ArticleCurrent microbiology2025
Ecological Impacts of Sunflowers on Soil Microbial Communities: Insights from Full-Length 16S rRNA Sequencing.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
40397056What OpenQuestion holds
Registered trials
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.