Article in GigaScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
21 authors.
Shijun PanArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.
Huan DuArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-0020-149X
Ruiqi ZhengShenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen 518055, China.
Cuijing ZhangArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0003-0904-5531
Jie PanArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-7431-9837
Xilan YangShenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen 518055, China.ORCID 0000-0002-5444-2969
Xiaolan LinKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361102, China.ORCID 0009-0000-3739-8719
Jinhui LiGuangxi Key Laboratory for Green Processing of Sugar Resources, College of Biological and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.ORCID 0000-0001-5842-3178
Wan LiuNational Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai 200031, China.ORCID 0000-0002-3638-1461
Haokui ZhouShenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen 518055, China.ORCID 0000-0002-6931-3377
Shuming MoGuangxi Key Laboratory for Green Processing of Sugar Resources, College of Biological and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Guoqing ZhangNational Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai 200031, China.ORCID 0000-0001-8827-7546
Guoping ZhaoNational Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai 200031, China.ORCID 0000-0002-7621-6620
Yun TianKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361102, China.
Chengjian JiangGuangxi Key Laboratory for Green Processing of Sugar Resources, College of Biological and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.ORCID 0000-0001-6887-7560
Yang LiuArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-1109-0756
Meng LiArchaeal Biology Centre, Synthetic Biology Research Center, Shenzhen Key Laboratory of Marine Microbiome Engineering, Key Laboratory of Marine Microbiome Engineering of Guangdong Higher Education Institutes, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0001-8675-0758
Funding
Guangdong Major Project of Basic and Applied Basic Research 2023B0303000017National Natural Science Foundation of China 31970105National Natural Science Foundation of China 32070108National Natural Science Foundation of China 32200099National Natural Science Foundation of China 32225003National Natural Science Foundation of China 32370055National Natural Science Foundation of China 42303064National Natural Science Foundation of China 42430707National Natural Science Foundation of China 92051102National Natural Science Foundation of China 92251306National Natural Science Foundation of China 92251307National Natural Science Foundation of China 92351303Shenzhen Science and Technology Program 20220809161641002Shenzhen Science and Technology Program JCYJ20200109105010363Shenzhen Science and Technology Program JCYJ20230808105711023Shenzhen Science and Technology Program KCXFZ20201221173404012Shenzhen University 2022B002Southern Marine Science and Engineering Guangdong Laboratory SML2023SP218/SML2023SP237
6 · The paper itself
Abstract
backgroundMangroves are one of the most productive marine ecosystems with high ecosystem service value. The sediment microbial communities contribute to pivotal ecological functions in mangrove ecosystems. However, the study of mangrove sediment microbiomes is limited.
findingsHere, we applied metagenome sequencing analysis of microbial communities in mangrove sediments across Southeast China from 2014 to 2020. This genome dataset includes 966 metagenome-assembled genomes with ≥50% completeness and ≤10% contamination generated from 6 groups of samples. Phylogenomic analysis and taxonomy classification show that mangrove sediments are inhabited by microbial communities with high species diversity. Thermoplasmatota, Thermoproteota, and Asgardarchaeota in archaea, as well as Proteobacteria, Desulfobacterota, Chloroflexota, Acidobacteriota, and Gemmatimonadota in bacteria, dominate the mangrove sediments across Southeast China. Functional analyses suggest that the microbial communities may contribute to carbon, nitrogen, and sulfur cycling in mangrove sediments.
conclusionsThese combined microbial genomes provide an important complement of global mangrove genome datasets and may serve as a foundational resource for enhancing our understanding of the composition and functions of mangrove sediment microbiomes.
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.
A holistic genome dataset of bacteria and archaea of mangrove sediments. · full record | OpenQuestion