Literature DB >> 32584645

Life-long dynamics of the swine gut microbiome and their implications in probiotics development and food safety.

Ying Li1, Xiaofan Wang2, Xiu-Qi Wang3, Junjun Wang4, Jiangchao Zhao2.   

Abstract

The swine gut microbiome has received remarkable attention in recent years given that pigs serve not only as important sources for animal-derived food but also as excellent biomedical models for human health. However, despite recent advances in the understanding of the swine gut microbiome, many important biological and ecological questions are still largely unanswered. In a recent study, we characterized the life-long dynamics of the swine gut microbiome from birth to market. We showed distinct shifts in gut microbiome structure along different growth stages mainly driven by diet. Here, we summarize these discoveries and provide additional data related to the core swine gut microbiome, probiotics development in the swine industry, and foodborne pathogens in the pork supply chain.

Entities:  

Keywords:  Swine gut microbiome; core microbiome; food safety; probiotics

Year:  2020        PMID: 32584645      PMCID: PMC7524149          DOI: 10.1080/19490976.2020.1773748

Source DB:  PubMed          Journal:  Gut Microbes        ISSN: 1949-0976


Introduction

The human microbiome has been extensively studied in the last decade and substantial progress has been made in that field regarding their membership, structure, dynamics, and correlations with different diseases.[1-5] Pigs serve as important protein sources for human beings. With the increase in global population and preference for animal protein sources, it is critical to maintain sustainable and efficient swine production. Given the importance of pigs as both livestock species and as medical models for human diseases, the swine gut microbiome has been characterized by many groups throughout the world. It has been reported that the swine gut microbiome correlated with feed efficiency, fat deposition, and growth performance.[6-10] Despite this progress toward understanding the swine gut microbiome, many important ecological questions are yet to be answered. The swine industry faces enormous challenges. The emergence and spread of antimicrobial resistance (AMR) from the swine industry due to antibiotic application for disease treatment, prevention, and growth promotion have drawn pressing public health concerns,[11] necessitating the use of alternatives to antibiotics, such as probiotics, in the swine industry. Furthermore, live pigs on farm serve as one of the major sources of foodborne pathogens in the pork supply chain and the environment. Given the critical roles that the gut microbiome plays in swine health and production, it is crucial to better understand the mechanisms underlying the assembly and succession of the microbial communities in pigs to identify beneficial bacteria that might serve as probiotics. It is also important to track the dynamics of the pathogens to establish an effective management strategy to reduce, if not prevent product contamination. Recently, we investigated the life-long dynamics of the swine gut microbiome in a longitudinal study at pre-harvest and addressed many important ecological questions.[12] Here, we build on the discoveries from that study, particularly on the core microbiome and stage-specific bacteria and discuss their implications in the context of probiotics development and detection of foodborne pathogens.

Life-long dynamics of the swine gut microbiome

In a test animal trial, we followed 18 pigs from birth to market and found that their gut microbiome structures significantly shifted during different growth stages: lactation, nursery, growing, and finishing. Dramatic changes in gut microbiome structure occurred during weaning, when the pigs were separated from the sows and provided solid food rather than sow milk. Gradual but significant changes in swine gut microbiome structures were also observed during the different growth stages when the pigs were on a solid diet. Different signature bacterial taxa for these growth stages that drive the shifts in swine gut microbiome structure are listed in Figure 1.
Figure 1.

Bi-plot showing the life-long dynamics of the swine gut microbiome and the stage associated Prevotella.

Bi-plot showing the life-long dynamics of the swine gut microbiome and the stage associated Prevotella. Prevotella is the most abundant genus in the swine gut microbiome. Eleven of the top 30 features belong to this genus. Although three of these Prevotella features belong to the “core” gut microbiome (Table 1), especially Feature 9, which showed the highest abundance at lactation, most of these Prevotella-associated features are stage-specific (Figures 1 and 2). One of them (F29) started appearing at the grower stage whereas eight of these Prevotella features emerged only after weaning when the pigs were introduced to solid food (Figure 2). Prevotella is one of the most abundant genera in humans and its role in human health has been controversial.[13] Prevotella species are associated with dietary carbohydrates in humans,[14] and produce acetate, an energy source for some butyrate producers such as Ruminococcus, Clostridium, and Blautia. In fact, members of these genera such as Blautia also emerged together with Prevotella at the beginning of nursery stage (Figure 2), supporting the co-occurence and possible cross-feeding between these bacteria in pigs.
Table 1.

