J. Anim Sci.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J. Anim Sci. 2009. 87:984-993. doi:10.2527/jas.2007-0747
© 2009 American Society of Animal Science

OPEN ACCESS ARTICLE
This Article
Free Via Open Access
Right arrow Abstract
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
jas.2007-0747v1
87/3/984    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bhandari, S. K.
Right arrow Articles by Krause, D. O.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bhandari, S. K.
Right arrow Articles by Krause, D. O.

ANIMAL NUTRITION

Raw potato starch in weaned pig diets and its influence on postweaning scours and the molecular microbial ecology of the digestive tract1

S. K. Bhandari*, C. M. Nyachoti* and D. O. Krause*,{dagger},2

* Department of Animal Science, University of Manitoba, Winnipeg, Manitoba R3T 2N2 Canada; and {dagger} Department of Medical Microbiology, University of Manitoba, Winnipeg, Manitoba R3T 2N2 Canada


    Abstract
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
We evaluated the effect of raw potato starch (RPS) on growth performance, postweaning diarrhea, and gastrointestinal microbial populations in weaned piglets. Eighty-four piglets were weaned at 17 ± 2 d of age with an average BW of 6.0 ± 0.9 kg. Pigs were blocked by BW and assigned to 1 of 4 diets in a randomized complete block design with 7 replicate pens per diet and 3 pigs per pen. Treatments were 1) a positive control (PC) containing an antibiotic, 2) a negative control (NC) with no RPS and no antibiotic, 3) NC + 7% RPS (7% RPS), and 4) NC + 14% RPS (14% RPS). Diets were corn-wheat-soybean meal-based and formulated to meet NRC (1998)Go recommendations. The ADG, ADFI, and G:F ratio were determined weekly. Fecal consistency (FC) scoring was determined daily. After wk 3, 1 pig with a BW closest to the pen mean was killed to evaluate ileal and colonic mucosal-attached Escherichia coli and lactic acid bacteria, as well as digesta pH, VFA, and ammonia N concentrations. The DNA was extracted from ileum and colon digesta and used for molecular microbial evaluations using terminal-RFLP analysis of 16S rDNA genes. The ADG for wk 1 was greater (P < 0.01) for the PC diet, but diet had no effect on ADG during wk 3. The ADFI did not differ among treatments during the first 2 wk, and ADFI was least for 7% RPS diet during wk 3. The NC diet had a greater (P < 0.05) FC score during wk 1 than other treatments, but diet had no effect on FC score during wk 2 and 3. Diets had no effect on the colon lactic acid bacterial counts; however, the PC diet had decreased (P < 0.05) colon E. coli counts than other treatments. Ileum and colon digesta pH and total VFA concentrations did not differ among treatments. Pigs fed with 7 and 14% RPS diets had greater (P < 0.05) ileum ammonia N concentration compared with pigs fed with other diets. There was more diarrhea (P < 0.05) in the 14% than the 7% RPS and control treatments at d 21. This difference correlated with a decline (P < 0.05) in microbial diversity in the colon. We concluded that 7% RPS can be used to prevent postweaning diarrhea in weaned piglets, but there are no effects on growth performance.

Key Words: antibiotic • diarrhea • Escherichia coli • microbial ecology • raw potato starch


    INTRODUCTION
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
Weaned pigs often develop diarrhea from microbial infections or nutritional imbalances. Pigs become dehydrated, lose BW, and are generally morbid, and the most effective way of preventing the problem is by including subtherapeutic antibiotics in the feed. The emergence of antibiotic-resistant bacteria in human medicine and the potential relationship between sub-therapeutic inclusions of in-feed antibiotics has resulted in pressure to remove antibiotics from swine diets (Stein and Kil, 2006Go). However, the removal of feed antibiotics can lead to an increase in the use of therapeutic antibiotics in swine production because of an increase in digestive and respiratory infections (Bengtsson and Wierup, 2006Go; Jensen, 2006Go). Thus, simply removing antibiotics from feed is not sufficient, and feed additives that have antimicrobial activity, but are not antibiotics, are needed (Pettigrew, 2006Go).

