<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AiM</journal-id><journal-title-group><journal-title>Advances in Microbiology</journal-title></journal-title-group><issn pub-type="epub">2165-3402</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/aim.2016.62009</article-id><article-id pub-id-type="publisher-id">AiM-63589</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  A Simple Evaluation System for Microbial Property in Soil and Manure
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>aoto</surname><given-names>Horinishi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kunimasa</surname><given-names>Matsumoto</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Katsuji</surname><given-names>Watanabe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Life, Environment and Materials Science, Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan</addr-line></aff><pub-date pub-type="epub"><day>18</day><month>02</month><year>2016</year></pub-date><volume>06</volume><issue>02</issue><fpage>88</fpage><lpage>97</lpage><history><date date-type="received"><day>22</day>	<month>January</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>17</month>	<year>February</year>	</date><date date-type="accepted"><day>22</day>	<month>February</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Analyses of microbial properties in soil and manure had always included the problem that there was no available standard method to evaluate microbial property. The one of the major problems was the vast diversity and the enormous population of soil microorganisms [1], the other was an existence of numerically dominant unculturable microorganisms which comprise 99% of soil habitat [2]. We evaluated whether our newly developed method, by which taxonomies and their number of each bacterial groups were estimated, could be used as evaluation method of microbial properties of soils and manures. In the forest soil, 
  β
  -Proteobacteria, which included 
  Burkholderi
  a sp., 
  Ralstonia
   sp., and 
  Alcaligenes
   sp., was numerically dominant bacteria (3.64 &#215; 10
  <sup>6</sup>
   MPN g
  <sup>-1</sup>
   dry soil), followed by 
  γ
  -Proteobacteria (1.32 &#215; 10
  <sup>6</sup>
   MPN), 
  δ
  -Proteobacteria (0.006 &#215; 10
  <sup>6</sup>
   MPN), and the other gram negative bacteria (0.006 &#215; 10
  <sup>6</sup>
   MPN). In the commercial manure, Actinobacteria, which included 
  Streptoverticillium salmonis
  ,
   Mycrococcus 
  sp.,
   Streptomyces bikiniensis
  ,
   
  and 
  Microbacterium ulmi
  , was numerically dominant bacterial group (30.8 &#215; 10
  <sup>6</sup>
   MPN), followed by 
  α
  -Proteobacteria (26.0 &#215; 10
  <sup>6</sup>
   MPN), 
  β
  -Proteobacteria (17.1 &#215; 10
  <sup>6</sup>
   MPN), 
  δ
  -Proteobacteria (11.2 &#215; 10
  <sup>6</sup>
   MPN), the other Firmicutes (1.71 &#215; 10
  <sup>6</sup>
   MPN), 
  γ
  -Proteobacteria (0.5 &#215; 10
  <sup>6</sup>
   MPN), and the other gram negative bacteria (0.05 &#215; 10
  <sup>6</sup>
   MPN). In the upland field, the other Firmicutes, which included 
  Paenibacillus
   sp., was numerically dominant bacteria (4.41 &#215; 10
  <sup>6</sup>
   MPN), followed by Actinobacteria (2.14 &#215; 10
  <sup>6</sup>
   MPN), 
  Bacillus
   sp. (2.14 &#215; 10
  <sup>6</sup>
   MPN), and 
  γ
  -Proteobacteria (0.35 &#215; 10
  <sup>6</sup>
   MPN). Although the precision of the affiliations became lower because of higher diversity of samples and the number of some Antinobacteria and Firmicutes might be underestimated by the used PCR condition, the method was found suitable as a candidate of a new evaluation system of soil and manure.
 
</p></abstract><kwd-group><kwd>Evaluation System</kwd><kwd> Microbial Property</kwd><kwd> Soil and Manure</kwd><kwd> Multiple Enzyme Restriction Fragment Length Polymorphism Analysis</kwd><kwd> The Most Probable Number Method</kwd><kwd> Microchip Electrophoresis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>To establish sustainable agricultural system, by which crops and vegetables had been produced stably, maintaining soil fertility was primary important. In order to utilize the soil microorganisms effectively for soil management, property of soil microorganisms had to be evaluated as similarly as those of physical and chemical properties; while analyses of microbial properties in soil and manure had always included the problem that there was no available standard method to evaluate microbial property. The one of the major problems was the vast diversity and the enormous population of soil microorganisms [<xref ref-type="bibr" rid="scirp.63589-ref1">1</xref>] , the other was an existence of numerically dominant unculturable microorganisms which comprise 99% of soil habitat [<xref ref-type="bibr" rid="scirp.63589-ref2">2</xref>] .</p><p>Although denaturing gradient gel electrophoresis (DGGE), by which microbial flora could be analyzed without any culture steps [<xref ref-type="bibr" rid="scirp.63589-ref3">3</xref>] , had widely been used within this decade for environmental microbiological researches, the method was found to have the following weak points: 1) PCR bias always disturbed to provide the exact information not only of microbial number but also ratio of each microbial groups by changing a ratio of the amplified DNAs from that of the original genomes [<xref ref-type="bibr" rid="scirp.63589-ref4">4</xref>] -[<xref ref-type="bibr" rid="scirp.63589-ref7">7</xref>] . 2) Microorganisms, affiliated by this method, were not a representative of whole microorganism but one part, which produced discrete bands in the DGGE gel [<xref ref-type="bibr" rid="scirp.63589-ref8">8</xref>] -[<xref ref-type="bibr" rid="scirp.63589-ref11">11</xref>] , and the large portion in background smear remained unclear as “interband” region [<xref ref-type="bibr" rid="scirp.63589-ref12">12</xref>] . All of the PCR products could only been affiliated when the selective primer for the specific groups were used [<xref ref-type="bibr" rid="scirp.63589-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.63589-ref15">15</xref>] , which resulted in another selection bias caused by PCR primers. 