The swine core gut microbiome.

Feature#Feature IDPhylumOrderFamilyGenusSpecies
F177560703da191 f21e7d250845229fe06FirmicutesClostridialesVeillonellaceaeMegasphaera 
F2e11db671d9c36b550f08a6ee36ba2cefFirmicutesLactobacillalesStreptococcaceaeStreptococcusluteciae
F31919b6828724477c2ab08fd9efe3bcd9BacteroidetesBacteroidalesPrevotellaceaePrevotellacopri
F5002109bc8b4bcf7a97a7794f4cffda2bFirmicutesLactobacillalesLactobacillaceaeLactobacillus 
F69c4260f79a8007b4d15a1e6fe1129ce1BacteroidetesBacteroidalesPrevotellaceaePrevotellacopri
F715caa2d41590f4361bd4ef0b6453fe1 cProteobacteriaEnterobacterialesEnterobacteriaceaeEscherichiacoli
F8230f858e6622e1a686ad91373adc20b9FirmicutesClostridialesVeillonellaceaePhascolarctobacterium 
F938ec373490dc98851951b38c50961207BacteroidetesBacteroidalesPrevotellaceaePrevotella 
F1021709f541225b3d1e30e195bced4322bBacteroidetesBacteroidales[Paraprevotellaceae]YRC22 
F128f194030281f1b235fa5874aa0426bb0BacteroidetesBacteroidalesPrevotellaceaePrevotella 
F1348ea88e5e788894c86b04d558c7ea12dFirmicutesClostridialesVeillonellaceaeAnaerovibrio 
F177ef3b00cc85b6d0730685b757440e392ActinobacteriaCoriobacterialesCoriobacteriaceaeCollinsellaaerofaciens
F2020a99a2686ac6a717b01361cac773046BacteroidetesBacteroidalesPrevotellaceaePrevotellastercorea
F21f0e22244687ff7f51926d7b54adaec4bBacteroidetesBacteroidalesPrevotellaceaePrevotella 
F23522ba9d695541c9ea478db7cafeb4355BacteroidetesBacteroidalesS24-7  
F28fa9cbb7e45355cb861070b68d9a5653bFirmicutesClostridialesRuminococcaceaeOscillospira 
F46b88939309e235a04fdcff68d166139abBacteroidetesBacteroidales[Paraprevotellaceae][Prevotella] 
F4827a8a06bc2b03e2ee032a7aeef16dbe3BacteroidetesBacteroidalesPrevotellaceaePrevotellastercorea
F5036585850033948d7966edf6717266cc0FirmicutesClostridiales[Mogibacteriaceae]Mogibacterium 
F52f324a15262fda881e9e0f6b59a20b21dBacteroidetesBacteroidales[Paraprevotellaceae]CF231 
F53f2c72e7978ae955c780882f71f689e9bFirmicutesClostridialesChristensenellaceae  
F622307b48380cd51b78c43a1da261bdde9BacteroidetesBacteroidales   
F63fdf37b54fbf9f5a82616d90386ade16dBacteroidetesBacteroidalesPrevotellaceaePrevotella 
F7047ee99688649fa7c2937db076f2039deFirmicutesLactobacillalesLactobacillaceaeLactobacillusreuteri
F7755d98aa0513d69baf52b439bb4e4207aProteobacteriaCampylobacteralesCampylobacteraceaeCampylobacter 
F821e3a3bda59a3e703d9ebadfb122655d7FirmicutesClostridialesRuminococcaceaeOscillospira 
F864539eb8d334b124b12ef2f840be6c5d7FirmicutesClostridialesRuminococcaceaeOscillospira 
F87fd2a145204502d5d1453ac09704619adFirmicutesClostridialesRuminococcaceae  
F931f75f87fb55993516a97af66507a0f08BacteroidetesBacteroidales[Paraprevotellaceae][Prevotella] 
F11204e3a222e2655f35b175436f9cb29844BacteroidetesBacteroidales   
F116c0e706eff2fbc0db84755141796f11afBacteroidetesBacteroidales   
F120fd4bd6f441389fd712ee14af66eaf217BacteroidetesBacteroidalesPrevotellaceaePrevotella 
F12152f6ab8a13bead00126a83f61d959ab6FirmicutesLactobacillalesLactobacillaceaeLactobacillusdelbrueckii