One alternative is the use of prebiotics like resistant starch (RS; Englyst et al., 1992Go). Resistant starch refers to starch, plus its digestion products that are not absorbed in the small intestine and pass to the large bowel and beneficially modify gut microbial populations (Englyst et al., 1992Go). Resistant starch is categorized into (a) physically inaccessible starches (RS1), (b) resistant granules (RS2), (c) retrograde starch (RS3), and (d) chemically modified starch (RS4). In this study, we evaluated the effects of raw potato starch (RPS; RS2 resistant starch) in weaned pigs and its potential to prevent diarrhea. We also evaluated the effects of RPS on gut microbial populations using terminal-RFLP analysis (T-RFLP) of bacterial 16S rDNA genes.


    MATERIALS AND METHODS
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
The experimental protocol was reviewed and approved by the University of Manitoba Animal Care Committee. Pigs were cared for according to the guidelines of the Canadian Council on Animal Care (CCAC, 1993Go).

Animals, Housing, and Experimental Design

A total of 84 piglets weaned at 17 ± 1 d were obtained from the Glenlea swine research farm of the University of Manitoba and assigned to treatments in a randomized complete block design. Pigs were weighed and assigned to outcome groups on the basis of BW and sex, and randomly allocated to 4 treatments, consisting of 3 pigs per pen, and 7 replicates. Each pen had a plastic-covered expanded metal floor, a stainless-steel feeder, and a low-pressure nipple drinker. Pigs had unlimited access to feed and water throughout the 3-wk study. Body weight and feed disappearance were monitored weekly, and the results were used to calculate ADG, ADFI, and G:F. Room temperature was maintained at 29 ± 1°C throughout the study.

Experimental Diets

Diets included 1) a positive control containing an antibiotic (Aureo SP250, Alpharma Inc., Fort Lee, NJ; PC); 2) a negative control containing no RPS or antibiotics (NC); 3) negative control + 7% RPS (7% RPS); and 4) a negative control + 14% RPS (14% RPS). All diets contained 10% pea protein isolate (PPI), which was included as a nutritional stress treatment to induce diarrhea (Owusu-Asiedu et al., 2003aGo,bGo). Experimental diets were based on corn, wheat, and soybean meal and formulated to meet NRC (1998)Go nutrient requirements for piglets weighing 7 to 12 kg (Table 1Go). Diets were mixed 1 wk before the start of the experiment using the same batch of ingredients. Diets were provided ad libitum in a mash form. The severity of diarrhea was measured using a fecal consistency (FC) scoring system (Marquardt et al., 1999Go). Fecal consistency scoring (0, normal; 1, soft feces; 2, mild diarrhea; 3, severe diarrhea) was performed in a blinded fashion by 2 individuals trained to differentiate among feces type. The presence of blood in feces was checked daily.


View this table:
[in this window]
[in a new window]

 
Table 1. Composition and nutrient analysis of experimental diets1 (as-fed basis)
 
Tissue and Digesta Sampling

At the end of the study, the pig with a BW closest to the mean pen BW was held under general anesthesia and killed by an intracardiac injection of sodium pentobarbital (50 mg/kg BW). Following euthanasia the abdominal cavity was opened from sternum to pubis to expose the gastrointestinal tract without damaging the wall of the digestive tract. The stomach, small intestine, and large intestine were weighed with and without digesta to determine digesta and empty weights, respectively. The liver was also weighed. The small intestine was stripped free of its mesentery and further divided into 3 sections: 1) the ileum from the ileal-cecal junction to 80-cm anterior to this junction; 2) the duodenum, 80 cm posterior to the gastro-duodenal sphincter; and 3) the jejunum constituted the regions between the ileum and duodenum (Adeola and King, 2006Go).

Digesta samples were taken from the ileum and colon (proximal) for measurement of pH, VFA, and ammonia N concentrations. The pH was determined immediately using a pH meter (AB 15, Fisher Scientific, Pittsburgh, PA), and subsamples (approximately 5 g) from each gut segment were mixed with 5 mL of 0.1 M HCl to stop microbial activity and stored at –25°C until analyzed for VFA and lactic acid, using gas chromatography as described by Erwin et al. (1961)Go. Ammonia N concentration was measured using the indole phenol-blue method (Novozamsky et al., 1974Go). Starch concentration in the ileum and colon were measured and expressed as % DM (AOAC, 2005Go).

