Evidence map›Paper›PMID 41024132›Full record

ArticleBMC biology2025

The high-quality genome of Bellamya aeruginosa reveals the molecular mechanisms underlying its remarkable stress resistance.

Gang Wang, Lianfu Chen, Haoran Pan, Aobo Pang, Yanxia Shi, Sisi Chen, Zhijuan Bian, Chijie Yin, Rongchen Liu, Xiaoli Sun and 7 more

Abstract read
In one paragraph

Article in BMC biology, 2025. 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

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Chromosome-Level Genome Assembly and Annotation of the Freshwater SnailAnimals : an open access journal from MDPI · 2026
    Article
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

17 authors.

Gang Wang *Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Lianfu Chen *College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430000, China.
Haoran Pan *Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China.
Aobo Pang *Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Yanxia ShiJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Sisi ChenJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Zhijuan BianJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Chijie YinJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Rongchen LiuJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Xiaoli SunJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Xiaoxiao WuJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Sheng TangJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Fujun XuanJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China.
Qiuning LiuJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China. liuqn@yctu.edu.cn.
Shouquan HouJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China. ythsq2014@163.com.
Boping TangJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China. boptang@163.com.
Daizhen ZhangJiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224007, China. daizhen79wenxin@163.com.

Funding

Key Research and Development Programme of Jiangsu Province BE2020673Major Project of Jiangsu Higher Education Institutions for Basic Science (Natural Science) Research 24KJA240003National Natural Science Foundation of China 32070526
6 · The paper itself

Abstract

backgroundBellamya aeruginosa belongs to the family Viviparidae and is widely distributed in freshwater ecosystems in Asia. This species is resilient to thermal stress and can survive in polluted waters and consequently has been widely studied as a sentinel species for assessing ecosystem risk. To gain resources to study how B. aeruginosa adapts to harsh environments at the molecular level, we assembled a high-quality genome of this species and compared responses in transcriptome sequencing following exposure to wastewater, heat stress, and cold stress.

resultsWe assembled a pseudo-chromosome genome for B. aeruginosa (1.2 Gb, 8 chromosomes) through the integration of multiple sequencing strategies. Comparative genomic analyses demonstrated that genes for the expansion of the Viviparidae branch comprising Cipangopaludina cathayensis, Bellamya purificata, and B. aeruginosa were enriched in GO terms such as developmental growth involved in morphogenesis, regulation of animal organ morphogenesis, and regulation of embryonic development. This may be related to the pattern of viviparous reproduction in viviparids. Transcriptomic analyses revealed that this organism relies on lipid metabolism regulation and antioxidant systems to adapt to hypoxic stresses imposed by wastewater. Additionally, we identified multiple genes encoding heat shock proteins (Hsps) among differentially expressed genes resulting from temperature stress treatments, suggesting that the heat shock response plays a crucial role in enabling B. aeruginosa to cope with environmental stress. In light of these observations, we conducted a comprehensive identification and analysis of the Hsp gene family within B. aeruginosa, discovering that the number of Hsp20 family members was significantly higher in this species compared to other closely related organisms-corresponding with our previous analyses regarding gene family expansion and contraction.

conclusionsThis study has yielded a high-quality genome of B. aeruginosa and provided insights into the potential molecular mechanisms that underpin the organism's environmental resilience, and that Hsps in this species are sensitive to environmental stresses and play a key role in its stress mechanisms.

Indexed as

Genome, BacterialStress, PhysiologicalTranscriptomeAdaptive evolutionHeat shock proteinHigh-quality genomesViviparidae

Identifiers

PMID41024132
PMCPMC12482684

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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.