Evidence map›Paper›PMID 28981563›Full record

ArticleGenetics and molecular biology

Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis.

Hongyi Nie, Xiaoyan Liu, Jiao Pan, Wenfeng Li, Zhiguo Li, Shaowu Zhang, Shenglu Chen, Xiaoqing Miao, Nenggan Zheng, Songkun Su

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Hongyi NieCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Xiaoyan LiuCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Jiao PanCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Wenfeng LiCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Zhiguo LiCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Shaowu ZhangCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Shenglu ChenCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Xiaoqing MiaoCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Nenggan ZhengCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Songkun SuCollege of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Fujian Agriculture and Forestry University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is the largest royal jelly producer and exporter in the world, and high royal jelly-yielding strains have been bred in the country for approximately three decades. However, information on the molecular mechanism underlying high royal jelly production is scarce. Here, a cDNA microarray was used to screen and identify differentially expressed genes (DEGs) to obtain an overview on the changes in gene expression levels between high and low royal jelly producing bees. We developed a honey bee gene chip that covered 11,689 genes, and this chip was hybridised with cDNA generated from RNA isolated from heads of nursing bees. A total of 369 DEGs were identified between high and low royal jelly producing bees. Amongst these DEGs, 201 (54.47%) genes were up-regulated, whereas 168 (45.53%) were down-regulated in high royal jelly-yielding bees. Gene ontology (GO) analyses showed that they are mainly involved in four key biological processes, and pathway analyses revealed that they belong to a total of 46 biological pathways. These results provide a genetic basis for further studies on the molecular mechanisms involved in high royal jelly production.

Identifiers

PMID28981563
PMCPMC5738612
OpenAlexW2756616003

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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.