The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
UPLC‐HRMS‐based untargeted metabolic profiling reveals changes in chickpea (Cicer arietinum) metabolome following long‐term drought stress
Open accessAbstract
Genetic improvement for drought tolerance in chickpea requires a solid understanding of biochemical processes involved with different physiological mechanisms. The objective of this study is to demonstrate genetic variations in altered metabolic levels in chickpea varieties (tolerant and sensitive) grown under contrasting water regimes through ultrahigh‐performance liquid chromatography/high‐resolution mass spectrometry‐based untargeted metabolomic profiling. Chickpea plants were exposed to drought stress at the 3‐leaf stage for 25 days, and the leaves were harvested at 14 and 25 days after the imposition of drought stress. Stress produced significant reduction in chlorophyll content,Fv/Fm, relative water content, and shoot and root dry weight. Twenty known metabolites were identified as most important by 2 different methods including significant analysis of metabolites and partial least squares discriminant analysis. The most pronounced increase in accumulation due to drought stress was demonstrated for allantoin,l‐proline,l‐arginine,l‐histidine,l‐isoleucine, and tryptophan. Metabolites that showed a decreased level of accumulation under drought conditions were choline, phenylalanine, gamma‐aminobutyric acid, alanine, phenylalanine, tyrosine, glucosamine, guanine, and aspartic acid. Aminoacyl‐tRNA and plant secondary metabolite biosynthesis and amino acid metabolism or synthesis pathways were involved in producing genetic variation under drought conditions. Metabolic changes in light of drought conditions highlighted pools of metabolites that affect the metabolic and physiological adjustment in chickpea that reduced drought impacts.
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Cites
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Cited by
Shahid, M. A., Sarkhosh, A., Khan, N., Balal, R. M., Ali, S., Rossi, L., Gómez, C., Mattson, N., Nasim, W., & Garcia-Sanchez, F. (2020) · Agronomy · doi:10.3390/agronomy10070938 · Cited by 508
Self-citationSalam, U., Ullah, S., Tang, Z.-H., Elateeq, A. A., Khan, Y., Khan, J., Khan, A., & Ali, S. (2023) · Life · doi:10.3390/life13030706 · Cited by 480
Ullah, A., Bano, A., & Khan, N. (2021) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2021.618092 · Cited by 295
Self-citationReview: Metabolomics as a Prediction Tool for Plants Performance under Environmental Stress
Villate, A., San Nicolas, M., Gallastegi, M., Aulas, P.-A., Olivares, M., Usobiaga, A., Etxebarria, N., & Aizpurua-Olaizola, O. (2021) · Plant Science · doi:10.1016/j.plantsci.2020.110789 · Cited by 72
Metadata
- Authors
- Khan, N., Bano, A., Rahman, M. A., Rathinasabapathi, B., & Babar, M. A.
- Venue
- Plant, Cell & Environment
- Publisher
- Wiley
- Published
- 2018-04-15
- Volume
- 42
- Issue
- 1
- Pages
- 115-132
- ISSN
- 0140-7791 (ISSN-L)
- 1365-3040
- OpenAlex
- W2794135796
- Cited by
- 265
- References
- 100
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Khan, N., Bano, A., Rahman, M. A., Rathinasabapathi, B., & Babar, M. A. (2019). UPLC‐HRMS‐based untargeted metabolic profiling reveals changes in chickpea (Cicer arietinum) metabolome following long‐term drought stress. Plant, Cell & Environment. https://doi.org/10.1111/pce.13195
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