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Goldman SL, Sanders JG, Sprockett DD, Landers A, Yan W, Moeller AH. Hackflex library preparation enables low-cost metagenomic profiling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.23.590092. [PMID: 38712258 PMCID: PMC11071439 DOI: 10.1101/2024.04.23.590092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Shotgun metagenomic sequencing provides valuable insights into microbial communities, but the high cost of library preparation with standard kits and protocols is a barrier for many. New methods such as Hackflex use diluted commercially available reagents to greatly reduce library preparation costs. However, these methods have not been systematically validated for metagenomic sequencing. Here, we evaluate Hackflex performance by sequencing metagenomic libraries from known mock communities as well as mouse fecal samples prepared by Hackflex, Illumina DNA Prep, and Illumina TruSeq methods. Hackflex successfully recovered all members of the Zymo mock community, performing best for samples with DNA concentrations <1 ng/uL. Furthermore, Hackflex was able to delineate microbiota of individual inbred mice from the same breeding stock at the same mouse facility, and statistical modeling indicated that mouse ID explained a greater fraction of the variance in metagenomic composition than did library preparation method. These results show that Hackflex is suitable for generating inventories of bacterial communities through metagenomic sequencing.
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Affiliation(s)
- Samantha L. Goldman
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540
| | - Jon G. Sanders
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
| | - Daniel D. Sprockett
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
| | - Abigail Landers
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
| | - Weiwei Yan
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
| | - Andrew H. Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540
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Galgano S, Conway L, Fellows A, Houdijk J. Impact of precursor-derived peracetic acid on post-weaning diarrhea, intestinal microbiota, and predicted microbial functional genes in weaned pigs. Front Microbiol 2024; 15:1356538. [PMID: 38333588 PMCID: PMC10850238 DOI: 10.3389/fmicb.2024.1356538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 01/08/2024] [Indexed: 02/10/2024] Open
Abstract
Post-weaning diarrhea affects piglets in the nursery phase of production, leading to a substantial impact both at the farm and financial levels. The multifactorial etiology of this disease includes housing conditions, pig genetics, microbial composition, and metagenomic assets. Among the common therapeutic approaches, the widely used zinc oxide underwent a European Union ban in 2022 due to its negative environmental impact and correlation to increased antimicrobial resistance. During this study, we have tested two levels of inclusion of the potential antimicrobial alternative peracetic acid, delivered in water via the hydrolysis of the precursors sodium percarbonate and tetraacetylethylenediamine, in comparison to zinc oxide and an untreated control during a 2-week animal study. We assessed the microbial composition and predicted the metagenome, together with performance and physiological parameters, in order to describe the microbial functional role in etiopathology. Both zinc oxide and peracetic acid resulted in amelioration of the diarrheal status by the end of the trial period, with noticeable zinc oxide effects visible from the first week. This was accompanied by improved performance when compared to the first-week figures and a decreased stomach pH in both peracetic acid levels. A significant reduction in both stomach and caecal Proteobacteria was recorded in the zinc oxide group, and a significant reduction of Campylobacter in the stomach was reported for both zinc oxide and one of the peracetic acid concentrations. Among other functional differences, we found that the predicted ortholog for the zonula occludens toxin, a virulence factor present in pathogens like Escherichia coli and Campylobacter jejuni, was less abundant in the stomach of treated pigs compared to the control group. In water, peracetic acid delivered via precursor hydrolysis has the potential to be a valid intervention, an alternative to antimicrobial, to assist the weaning of piglets. Our findings support the view that post-weaning diarrhea is a complex multifactorial disease with an important metagenomic component characterized by the differential abundance of specific predicted orthologs and microbial genera in the stomach and caecum of pigs.
