Evidence map›Paper›PMID 39457443›Full record

ArticleGenes2024

Integrated Transcriptional and Metabolomic Analysis of Factors Influencing Root Tuber Enlargement during Early Sweet Potato Development.

Yaqin Wu, Xiaojie Jin, Lianjun Wang, Jian Lei, Shasha Chai, Chong Wang, Wenying Zhang, Xinsun Yang

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Yaqin WuInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
Xiaojie JinInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
Lianjun WangInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
Jian LeiInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
Shasha ChaiInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
Chong WangCrop Institute of Jiangxi Academy of Agricultural Sciences, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Wenying ZhangCollege of Agriculture, Yangtze University, Jingzhou 434025, China.
Xinsun YangInstitute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.

Funding

China Agriculture Research System of MOF and MARA CARS-10, SweetpotatoFunding for Seed Industry High-quality Development of Hubei Province HBZY2023B002, HBZY2023B002-4Innovation Team Project of Hubei Agricultural Science and Technology Innovation Center 2024-620-000-001-005Science and Technology Innovation Talents and Services Project of Hubei Province 2023EHA066the Key funded Project of Hubei Province. 2023BBB052
6 · The paper itself

Abstract

backgroundSweet potato (

methodsThe aim of this study was to systematically reveal the regulatory network of sweet potato root enlargement through transcriptomic and metabolomic analysis in different early stages of sweet potato root development, combined with phenotypic and anatomical observations.

resultsUsing RNA-seq, we found that the differential genes of the S1 vs. S2, S3 vs. S4, and S4 vs. S5 comparison groups were enriched in the phenylpropane biosynthesis pathway during five developmental stages and identified 67 differentially expressed transcription factors, including AP2, NAC, bHLH, MYB, and C2H2 families. Based on the metabolome, K-means cluster analysis showed that lipids, organic acids, organic oxides, and other substances accumulated differentially in different growth stages. Transcriptome, metabolome, and prophetypic data indicate that the S3-S4 stage is the key stage of root development of sweet potato. Weighted gene co-expression network analysis (WGCNA) showed that transcriptome differential genes were mainly enriched in fructose and mannose metabolism, pentose phosphate, selenium compound metabolism, glycolysis/gluconogenesis, carbon metabolism, and other pathways. The metabolites of different metabolites are mainly concentrated in amino sugar and nucleotide sugar metabolism, flavonoid biosynthesis, alkaloid biosynthesis, pantothenic acid, and coenzyme A biosynthesis. Based on WGCNA analysis of gene-metabolite correlation, 44 differential genes and 31 differential metabolites with high correlation were identified.

conclusionsThis study revealed key gene and metabolite changes in early development of sweet potato root tuber and pointed out potential regulatory networks, providing new insights into sweet potato root tuber development and valuable reference for future genetic improvement.

Indexed as

Gene Expression Regulation, PlantIpomoea batatasPlant RootsTranscriptomeGene Expression ProfilingGene Regulatory NetworksMetabolomeMetabolomicsPlant ProteinsPlant TubersTranscription FactorsPlant ProteinsTranscription Factorsmetabolomicsroot developmentsweet potatotranscriptomicsweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID39457443
PMCPMC11507034

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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.