Evidence map›Paper›PMID 39051673›Full record

ArticleSystematic biology2024

Complex but Clear Allopolyploid Pattern of Subtribe Tussilagininae (Asteraceae: Senecioneae) Revealed by Robust Phylogenomic Evidence, with Development of a Novel Homeolog-Sorting Pipeline.

Chen Ren, Long Wang, Ze-Long Nie, Ming Tang, Gabriel Johnson, Hui-Tong Tan, Nian-He Xia, Jun Wen, Qin-Er Yang

Abstract read
In one paragraph

Article in Systematic biology, 2024. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Phylogenetic networks empower biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

9 authors.

Chen RenState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou, Guangdong 510650, China.ORCID 0000-0002-0910-9737
Long WangState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou, Guangdong 510650, China.
Ze-Long NieKey Laboratory of Plant Resources Conservation and Utilization, College of Biology and Environmental Sciences, Jishou University, 120 Renminnan Road, Jishou, Hunan 416000, China.
Ming TangCollaborative Innovation Center of Jiangxi Typical Trees Cultivation and Utilization, College of Forestry, Jiangxi Agricultural University, 1101 Zhimin Avenue, Qingshanhu District, Nanchang, Jiangxi 330045, China.
Gabriel JohnsonDepartment of Botany, National Museum of Natural History, MRC 166, Smithsonian Institution, Washington, DC 20560, USA.
Hui-Tong TanSouth China National Botanical Garden, 723 Xingke Road, Tianhe District, Guangzhou, Guangdong 510650, China.
Nian-He XiaState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou, Guangdong 510650, China.
Jun WenDepartment of Botany, National Museum of Natural History, MRC 166, Smithsonian Institution, Washington, DC 20560, USA.
Qin-Er YangState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou, Guangdong 510650, China.

Funding

Guangdong Flagship Project of Basic and Applied Basic Research 2023B0303050001National Natural Science Foundation of China 32070238Science and Technology Projects in Guangzhou 202201010620South China Botanical Garden, Chinese Academy of Sciences QNXM-07
6 · The paper itself

Abstract

Polyploidy is a significant mechanism in eukaryotic evolution and is particularly prevalent in the plant kingdom. However, our knowledge about this phenomenon and its effects on evolution remains limited. A major obstacle to the study of polyploidy is the great difficulty in untangling the origins of allopolyploids. Due to the drastic genome changes and the erosion of allopolyploidy signals caused by the combined effects of hybridization and complex postpolyploid diploidization processes, resolving the origins of allopolyploids has long been a challenging task. Here we revisit this issue with the interesting case of subtribe Tussilagininae (Asteraceae: Senecioneae) and by developing HomeoSorter, a new pipeline for network inferences by phasing homeologs to parental subgenomes. The pipeline is based on the basic idea of a previous study but with major changes to address the scaling problem and implement some new functions. With simulated data, we demonstrate that HomeoSorter works efficiently on genome-scale data and has high accuracy in identifying polyploid patterns and assigning homeologs. Using HomeoSorter, the maximum pseudo-likelihood model of Phylonet, and genome-scale data, we further address the complex origin of Tussilagininae, a speciose group (ca. 45 genera and 710 species) characterized by having high base chromosome numbers (mainly x = 30, 40). In particular, the inferred patterns are strongly supported by the chromosomal evidence. Tussilagininae is revealed to comprise 2 large groups with successive allopolyploid origins: Tussilagininae s.s. (mainly x = 30) and the Gynoxyoid group (x = 40). Two allopolyploidy events first give rise to Tussilagininae s.s., with the first event occurring between the ancestor of subtribe Senecioninae (x = 10) and a lineage (highly probably with x = 10) related to the Brachyglottis alliance, and the resulting hybrid lineage crossing with the ancestor of Chersodoma (x = 10) and leading to Tussilagininae s.s. Then, after early diversification, the Central American group (mainly x = 30) of Tussilagininae s.s., is involved in a third allopolyploidy event with, again, the Chersodoma lineage and produces the Gynoxyoid group. Our study highlights the value of HomeoSorter and the homeolog-sorting approach in polyploid phylogenetics. With rich species diversity and clear evolutionary patterns, Tussilagininae s.s. and the Gynoxyoid group are also excellent models for future investigations of polyploidy.

Indexed as

AsteraceaeGenome, PlantPhylogenyPolyploidyClassificationAllopolyploidyBrachyglottisGynoxyshomeolog sortingreticulationtarget enrichmentTussilagininae

Identifiers

PMID39051673
PMCPMC12508807

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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 Socratic graph.