Evidence map›Paper›PMID 39227757›Full record

ArticleBMC plant biology2024

Transcriptome analysis of lipid biosynthesis during kernel development in two walnut (Juglans regia L.) varieties of 'Xilin 3' and 'Xiangling'.

Yuanru Hao, Xiangrui Ge, Rui Xu, Xiaona Zhao, Meizhi Zhai

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

5 authors.

Yuanru HaoCollege of Forestry, Northwest A & F University, Yangling, Shaanxi, 712100, China.
Xiangrui GeCollege of Forestry, Northwest A & F University, Yangling, Shaanxi, 712100, China.
Rui XuCollege of Forestry, Northwest A & F University, Yangling, Shaanxi, 712100, China.
Xiaona ZhaoCollege of Forestry, Northwest A & F University, Yangling, Shaanxi, 712100, China.
Meizhi ZhaiCollege of Forestry, Northwest A & F University, Yangling, Shaanxi, 712100, China. plum-zhai@163.com.

Funding

the National Key Research and Development Program of China 2023YFD2200300the Research Fund of the Shaanxi Provincial Key Research and Development Program 2023-ZDLNY-18
6 · The paper itself

Abstract

backgroundWalnut is an oilseed tree species and an ecologically important woody tree species that is rich in oil and nutrients. In light of differences in the lipid content, fatty acid composition and key genes expression patterns in different walnut varieties, the key gene regulatory networks for lipid biosynthesis in different varieties of walnuts were intensively investigated.

resultsThe kernels of two walnut varieties, 'Xilin 3' (X3) and 'Xiangling' (XL) were sampled at 60, 90, and 120 days post-anthesis (DPA) to construct 18 cDNA libraries, and the candidate genes related to oil synthesis were identified via sequencing and expression analysis. A total of 106 differentially expressed genes associated with fatty acid biosynthesis, fatty acid elongation, unsaturated fatty acid biosynthesis, triglyceride assembly, and oil body storage were selected from the transcriptomes. Weighted gene co-expression network analysis (WGCNA), correlation analysis and quantitative validation confirmed the key role of the FAD3 (109002248) gene in lipid synthesis in different varieties.

conclusionsThese results provide valuable resources for future investigations and new insights into genes related to oil accumulation and lipid metabolism in walnut seed kernels. The findings will also aid future molecular studies and ongoing efforts to genetically improve walnut.

Indexed as

Gene Expression ProfilingJuglansSeedsGene Expression Regulation, PlantGene Regulatory NetworksGenes, PlantLipid MetabolismLipidsNutsPlant ProteinsTranscriptomeLipidsPlant ProteinsFatty acidGene expressionLipid biosynthesisOil contentTranscriptome sequencingWalnut kernels

Identifiers

PMID39227757
PMCPMC11373280

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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.