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Kaachra, A.

Publications and source records attributed to Kaachra, A..

2 recordsLinked to original sources

A convenient and simple system for in vivo 13CO2 -labelling in plant leaves: Enhancing accessibility for tracer studies in photosynthesis

Tracer experiments using 13CO2 is a valuable tool for studying the metabolic flux of carbon during photosynthesis, providing precise insights into carbon assimilation and distribution within plant systems. However, the complexity of designing and setting up a 13CO2 delivery system is a significant factor limiting the use of tracer experiments in many research laboratories. In the present work, we report a simple 13CO2 delivery system that can be used in conjunction with an Infrared gas analyser (IRGA) for short duration in vivo 13C labelling in plant leaves. Briefly, 13CO2 is released in an external airtight container upon acidification of NaH13CO3 and subsequently introduced into the leaf chamber of an IRGA. A defined concentration of 13CO2 ({+/-} 60 ppm for about 2 minutes) can be generated by using an appropriate volume and concentration of NaH13CO3 and HCl. The functionality of the 13CO2 labelling system was assessed by feeding 13CO2 to the tobacco leaf for two different time intervals (30 secs and 2 min) under controlled environment conditions. The amino acids fractions from both labelled and unlabelled control plants were analysed using liquid chromatography-mass spectrometry (LC-MS) followed by determination of changes in 13C enrichment. The results showed that after 30 seconds, only two amino acids, serine and alanine, exhibited a significant increase in 13C enrichment, with values of 8.9% and 8.3%, respectively, compared to the unlabelled control. In contrast, after 2 minutes, a significant increase in 13C enrichment was observed in serine (24.1%), glycine (13.8%), aspartate (13.5%), and alanine (25.9%) as compared to the unlabelled control. The results, therefore, confirmed the workability of the system for feeding 13CO2 to a plant leaf in a time dependent manner. In addition to its simpler configuration and better control over environmental conditions, the major advantage of this system is its portability, allowing users to conduct 13CO2 experiments on plants growing in their natural habitat while minimizing physiological and metabolic alterations.

plant biology↗

An expedited qualitative profiling of free amino acids in plant tissues using liquid chromatography-mass spectrometry (LC-MS) in conjunction with MS-DIAL

The estimation of relative levels of amino acids is crucial for understanding various biological processes in plants, including photosynthesis, stress tolerance, and the uptake and translocation of nutrients. A wide range of liquid chromatography (LC; HPLC/UHPLC) -based methods is available for measuring the quantity of amino acids in plants. Additionally, the coupling of LC with mass spectrometry (MS) significantly enhanced the robustness of existing chromatographic methods used for amino acid quantification. However, accurate annotation and integration of mass peaks can be challenging for plant biologists with limited experience in analyzing MS data, especially in studies involving large datasets with multiple treatments and/or replicates. Further, there are instances when the experiment demands an overall view of the amino acids profile rather than focusing on absolute quantification. The present protocol provides a detailed LC-MS method for obtaining a qualitative amino acids profile using MS-DIAL, a versatile and user-friendly program for processing MS data. Free amino acids were extracted from the leaves of control and Tomato leaf curl Palampur virus (ToLCPalV)-infected Nicotiana benthamiana plants. Extracted amino acids were derivatized and separated using UHPLC-QTOF, with each amino acid subsequently identified by aligning mass data with a custom text library created in MS-DIAL. Further, MS-DIAL was employed for internal standard-based normalization to obtain a qualitative profile of 15 amino acids in control and virus-infected plants. The outlined method aims to simplify the processing of MS data to quickly assess any modulation in amino acid levels in plants with a higher degree of confidence.

plant biology↗