Enumerations of Adherent Bacteria

Tissues were weighed (10 g), washed vigorously with sterile physiological saline to remove nonattached bacteria, and a blunt knife was used to scrape off the epithelial tissue, which was weighed and subsequently diluted 10-fold with PBS, homogenized, and decimally diluted. Ten-microliter droplets were pipetted onto chromogenic Escherichia coli/Coliform media (EMB, Oxoid, Nepean, Ontario, Canada) and de Man, Rogosa, and Sharpe media (MRS; Fisher Scientific, Ottawa, Ontario, Canada; 10–1 to 10–9 dilutions) allowed to dry, and then inverted and incubated aerobically at 39 ± 1°C for 24 to 36 h. The numbers of E. coli and lactic acid bacteria were expressed as colony-forming units/gram of mucosa.

Molecular-Based Analysis

The DNA was extracted from the ileum and colon contents using the ZR-DNA fecal Kit (Zymo Research, Orange, CA) as per manufacturer protocol. To check for DNA concentration, a sample was run on a 1% agarose gel to determine if a high molecular weight band indicative of intact chromosomal DNA was visible. The DNA was measured spectrophotometrically at 260 nm, and all samples were diluted to an equal concentration of 100 µg•mL–1 DNA. Terminal-RFLP analysis was used to assess the changes in microbial composition in the gut (Abdo et al., 2006Go). Primers 27f (5'-GAAGAGTTTGATCATGGCTCAG-3') and 1100r (5' CTGCTGCCTCCCGTAG 3') were used to amplify an informative sequence of the 16S rDNA gene (Lane, 1991Go). The forward primer was fluorescently labeled (WellRED D4dye, Sigma-Proligo, St. Louis, MO) to allow detection of the fragments by capillary electrophoresis. The PCR reactions were as follows: 1 cycle of 94°C for 5 min, then 36 cycles at 94°C for 1 min; 56°C for 1 min; 72°C for 2 min; and a final extension at 72°C for 5 min. To produce terminal restriction fragments (T-RF), the 27 to 1100 region of 16S DNA was digested using HhaI (10 µL of PCR product, 10 units of HhaI, 1X HhaI buffer, and 20 µg of bovine serum). The mixture was adjusted to a final volume of 20 µL with MilliQ water and the DNA was digested at 37°C for 3 h. The precise length of T-RF amplicons were determined on a CEQ 8800 Genetic Analysis System (Beckman Coulter Inc., Fullerton, CA). Six microliters of fluorescently labeled fragments, 26 µL sample loading solution, and 0.5 µL of a DNA size standard (600 bp for T-RFLP) were mixed and separated.

Bioinformatic Analysis of T-RFLP Data

Microbial community analysis (MiCA, version 3; Department of Biological Sciences, University of Idaho; http://mica.ibest.uidaho.edu/) Web services were used to build a putative reference database of probable T-RF of the gut. For this purpose we incorporated 16S rDNA clone libraries of near complete sequences of gut microorganisms found in human (Eckburg et al., 2005Go), swine (Leser et al., 2002Go), mouse (Ley et al., 2005Go), and ruminants (Nelson et al., 2003Go; Ozutsumi et al., 2005Go) into MiCA, which we called the H.Q. database. This greatly facilitated analysis by excluding the T-RF that are unlikely to occur in the gut, because in general only 8 out of 26 recognized phyla and no candidate phyla of note have been found in the digestive tract (Leser et al., 2002Go; Rappe and Giovannoni, 2003Go; Eckburg et al., 2005Go; Ley et al., 2005Go). The fragment profiles produced by HhaI restriction of the 27 to 1100 product were applied to the H.Q. database in silico so that a reference library for our study could be constructed and exported to the phylogenetic assignment tool (Kent et al., 2003Go). Concurrently, using T-RFLP data obtained from CEQ software (fragment sizes and peak areas), various profiles of interest were developed with reference to treatment. These libraries were entered into the hierarchical browser of the ribosomal database project (RDP-II, Cole et al., 2005Go) and converted to GenBank format. The resulting libraries were assigned to the library compare tool of RDP-II. The T-RF of the same size were in many cases ambiguous in their assignment of taxonomic rank (Sepehri et al., 2007Go). To resolve this problem the T-RF with multiple accession numbers were assigned to a taxonomic rank according to phylum, class, order, and family. Data were analyzed using Fisher’s exact test (SAS Inst. Inc., Cary, NC).

