Evidence map›Paper›PMID 37858063›Full record

ArticleBMC plant biology2023

Non-targeted metabolomics analysis of metabolite changes in two quinoa genotypes under drought stress.

Xiaolin Zhu, Mingjun Zhang, Baoqiang Wang, Xinrong Song, Xian Wang, Xiaohong Wei

Abstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaolin ZhuCollege of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China.
Mingjun ZhangGansu Provincial Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, China.
Baoqiang WangCollege of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China.
Xinrong SongCollege of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China.
Xian WangCollege of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China.
Xiaohong WeiCollege of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China. weixh@gsau.edu.cn.

Funding

National Natural Science Foundation of China 32060401
6 · The paper itself

Abstract

backgroundQuinoa is an important economic crop, drought is one of the key factors affecting quinoa yield. Clarifying the adaptation strategy of quinoa to drought is conducive to cultivating drought-tolerant varieties. At present, the study of quinoa on drought stress-related metabolism and the identification of related metabolites are still unknown. As a direct feature of biochemical functions, metabolites can reveal the biochemical pathways involved in drought response.

resultHere, we studied the physiological and metabolic responses of drought-tolerant genotype L1 and sensitive genotype HZ1. Under drought conditions, L1 had higher osmotic adjustment ability and stronger root activity than HZ1, and the relative water content of L1 was also higher than that of HZ1. In addition, the barrier-to- sea ratio of L1 is significantly higher than that of HZ1. Using untargeted metabolic analysis, a total of 523, 406, 301 and 272 differential metabolites were identified in L1 and HZ1 on day 3 and day 9 of drought stress. The key metabolites (amino acids, nucleotides, peptides, organic acids, lipids and carbohydrates) accumulated differently in quinoa leaves. and HZ1 had the most DEMs in Glycerophospholipid metabolism (ko00564) and ABC transporters (ko02010) pathways.

conclusionThese results provide a reference for characterizing the response mechanism of quinoa to drought and improving the drought tolerance of quinoa.

Indexed as

Chenopodium quinoaDroughtsGenotypeMetabolomicsWaterWaterDrought stressMetabolomePhysiological characteristicsQuinoa

Identifiers

PMID37858063
PMCPMC10588040

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.