3) The migration rates of each bands varied depending on the prepared gel condition, which inhibited to use the past data as reference database. 4) It required a lot of time and labor not only to remove completely PCR inhibiting substances, such as humic substance contained in the sample [<xref ref-type="bibr" rid="scirp.63589-ref16">16</xref>] , but also to prepare and run DGGE gel, and affiliation of each band. These weak points disturbed the method to come into wide use. Especially as evaluation system, there was no method available by which numbers and contained microorganisms could systemically be analyzed without any preliminary information of microorganisms included in the sample.</p><p>Until now, we had found a new affiliation method of microorganisms based on restriction fragment polymorphism analysis, and developed a system and method by which bacterial affiliations could be completed systematically [<xref ref-type="bibr" rid="scirp.63589-ref17">17</xref>] . By using isolated environmental bacteria, precision of bacterial affiliation have been evaluated [<xref ref-type="bibr" rid="scirp.63589-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] . Its combined use of the most probable number method (MPN) was found useful to provide numbers and taxonomies of each bacterial group without isolation in the former papers [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] .</p><p>As the method also seemed suitable as simple evaluation method of microbial properties in soils and manures, we presented our evaluation results whether the method could be used as systematic analyses method of soils and manure in this manuscript.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Samples of Soils and Manure</title><p>Soil samples were obtained from surface of upland field (U; Gleysol) at Itoshima, Fukuoka, Japan, where vegetable had been cultivated under conventional field management, and from the surface horizon of forest soil (F; brown forest soil) at Wajiro-Hgashi, Fukuoka, Japan. Commercial manure (M) made from rice straw and cattle feces was used in this study. To test vials (5 replicates) including Biolog Universal Growth Medium (BUGM; BIOLOG Hayworth, CA, USA) broth [<xref ref-type="bibr" rid="scirp.63589-ref22">22</xref>] , serial 10-fold dilutions (10<sup>−4</sup> to 10<sup>−10</sup>) prepared from samples (1 g fresh wt.) were inoculated. After 3 days incubation at 30˚C, bacterial DNA in each vial was extracted described previously [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] and purified by the conventional methods.</p></sec><sec id="s2_2"><title>2.2. PCR Amplification and Restriction Digestion</title><p>Using the V2 forward primer (41f), and the V6 reverse primer (1066r) [<xref ref-type="bibr" rid="scirp.63589-ref23">23</xref>] , 16S rDNA was amplified according to the former study [<xref ref-type="bibr" rid="scirp.63589-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] . After restriction digestion of the PCR product (10 μl) by each of 10 units of the restriction enzyme, Hae III or Hha I or Rsa I or Scr F1 (Takara Bio Co. Ltd., Shiga, Japan) in Low salt buffer solution (10xLow salt buffer, Takara Bio Co. Ltd.) and 5 folds dilution by de-ionized water (for Low salt buffer), restriction fragment lengths were measured by microchip electrophoresis system (MCE-202 MultiNA; Shimadzu Co., Ltd., Kyoto, Japan).</p></sec><sec id="s2_3"><title>2.3. Used Reference MERFL Database for Phylogenetic Estimation</title><p>The newly constructed database was used for this research, which was edited using the method of Watanabe and Okuda [<xref ref-type="bibr" rid="scirp.63589-ref17">17</xref>] described previously [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] . For 41f/1066r primers, 30,844 post-amplification sequence files, which were consisted from 1379 bacterial genera, including uncultured and unidentified bacteria, were mainly re- edited using small subunit rRNA files in RDP II release 9_61 [<xref ref-type="bibr" rid="scirp.63589-ref24">24</xref>] under 5-bases mismatches in the both in primer annealing sites.</p></sec><sec id="s2_4"><title>2.4. Selection of the Measured MERFLP Originated from the Homogeneous 16S rDNA and Phylogenetic Estimation</title><p>As the reference MERFL database was edited from the homogeneous 16S rDNA sequences, the measured MERFL digested from the homogeneous 16S rDNA had to be used for phylogenetic estimation.</p><p>The major RFs, which had the highest relative mole concentration (ratio of fluorescent intensity to fragment size) and represented as H in <xref ref-type="table" rid="table1">Table 1</xref>, were selected among the mixed heterogeneous FRs as described previously. The 2nd major RFs, represented as M in <xref ref-type="table" rid="table1">Table 1</xref>, were similarly selected among the remained mixed heterogeneous FRs after subtraction of the major RFs. The 3rd major gene, represented as L in <xref ref-type="table" rid="table1">Table 1</xref>, were similarly selected using the remained mixed heterogeneous FRs after subtraction of the 2nd major RFs.</p><p>The pairwise distance (D<sub>AB</sub>) between the measured RFLP (A) and the theoretical RFLP (B) was calculated according to Nei and Li [<xref ref-type="bibr" rid="scirp.63589-ref25">25</xref>] . For similarity search, the theoretical MERFLP (B) having the smallest pairwise distance (D<sub>ABME</sub>), which was an average of all the D<sub>AB</sub><sub>s</sub> for used restriction enzymes, to the measured MERFLP (A) were searched in the reference database as described previously (Watanabe et al., 2008). Similarity (%) in <xref ref-type="table" rid="table1">Table 1</xref> was calculated as the following equation; (1-D<sub>ABME</sub>) &#215; 100.