Richness and Diversity Indices

A diversity index is a mathematical measure of species diversity in a community. Diversity indices provide information about community composition and take the relative abundances of different species into account. The concept of diversity has 2 facets: richness or the number of taxonomic units, and evenness, or equality in the abundances of each taxonomic units. Incidence-based richness indicators, Chao2, ICE (incidence-based coverage estimator) and MMMean (Michaelis-Menten mean) function, along with Shannon and Simpson diversity indices, were calculated using EstimateS 7.5 (Colwell, 2005Go). Several estimators were selected because if indices follow the same trend regardless of the calculation method, the results are likely to be robust. An upper abundance limit of 5 was used to determine rare or infrequent species. The order of the samples was randomized 500 times for each run to reduce the effect of sample order. Tukey’s multiple comparison test (SAS Inst. Inc.) was applied to detect significant differences among experimental groups.

Chemical Analysis

Dietary CP was analyzed using a Leco NS 2000 Nitrogen Analyzer (Leco Corporation, St. Joseph, MI). Gross energy was measured using a Parr adiabatic oxygen bomb calorimeter (Parr Instrument Co., Moline, IL).

Calculations and Statistical Analysis

The ADFI was calculated as [(total feed added – feed weighed back)/({sum}pidi)], where pi and di are individual pigs and number of days in the pen, respectively. Mucosal-attached lactic acid bacteria and E. coli populations were expressed as colony-forming units per gram of intestinal mucosa. Data were analyzed as a completely randomized design using the MIXED procedures (SAS Inst. Inc.). Pen was considered the experimental unit for all response criteria measured. When a significant F-value (P < 0.05) for treatment means was observed in ANOVA, treatments were compared using Tukey’s test. A LSD multiple comparison test was used to calculate the statistical significance (P < 0.05) for the phylogenetic lineage done in molecular analysis.


    RESULTS
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
Diet Formulation and Nutrient Analysis

The calculated and analyzed nutrient composition of the experimental diets is shown in Table 1Go. Diets did not differ in their chemical composition. The analyzed nutrient composition of all diets were greater than the calculated nutrient composition but met the NRC nutrient requirements (NRC, 1998Go; Table 1Go).

Piglet Performance and Fecal Score

The initial BW of the piglets did not differ among dietary treatments (Table 2Go). Average daily gain was greatest for the PC diet (P < 0.01), and the final BW of the PC-fed pigs was greater (P < 0.01) than pigs fed the other diets (Table 2Go). Average daily feed intake did not differ during the first 2 wk of the study, but in the third week pigs fed the 7% diet consumed less feed (P < 0.01) compared with the other dietary treatments (Table 2Go). Overall, the PC and 14% RPS fed pigs consumed more feed (P < 0.05) than pigs fed the 7% RPS diet (Table 2Go). Overall, the G:F was greatest (P < 0.05) for the pigs fed the PC and 7% RPS diets, and least with the 14% RPS diet (Table 2Go).


View this table:
[in this window]
[in a new window]

 
Table 2. Performance and fecal score of early weaned pigs fed different experimental diets1
 
The fecal consistency score data are shown in Table 2Go. The fecal score was greater (P < 0.05) for the NC diet compared with all other treatments during wk 1 of the study, but there were no differences in wk 2 and 3. When averaged among all 3 wk, the PC and 7% RPS diet-fed pigs had superior (lower; P < 0.05) fecal scores compared with the NC and 14% RPS fed pigs.

Organ Weights

Dietary treatments had no effect on empty or full weights of the gastric stomach, duodenum, jejunum, ileum, or the liver (data not shown).

Digesta pH, Ammonia N, VFA, Lactic Acid, and Starch Concentration

Dietary treatments had no effect on ileal digesta VFA concentrations, but the ileal lactic acid concentration was greater (P < 0.05) for the 14% RPS diet. The colon VFA concentrations were not different across treatments except for valeric acid, which was greatest (P < 0.05) for the 14% RPS diet (Table 3Go). The ileum and colon digesta pH were not affected by dietary treatments (Table 3Go). Diets containing RPS had greater (P < 0.05) ileum digesta ammonia N concentrations than diets without RPS; however, the dietary treatments had no effect on the colon digesta ammonia N concentrations (Table 3Go). Starch content of the ileum was least (P < 0.05) for the PC fed pigs, but was almost 4-fold greater (P < 0.05) for the 14% RPS fed pigs. In contrast, the starch content of the colon was least (P < 0.05) for the 14% RPS fed pigs (Table 3Go).


