Evidence map›Paper›PMID 39567881›Full record

ArticleBMC plant biology2024

Molecular mechanisms of flowering time differentiation revealed by transcriptomic sequencing and de novo analysis in Chinese invasive populations of Ambrosia artemisiifolia.

Xiao-Feng Yang, Xiao-Meng Li, Pär K Ingvarsson, Chao Xi, Wan-Jin Liao

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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 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiao-Feng YangMinistry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University, Beijing, 100875, China.
Xiao-Meng LiNational Demonstration Center for Experimental Life Sciences and Biotechnology Education, Beijing Normal University, Beijing, 100875, China. xiaomengli@bnu.edu.cn.
Pär K IngvarssonDepartment of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences, PO Box 7080, Uppsala, 750 07, Sweden.
Chao XiCollege of Life Sciences, Beijing Normal University, Beijing, 100875, China.
Wan-Jin LiaoMinistry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University, Beijing, 100875, China. liaowj@bnu.edu.cn.

Funding

National Natural Science Foundation of China 31700326National Natural Science Foundation of China 32371582
6 · The paper itself

Abstract

backgroundAmbrosia artemisiifolia is a highly invasive herb with deleterious effects on public health and agricultural systems. Flowering time in this species has been reported to vary along a latitudinal gradient, which may contribute to local adaptation and invasion success in China. However, the molecular basis for the flowering time differentiation remains unclear.

resultsA common garden experiment confirmed a latitudinal gradient in flowering time among seven Chinese populations. Differentially expressed genes (DEGs) across sampling times and flowering time groups were identified through transcriptome sequencing and analyses of DGE and WGCNA, and were partially annotated to circadian rhythm, light response and hormone response through GO enrichment. By annotating to Flowering Interactive Database (FLOR-ID) and protein-protein interaction (PPI) databases, 53 candidate genes for flowering time differentiation were identified, with 23 of these genes linked to the photoperiod pathway. Additionally, 43 of 53 candidate genes exhibited expression correlated with latitude. Six genes, including FKF1, FT, FUL, MAF2, WNK4 and WNK5, were inferred to promote flowering, while 5 genes, FBH3, FLK, NCL(1), POL2A, and ZHD4, likely repress flowering, based on their expression patterns in relation to latitude and sampling times. Notably, NCL(1), FBH3, MAF2, and FLK may function differently in A. artemisiifolia compared to Arabidopsis thaliana.

conclusionsThis study identified key candidate genes related to the differentiation of flowering time in Chinese ragweed populations, providing valuable insights into molecular mechanisms of phenological adaptation and invasive success of ragweed.

Indexed as

AmbrosiaFlowersIntroduced SpeciesTranscriptomeChinaGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantPhotoperiodDifferentiation of flowering timeFlowering regulatory pathwayInvasive plantsTranscriptome

Identifiers

PMID39567881
PMCPMC11580670

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