Evidence map›Paper›PMID 36466245›Full record

ArticleFrontiers in plant science2022

Characterization of the genetic and regulatory networks associated with sugar and acid metabolism in apples

Fei Shen, Chenyang Hu, Xin Huang, Ruigang Wu, Shuzhen Luo, Chengnan Xu, Hong Zhang, Xuan Wang, Jirong Zhao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Fei ShenInstitute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Chenyang HuCollege of Life Science, Shanxi Key Lab of Chinese Jujube, Yan'an University, Yan'an, Shanxi, China.
Xin HuangCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, Hebei, China.
Ruigang WuCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, Hebei, China.
Shuzhen LuoCollege of Life Science, Shanxi Key Lab of Chinese Jujube, Yan'an University, Yan'an, Shanxi, China.
Chengnan XuCollege of Life Science, Shanxi Key Lab of Chinese Jujube, Yan'an University, Yan'an, Shanxi, China.
Hong ZhangCollege of Life Science, Shanxi Key Lab of Chinese Jujube, Yan'an University, Yan'an, Shanxi, China.
Xuan WangHebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.
Jirong ZhaoCollege of Life Science, Shanxi Key Lab of Chinese Jujube, Yan'an University, Yan'an, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although sugars and acids have a substantial influence on the taste of apple fruits, the genetic and regulatory networks underlying their metabolism in fruit remain insufficiently determined. To fully decipher the genetic basis of the accumulation of sugars and acids in apple fruits, we adopted an integrated strategy that included time-course RNA-seq, QTL mapping, and whole-genome sequencing to examine two typical cultivars ('HanFu' and 'Huahong') characterized by distinctive flavors. Whole-genome sequencing revealed substantial genetic variation between the two cultivars, thereby providing an indication of the genetic basis of the distinct phenotypes. Constructed co-expression networks yielded information regarding the intra-relationships among the accumulation of different types of metabolites, and also revealed key regulatory nodes associated with the accumulation of sugars and acids, including the genes

Indexed as

acidapplegenome sequencingintegrated strategyQTLRNA-seqsugar

Identifiers

PMID36466245
PMCPMC9712955

What Socratic 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 Socratic graph.