F123f212b75172ddc5a1ef357a425ea33482FirmicutesClostridialesChristensenellaceae  
F131c3a1361961c649a26927a4e6b6eaec04FirmicutesLactobacillalesLactobacillaceaeLactobacillusmucosae
F1324b922c405bf97b57647a7f6323092ce1ActinobacteriaCoriobacterialesCoriobacteriaceae  
F136d3ea744c5bbb301b99658befe3e1c162FirmicutesLactobacillalesLactobacillaceaeLactobacillus 
F144562f555227af77f2f0d0cc3e6462c8d8FirmicutesClostridialesRuminococcaceae  
F149795b1744a93f0c030c7cac5ed1573 c20FirmicutesClostridialesRuminococcaceae  
F15376f995a642c756e4baef9ba3588be99aBacteroidetesBacteroidalesPrevotellaceaePrevotella 
F156c26fdaf9bfb7235e29a45dad8554c06 cBacteroidetesBacteroidales   
F157f2f55ee5a197eaf6b65a1c22bedc016dFirmicutesErysipelotrichalesErysipelotrichaceae[Eubacterium]biforme
F169b5dcb92af75a84ef7f76c534e644b4dcFirmicutesClostridialesChristensenellaceae  
F1716fa1b042db7e367356a0e6b600ce46a0FirmicutesClostridiales   
F189990ed356cd9dae5b83314355569514e3BacteroidetesBacteroidales   
F198b05ae994010ddd94626d03a8c4ceafe1FirmicutesErysipelotrichalesErysipelotrichaceae[Eubacterium]biforme
F199179a2e52862950c20141c0e376152624FirmicutesClostridialesRuminococcaceae  
F20127e548475cd61c016aaec05c28e95223FirmicutesClostridialesRuminococcaceae  
F2145503fc4199485012d18108218ba0c589ProteobacteriaDesulfovibrionalesDesulfovibrionaceaeDesulfovibrio 
F215deea65343744187b8e911e87975c8979ActinobacteriaCoriobacterialesCoriobacteriaceae  
F229fec7ae85682e4fb767970f4dab35bbb5SpirochetesSpirochaetalesSpirochaetaceaeTreponema 
F235d102b79fac474290436a96751aaccb59ProteobacteriaGMD14H09   
F2413e2fe19948fdefb2fb179e6f8f1def05FirmicutesClostridialesRuminococcaceaeOscillospira 
F271125a703172cdf3ac7155e51b904d6546FirmicutesClostridialesRuminococcaceaeOscillospira 
F2755947530ad170bbc67f9af778d42f8dc7BacteroidetesBacteroidalesPorphyromonadaceaeParabacteroides 
F302f361d0070bf833c26d64b95fe512847aBacteroidetesBacteroidalesPrevotellaceae  
F310413d7371b0955033e463b538bfab0cfcFirmicutesClostridialesRuminococcaceae  
F312829d3bd6a7df703802fbb4a076f614b5FirmicutesClostridialesRuminococcaceae  
F319fc3d8267a88365a43202affb1b1c0d1fFirmicutesClostridialesRuminococcaceaeOscillospira 
F35771903137448067873e3ffbf70dea44ebFirmicutesClostridiales   
F3941c4985419653025d3a4a1be178f4676 cFirmicutesErysipelotrichalesErysipelotrichaceaep-75-a5 
F4106d3a987e101712b3302f6e8e5beee7eaFirmicutesClostridiales   
F41302c93fa4666bd94365b522152d56bb3cFirmicutesClostridialesLachnospiraceae  
F491ebf50bcde4063f1d5e957907a2879929FirmicutesClostridiales   
F5020007527ae916772430dd7897aeeeb0e8FirmicutesClostridialesRuminococcaceae  
F518547cc82727e9e688a34afaefcedd5c11ProteobacteriaBurkholderialesAlcaligenaceaeSutterella 
F521ba2b96b172b40e9f509571929d9a082bActinobacteriaCoriobacterialesCoriobacteriaceae  
F52465732a9995f5007582ebb500e7df4ea5FirmicutesClostridialesRuminococcaceaeOscillospira 
F561d76796a7df0d1f21a46610474a17f2e4FirmicutesClostridialesRuminococcaceaeRuminococcus 
Figure 2.

