Evidence map›Paper›PMID 42448939›Full record

ArticleHeredity2026

Genomic evidence for widespread hybridization and demographic history in invasive saltcedar.

Soo-Rang Lee, Tae-Young Choi

Abstract read
In one paragraph

Article in Heredity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Soo-Rang LeeDepartment of Biology Education, College of Education, Chosun University, Gwangju, South Korea. ra1130@chosun.ac.kr.ORCID http://orcid.org/0000-0003-0277-4926
Tae-Young ChoiDepartment of Biology Education, College of Education, Chosun University, Gwangju, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological invasions provide opportunities for previously isolated lineages to come into secondary contact, often resulting in hybridization. This process can generate admixed genomes and novel phenotypes, potentially contributing to invasion success. Here, we investigated invasive saltcedar (Tamarix spp.) in the southwestern United States using genome-wide SNP data from 319 individuals, including the parental lineages Tamarix chinensis and T. ramosissima. By integrating population genomics, ecological niche modeling, and demographic inference, we reconstructed the origins of invasive populations and characterized admixture across major river basins. Our results reveal that introduced populations are predominantly admixed, with varying ancestry contributions from both parental lineages. Multiple lines of evidence, including hybrid indices, f3-statistics, and phylogenetic network analyses, support extensive admixture among US populations. Demographic inference indicates a recent origin consistent with historical introduction records and suggests that admixed propagules were likely introduced and subsequently expanded. Furthermore, ecological niche analyses suggest significant differentiation and niche expansion in the introduced populations compared to their native parental counterparts. Together, these results demonstrate that hybridization, together with multiple introductions and demographic processes, contributed to the maintenance of neutral genetic diversity and may have facilitated the successful establishment of these invasive populations. More broadly, this study highlights how integrating genomic data with ecological niche analyses clarifies the evolutionary dynamics during biological invasions.

Indexed as

Genetics, PopulationHybridization, GeneticIntroduced SpeciesTamaricaceaeEcosystemGenetic VariationGenome, PlantPhylogenyPolymorphism, Single NucleotideSouthwestern United States

Identifiers

PMID42448939
PMCPMC13612399

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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 OpenQuestion graph.