</p><p>In phylogenetic estimation, identical theoretical MERFL (100%) was searched preferentially by using all the 4 measured MERFL data at first. When the completely identical theoretical MERFL was not found, combinations of 3 restriction enzymes were used for the next searches (<xref ref-type="table" rid="table1">Table 1</xref>). When the completely identical theoretical MERFL (100%) was not found, combinations of 2 restriction enzymes were used for the next searches (Ta- ble 1). When the completely identical theoretical MERFL (100%) was not found using 2 restriction enzymes, the theoretical MERFL having the highest similarity to the measured MERFL was indicated in <xref ref-type="table" rid="table1">Table 1</xref> [<xref ref-type="bibr" rid="scirp.63589-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] .</p></sec><sec id="s2_5"><title>2.5. Estimation of Numbers of Each Bacterial Group by MPN</title><p>After differentiation of the measured MERFLs into 8 groups (A~J) based on the phylogenetic estimation. Numbers of each group were estimated by MPN for five-tube, three-decimal-dilution experiment (<xref ref-type="table" rid="table2">Table 2</xref>). Confidence limits shown in <xref ref-type="table" rid="table2">Table 2</xref> were obtained using FDA’s Bacterial Analytical Manual [<xref ref-type="bibr" rid="scirp.63589-ref26">26</xref>] .</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Grouping and Affiliation of Bacteria Based on MERFLP</title><p>Affiliations of fifty MERFLs were summarized in <xref ref-type="table" rid="table1">Table 1</xref>. The MERFLs in this study was found to have a higher bacterial diversity than those in the former studies as the followings; all of the 50 MERFLs were divided into 47 OTUs, then ratio of total number of the OTUs to that of MERFLs was 94%, which was higher than that of upland field using selective medium (62.2%) [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] , that of manures during composting (60.4%) [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] and that of commercial food products (34.6%; unpublished results). The higher diversity of MERFLs was caused from higher bacterial diversity of samples and non- selectivity of the used incubation medium. They were divided into 8 groups for the MPN calculation as the followings; Actinobacteria (Group A, 10 MERFLPs), Bacillus spp. (Group B, 5 MERFLs), the other Firmicutes (Group C, 11 MERFLs), α-Proteobacteria (Group D, 4 MERFLs), β-Proteobacteria (Group E, 8 MERFLs), γ-Proteobacteria (Group F, 7 MERFLs), δ-Proteobacteria (Group G, 3 MERFLs), and the other gram negative bacterial group (Group H, 2 MERFLs) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Affiliation of bacteria grown in serially diluted BUGM medium by MERFL<sup>a</sup></title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Vial No.<sup>b</sup></th><th align="center" valign="middle" >Restriction enzymes<sup>c</sup></th><th align="center" valign="middle" >Similarity (%)</th><th align="center" valign="middle" >Name (Accession number)<sup>d</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="10"  >A</td><td align="center" valign="middle" >M10<sup>−7</sup>1M</td><td align="center" valign="middle" >R, Sc</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Streptoverticillium salmonis (X53169)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>4H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >90.5</td><td align="center" valign="middle" >Micrococcus lylae (X80750), Agrococcus jenensis (AJ717350)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>5H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >95.2</td><td align="center" valign="middle" >Streptomyces bikiniensis (AB208713)</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>1H</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Microbacterium ulmi (AY06021)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>1M</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >rubrobacteridae bacterium (AB245333)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>2M</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >87.5</td><td align="center" valign="middle" >Mycobacterium sp.S19 (AB355701), M. mucogenicum (AY457073)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>3L</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >92.5</td><td align="center" valign="middle" >uncultured Actinobactereria (AY921946)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>2M</td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >Actinomadura pelletieri (AF163119), Microtetraspora pusilla (D85491), Excellospora viridulutea (D86943)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>4M</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >Corynebacterium genitalium (U87820)</td></tr><tr><td align="center" valign="middle" >U10<sup>−7</sup>5H</td><td align="center" valign="middle" >Ha, R, Sc</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >Arthrobacter citeus (Arb.citrus)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >B</td><td align="center" valign="middle" >U10<sup>−5</sup>1H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >B.cereus (AY907828)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>4H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >B. firmus (DQ173158), B. smithii (X60643), B. azotoformans (B.axzotofos)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>4H</td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >B. fusiformis (L14013), B. spaericus (L15015)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>5H</td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >U10<sup>−7</sup>5H</td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="11"  >C</td><td align="center" valign="middle" >M10<sup>−6</sup>4H</td><td align="center" valign="middle" >Ha, R, Sc</td><td align="center" valign="middle" >91.7</td><td align="center" valign="middle" >Paenibacillus gluconolyticus (D78470)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>2M</td><td align="center" valign="middle" >R, Sc</td><td align="center" valign="middle" >92.7</td><td align="center" valign="middle" >Eubacterium cylindoides (Eub.cylin2)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>3M</td><td align="center" valign="middle" >Sc, Hh</td><td align="center" valign="middle" >82.9</td><td align="center" valign="middle" >Staphylococcus arlettae (AB009933), S. cohnii (AB009936), S. delphini (AB009938), Macrococcus carouselicus (X15713)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>3M</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >87.5</td><td align="center" valign="middle" >Paenibacillus sp. (DQ112248), P. azotofixans (Pae.azofix), P. glucanolyticus (Pae.glulyt)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>5M</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >84.1</td><td align="center" valign="middle" >uncultured Clostridiaceae (AY684073, AY684096, AY684098)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>1H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Paenibacillus azoreducens (AJ27229), P. rhizoshaerae (AY751754), Paenibacillus sp. (B518; AY839866, 2S3; DQ243814)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>2H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Paenibacillus turicensis (AF378699), P. marquariensis (Pae.macqr), Paenibacillus sp. (CWBI-B; DQ112248, Tibet-IB15; DQ177465)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>5M</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Weissella paramesenteroides (AB362621)</td></tr><tr><td align="center" valign="middle" >U10<sup>−7</sup>1H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Paenibacillus pocheonensis (AB245386), P. ginsengarvi (AB271057)</td></tr><tr><td align="center" valign="middle" >U10<sup>−7</sup>3H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Paenibacillus sp. (GT05-08; AM162296, YT0011; AB362822), P. agaridevorans (AJ345023, D84023)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>1M</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >uncultured gram positive bacteria (AY177762)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >D</td><td align="center" valign="middle" >M10<sup>−7</sup>1H<sup>e</sup></td><td align="center" valign="middle" >Ha, R</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >Agrobacterim sp. (AB006037)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>4M</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >90</td><td align="center" valign="middle"  rowspan="2"  >Sphingomonas sp. (BHC-A; AY973169, HI-D4; DQ205302), S. yanoikuyae (Spg.yano10), Blastomonas natatoria (X73043)</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>3H<sup>f</sup></td><td align="center" valign="middle" >Ha, R, Sc</td><td align="center" valign="middle" >90.5</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>3H<sup>f</sup></td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >90.5</td><td align="center" valign="middle" >Erythrobacter citreus (AF118020), Sphingomonas terrae (Spg.terrae)</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>3M</td><td align="center" valign="middle" >Ha, R</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Erlichia caffeensis (CP000236,U60476), E. ruminantium (CR925677, CR925678), E. ewingii (M73227)</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="10"  >E</th><th align="center" valign="middle" >F10<sup>−5</sup>5M</th><th align="center" valign="middle" >Ha, Hh</th><th align="center" valign="middle" >82.9</th><th align="center" valign="middle" >Burkholderia sp. (SFA1; AB232333, AK-5; AB103080)</th></tr></thead><tr><td align="center" valign="middle" >F10<sup>−6</sup>4H</td><td align="center" valign="middle" >Ha, R, Sc</td><td align="center" valign="middle" >90.5</td><td align="center" valign="middle" >Hydeogenophaga pseudoflave (AF078770), Streptoverticillium abikoense (X53168)</td></tr><tr><td align="center" valign="middle" >F10<sup>−6</sup>4L</td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >Burkholderia koreensis (AB201286), Halomonas venusta (L42618)</td></tr><tr><td align="center" valign="middle" >F10<sup>−6</sup>5H<sup>f</sup></td><td align="center" valign="middle" >Sc, Hh</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >Alcaligenes latus (D88007), Dactylosporangium roseum (Dct.roseu2)</td></tr><tr><td align="center" valign="middle" >F10<sup>−6</sup>5H<sup>f</sup></td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >beta proteobacteria (AB076863)</td></tr><tr><td align="center" valign="middle" >F10<sup>−6</sup>5H<sup>f</sup></td><td align="center" valign="middle" >Ha, Hh</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >Pandoraea sp. (AF247691, AF247696)</td></tr><tr><td align="center" valign="middle" >F10<sup>−7</sup>1H</td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >95.2</td><td align="center" valign="middle" >Ralstonia eutropha (AF027407), Burkholderia cepacia (Bur.cepaci), Streptomyces sp. (U93336, U93338), Streptverticillium baldaccii (X53164)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>2H</td><td align="center" valign="middle" >Ha, Rs, Hh</td><td align="center" valign="middle" >91.7</td><td align="center" valign="middle" >Alcaligenes ap. H (AJ412685)</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>2H</td><td align="center" valign="middle" >Rs, Hh</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>4H</td><td align="center" valign="middle" >Ha, Rs, Hh</td><td align="center" valign="middle" >91.