Boxplots showing the dynamics of the top 11 bacterial features associated with Prevotella and one feature associated with Blautia during different growth stages of pigs.

Boxplots showing the dynamics of the top 11 bacterial features associated with Prevotella and one feature associated with Blautia during different growth stages of pigs. The swine core gut microbiome.

The swine core microbiome

The core microbiome has been well- researched in different species and ecological niches.[1,15-18] Identifying a core microbiome is vital to understand its function in the gut to enable manipulation of microbial communities that are beneficial for human health. In general, a core microbiome refers to the common group of bacteria present in all or most (e.g. >90%) of the communities of a special habitat.[16,19] However, it has been challenging to define a core microbiome given the many factors that affect the human gut microbiome such as diet, genetics, age, and antibiotics.[2,5,19-23] There have also been efforts in defining a core swine microbiome.[24,25] In a recent study, Holman and colleagues performed a meta-analysis of 20 data sets and found several shared genera such as Prevotella, Clostridium, Alloprevotella, and Ruminococcus. However, the most striking conclusion from the analysis is that, other than gastrointestinal (GI) tract location, the “Study” factor was also significant in shaping the swine gut microbiota. It is not surprising that different niches along the GI tract harbor distinct gut microbiomes given the unique ecological environments and physiological conditions in each niche. The significant effect of “Study” on the swine gut microbiome underscores the importance of standardizing experimental techniques, e.g. sample collection and storage,[26,27] DNA extraction,[28-30] hypervariable regions of the 16 S rRNA gene,[31] and bioinformatics pipelines,[32] to allow cross-study comparisons aiming to identify a core swine gut microbiome. In our recent report, we identified a “core” microbiome of 69 bacterial features that were present in all the growth stages and shared by three groups of pigs in the test and validation trial (Table 1). Consistent with the findings of Holman et al,[25] most of these features are associated with the order Clostridiales (n = 28), Bacteroidiales (n = 22), and Lactobacillales (n = 6). At the family level, the top three families are Prevotellaceae (n = 11), Ruminococcaceae (n = 16), and Lactobacillaceae (n = 5). A total of 10 features were not classified to the family level. Although some of the top features such as Megasphaera (F1) and Prevotella (F3) were present during all the growth stages, others such as F4 (unclassified Clostridiaceae) and F10 (Bacteroidetes YRC22), rarely noticeable at lactation and nursery stages, emerged rapidly and became the dominant taxa at the growing and finishing stages. The sequence and taxonomy of these features are listed in Table 1. Our study has several contributions to the effort of identifying a core microbiome. We used ASVs (amplicon sequence variants) or ESVs (exact sequence variants) to define bacterial features that differed with a single nucleotide. This approach enables cross-study comparisons to determine whether the same bacterial features are shared among different studies.[33] For core microbiome studies, our data show that it is important to take into account the stage-specific bacterial taxa. For example, the finishing-stage bacteria (e.g. F4) might be missed in the “core” gut microbiome if only nursery-stage samples were used for comparison.

Swine probiotics development: does one size fit all?

Due to pressures from a public health standpoint, many countries have banned the use of antibiotics for growth promotion in animals. Alternatives to antibiotics are critical to improve animal health and growth performance in the swine industry. Probiotics serve as an important alternative to sub-therapeutic antibiotics.[34] As a first step in developing probiotics, we performed a regression-based random forest analysis to identify potentially beneficial bacteria that correlate with growth performance at each growth stage and at the end of the test trials. Apparently, different sets of bacteria associated with growth performance were observed from each stage. In a validation trial, we inoculated 12 post-weaning pigs with fecal samples from a healthy pig at growing stage. Fecal microbiota transplantation (FMT) improved the growth performance of the recipient pigs. Although not statistically significant likely due to the small sample size (n = 12), FMT did increase the body weight of recipient pigs by 4.9 kg on average compared to their litter mates at the end of the validation trial. The fecal sample from the donor is representative of the mature pigs from growing stages regarding the microbiome composition and structure.[12] FMT didn’t change the overall gut microbiome structure of the recipients, however, it did enrich several groups of bacterial taxa. Random forest identified these stage-associated bacteria that were enriched in the FMT group and correlated with growth performance in the validation trial. A comparison of the test and validation trial identified shared bacterial features that might serve as potentially beneficial bacteria promoting animal growth performance (Table 2).
Table 2.