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Affiliation(s)
- Salvatore Galgano
- Monogastric Science Research Centre, Scotland's Rural College (SRUC), Edinburgh, United Kingdom
| | | | | | - Jos Houdijk
- Monogastric Science Research Centre, Scotland's Rural College (SRUC), Edinburgh, United Kingdom
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Goldman SL, Sanders JG, Sprockett DD, Landers A, Yan W, Moeller AH. Hackflex library preparation enables low-cost metagenomic profiling. ISME COMMUNICATIONS 2024; 4:ycae075. [PMID: 38912052 PMCID: PMC11190725 DOI: 10.1093/ismeco/ycae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/22/2024] [Accepted: 05/28/2024] [Indexed: 06/25/2024]
Abstract
Shotgun metagenomic sequencing provides valuable insights into microbial communities, but the high cost of library preparation with standard kits and protocols is a barrier for many. New methods such as Hackflex use diluted commercially available reagents to greatly reduce library preparation costs. However, these methods have not been systematically validated for metagenomic sequencing. Here, we evaluate Hackflex performance by sequencing metagenomic libraries from known mock communities as well as mouse fecal samples prepared by Hackflex, Illumina DNA Prep, and Illumina TruSeq methods. Hackflex successfully recovered all members of the Zymo mock community, performing best for samples with DNA concentrations <1 ng/μL. Furthermore, Hackflex was able to delineate microbiota of individual inbred mice from the same breeding stock at the same mouse facility, and statistical modeling indicated that mouse ID explained a greater fraction of the variance in metagenomic composition than did library preparation method. These results show that Hackflex is suitable for generating inventories of bacterial communities through metagenomic sequencing.
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Affiliation(s)
- Samantha L Goldman
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
- Department of Ecology and Evolutionary Biology, Princeton University, 301 Guyot, Princeton, NJ 08540, United States
| | - Jon G Sanders
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
| | - Daniel D Sprockett
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
| | - Abigail Landers
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
| | - Weiwei Yan
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States
- Department of Ecology and Evolutionary Biology, Princeton University, 301 Guyot, Princeton, NJ 08540, United States
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Li Z, Liu Y, Chen Y, Shu H, Lu J, Gui Z. Dual-domain fusion deep convolutional neural network for low-dose CT denoising. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2023:XST230020. [PMID: 37212059 DOI: 10.3233/xst-230020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
BACKGROUND In view of the underlying health risks posed by X-ray radiation, the main goal of the present research is to achieve high-quality CT images at the same time as reducing x-ray radiation. In recent years, convolutional neural network (CNN) has shown excellent performance in removing low-dose CT noise. However, previous work mainly focused on deepening and feature extraction work on CNN without considering fusion of features from frequency domain and image domain. OBJECTIVE To address this issue, we propose to develop and test a new LDCT image denoising method based on a dual-domain fusion deep convolutional neural network (DFCNN). METHODS This method deals with two domains, namely, the DCT domain and the image domain. In the DCT domain, we design a new residual CBAM network to enhance the internal and external relations of different channels while reducing noise to promote richer image structure information. For the image domain, we propose a top-down multi-scale codec network as a denoising network to obtain more acceptable edges and textures while obtaining multi-scale information. Then, the feature images of the two domains are fused by a combination network. RESULTS The proposed method was validated on the Mayo dataset and the Piglet dataset. The denoising algorithm is optimal in both subjective and objective evaluation indexes as compared to other state-of-the-art methods reported in previous studies. CONCLUSIONS The study results demonstrate that by applying the new fusion model denoising, denoising results in both image domain and DCT domain are better than other models developed using features extracted in the single image domain.
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Affiliation(s)
- Zhiyuan Li
- School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China
- State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China
| | - Yi Liu
- School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China
- State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China
| | - Yang Chen
- School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Huazhong Shu
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, Jiangsu, China
| | - Jing Lu
- School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China
- State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China
| | - Zhiguo Gui
- School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China
- State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China
- Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, North University of China, Taiyuan, China
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Ji Y, Xi H, Zhao Z, Jiang Q, Chen C, Wang X, Li F, Li N, Sun C, Feng X, Lei L, Han W, Gu J. Metagenomics analysis reveals potential pathways and drivers of piglet gut phage-mediated transfer of ARGs. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160304. [PMID: 36427721 DOI: 10.1016/j.scitotenv.2022.160304] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/13/2022] [Accepted: 11/15/2022] [Indexed: 06/16/2023]
Abstract
The growing prevalence of antibiotic-resistant pathogens has led to a better understanding of the underlying processes that lead to this expansion. Intensive pig farms are considered one of the hotspots for antibiotic resistance gene (ARG) transmission. Phages, as important mobile carriers of ARGs, are widespread in the animal intestine. However, our understanding of phage-associated ARGs in the pig intestine and their underlying drivers is limited. Here, metagenomic sequencing and analysis of viral DNA and total DNA of different intestinal (ileum, cecum and feces) contents in healthy piglets and piglets with diarrhea were separately conducted. We found that phages in piglet ceca are the main repository for ARGs and mobile genetic element (MGE) genes. Phage-associated MGEs are important factors affecting the maintenance and transfer of ARGs. Interestingly, the colocalization of ARGs and MGE genes in piglet gut phages does not appear to be randomly selected but rather related to a specific phage host (Streptococcus). In addition, in the feces of piglets with diarrhea, the abundance of phages carrying ARGs and MGE genes was significantly increased, as was the diversity of polyvalent phages (phages with broad host ranges), which would facilitate the transfection and wider distribution of ARGs in the bacterial community. Moreover, the predicted host spectrum of polyvalent phages in diarrheal feces tended to be potential enteropathogenic genera, which greatly increased the risk of enteropathogens acquiring ARGs. Notably, we also found ARG-homologous genes in the sequences of piglet intestinal mimiviruses, suggesting that the piglet intestinal mimiviruses are a potential repository of ARGs. In conclusion, this study greatly expands our knowledge of the piglet gut microbiome, revealing the underlying mechanisms of maintenance and dissemination of piglet gut ARGs and providing a reference for the prevention and control of ARG pollution in animal husbandry.