View this table:
[in this window]
[in a new window]

 
Table 3. Ileal and colon VFA, digesta pH, ammonia N, and starch concentrations in early weaned pigs fed different experimental diets1
 
Mucosal-Associated E. coli and Lactic Acid Bacteria on Colonic Mucosa

The colonic mucosal microbial data indicated that dietary treatment had no effect (P < 0.05) on the lactic acid bacterial counts or the ratio of lactic acid bacteria to E. coli (Table 4Go). However, the NC diet resulted in greater (P < 0.05) numbers of colonic E. coli compared with PC diet.


View this table:
[in this window]
[in a new window]

 
Table 4. Escherichia coli and lactic acid bacterial (LAB) counts from colon mucosa1 of early weaned pigs fed different experimental diets2
 
Molecular Microbial Analysis

Changes in microbial composition were less pronounced in the ileum (Table 5Go) than colon (Table 6Go). In the ileum there were changes (P < 0.05) in the orders Clostridiales and unclassified Clostridiales (Table 5Go). In contrast, in the colon there were also changes (P < 0.05) in microbiota composition in the phyla Bacteroidedets, Firmicutes, and Proteobacteria (Table 6Go). Richness and diversity difference in the colon was reflective of the changes in the phyla Bacteroidedets, Firmicutes, and Proteobacteria, but not in the ileum (Table 7Go).


View this table:
[in this window]
[in a new window]

 
Table 5. Terminal-RFLP-based hierarchical microbial composition of ileum digesta of early weaned pigs fed different experimental diets1
 

View this table:
[in this window]
[in a new window]

 
Table 6. Terminal-RFLP-based hierarchical microbial composition of colon digesta of early weaned pigs fed different experimental diets1
 

View this table:
[in this window]
[in a new window]

 
Table 7. Effect on richness and diversity indices of ileum and colon digesta in early weaned pigs fed different experimental diets1
 

    DISCUSSION
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
The purpose of this experiment was to determine whether the addition of RPS to weanling piglet diets without the inclusion of antibiotics would reduce the effects of postweaning diarrhea. Our results indicate that RPS alone does not replace the growth-enhancing effects of subtherapeutic antibiotics, but has some value in reducing scours in the absence of feed medication. The antibiotic containing diet (PC) provided the best piglet growth, but based on the growth efficiency data, inclusion of 7% RPS without the addition of feed antibiotics provides performance comparable with that of the PC.

Kerr et al. (1998)Go demonstrated that nursery pigs fed 7 or 14% RPS (medicated diets) did not exhibit improved performance compared with the controls at 35 d postweaning. They also observed an increase in feed intake at the greater RPS concentration, but this did not translate into an improvement in gain or efficiency. Scouring was not measured in their study (Kerr et al., 1998Go). Callesen et al. (2007)Go demonstrated that pigs fed diets containing 7.39% potato starch without the inclusion of antibiotics tended to result in better performance and reduced scours. However, the potato starch pigs also received more treatments of therapeutic antibiotics. We demonstrated that the inclusion of RPS at 7% reduced scouring, but at 14% the effects were negative.

The negative effects of RPS can potentially be related to the observation that when 14% RPS was included in the diet, there was a large amount of undigested starch in the ileum, but little undigested starch was present in the colon in comparison with the other treatments. The reasons for the high starch content in the ileum, but low concentrations in the colon are unclear, but suggest that the greater concentration of dietary starch is impairing digestion. In contrast, when 7% RPS was included the amounts of starch in the ileum were greater than the PC but in the colon were less than the PC. The differences in gut starch content are not likely the result of fermentation by gut microbiota because total VFA production did not differ among treatments in the ileum or colon.

In a recent experiment (Rideout et al., 2008Go), 30-kg of BW pigs were fed diets formulated with granular potato starch and compared with diets formulated with conventional ingredients. The potato starch-containing diet resulted in greater (P < 0.05) concentrations of starch in the ileum, but not in the feces. Potato starch decreased (P < 0.05) total apparent tract CP digestibility, and there were no differences in total VFA measured in the cecum, but butyrate did increase. Mentschel and Claus (2003)Go also demonstrated an increase in butyric acid in pigs fed raw potato starch. However, we showed no changes in butyric acid concentration; however, this may be a function of the age of the pigs.