Stage-specific potentially beneficial bacteria shared by the two animal trials.

LactationNurseryGrowingFinishingOverall
F77F222F100F26F55
F363F604F73F19F4
F182F7F40F27F27
F876F233 F333F75
F162F339 F100F19
F1F336 F61F26
F166F301 F394F234
F502F454 F134F18
F21   F336
F53   F165
F247   F127
    F103
    F377
    F196
    F433
    F231
    F376
    F100
    F17
    F330
    F307
Stage-specific potentially beneficial bacteria shared by the two animal trials. Figure 3 shows the relative abundance of these bacteria in the pigs of the control and the FMT group in the validation trial. Bacterial features associated with Bulleidia (F336) and Lacobacillus mucosae (F454) were more abundant in the FMT group with greater growth performance at the nursery stage, whereas features affiliated with Acidaminococcus (F100) and Prevotella (F73) were over represented in the FMT group at the late nursery and growing stages. Members of Turicibacter (F26), more abundant in the FMT group, didn’t emerge until the finishing stage. Of note, features associated with growth performance, calculated based on the final body weight, were mainly late colonizers of the swine gut. For example, F4 and F18, which were more abundant in the FMT group, started appearing in the gut at the growing stages. Our data show different sets of potentially beneficial bacteria associated with superior phenotypes with a stage-specific pattern. We propose that a mix of probiotics tailored to growth stages of pigs, rather than to a single bacterial strain, should be developed to optimize their beneficial effects on swine health and production.
Figure 3.

Stage-associated potentially beneficial bacteria in the control and fecal microbiota transplantation (FMT) pigs. FMT remarkably improved swine growth performance. Bacterial features identified by random forest that positively correlate with growth performance were more abundant in the FMT group.

Stage-associated potentially beneficial bacteria in the control and fecal microbiota transplantation (FMT) pigs. FMT remarkably improved swine growth performance. Bacterial features identified by random forest that positively correlate with growth performance were more abundant in the FMT group.

Foodborne pathogens: the best window for intervention

Pork, the most consumed meat worldwide, is a major source of foodborne pathogens, which are a major cause of human morbidity and mortality every year.[35] Most of the studies in the food safety area focus on the post-harvest section of the swine industry with very limited information about the live animals on farm during the pre-harvest season. In fact, live pigs are not only the source of foodborne pathogens, which are passed along to the post-harvest supply chain, they also shed these pathogens on the farms, thus exposing farm workers as well.[36] Therefore, understanding the dynamics of these pathogens on farm provides information on the best window and strategy to manage these pathogens. Campylobacter is one of the major foodborne pathogens in the swine industry.[35] Our longitudinal study shows the relative abundance and dynamics of 13 bacterial features associated with Campylobacter and one bacterial feature associated with E. coli (Figure 4). E. coli was abundant during the lactation stage and faded out after weaning. Different features of Campylobacter showed different dynamic patterns. Future study is needed to track the dynamics of these pathogens in the whole pork supply chain to determine which features are transmitted from farm to fork so that a treatment window based on this essential information could be determined.
Figure 4.

The dynamics of foodborne pathogens (members of Campylobacter and E. coli) in pigs during the pre-harvest section of the pork supply chain.

The dynamics of foodborne pathogens (members of Campylobacter and E. coli) in pigs during the pre-harvest section of the pork supply chain.

Conclusions

In conclusion, this longitudinal characterization of the swine gut microbiome provides the foundation for translational research aiming to improve animal health and production. This study not only contributes to our understanding of many key biological and ecological concepts, but also identified potentially beneficial bacteria and pathogens. Characterization of the growth-stage-associated swine gut microbiome emphasizes the importance of optimization of probiotics based on different stages. It also provides insights on the best window to manage foodborne pathogens during the pre-harvest season of the swine industry. We also advocate for standard protocols in swine gut microbiome studies (e.g. sample collection, DNA extraction) to improve reproducibility and cross-study comparability for translational research investigations.

