Article
Mathematical & Computational Biology
Zhongjun Jiang, Xiaobo Li, Lijun Guo
Summary: This study proposes a new method for metagenomic contig binning, which utilizes unsupervised clustering methods and reference databases to address the challenges faced by current methods. Experimental results demonstrate that this method can improve the binning effect.
INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES
(2022)
Article
Microbiology
Koji Arikawa, Keigo Ide, Masato Kogawa, Tatsuya Saeki, Takuya Yoda, Taruho Endoh, Ayumi Matsuhashi, Haruko Takeyama, Masahito Hosokawa
Summary: The SMAGLinker framework integrates single-cell genomics and metagenomics to reconstruct high-resolution genomes from microbial communities. Compared to conventional metagenomics, the single-cell metagenomics approach shows more precise contig binning and higher genome recovery rates.
Article
Biochemistry & Molecular Biology
Dipro Sinha, Anu Sharma, Dwijesh Chandra Mishra, Anil Rai, Shashi Bhushan Lal, Sanjeev Kumar, Moh. Samir Farooqi, Krishna Kumar Chaturvedi
Summary: This paper introduces a novel method, MetaConClust, using coverage information for binning of metagenomic data and automatically finding the optimal number of clusters. Experimental results show that this method performs better for unsupervised techniques and similar for hybrid methods.
Editorial Material
Microbiology
Izaak Coleman, Tal Korem
Summary: The genome-centric paradigm assumes that a linear DNA sequence is the ideal representation of a microbial genome, but it may not always be optimal for microbiome research. This Commentary argues that current metagenomic assembly methods do not effectively model the extensive genomic variability in the microbiome. A genome-free approach using a pan-metagenomic graph is proposed as a solution to this issue.
Article
Biochemical Research Methods
Pengcheng Zeng, Jiaxuan Wangwu, Zhixiang Lin
Summary: This paper introduces an unsupervised transfer learning algorithm, CoupleCoC, for integrative analysis of multimodal single-cell data, based on information theoretic co-clustering framework. It improves clustering performance and matches cell subpopulations across multimodal single-cell genomic datasets.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Microbiology
Jonathon L. Baker
Summary: Recent advances in nanopore sequencing technology and genome assembly methods have made it possible to obtain complete bacterial genomes from human saliva samples. This study presents methods using Oxford Nanopore (ONT) and IIlumina sequencing to obtain 11 complete bacterial genomes from human saliva samples, enabling accurate pangenome analysis and providing insights into the lifestyle and ecological role of these bacteria within the human oral microbiota.
Article
Microbiology
Xinyang Huang, David L. Erickson, Jianghong Meng
Summary: There has been a surge of interest in the impact of microbial diversity on human health, food safety, and environmental functions. Accurately measuring the diversity and structure of these communities is crucial for understanding their effects. PhyloPlus, a web portal developed in this study, allows users to generate customized phylogenies for bacterial or archaeal communities, enabling more accurate descriptions and preventing misleading conclusions.
Article
Microbiology
Mary Hannah Swaney, Shelby Sandstrom, Lindsay R. Kalan
Summary: The skin microbiome plays a crucial role in maintaining skin health, and cobamide sharing may mediate dynamics within skin microbial communities.
Article
Microbiology
Yibin Xu, Yulin Huang, Lijin Guo, Siyu Zhang, Ruiquan Wu, Xiang Fang, Haiping Xu, Qinghua Nie
Summary: This study investigated the gut microbial community structure and antibiotic resistance genes in Chinese yellow-feathered chickens through metagenomic sequencing. The results showed that the microbial populations of yellow-feathered broilers were primarily dominated by Bacteroidetes and Firmicutes at the phylum level and Bacteroides at the genus level. Significant differences in microbial community structure and antibiotic resistance genes were found among different chicken breeds.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Genetics & Heredity
Wenjun Li, Xiaofang Li
Summary: This study identified a significant amount of microbial cells in mine tailings, exhibiting diverse stress response genes. Metabolic reconstruction suggested that the microbial consortia may actively promote sulphide weathering and nitrogen depletion in the environment.