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="9"  >F</td><td align="center" valign="middle" >F10<sup>−6</sup>4M</td><td align="center" valign="middle" >Ha, Sc</td><td align="center" valign="middle" >87.5</td><td align="center" valign="middle" >Haemophilus haemolyticus (H.haemolyt), H. paraomfluenzae (H.parainfl), Pasteurella mairii (Pas.mair89, Pas.mairii)</td></tr><tr><td align="center" valign="middle" >F10<sup>−7</sup>2H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >gamma proteobacterium FI1 (AY139001)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>3H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >uncultured gamma proteobacteria (AJ318204)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>2H<sup>f</sup></td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >93.7</td><td align="center" valign="middle" >Pseudomonas alcaligenes (D84006), P. fulva (D84015)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>2H<sup>f</sup></td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >93.7</td><td align="center" valign="middle" >P. alcaligenes (D84006), P. putida (DQ229317), P. straminea (D84023)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>3H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >93.7</td><td align="center" valign="middle" >P. aeruginosa (AY771716), Pseudomonas sp. (DY-A; AJ544239, SF1; AJ135269)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>5H<sup>f</sup></td><td align="center" valign="middle" >R, Sc, Hh</td><td align="center" valign="middle" >93.3</td><td align="center" valign="middle" >P. fulva (D84015)</td></tr><tr><td align="center" valign="middle" >U10<sup>−5</sup>5H<sup>f</sup></td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >93.3</td><td align="center" valign="middle" >Pseudomonas sp. (FP1-3; DQ118952, F25; DQ1275322, BWDY-5; DQ2008562, H; DQ205301)</td></tr><tr><td align="center" valign="middle" >U10<sup>−6</sup>3H</td><td align="center" valign="middle" >Ha, R, Hh</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Pseudomonas graminis (DQ59301), Pseudomonas sp. BWDY-29 (DQ200851)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >G</td><td align="center" valign="middle" >F10<sup>−5</sup>5H</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >Desulforegula conservatrix (AF243334), Emiliania huxleyi (AY741371)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>1H<sup>e</sup></td><td align="center" valign="middle" >R, Sc</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >Desulfobacterrium cetonicum (AJ237603), Desulfosarcina variabilis (M34407), Desulfonega mgnum (U45989), Syntrophus buswellii (Syt.buswel)</td></tr><tr><td align="center" valign="middle" >M10<sup>−7</sup>2M</td><td align="center" valign="middle" >R, Sc</td><td align="center" valign="middle" >85.7</td><td align="center" valign="middle" >Desulfovibrio fructosavorans (AF050101), Micrococcus luteus (AF057289), Pedomicrobium manganicum (X97691)</td></tr><tr><td align="center" valign="middle" >M10<sup>−8</sup>4M</td><td align="center" valign="middle" >Sc, Hh</td><td align="center" valign="middle" >83.7</td><td align="center" valign="middle" >Chondromyces robustus (AJ233941)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >H</td><td align="center" valign="middle" >F10<sup>−5</sup>2H</td><td align="center" valign="middle" >Sc, R</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Leptospira interrogans (Lps.interK)</td></tr><tr><td align="center" valign="middle" >M10<sup>−6</sup>4M</td><td align="center" valign="middle" >R, Hh</td><td align="center" valign="middle" >87.5</td><td align="center" valign="middle" >Kouleothrix aurantiace (AB079638, AB079639), Polyangium cellulosum (AF387627)</td></tr></tbody></table></table-wrap></table-wrap-group><p><sup>a</sup>Grouping was based on affiliation by MERFL; Actinobacteria (Group A), Bacillus spp. (Group B), the other Firmicutes (Group C), α-Proteobacteria (Group D), β-Proteobacteria (Group E), γ-Proteobacteria (Group F), δ-Proteobacteria (Group G), and the other gram negative bacterial group (Group H); <sup>b</sup>The 1st letter in vial indicates samples; “F” stands for the sample from forest soil, “M” stands for the sample from commercial manure, and “U” stands for the sample from upland field soil . Exponential of vial number represents the decimal dilution of the vial. The 2nd number of vial number (1 - 5) represents number in 5 replicates for the each decimal dilution. H of last letter represents MERFL originating from the major 16S rDNA, M represents from the 2nd major 16S rDNA, and L represents from the 3rd major 16S rDNA; <sup>c</sup>Restriction enzymes used for similarity search; “Ha”, “R”, “Sc”, and “Hh” stand for Hae III, Rsa I, Scr F1, and Hha I. For the measured MERFLP which had no completely identical theoretical MERFLP, the theoretical MERFLP having the highest similarity using all the RFLPs was presented with the similarity as described in the materials and method; <sup>d</sup>Species name (accession number) of the theoretical MERFL having the highest similarity with the measured MERFL; <sup>e</sup>Additional name (accession number) of the theoretical MERFL using the different restriction enzymes; <sup>f</sup>Different accession number of the theoretical MERFL in the same group using the different restriction enzymes.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Most probable numbers of each groups (A~H) and 5% confidence limits obtained using FDA’s Bacterial Analytical Manual [<xref ref-type="bibr" rid="scirp.63589-ref26">26</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >a</th><th align="center" valign="middle"  colspan="4"  >Forest soil</th><th align="center" valign="middle"  colspan="4"  >Manure</th><th align="center" valign="middle"  colspan="4"  >Upland field</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Three dilutions</td><td align="center" valign="middle"  rowspan="2"  >Score</td><td align="center" valign="middle"  rowspan="2"  >&#215;10<sup>6</sup> MPN g<sup>−1</sup> dry soil</td><td align="center" valign="middle" >5% limits</td><td align="center" valign="middle"  rowspan="2"  >Three dilutions</td><td align="center" valign="middle"  rowspan="2"  >Score</td><td align="center" valign="middle"  rowspan="2"  >&#215;10<sup>6</sup> MPN g<sup>−1</sup> dry soil</td><td align="center" valign="middle" >5% limits</td><td align="center" valign="middle"  rowspan="2"  >Three