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Affiliation(s)
- Yalu Ji
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Hengyu Xi
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Zhen Zhao
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Qiujie Jiang
- Jilin Animal Disease Control Center, Changchun 130062, People's Republic of China
| | - Chong Chen
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Xinwu Wang
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Fengyang Li
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Na Li
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Changjiang Sun
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Xin Feng
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Liancheng Lei
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China
| | - Wenyu Han
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, People's Republic of China.
| | - Jingmin Gu
- State Key Laboratory for Zoonotic Diseases, Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, People's Republic of China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, People's Republic of China.
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Gaio D, DeMaere MZ, Anantanawat K, Eamens GJ, Falconer L, Chapman TA, Djordjevic S, Darling AE. Phylogenetic diversity analysis of shotgun metagenomic reads describes gut microbiome development and treatment effects in the post-weaned pig. PLoS One 2022; 17:e0270372. [PMID: 35749534 PMCID: PMC9232140 DOI: 10.1371/journal.pone.0270372] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/08/2022] [Indexed: 11/18/2022] Open
Abstract
Intensive farming practices can increase exposure of animals to infectious agents against which antibiotics are used. Orally administered antibiotics are well known to cause dysbiosis. To counteract dysbiotic effects, numerous studies in the past two decades sought to understand whether probiotics are a valid tool to help re-establish a healthy gut microbial community after antibiotic treatment. Although dysbiotic effects of antibiotics are well investigated, little is known about the effects of intramuscular antibiotic treatment on the gut microbiome and a few studies attempted to study treatment effects using phylogenetic diversity analysis techniques. In this study we sought to determine the effects of two probiotic- and one intramuscularly administered antibiotic treatment on the developing gut microbiome of post-weaning piglets between their 3rd and 9th week of life. Shotgun metagenomic sequences from over 800 faecal time-series samples derived from 126 post-weaning piglets and 42 sows were analysed in a phylogenetic framework. Differences between individual hosts such as breed, litter, and age, were found to be important contributors to variation in the community composition. Host age was the dominant factor in shaping the gut microbiota of piglets after weaning. The post-weaning pig gut microbiome appeared to follow a highly structured developmental program with characteristic post-weaning changes that can distinguish hosts that were born as little as two days apart in the second month of life. Treatment effects of the antibiotic and probiotic treatments were found but were subtle and included a higher representation of Mollicutes associated with intramuscular antibiotic treatment, and an increase of Lactobacillus associated with probiotic treatment. The discovery of correlations between experimental factors and microbial community composition is more commonly addressed with OTU-based methods and rarely analysed via phylogenetic diversity measures. The latter method, although less intuitive than the former, suffers less from library size normalization biases, and it proved to be instrumental in this study for the discovery of correlations between microbiome composition and host-, and treatment factors.