ENVIRONMENTAL MICROBIOME
(2021)
Article
Biochemistry & Molecular Biology
Ray Keren, Raphael Meheust, Joanne M. Santini, Alex Thomas, Jacob West-Roberts, Jillian F. Banfield, Lisa Alvarez-Cohen
Summary: This study investigated the genetic control of arsenic metabolic capacities based on microbial genomes and found distinct metabolic guilds. The microbiomes of humans exposed to arsenic showed a specific arsenic gene signature, and arsenic methylation plays an important role in soil and human microbiomes.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Environmental Sciences
Pooja Sharma, Surendra Pratap Singh, Hafiz M. N. Iqbal, Yen Wah Tong
Summary: Non-degradable pollutants resulting from industrialization, population growth, and lifestyle changes pose threats to human health and the environment. Bioremediation, utilizing microorganisms to remove hazardous contaminants, offers a cost-effective approach. Recent advancements in technologies like next-generation sequencing and metabolic profiling have provided valuable insights into microbial communities and mechanisms in environmental contaminant bioremediation.
ENVIRONMENTAL RESEARCH
(2022)
Article
Microbiology
Keigo Ide, Tatsuya Saeki, Koji Arikawa, Takuya Yoda, Taruho Endoh, Ayumi Matsuhashi, Haruko Takeyama, Masahito Hosokawa
Summary: Single-cell sequencing provides higher resolution and higher quality genomes of skin commensal bacteria compared to conventional metagenomic analysis. The study reveals genetic and functional differences between skin bacterial strains at the strain level, which are associated with intra-species diversity and competition in the skin environment.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Ziyao Wu, Yuxiao Wang, Jiaqi Zeng, Yizhuang Zhou
Summary: This study constructs a dataset with almost all known MAGs for a non-simulated consortium for the first time and develops an elaborate pipeline to construct these MAGs. The dataset has challenging properties for binning and provides valuable insights for evaluating and developing binning methods.
Article
Computer Science, Artificial Intelligence
Xuelong Li, Yunxing Zhang, Rui Zhang
Summary: Clustering methods in unsupervised learning have been highly developed, but they become more complex and parameter tuning is challenging. To address this issue, a novel self-weighted unsupervised linear discriminative analysis method called SWULDA is proposed. This method avoids parameter adjustment and explains the relationship between k-means and linear discriminant analysis (LDA). By utilizing a quadratic weighted optimization framework, the parameters can be adaptively learned. Extensive experiments on multiple datasets validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Angelica M. Jaramillo, Santiago Sierra, Paul Chavarriaga-Aguirre, Diana Katherine Castillo, Anestis Gkanogiannis, Luis Augusto Becerra Lopez-Lavalle, Juan Pablo Arciniegas, Tianhu Sun, Li Li, Ralf Welsch, Erick Boy, Daniel Alvarez
Summary: Cassava biofortification with provitamin A carotenoids is a process aimed at alleviating vitamin A deficiency. A special protein called ORANGE protein (OR) has been found to play a role in carotenoid biosynthesis and stability in cassava. The expression and protein levels of OR and phytoene synthase (PSY) were evaluated in different cassava cultivars, and it was found that OR protein levels were higher in yellow cultivars, while PSY expression was higher in yellow cultivars but protein levels remained the same. Overexpression of one variant of OR greatly increased carotenoid levels in cassava. These findings contribute to the understanding of carotenoid accumulation in cassava.
Article
Biochemistry & Molecular Biology
Mauricio Penuela, Jenny Johana Gallo-Franco, Jorge Finke, Camilo Rocha, Anestis Gkanogiannis, Thaura Ghneim-Herrera, Mathias Lorieux
Summary: This study investigates the association between recombination rates and DNA methylation in two commercial rice varieties, revealing negative and positive correlations between them, as well as the significant impact of the centromere region. Furthermore, machine learning regression models are developed to predict recombination rates using methylated cytosines in the CHH context.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Plant Sciences
Valentin Guignon, Yann Hueber, Mathieu Rouard, Stephanie Bocs, David Couvin, Frederic De Lamotte, Gaetan Droc, Jean-Francois Dufayard, Nordine El Hassouni, Cedric Farcy, Anestis Gkanogiannis, Chantal Hamelin, Delphine Lariviere, Guillaume Martin, Enrique Ortega, Bertrand Pitollat, Stephanie Pointet, Manuel Ruiz, Gautier Sarah, Marilyne Summo, Sebastien Ravel, Pierre Larmande, Cecile Monat, Francois Sabot, Ndomassi Tando, Christine Tranchant-Dubreuil, Guilhem Sempere, Alexis Dereeper
CURRENT PLANT BIOLOGY
(2016)