dilutions</td><td align="center" valign="middle"  rowspan="2"  >Score</td><td align="center" valign="middle"  rowspan="2"  >&#215;10<sup>6</sup> MPN g<sup>−1</sup> dry soil</td><td align="center" valign="middle" >5% limits</td></tr><tr><td align="center" valign="middle" >Low/High</td><td align="center" valign="middle" >Low/High</td><td align="center" valign="middle" >Low/High</td></tr><tr><td align="center" valign="middle" >A</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10<sup>−7</sup>10<sup>−8</sup>10<sup>−9</sup></td><td align="center" valign="middle" >3-1-0</td><td align="center" valign="middle" >30.8</td><td align="center" valign="middle" >9.79/72.7</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >2-1-0</td><td align="center" valign="middle" >2.14</td><td align="center" valign="middle" >0.57/5.35</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >2-1-0</td><td align="center" valign="middle" >2.14</td><td align="center" valign="middle" >0.57/5.35</td></tr><tr><td align="center" valign="middle" >C</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >1-2-0</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >0.5/4.2</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >3-2-0</td><td align="center" valign="middle" >4.41</td><td align="center" valign="middle" >1.79/11.3</td></tr><tr><td align="center" valign="middle" >D</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10<sup>−7</sup>10<sup>−8</sup>10<sup>−9</sup></td><td align="center" valign="middle" >2-2-0</td><td align="center" valign="middle" >26.0</td><td align="center" valign="middle" >9.51/61.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >E</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >3-1-0</td><td align="center" valign="middle" >3.64</td><td align="center" valign="middle" >1.16/6.94</td><td align="center" valign="middle" >10<sup>−7</sup>10<sup>−8</sup>10<sup>−9</sup></td><td align="center" valign="middle" >1-2-0</td><td align="center" valign="middle" >17.1</td><td align="center" valign="middle" >5.03/42</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >1-1-0</td><td align="center" valign="middle" >1.32</td><td align="center" valign="middle" >0.23/3.97</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >0-1-0</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.03/1.93</td><td align="center" valign="middle" >10<sup>−5</sup>10<sup>−6</sup>10<sup>−7</sup></td><td align="center" valign="middle" >3-1-0</td><td align="center" valign="middle" >0.35</td><td align="center" valign="middle" >0.11/0.66</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >10<sup>−4</sup>10<sup>−5</sup>10<sup>−6</sup></td><td align="center" valign="middle" >0-1-0</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.0003/0.023</td><td align="center" valign="middle" >10<sup>−7</sup>10<sup>−8</sup>10<sup>−9</sup></td><td align="center" valign="middle" >1-1-0</td><td align="center" valign="middle" >11.2</td><td align="center" valign="middle" >1.96/33.6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >H</td><td align="center" valign="middle" >10<sup>−4</sup>10<sup>−5</sup>10<sup>−6</sup></td><td align="center" valign="middle" >0-1-0</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.0003/0.023</td><td align="center" valign="middle" >10<sup>−5</sup>10<sup>−6</sup>10<sup>−7</sup></td><td align="center" valign="middle" >0-1-0</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.003/0.19</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >b</td><td align="center" valign="middle" >10<sup>−6</sup>10<sup>−7</sup>10<sup>−8</sup></td><td align="center" valign="middle" >2-2-0</td><td align="center" valign="middle" >3.07</td><td align="center" valign="middle" >1.12/7.27</td><td align="center" valign="middle" >10<sup>−7</sup>10<sup>−8</sup>10<sup>−9</sup></td><td align="center" valign="middle" >5-4-0</td><td align="center" valign="middle" >364</td><td align="center" valign="middle" >101/1119</td><td align="center" valign="middle" >10<sup>−8</sup>10<sup>−9</sup>10<sup>−10</sup></td><td align="center" valign="middle" >5-4-0</td><td align="center" valign="middle" >4048</td><td align="center" valign="middle" >1132/12579</td></tr></tbody></table></table-wrap><p><sup>a</sup>Groups: A: B. cereus, B: Bacillus spp., C: Clostridium, D: The other Fumicutes, E: Actinobacteria, F: Proteobacteria, G: Prevotella, H: Cytophagales, I: Gram negative bacteria; <sup>b</sup>Total number of bacteria.</p><p>The precision of the affiliations of each MERFLs was lower than that of the former studies. With respect to the major MERFL, ratio of the MERFLs with 100% similarity to the corresponding theoretical MERFLs (43.3%) was lower than that of field soils using selective medium (90.5%) [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] , that of the manures during composting (62.9%) [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref23">23</xref>] , and that of the commercial food products (59.6%). The lower precision of the affiliations was caused from higher bacterial diversity of sample. As the diversity of sample became higher, the each MPN vial included many kinds of bacteria, which made it difficult to select MERFLs originated from homogenous 16S rDNA.</p></sec><sec id="s3_2"><title>3.2. Estimation of Numbers of Each Bacterial Groups by MPN</title><p>There was a large difference in microbial properties among the three samples as the followings. In the forest soil (F), Group E, which included Burkholderia sp., Ralstonia sp., and Alcaligenes sp., was numerically dominant bacterial group (3.64 &#215; 10<sup>6</sup> MPN g<sup>−1</sup> dry soil), followed by Group F (1.32 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), Group G (0.006 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), and Group H (0.006 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>) (<xref ref-type="table" rid="table2">Table 2</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>). The some bacterial group detected here, e.g., Burkholderia spp., was reported to be detected using clone library sequencing [<xref ref-type="bibr" rid="scirp.63589-ref27">27</xref>] except for phyla Acidobacteria which could not be detected by the culture based method [<xref ref-type="bibr" rid="scirp.63589-ref28">28</xref>] .