Culture-independent analysis of 16S rDNA from ileal and colonic contents with T-RFLP demonstrated that the only significant differences in the ileum occurred with the clostridia, but in the colon signficant differences were far more widespread. Using culture-based methods, Kleessen et al. (1997)Go fed rats a diet consisting of 10% raw or retrograded potato starch from 8 d until 5 mo of age and enumerated populations of bacteria. They observed decreased (P < 0.05) fecal numbers of Bacteroides, Lactobacillus, Streptococcus, and Enterococcus in the raw as compared with the retrograded potato starch, but these effects were not observed until 5 mo of age and may have been associated with changes of microbiota associated with age. Bird et al. (2007)Go observed greater numbers of lactobacilli, and bifidobacteria in the colon of pigs fed high-amylose resistant starch. A similar result was observed for feces. Wang et al. (2002)Go also observed increases in lactobacilli and bifidobacteria in the colon.

We observed increased lactobacilli prevalence in the colon when RPS was included in the diet, but because we were using culture-independent methods a much wider range of bacteria could be assessed. Increased numbers of lactic acid bacteria were not observed in our study with culture-based methods. In the colon there was a significantly greater prevalence of lactobacilli in the RPS diets, but not in the ileum. We also observed increased prevalence of Bacteroides, which correlates with the increased numbers of Bacteroides in the colon observed by Kleessen et al. (1997)Go. Kleessen et al. (1997)Go also observed high numbers of Streptococcus, and Enterococcus that would have fallen within the larger bacterial taxonomic order of bacilli (Cole et al., 2005Go) as described in our study.

The occurrence of scours in the 14% RPS diet correlated strongly with the decline in richness and diversity of microbial species in the colon. In our own studies (Sepehri et al., 2007Go; Bhandari et al., 2008Go) a decline in microbial species richness and diversity was associated with digestive abnormalities. Evidence is accumulating that in many situations a reduction in ecosystem diversity is associated with instability (Kassen and Rainey, 2004Go; Lozupone and Knight, 2007Go; Mes, 2008Go). In microbial ecosystems theory still lags behind that of macro ecosystems, and diversity studies in the pig gut may be an important new tool to predict and understand how diets affect gut health.


    Footnotes
 
1 This research was financially supported by the Manitoba Pork Council and Agri-Food Research and Development Initiative (ARDI) in the Province of Manitoba, Canada. The help of Robert Stuski (University of Manitoba) with animal care is gratefully acknowledged. Back

2 Corresponding author: denis_krause{at}manitoba.ca

Received for publication November 22, 2007. Accepted for publication October 13, 2008.


    LITERATURE CITED
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 


Abdo, Z., U. M. Schuette, S. J. Bent, C. J. Williams, L. J. Forney, and P. Joyce. 2006. Statistical methods for characterizing diversity of microbial communities by analysis of terminal restriction fragment length polymorphisms of 16S rRNA genes. Environ. Microbiol. 8:929–938.[CrossRef][Medline]

Adeola, O., and D. E. King. 2006. Developmental changes in morphometry of the small intestine and jejunal sucrase activity during the first nine weeks of postnatal growth in pigs. J. Anim. Sci. 84:112–118.[Abstract/Free Full Text]

AOAC. 2005. Official Methods of Analysis. 18th ed. Assoc. Off. Anal. Chem., Arlington, VA.

Bengtsson, B., and M. Wierup. 2006. Antimicrobial resistance in Scandinavia after ban of antimicrobial growth promoters. Anim. Biotechnol. 17:147–156.[CrossRef][Medline]

Bhandari, S., B. Xu, C. M. Nyachoti, D. W. Giesting, and D. O. Krause. 2008. Evaluation of alternatives to antibiotics using an Escherichia coli K88+ model of piglet diarrhea: Effect on gut microbial ecology. J. Anim. Sci. 86:836–847.[Abstract/Free Full Text]

Bird, A. R., M. Vuaran, I. Brown, and D. L. Topping. 2007. Two high-amylose maize starches with different amounts of resistant starch vary in their effects on fermentation, tissue and digesta mass accretion, and bacterial populations in the large bowel of pigs. Br. J. Nutr. 97:134–144.[CrossRef][Medline]