Materials and methods

All the animals and sequencing data were from our previous study[12]. No additional pigs or sequences were included. Sequence process and analysis were performed as described previously[12]. The biplot in Figure 1 was generated by the corr.axes function (setting: method = spearman; numases = 2) in mothur software package (v.1.40.5).[37] Boxplots (Figures 2 and 3) and stacked barchart (Figure 4) were generated by the ggplot2 package of R.
  35 in total

1.  Getting to the core of the gut microbiome.

Authors:  Matthias H Tschöp; Philip Hugenholtz; Christopher L Karp
Journal:  Nat Biotechnol       Date:  2009-04       Impact factor: 54.908

2.  Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities.

Authors:  Patrick D Schloss; Sarah L Westcott; Thomas Ryabin; Justine R Hall; Martin Hartmann; Emily B Hollister; Ryan A Lesniewski; Brian B Oakley; Donovan H Parks; Courtney J Robinson; Jason W Sahl; Blaz Stres; Gerhard G Thallinger; David J Van Horn; Carolyn F Weber
Journal:  Appl Environ Microbiol       Date:  2009-10-02       Impact factor: 4.792

3.  Decade-long bacterial community dynamics in cystic fibrosis airways.

Authors:  Jiangchao Zhao; Patrick D Schloss; Linda M Kalikin; Lisa A Carmody; Bridget K Foster; Joseph F Petrosino; James D Cavalcoli; Donald R VanDevanter; Susan Murray; Jun Z Li; Vincent B Young; John J LiPuma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-26       Impact factor: 11.205

Review 4.  The impact of the gut microbiota on human health: an integrative view.

Authors:  Jose C Clemente; Luke K Ursell; Laura Wegener Parfrey; Rob Knight
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

5.  Human gut microbiome viewed across age and geography.

Authors:  Tanya Yatsunenko; Federico E Rey; Mark J Manary; Indi Trehan; Maria Gloria Dominguez-Bello; Monica Contreras; Magda Magris; Glida Hidalgo; Robert N Baldassano; Andrey P Anokhin; Andrew C Heath; Barbara Warner; Jens Reeder; Justin Kuczynski; J Gregory Caporaso; Catherine A Lozupone; Christian Lauber; Jose Carlos Clemente; Dan Knights; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2012-05-09       Impact factor: 49.962

6.  A communal catalogue reveals Earth's multiscale microbial diversity.

Authors:  Luke R Thompson; Jon G Sanders; Daniel McDonald; Amnon Amir; Joshua Ladau; Kenneth J Locey; Robert J Prill; Anupriya Tripathi; Sean M Gibbons; Gail Ackermann; Jose A Navas-Molina; Stefan Janssen; Evguenia Kopylova; Yoshiki Vázquez-Baeza; Antonio González; James T Morton; Siavash Mirarab; Zhenjiang Zech Xu; Lingjing Jiang; Mohamed F Haroon; Jad Kanbar; Qiyun Zhu; Se Jin Song; Tomasz Kosciolek; Nicholas A Bokulich; Joshua Lefler; Colin J Brislawn; Gregory Humphrey; Sarah M Owens; Jarrad Hampton-Marcell; Donna Berg-Lyons; Valerie McKenzie; Noah Fierer; Jed A Fuhrman; Aaron Clauset; Rick L Stevens; Ashley Shade; Katherine S Pollard; Kelly D Goodwin; Janet K Jansson; Jack A Gilbert; Rob Knight
Journal:  Nature       Date:  2017-11-01       Impact factor: 49.962

7.  Isolated Rearing at Lactation Increases Gut Microbial Diversity and Post-weaning Performance in Pigs.

Authors:  Tsungcheng Tsai; Marites A Sales; Haejin Kim; Gisela F Erf; Nguyen Vo; Franck Carbonero; Marie van der Merwe; Elizabeth B Kegley; Randy Buddington; Xiaofan Wang; Charles V Maxwell; Jiangchao Zhao
Journal:  Front Microbiol       Date:  2018-11-29       Impact factor: 5.640

8.  A core gut microbiome in obese and lean twins.

Authors:  Peter J Turnbaugh; Micah Hamady; Tanya Yatsunenko; Brandi L Cantarel; Alexis Duncan; Ruth E Ley; Mitchell L Sogin; William J Jones; Bruce A Roe; Jason P Affourtit; Michael Egholm; Bernard Henrissat; Andrew C Heath; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2008-11-30       Impact factor: 49.962

9.  Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies.

