Refined Phylogenomics Resolves Discordance in the Aphidinae Phylogeny

Background/Objectives: Aphids are among the most economically damaging agricultural pests globally. However, the internal phylogeny of their largest subfamily, Aphidinae, remains contentious, particularly regarding intergeneric relationships, tribal boundaries, and monophyletic status. Here, we coupled refined taxon sampling with rigorous data-filtering strategies to resolve these persistent phylogenetic discordances. Methods: We sequenced the genomes of four aphid species: Lipaphis pseudobrassicae, Rhopalosiphum maidis, Hyalopterus arundiniformis, and Uroleucon helianthicola. Integrating these new data with public genomic and transcriptomic resources, we established a comprehensive phylogenomic framework for Aphidinae. To address conflicting topologies, we compared a taxonomically broad 157-taxa dataset against a high-completeness 47-taxa core dataset. Furthermore, we evaluated the impact of intrinsic sequence properties, such as compositional heterogeneity and substitution rates, on phylogenetic conflict. Results: Our analyses demonstrate that filtering phylogenetically inconsistent loci and accounting for site heterogeneity significantly improve the topological stability of previously recalcitrant taxa. Conclusions: This study provides a refined evolutionary framework for the Aphidinae and underscores the critical importance of rigorous data curation when resolving rapid evolutionary radiations.

Authors

Institutions

Publication Details

Journal
Genes
Published
2026-06-30
DOI
https://doi.org/10.3390/genes17070755
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Refined Phylogenomics Resolves Discordance in the Aphidinae Phylogeny

Nan Song, Qingbo Tang, Xingyu Lin, Menghan He
Genes
Genomics and Phylogenetic Studies
article

Refined Phylogenomics Resolves Discordance in the Aphidinae Phylogeny

Nan Song, Qingbo Tang, Xingyu Lin, Menghan He
article en

Abstract

Background/Objectives: Aphids are among the most economically damaging agricultural pests globally. However, the internal phylogeny of their largest subfamily, Aphidinae, remains contentious, particularly regarding intergeneric relationships, tribal boundaries, and monophyletic status. Here, we coupled refined taxon sampling with rigorous data-filtering strategies to resolve these persistent phylogenetic discordances. Methods: We sequenced the genomes of four aphid species: Lipaphis pseudobrassicae, Rhopalosiphum maidis, Hyalopterus arundiniformis, and Uroleucon helianthicola. Integrating these new data with public genomic and transcriptomic resources, we established a comprehensive phylogenomic framework for Aphidinae. To address conflicting topologies, we compared a taxonomically broad 157-taxa dataset against a high-completeness 47-taxa core dataset. Furthermore, we evaluated the impact of intrinsic sequence properties, such as compositional heterogeneity and substitution rates, on phylogenetic conflict. Results: Our analyses demonstrate that filtering phylogenetically inconsistent loci and accounting for site heterogeneity significantly improve the topological stability of previously recalcitrant taxa. Conclusions: This study provides a refined evolutionary framework for the Aphidinae and underscores the critical importance of rigorous data curation when resolving rapid evolutionary radiations.

GenesVol. 17(7)
Henan Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Henan Province
Zero hunger
Openalex Percentile: Top 12%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.