescence induction curve

Abbaspoor¹,

Streibig²

2005

Weed Science

View full text Add to dashboard Cite

Clodionafop, an acetyl-coenzyme A carboxylase (ACCase) inhibitor, changed the shape of the chlorophyll fluorescence induction curve (Kautsky curve) in barley and oat in greenhouse experiments. Biomass ED50, based on log-logistic dose–response curves, for barley was considerably higher than that for oat in all experiments. Biomass ED50 and relative potency (ED50 [barley]/ED50 [oat]) were consistent among experiments when sprayed at the same phenological stage of plant development. Especially at high doses, clodinafop changed the shape of the Kautsky curve more for oat than for barley. From the numerous parameters that can be derived from the OJIP steps of the Kautsky curve, we found that (1) F vj, the relative changes at the J step [F vj = (F m − F j)/F m], (2) area between Kautsky curve and maximum fluorescence (F m), and (3) F v/F m, maximum quantum efficiency of Photosystem II [F v/F m = (F m − F 0)/F m], were closely linked to the biomass dose–response relationships for both species. The linkage between biomass and the fluorescence parameters may be used to shorten the screening period for ACCase inhibitors.

show abstract

“…Incorporation of 15 N in HeLa cell proteins in conjunction with 2‐DE protein fractionation has been used to monitor protein de novo synthesis and turnover using a pulse chase labeling strategy by starting 15 N‐labeling at the beginning of treatment and measuring the relative amount of incorporated 15 N for each identified peptide at various time points 73. Such an approach appears to be easily transferable to plants grown hydroponically or plant cell cultures, in a similar way to pulse chase 35 S‐methionine labeling strategies used previously to study de novo synthesis of particular proteins in plant systems 100, 101. However, although this should be suitable for fast‐growing healthy plants, excised leaves and cell cultures in the log phase, work is still required to establish the recycling rate of nitrogen (i.e.…”

Section: Quantitative Ms Methods Applied To Functional Plant Biologymentioning

confidence: 99%

Quantitative plant proteomics

Bindschedler

Cramer

2011

Proteomics

View full text Add to dashboard Cite

Quantitation is an inherent requirement in comparative proteomics and there is no exception to this for plant proteomics. Quantitative proteomics has high demands on the experimental workflow, requiring a thorough design and often a complex multi-step structure. It has to include sufficient numbers of biological and technical replicates and methods that are able to facilitate a quantitative signal read-out. Quantitative plant proteomics in particular poses many additional challenges but because of the nature of plants it also offers some potential advantages. In general, analysis of plants has been less prominent in proteomics. Low protein concentration, difficulties in protein extraction, genome multiploidy, high Rubisco abundance in green tissue, and an absence of well-annotated and completed genome sequences are some of the main challenges in plant proteomics. However, the latter is now changing with several genomes emerging for model plants and crops such as potato, tomato, soybean, rice, maize and barley. This review discusses the current status in quantitative plant proteomics (MS-based and non-MS-based) and its challenges and potentials. Both relative and absolute quantitation methods in plant proteomics from DIGE to MS-based analysis after isotope labeling and label-free quantitation are described and illustrated by published studies. In particular, we describe plant-specific quantitative methods such as metabolic labeling methods that can take full advantage of plant metabolism and culture practices, and discuss other potential advantages and challenges that may arise from the unique properties of plants.

show abstract

Pulse-Chase Experiments with [35S]Methionine Show D1 Reaction II Protein Turnover in Variously Herbicide Tolerant Species

Cited by 7 publications

References 15 publications

Detection of Herbicide Subclasses by an Optical Multibiosensor Based on an Array of Photosystem II Mutants

Detection of Herbicide Subclasses by an Optical Multibiosensor Based on an Array of Photosystem II Mutants

Clodinafop changes the chlorophyll fluorescence induction curve

Quantitative plant proteomics

Contact Info

Product

Resources

About