Callesen, J., D. Halasb, F. Thorupa, K. E. Bach Knudsen, J. C. Kimd, B. P. Mulland, D. J. Hampsonb, R. H. Wilsone, and J. R. Pluske. 2007. The effects of weaning age, diet composition, and categorization of creep feed intake by piglets on diarrhea and performance after weaning. Livest. Sci. 108:120–123.[CrossRef]

Canadian Council on Animal Care (CCAC). 1993. Guide to Care and Use of Experimental Animals. Vol. 1, 2nd ed. CCAC. Ottawa, ON.

Cole, J. R., B. Chai, R. J. Farris, Q. Wang, S. A. Kulam, D. M. McGarrell, G. M. Garrity, and J. M. Tiedje. 2005. The Ribosomal Database Project (RDP-II): Sequences and tools for high-throughput rRNA analysis. Nucleic Acids Res. 33:D294–D296.[Abstract/Free Full Text]

Colwell, R. K. 2005. EstimateS: Statistical estimation of species richness and shared species from samples. Version 7.5. http://purl.oclc.org/estimates Accessed Oct. 14, 2007.

Eckburg, P. B., E. M. Bik, C. N. Bernstein, E. Purdom, L. Dethlefsen, M. Sargent, S. R. Gill, K. E. Nelson, and D. A. Relman. 2005. Diversity of the human intestinal microbial flora. Science 308:1635–1638.[Abstract/Free Full Text]

Englyst, H. N., S. M. Kingman, and J. H. Cummings. 1992. Classification and measurement of nutritionally important starch fractions. Eur. J. Clin. Nutr. 46:S33–S50.

Erwin, E. S., G. J. Marco, and E. M. Emery. 1961. Volatile fatty acids analysis of blood and rumen fluid by gas chromatography. J. Dairy Sci. 44:1768–1771.[Abstract/Free Full Text]

Jensen, H. M. 2006. Health management with reduced antibiotic use—Experiences of a Danish pig vet. Anim. Biotechnol. 17:189–194.[CrossRef][Medline]

Kassen, R., and P. B. Rainey. 2004. The ecology and genetics of microbial diversity. Annu. Rev. Microbiol. 58:207–231.[CrossRef][Medline]

Kent, A. D., D. J. Smith, B. J. Benson, and E. W. Triplett. 2003. A web-based phylogenetic assignment tool for analysis of terminal restriction fragment length polymorphism profiles of microbial communities. Appl. Environ. Microbiol. 69:6768–6776.[Abstract/Free Full Text]

Kerr, C. A., R. D. Goodband, M. D. Tokach, J. L. Nelssen, S. S. Dritz, B. T. Richert, and J. R. Bergström. 1998. Evaluation of enzymatically modified potato starches in diets for weanling pigs. J. Anim. Sci. 76:2838–2844.[Abstract/Free Full Text]

Kleessen, B., G. Stoof, J. Proll, D. Schmiedl, J. Noack, and M. Blaut. 1997. Feeding resistant starch affects fecal and cecal microflora and short-chain fatty acids in rats. J. Anim. Sci. 75:2453–2462.[Abstract/Free Full Text]

Lane, D. J. 1991. 16S/23S rRNA sequencing, Pages 115–175 in Nucleic Acid Techniques in Bacterial Systematics. E. Stackebrandt and M. Goodfellow, ed. John Wiley and Sons, New York, NY.

Leser, T. D., J. Z. Amenuvor, T. K. Jensen, R. H. Lindecrona, M. Boye, and K. Moller. 2002. Culture-independent analysis of gut bacteria: The pig gastrointestinal tract microbiota revisited. Appl. Environ. Microbiol. 68:673–690.[Abstract/Free Full Text]

Ley, R. E., F. Backhed, P. Turnbaugh, C. A. Lozupone, R. D. Knight, and J. I. Gordon. 2005. Obesity alters gut microbial ecology. Proc. Natl. Acad. Sci. USA 102:11070–11075.[Abstract/Free Full Text]

Lozupone, C. A., and R. Knight. 2007. Global patterns in bacterial diversity. Proc. Natl. Acad. Sci. USA 104:11436–11440.[Abstract/Free Full Text]