Authors:  Se Jin Song; Amnon Amir; Jessica L Metcalf; Katherine R Amato; Zhenjiang Zech Xu; Greg Humphrey; Rob Knight
Journal:  mSystems       Date:  2016-05-03       Impact factor: 6.496

10.  ZnO Modulates Swine Gut Microbiota and Improves Growth Performance of Nursery Pigs When Combined with Peptide Cocktail.

Authors:  Xiaoyuan Wei; Tsungcheng Tsai; Joshua Knapp; Kristopher Bottoms; Feilong Deng; Robert Story; Charles Maxwell; Jiangchao Zhao
Journal:  Microorganisms       Date:  2020-01-21
View more
  15 in total

Review 1.  Microbial invasions in sludge anaerobic digesters.

Authors:  Nuria Fernandez-Gonzalez; G H R Braz; L Regueiro; J M Lema; M Carballa
Journal:  Appl Microbiol Biotechnol       Date:  2020-11-18       Impact factor: 4.813

2.  Exploring methods to summarize gut microbiota composition for microbiability estimation and phenotypic prediction in swine.

Authors:  Yuqing He; Francesco Tiezzi; Jicai Jiang; Jeremy Howard; Yijian Huang; Kent Gray; Jung-Woo Choi; Christian Maltecca
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

3.  Dynamic Distribution of Gut Microbiota in Pigs at Different Growth Stages: Composition and Contribution.

Authors:  Yuheng Luo; Wen Ren; Hauke Smidt; André-Denis G Wright; Bing Yu; Ghislain Schyns; Ursula M McCormack; Aaron J Cowieson; Jie Yu; Jun He; Hui Yan; Jinlong Wu; Roderick I Mackie; Daiwen Chen
Journal:  Microbiol Spectr       Date:  2022-05-18

4.  Use of Host Feeding Behavior and Gut Microbiome Data in Estimating Variance Components and Predicting Growth and Body Composition Traits in Swine.

Authors:  Yuqing He; Francesco Tiezzi; Jicai Jiang; Jeremy T Howard; Yijian Huang; Kent Gray; Jung-Woo Choi; Christian Maltecca
Journal:  Genes (Basel)       Date:  2022-04-26       Impact factor: 4.141

5.  Dietary Organic Acids Modulate Gut Microbiota and Improve Growth Performance of Nursery Pigs.

Authors:  Xiaoyuan Wei; Kristopher A Bottoms; Hans H Stein; Laia Blavi; Casey L Bradley; Jon Bergstrom; Joshua Knapp; Robert Story; Charles Maxwell; Tsungcheng Tsai; Jiangchao Zhao
Journal:  Microorganisms       Date:  2021-01-05

6.  Effect of Supplementing Seaweed Extracts to Pigs until d35 Post-Weaning on Performance and Aspects of Intestinal Health.

Authors:  Stafford Vigors; John O'Doherty; Ruth Rattigan; Torres Sweeney
Journal:  Mar Drugs       Date:  2021-03-26       Impact factor: 5.118

7.  Effect of Lactylate and Bacillus subtilis on Growth Performance, Peripheral Blood Cell Profile, and Gut Microbiota of Nursery Pigs.

Authors:  Xiaofan Wang; Tsungcheng Tsai; Xiaoyuan Wei; Bin Zuo; Ellen Davis; Tom Rehberger; Samantha Hernandez; Evelien J M Jochems; Charles V Maxwell; Jiangchao Zhao
Journal:  Microorganisms       Date:  2021-04-10

8.  Probiotics mediated gut microbiota diversity shifts are associated with reduction in histopathology and shedding of Lawsonia intracellularis.

Authors:  Adrian Muwonge; Anbu K Karuppannan; Tanja Opriessnig
Journal:  Anim Microbiome       Date:  2021-03-04

9.  Exploring the role of gut microbiota in host feeding behavior among breeds in swine.

Authors:  Yuqing He; Francesco Tiezzi; Jeremy Howard; Yijian Huang; Kent Gray; Christian Maltecca
Journal:  BMC Microbiol       Date:  2022-01-03       Impact factor: 3.605

10.  Baicalin-Zinc Complex Alleviates Inflammatory Responses and Hormone Profiles by Microbiome in Deoxynivalenol Induced Piglets.

Authors:  Andong Zha; Ruiqi Tu; Zhijuan Cui; Ming Qi; Simeng Liao; Jing Wang; Bie Tan; Peng Liao
Journal:  Front Nutr       Date:  2021-10-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.