Evidence map›Paper›PMID 33809004›Full record

ArticleMetabolites2021

Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits.

Jinwei Qi, Kang Li, Yunxia Shi, Yufei Li, Long Dong, Ling Liu, Mingyang Li, Hui Ren, Xianqing Liu, Chuanying Fang and 1 more

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Frontiers in plant science · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Insulin-Mimic Components inPharmaceuticals (Basel, Switzerland) · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jinwei QiSchool of Horticulture, Hainan University, Haikou 570288, China.
Kang LiSchool of Tropical Crops, Hainan University, Haikou 570288, China.
Yunxia ShiSchool of Tropical Crops, Hainan University, Haikou 570288, China.
Yufei LiNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China.
Long DongHorticultural Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Ling LiuSchool of Tropical Crops, Hainan University, Haikou 570288, China.
Mingyang LiSchool of Tropical Crops, Hainan University, Haikou 570288, China.
Hui RenHorticultural Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Xianqing LiuSchool of Tropical Crops, Hainan University, Haikou 570288, China.
Chuanying FangSchool of Tropical Crops, Hainan University, Haikou 570288, China.ORCID 0000-0003-3588-8743
Jie LuoSchool of Tropical Crops, Hainan University, Haikou 570288, China.

Funding

Natural Science Foundation of Hainan Province 2019RC061Young Elite Scientists Sponsorship Program 2019QNRC001
6 · The paper itself

Abstract

Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite's content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits.

Indexed as

fruitmetabolomenon-targeted metabolomic analysesnutrient

Identifiers

PMID33809004
PMCPMC8000971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.