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Affiliation(s)
- Daniela Gaio
- iThree Institute, University of Technology Sydney, Ultimo, Australia
- * E-mail:
| | | | - Kay Anantanawat
- iThree Institute, University of Technology Sydney, Ultimo, Australia
| | - Graeme J. Eamens
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, Australia
| | - Linda Falconer
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, Australia
| | - Toni A. Chapman
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, Australia
| | - Steven Djordjevic
- iThree Institute, University of Technology Sydney, Ultimo, Australia
| | - Aaron E. Darling
- iThree Institute, University of Technology Sydney, Ultimo, Australia
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Gaio D, Anantanawat K, To J, Liu M, Monahan L, Darling AE. Hackflex: low-cost, high-throughput, Illumina Nextera Flex library construction. Microb Genom 2022; 8. [PMID: 35014949 PMCID: PMC8914357 DOI: 10.1099/mgen.0.000744] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
We developed a low-cost method for the production of Illumina-compatible sequencing libraries that allows up to 14 times more libraries for high-throughput Illumina sequencing to be generated for the same cost. We call this new method Hackflex. The quality of library preparation was tested by constructing libraries from Escherichia coli MG1655 genomic DNA using either Hackflex, standard Nextera Flex (recently renamed as Illumina DNA Prep) or a variation of standard Nextera Flex in which the bead-linked transposase is diluted prior to use. In order to test the library quality for genomes with a higher and a lower G+C content, library construction methods were also tested on Pseudomonas aeruginosa PAO1 and Staphylococcus aureus ATCC 25923, respectively. We demonstrated that Hackflex can produce high-quality libraries and yields a highly uniform coverage, equivalent to the standard Nextera Flex kit. We show that strongly size-selected libraries produce sufficient yield and complexity to support de novo microbial genome assembly, and that assemblies of the large-insert libraries can be much more contiguous than standard libraries without strong size selection. We introduce a new set of sample barcodes that are distinct from standard Illumina barcodes, enabling Hackflex samples to be multiplexed with samples barcoded using standard Illumina kits. Using Hackflex, we were able to achieve a per-sample reagent cost for library prep of A$7.22 (Australian dollars) (US $5.60; UK £3.87, £1=A$1.87), which is 9.87 times lower than the standard Nextera Flex protocol at advertised retail price. An additional simple modification and further simplification of the protocol by omitting the wash step enables a further price reduction to reach an overall 14-fold cost saving. This method will allow researchers to construct more libraries within a given budget, thereby yielding more data and facilitating research programmes where sequencing large numbers of libraries is beneficial.
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Affiliation(s)
- Daniela Gaio
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
| | - Kay Anantanawat
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
| | - Joyce To
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
| | - Michael Liu
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
| | - Leigh Monahan
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
| | - Aaron E Darling
- iThree Institute, University of Technology Sydney, Sydney, NSW, Australia
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8
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Gaio D, DeMaere MZ, Anantanawat K, Eamens GJ, Liu M, Zingali T, Falconer L, Chapman TA, Djordjevic SP, Darling AE. A large-scale metagenomic survey dataset of the post-weaning piglet gut lumen. Gigascience 2021; 10:giab039. [PMID: 34080630 PMCID: PMC8173662 DOI: 10.1093/gigascience/giab039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/22/2021] [Accepted: 05/04/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Early weaning and intensive farming practices predispose piglets to the development of infectious and often lethal diseases, against which antibiotics are used. Besides contributing to the build-up of antimicrobial resistance, antibiotics are known to modulate the gut microbial composition. As an alternative to antibiotic treatment, studies have previously investigated the potential of probiotics for the prevention of postweaning diarrhea. In order to describe the post-weaning gut microbiota, and to study the effects of two probiotics formulations and of intramuscular antibiotic treatment on the gut microbiota, we sampled and processed over 800 faecal time-series samples from 126 piglets and 42 sows. RESULTS Here we report on the largest shotgun metagenomic dataset of the pig gut lumen microbiome to date, consisting of >8 Tbp of shotgun metagenomic sequencing data. The animal trial, the workflow from sample collection to sample processing, and the preparation of libraries for sequencing, are described in detail. We provide a preliminary analysis of the dataset, centered on a taxonomic profiling of the samples, and a 16S-based beta diversity analysis of the mothers and the piglets in the first 5 weeks after weaning. CONCLUSIONS This study was conducted to generate a publicly available databank of the faecal metagenome of weaner piglets aged between 3 and 9 weeks old, treated with different probiotic formulations and intramuscular antibiotic treatment. Besides investigating the effects of the probiotic and intramuscular antibiotic treatment, the dataset can be explored to assess a wide range of ecological questions with regards to antimicrobial resistance, host-associated microbial and phage communities, and their dynamics during the aging of the host.
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Affiliation(s)
- Daniela Gaio
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Matthew Z DeMaere
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Kay Anantanawat
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Graeme J Eamens
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Woodbridge Rd, Menangle NSW 2568, Australia
| | - Michael Liu
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Tiziana Zingali
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Linda Falconer
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Woodbridge Rd, Menangle NSW 2568, Australia
| | - Toni A Chapman
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Woodbridge Rd, Menangle NSW 2568, Australia
| | - Steven P Djordjevic
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Aaron E Darling
- The iThree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia
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