</p><p>In the commercial manure (M), Group A, which included Streptoverticillium salmonis, Mycrococcus sp., Streptomyces bikiniensis, and Microbacterium ulmi, was numerically dominant bacterial group (30.8 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), followed by Group D (26.0 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included Agrobacterim sp., Sphingomonas sp., Erythrobacter citreus and Erlichia sp., Group E (17.1 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included Alcaligenes sp., and Ralstonia sp., Group G (11.2 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included various sulfate reducing bacteria and Chondromyces robustus, Group C (1.71 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included Paenibacillus gluconolyticus, Eubacterium cylindoides, and Staphylococcus sp., Group F (0.5 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), and the Group H (0.05 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>) (<xref ref-type="table" rid="table2">Table 2</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The microbial property of M was different from those of the manures during composting in the former paper as the followings [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] : Total bacterial number (3.64 &#215; 10<sup>8</sup> MPN g<sup>−1</sup>) was lower than that of the manure after thermophilic phase (7.89 &#215; 10<sup>10</sup> MPN g<sup>−1</sup>), and that after maturing phase (14.83 &#215; 10<sup>10</sup> MPN g<sup>−1</sup>). The reason of the lower number was attributed to an absence of Bacillus spp., which was the dominant bacteria in thermophilic phase, and the decrease of the other Firmicutes, sulfate reducing bacteria and the other gram negative bacterial group, which were dominant bacteria in maturing phase [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] . While α and β-Proteobacteria, which once disappeared after maturing phase, recovered in considerable number, and Actinobacteria, which increased during maturing phase, was remained [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] .</p><p>In the upland field (U), Group C, which included Paenibacillus sp., and Weissella paramesenteroides, was numerically dominant bacterial group (4.41 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), followed by Group A (2.14 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Numbers of bacterial groups estimated by MPN and MERFLP in forest soil (F), commercial manure (M), and upland field (U). Number of Actinobacteria (Group A; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x7.png" xlink:type="simple"/></inline-formula>), the other Bacillus spp. (Group B; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x8.png" xlink:type="simple"/></inline-formula>), the other Firmicutes (Group C; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x9.png" xlink:type="simple"/></inline-formula>), α-Proteobacteria (Group D; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x10.png" xlink:type="simple"/></inline-formula>), β-Proteobacteria (Group E; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x11.png" xlink:type="simple"/></inline-formula>), γ-Proteobacteria (Group F; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x12.png" xlink:type="simple"/></inline-formula>), δ-Proteobacteria (Group G; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x13.png" xlink:type="simple"/></inline-formula>), t and the other gram negative bacterial group (Group H; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-2270695x14.png" xlink:type="simple"/></inline-formula>) were presented</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2270695x6.png"/></fig><p>included Mycobacterium sp., Corynebacterium genitalium, and Arthrobacter citeus, Group B (2.14 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included B.cereus, B.fusiformis/B.spaericus and B.firmus/B.smithii/B.azotoformans, and Group F (0.35 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), which included Pseudomonas sp. (<xref ref-type="table" rid="table2">Table 2</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>). Number of Bacillus spp. was similar to that of the upland Andosol field in the former study using selective medium for Bacillus spp. (1.58 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>), and those estimated by dilution plate method (2.30 &#215; 10<sup>6</sup> CFU g<sup>−1</sup>) [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] . The most bacterial groups detected here were reported to be detected using culture-based method [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] , or DGGE [<xref ref-type="bibr" rid="scirp.63589-ref9">9</xref>] , or clone library sequencing [<xref ref-type="bibr" rid="scirp.63589-ref29">29</xref>] except for phyla Acidobacteria [<xref ref-type="bibr" rid="scirp.63589-ref28">28</xref>] .