Marquardt, R. R., L. Z. Jin, J. W. Kim, L. Fang, A. A. Frohlich, and S. K. Baidoo. 1999. Passive protective effect of egg-yolk antibodies against enterotoxigenic Escherichia coli K88+ infection in neonatal and early-weaned piglets. FEMS Immunol. Med. Microbiol. 23:283–288.[CrossRef][Medline]

Mentschel, J., and R. Claus. 2003. Increased butyrate formation in the pig colon by feeding raw potato starch leads to a reduction of colonocyte apoptosis and a shift to the stem cell compartment. Metabolism 52:1400–1405.[CrossRef][Medline]

Mes, T. H. 2008. Microbial diversity—Insights from population genetics. Environ. Microbiol. 10:251–264.[Medline]

Nelson, K. E., S. H. Zinder, I. Hance, P. Burr, D. Odongo, D. Wasawo, A. Odenyo, and R. Bishop. 2003. Phylogenetic analysis of the microbial populations in the wild herbivore gastrointestinal tract: insights into an unexplored niche. Environ. Microbiol. 5:1212–1220.[CrossRef][Medline]

Novozamsky, I., R. Van Eck, J. C. H. Showenburg, and F. Walinga. 1974. Total nitrogen determination in plant material by means of the indole-phenol blue method. Neth. J. Agric. Sci. 22:3–5.

NRC. 1998. Nutrient Requirements of Swine. 10th ed. Natl. Acad. Press, Washington, DC.

Owusu-Asiedu, A., C. M. Nyachoti, S. K. Baidoo, R. R. Marquardt, and X. Yang. 2003b. Response of early-weaned pigs to an enterotoxigenic Escherichia coli (K88) challenge when fed diets containing spray-dried porcine plasma or pea protein isolate plus egg yolk antibody. J. Anim. Sci. 81:1781–1789.[Abstract/Free Full Text]

Owusu-Asiedu, A., C. M. Nyachoti, and R. R. Marquardt. 2003a. Response of early-weaned pigs to an enterotoxigenic Escherichia coli (K88) challenge when fed diets containing spray-dried porcine plasma or pea protein isolate plus egg yolk antibody, zinc oxide, fumaric acid, or antibiotic. J. Anim. Sci. 81:1790–1798.[Abstract/Free Full Text]

Ozutsumi, Y., H. Hayashi, M. Sakamoto, H. Itabashi, and Y. Benno. 2005. Culture-independent analysis of fecal microbiota in cattle. Biosci. Biotechnol. Biochem. 69:1793–1797.[CrossRef][Medline]

Pettigrew, J. E. 2006. Reduced use of antibiotic growth promoters in diets fed to weanling pigs: Dietary tools, part 1. Anim. Biotechnol. 17:207–215.[CrossRef][Medline]

Rappe, M. S., and S. J. Giovannoni. 2003. The uncultured microbial majority. Annu. Rev. Microbiol. 57:369–394.[CrossRef][Medline]

Rideout, T. C., Q. Liu, P. Wood, and M. Z. Fan. 2008. Nutrient utilisation and intestinal fermentation are differentially affected by the consumption of resistant starch varieties and conventional fibres in pigs. Br. J. Nutr. 5:984–992.

Sepehri, S., R. Kotlowski, C. N. Bernstein, and D. O. Krause. 2007. Microbial diversity of inflamed and noninflamed gut biopsy tissues in inflammatory bowel disease. Inflamm. Bowel Dis. 13:675–683.[CrossRef][Medline]

Stein, H. H., and D. Y. Kil. 2006. Reduced use of antibiotic growth promoters in diets fed to weanling pigs: Dietary tools, part 2. Anim. Biotechnol. 17:217–231.[CrossRef][Medline]

Wang, X., I. L. Brown, D. Khaled, M. C. Mahoney, A. J. Evans, and P. L. Conway. 2002. Manipulation of colonic bacteria and volatile fatty acid production by dietary high amylose maize (amylomaize) starch granules. J. Appl. Microbiol. 93:390–397.[CrossRef][Medline]



This Article
Free Via Open Access
Right arrow Abstract
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
jas.2007-0747v1
87/3/984    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bhandari, S. K.
Right arrow Articles by Krause, D. O.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bhandari, S. K.
Right arrow Articles by Krause, D. O.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS