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==Project: Soil Microbial Communities & Diversity==
==Project: Soil Microbial Communities==


'''In this series of nine labs you will learn:'''  <br>       
'''In this series of nine labs you will learn:'''  <br>       
# To think, work, and write as microbiologists<br>
# To think, work, and write as microbiologists<br>
# To use the basic tools and techniques of traditional and molecular microbiology<br>
# To use the basic tools and techniques of traditional and molecular microbiology<br>
# To investigate the diversity and identity of soil microorganisms in a habitat of your own choosing <br>
# To investigate the diversity, identity, and function of soil bacteria <br>
# To make careful, unbiased observations and to record and analyze them for meaning and importance<br>
# To make careful, unbiased observations and to record and analyze them for meaning and importance<br>
# To design controlled experiments and collect data from those experiments to answer questions that arise from your observations<br>
# To design controlled experiments and collect data from those experiments to answer questions that arise from your observations<br>
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==Introduction to the Project==
==Introduction to the Project==
In the 1980's scientists discovered that, despite microbes' invisibility to us, the microbial world is much more diverse and numerous than the macroscopic world of plants and animals. Traditional measures of diversity relied on physical traits.  The use of physical traits in determing relationships between organisms has two major problems when it comes to microbes: 1) microbes are not as morphologically diverse as metazoans and their morphological traits are not indicative of evolutionary relationships and 2) there are no morphological traits common to both macroorganisms and microbes.  In the 1980's Carl Woese suggested that the deoxyribonucleic acid (DNA) sequences of certain common genes could be used to measure relatedness among radically different organisms. He picked the genes that encode ribosomal RNA (rRNA). Ribosomes, the protein-RNA complexes that are the scaffold on which proteins are synthesized, are common to all cells, both prokaryotic and eukaryotic. Despite differences in size, the sequences of rRNA molecules contain regions that are highly conserved, thus highly similar. Woese chose the intermediate sized rRNA molecule, 16S rRNA in prokaryotes and 18S rRNA in eukaryotes because it was large enough to contain enough information for genetic comparisons but small enough for the gene to be sequenced easily. <br><Br>
In the 1980's scientists discovered that, despite the unicellular character of microorganisms and their invisibility to us, the microbial world is much more diverse and numerous than the macroscopic world of plants and animals. We now know that microbial communities are as complex and interdependent as those of visible forms of life. Traditional measures of diversity relied on physical traits and assessment of microbial metabolism was used for microbial identification rather than for understanding community structure and organization.  The use of physical traits in determining relationships between organisms has two major problems when it comes to microbes: 1) microbes are not as morphologically diverse as metazoans and their morphological traits are not indicative of evolutionary relationships and 2) there are no morphological traits common to both macroorganisms and microbes.  In the 1980's Carl Woese suggested that the deoxyribonucleic acid (DNA) sequences of certain common genes could be used to measure relatedness among radically different organisms. He picked the genes that encode ribosomal RNA (rRNA). Ribosomes, the protein-RNA complexes that are the scaffold on which proteins are synthesized, are common to all cells, both prokaryotic and eukaryotic. Despite differences in size, the sequences of rRNA molecules contain regions that are highly conserved, thus highly similar. Woese chose the gene for the intermediate sized rRNA molecule, 16S rRNA in prokaryotes and 18S rRNA in eukaryotes, because this gene was large enough to contain enough information for genetic comparisons but small enough for the gene to be sequenced easily. <br><Br>
Comparing sequences of the gene (16S DNA) that encodes 16S rRNA in different bacteria can be used to identify them. We can also use rDNA sequencing to deduce relationships between different bacteria and among organisms as diverse as bacteria and humans. Woese's ground-breaking work altered the phylogenetic tree of life and showed that the prokaryotic world was evolutionarily much older than expected and much more important.<BR><BR>


Recent advances in molecular tools for gene sequencing and in other types of microorganism identification dramatically expanded our knowledge of the contribution of microbes in their (and our) environment. It is estimated that 99.9% of  microbes are "unculturable" - that is, currently not cultured by traditional methods leading to the so-called "Great Plate Count Anomaly"- that many more bacteria are present than appear as colonies on agar plates. Culture-independent estimates of the number of bacteria in a gram of soil are 10<sup>9</sup> - this is several hundred to 9,000 ''orders of magnitude'' greater than the number derived from culture-dependent methods. It has been speculated that there might be 10 billion species of bacteria on Earth!
Comparing sequences of the gene (16S DNA) that encodes 16S rRNA in different bacteria can be used to identify them with much greater accuracy than traditional identification tools that used a battery of metabolic and physical tests on cultured community members. It is also common now to use rDNA sequencing to deduce phylogenetic relationships between different bacteria and among organisms as diverse as bacteria and humans. Woese's ground-breaking work altered the tree of life and showed that the prokaryotic world was evolutionarily much older than expected and much more important.<BR><BR>


Your goal in this semester long project is to use both culture-based and culture-independent molecular methods of bacterial identification to investigate the diversity of bacteria in soil from a Wellesley greenhouse habitat and to explore the specific role of some of the bacteria in that community.  
Such advances in molecular tools for gene sequencing and in other types of microorganism identification dramatically expanded our knowledge of the contribution of microbes in their (and our) environment.  It is estimated that 99.9% of  microbes are "unculturable" - that is, currently not cultured by traditional methods leading to the so-called "Great Plate Count Anomaly"- that many more bacteria are present than appear as colonies on agar plates.  Culture-independent estimates of the number of bacteria in a gram of soil are 10<sup>9</sup> - this is several hundred to 9,000 ''orders of magnitude'' greater than the number derived from culture-dependent methods. It has been speculated that there might be 10 billion species of bacteria on Earth!
 
'''Your goal in this semester long project is to use both culture-based and culture-independent methods to investigate the abundance and diversity of bacteria in a soil community and to explore how this population functions co-operatively and competitively to support and exploit each other and their eco-system. '''
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<br>
<BR>
<BR>


==<center>Molecular Strategy for Identification of Culturable & Non-culturable Bacteria<BR> from a Soil Sample</center>==
==<center>Molecular Strategy for a Culture Independent Approach to Identifying Bacteria<BR> from a Soil Sample</center>==


<center>'''Isolate Genomic DNA from Environmental Samples or Cultured Isolates</center>
<center>'''Isolate Genomic DNA from Environmental Samples </center>
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<br>
  <center>
  <center>
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==<center>Strategy for Identification of Cultured Bacteria in a Soil Sample</center>==
==<center>Strategy for Culture-Dependent Analysis of Soil Community Bacteria</center>==
 
[[Image:cul_flow4.jpg]] <br>
 


----
[[Image:overview_cultures2.jpg]] <br>


==Links to Labs==
==Links to Labs==
[[BISC209/S11:BootCamp | Lab 1 ]]<br>
[[BISC209/S11: Lab1 | Lab 1 ]]<br>
[[BISC209/S11: Lab2 | Lab 2 ]]<br>
[[BISC209/S11: Lab2 | Lab 2 ]]<br>
[[BISC209/S11: Lab3 | Lab 3 ]]<br>
[[BISC209/S11: Lab3 | Lab 3 ]]<br>
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We would like to thank Charles Deutsch, Patricia M. Steubing; Stephen C. Wagner and Robert S. Stewart, Jr.; Kyle Seifert, Amy Fenster, Judith A. Dilts, and Louise Temple; and the instructors of the Microbial Diversity Course at the Marine Biological Lab in Woods Hole, MA for their valuable assistance in the development of these labs.
We would like to thank William VonSiegler; Charles Deutsch, Patricia M. Steubing; Stephen C. Wagner and Robert S. Stewart, Jr.; Kyle Seifert, Amy Fenster, Judith A. Dilts, and Louise Temple; and the instructors of the Microbial Diversity Course at the Marine Biological Lab in Woods Hole, MA for their valuable assistance in the development of these labs.

Latest revision as of 14:01, 11 March 2011

Wellesley College-BISC 209 Microbiology -Spring 2011

Project: Soil Microbial Communities

In this series of nine labs you will learn:

  1. To think, work, and write as microbiologists
  2. To use the basic tools and techniques of traditional and molecular microbiology
  3. To investigate the diversity, identity, and function of soil bacteria
  4. To make careful, unbiased observations and to record and analyze them for meaning and importance
  5. To design controlled experiments and collect data from those experiments to answer questions that arise from your observations
  6. To show data in effective figures or tables
  7. To make and articulate conclusions from experimental results
  8. To write intelligibly in scientific research report format about your investigation and its conclusions, including its significance or implications

Introduction to the Project

In the 1980's scientists discovered that, despite the unicellular character of microorganisms and their invisibility to us, the microbial world is much more diverse and numerous than the macroscopic world of plants and animals. We now know that microbial communities are as complex and interdependent as those of visible forms of life. Traditional measures of diversity relied on physical traits and assessment of microbial metabolism was used for microbial identification rather than for understanding community structure and organization. The use of physical traits in determining relationships between organisms has two major problems when it comes to microbes: 1) microbes are not as morphologically diverse as metazoans and their morphological traits are not indicative of evolutionary relationships and 2) there are no morphological traits common to both macroorganisms and microbes. In the 1980's Carl Woese suggested that the deoxyribonucleic acid (DNA) sequences of certain common genes could be used to measure relatedness among radically different organisms. He picked the genes that encode ribosomal RNA (rRNA). Ribosomes, the protein-RNA complexes that are the scaffold on which proteins are synthesized, are common to all cells, both prokaryotic and eukaryotic. Despite differences in size, the sequences of rRNA molecules contain regions that are highly conserved, thus highly similar. Woese chose the gene for the intermediate sized rRNA molecule, 16S rRNA in prokaryotes and 18S rRNA in eukaryotes, because this gene was large enough to contain enough information for genetic comparisons but small enough for the gene to be sequenced easily.

Comparing sequences of the gene (16S DNA) that encodes 16S rRNA in different bacteria can be used to identify them with much greater accuracy than traditional identification tools that used a battery of metabolic and physical tests on cultured community members. It is also common now to use rDNA sequencing to deduce phylogenetic relationships between different bacteria and among organisms as diverse as bacteria and humans. Woese's ground-breaking work altered the tree of life and showed that the prokaryotic world was evolutionarily much older than expected and much more important.

Such advances in molecular tools for gene sequencing and in other types of microorganism identification dramatically expanded our knowledge of the contribution of microbes in their (and our) environment. It is estimated that 99.9% of microbes are "unculturable" - that is, currently not cultured by traditional methods leading to the so-called "Great Plate Count Anomaly"- that many more bacteria are present than appear as colonies on agar plates. Culture-independent estimates of the number of bacteria in a gram of soil are 109 - this is several hundred to 9,000 orders of magnitude greater than the number derived from culture-dependent methods. It has been speculated that there might be 10 billion species of bacteria on Earth!

Your goal in this semester long project is to use both culture-based and culture-independent methods to investigate the abundance and diversity of bacteria in a soil community and to explore how this population functions co-operatively and competitively to support and exploit each other and their eco-system.

Molecular Strategy for a Culture Independent Approach to Identifying Bacteria
from a Soil Sample

Isolate Genomic DNA from Environmental Samples



PCR Amplify rRNA gene sequences from Genomic DNA from "Universal" Bacterial Primers



Clone 16S rDNA PCR products into a plasmid vector and transform E. coli with plasmid


Pick transformed E.coli colonies containing soil community 16S rDNA inserts; culture the bacteria overnight in 96 well blocks; create glycerol stocks in 96 well plates to freeze and send away for 16s rRNA gene sequencing



Analyze Diversity of Soil Bacterial Community & Infer Phylogenetic and Functional Relationships





Strategy for Culture-Dependent Analysis of Soil Community Bacteria


Links to Labs

Lab 1
Lab 2
Lab 3
Lab 4
Lab 5
Lab 6
Lab 7
Lab 8
Lab 9
Lab 10
Lab11
Lab 12


We would like to thank William VonSiegler; Charles Deutsch, Patricia M. Steubing; Stephen C. Wagner and Robert S. Stewart, Jr.; Kyle Seifert, Amy Fenster, Judith A. Dilts, and Louise Temple; and the instructors of the Microbial Diversity Course at the Marine Biological Lab in Woods Hole, MA for their valuable assistance in the development of these labs.