</p><p>There was a difference between the total bacterial number estimated by MPN using all the amplified vials and those of the sum of the each bacterial MPN (<xref ref-type="table" rid="table2">Table 2</xref>). In the forest soil (F), the sum of the each MPN (4.7 x10<sup>6</sup> MPN g<sup>−1</sup>) was higher than that of the total bacterial MPN (2.9 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>). The over estimation was caused from the reason that some positive vial was repeatedly counted not only as the major MERFLs, but also as the 2<sup>nd</sup> major, and the 3<sup>rd</sup> major MERFLs. In the forest soil, two 2<sup>nd</sup> major MERFLs and one 3<sup>rd</sup> major MERFL were additionally counted as the positive results to the 6 major MERFL. In the manure (M), the sum of the each MPN (74.9 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>) was lower than the total bacterial MPN (312 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>). Differentiation of the whole MERFLs into the 6 sub-groups was the major factor of the underestimation (<xref ref-type="table" rid="table2">Table 2</xref>). Because not all bacteria in each vial were detected by the method due to the PCR bias, the MPN scores of each group were lower than the true MPN scores. This under estimation could be decreased by conjugating the small sub-groups into the larger group with higher MPN score. In upland field soil (U), the sum of the each MPN (9.0 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>) was much lower than that of the total bacterial MPN (4088 &#215; 10<sup>6</sup> MPN g<sup>−1</sup>). The under estimation was also caused from low PCR amplification rate of the numerically dominant bacteria, for which bands detected in the highest dilutions (10<sup>−8</sup> and 10<sup>−9</sup>) were too weak to afford visible fragments after restriction digestion. The other our research indicated that amplification rates of some Antinobacteria and Firmicutes were low, and the other Actinobacteria was not amplified by the used PCR condition (unpublished results). The analysis by a new PCR condition including newly designed PCR primer for these bacteria will be presented in the following manuscripts.</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>In this method PCR inhibiting substances included in manure and soils had no serious effect on the results in spite of the used DNA extraction method, which included no extra purification step, because the effect of humic substances was decreased by using DNA extracted after proliferation in the growth medium, especially in higher decimal dilution vials of MPN, where the numerically dominant microorganisms were detected, concentration of the inhibiting substance was minimized. Only in forest soil, the inhibiting substance might cause the under estimation of some microbial group, because amplification band was observed until under 10<sup>−7</sup> dilution vials and PCR inhibition was observed until 10<sup>−5</sup> ~ 10<sup>−6</sup> dilution vails, which afforded 6 positive vials. The under estimation might be avoided by using the conventional extraction method for environmental DNA, which included purification step.</p><p>Although the present method was culture based method, which eliminated unculturable microorganisms, we thought that the method was suitable as evaluation system of soil and manure in aim to maintain soil fertility. Because one of the unculturable microorganism, which couldn’t proliferate without the other microorganisms, was detected by this method [<xref ref-type="bibr" rid="scirp.63589-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref31">31</xref>] , and the other unculturable microorganism, which lost proliferation ability and had no effect on soil fertility, was eliminated. As to another type of unculturable microorganism, which could proliferate, but no-one knew how to proliferate them such as phyla Acidobacteria [<xref ref-type="bibr" rid="scirp.63589-ref28">28</xref>] , we already developed an unculture-based new method (unpublished result), which was found useful for unculturable microbial analysis in activated sludge. The difference of the results between culture based and unculture based method will be presented in the following manuscripts.</p><p>Classification and affiliation in species or genus level was possible by this method [<xref ref-type="bibr" rid="scirp.63589-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref19">19</xref>] . However, enumeration of each differentiated sub-groups by MPN depended on a diversity of samples; e.g., in order to enumerate in species or genus level, three-tube, three-decimal-dilution experiment was sufficient for a sample having lower microbial diversity such as food (unpublished results), while five-tube, three-decimal-dilution experiment was insufficient for a sample having higher microbial diversity such as soil or manure and ten-tube, four- decimal-dilution experiment would improve accuracy of enumeration. Because differentiation of whole MERFLs into detailed sub-groups with lower number of MERFLs caused underestimation due to PCR bias which preferentially amplified specific DNA in MPN vials [<xref ref-type="bibr" rid="scirp.63589-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.63589-ref21">21</xref>] .</p><p>As the system required lower cost for instrument and running and RFLP data was automatically obtained by MultiNA, the method was suitable as evaluation system of soil and manure. Although some data processing was manually processed at this moment, the method was the versatile system used not only as evaluation system of environmental microorganisms, but also inspection method of food microorganisms (unpublished results). Compared to the next-generation method such as pyro-sequencing, reliable affiliations of all the bacteria might be difficult by our method, our method might not be suitable for pure research purpose, but suitable as inspection method due to its lower running cost and simplicity. A difference of the results obtained by this culture- based technique and by the unculture-based technique, such as DGGE, will be presented in the next manuscripts.</p></sec><sec id="s5"><title>Acknowledgements</title><p>We thank Mr. Y. Sogabe, Global Application Center, Shimadzu Co., for variable suggestion and support for MultiNA. We thank Dr. H. Yosikawa, the former Prof. of Fukuoka Institute of Technology, Dr. A. Hosoda, and Prof. H. Tamura, Meijyo University, for their encouragements during this work.</p></sec><sec id="s6"><title>Cite this paper</title><p>NaotoHorinishi,KunimasaMatsumoto,KatsujiWatanabe, (2016) A Simple Evaluation System for Microbial Property in Soil and Manure. 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