Evidence map›Paper›PMID 40397056›Full record

ArticleCurrent microbiology2025

Ecological Impacts of Sunflowers on Soil Microbial Communities: Insights from Full-Length 16S rRNA Sequencing.

Seong-Jun Chun, Yingshun Cui, Jihoon Kim, Jun-Woo Lee, Sung Min Han, Kyong-Hee Nam

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Article in Current microbiology, 2025. 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

6 authors.

Seong-Jun ChunDivision of Ecological Application Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Yingshun CuiDivision of Ecological Survey, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Jihoon KimDivision of Ecological Application Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Jun-Woo LeeDivision of Ecological Application Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Sung Min HanDivision of Ecological Application Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea.
Kyong-Hee NamDivision of Ecological Application Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, Republic of Korea. khnam@nie.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sunflower (Helianthus annuus L.), a widely cultivated oilseed crop, is occasionally found growing in non-cultivated areas in South Korea, raising concerns about its unintentional potential ecological impacts. This study investigated the effects of two naturalized sunflower cultivars with varying seed dispersal densities on soil microbial communities in a simulated natural ecosystem. A field experiment was performed using 2 × 2 m plots designed to simulate natural ecosystems. The crops incorporated two types of sunflowers with different seed densities. Microbiome samples were collected at the pre-sowing, growing, and flowering stages and subsequently analyzed using the PacBio Sequel platform. Using long-read sequencing of full-length 16S rRNA genes via the PacBio Sequel II platform, we identified 9,885 amplicon sequence variants (ASVs), including key indicator species significantly correlated with seed density. While sunflowers demonstrated limited dominance and no significant alterations to overall community structure, specific microbial taxa, such as Phycicoccus ginsenosidimutans and Flavisolibacter ginsengiterrae, were strongly associated with sunflower growth. These findings provide critical insights into the potential ecological impacts of sunflower introductions and underscore the importance of full-length 16S rRNA sequencing for accurate microbial identification. This study highlights the need for continuous monitoring and contributes to advancing risk assessment methodologies for naturalized plants in natural ecosystems.

Indexed as

BacteriaHelianthusMicrobiotaSoil MicrobiologyDNA, BacterialEcosystemPhylogenyRepublic of KoreaRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S

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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.