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JoVE Science Education Environmental Microbiology
Algae Enumeration via Culturable Methodology
  • 00:00Übersicht
  • 01:41Principles of Culturing and Enumerating Algae
  • 04:03Culturing and Enumerating Algae from Soil
  • 05:34Representative Results
  • 07:11Applications
  • 09:02Summary

배양 가능한 방법론을 통한 조류 나열

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Übersicht

출처: 이안 페퍼 박사와 찰스 게르바 박사의 연구소 – 애리조나 대학교
시연 저자: 브래들리 슈미츠

조류는 하나의 일반적인 특성, 즉 광합성 안료의 소유를 갖는 미생물의 매우 이질적인 그룹입니다. 환경에서 조류는 물 속에서 성장하여 수영장 소유자에게 문제를 일으킬 수 있습니다. 조류는 또한 독소를 방출하는 조류 꽃으로 인해 호수와 저수지와 같은 지표수에 문제를 일으킬 수 있습니다. 최근에는 조류 바이오 연료를 통해 새로운 에너지원으로 평가되고 있습니다. 블루-그린 조류는 실제로 시아노 박테리아로 분류 하는 박테리아. 시아노박테리아뿐만 아니라 photoynthesize, 뿐만 아니라 대기에서 질소 가스를 해결할 수있는 능력을 가지고있다. 다른 조류는 해초와 같은 복잡한 다세포 유기체에 단세포 유기체에서 구역 수색하는 진핵증입니다. 여기에는 녹조류, 유글레노이드, 디노플라겔레이트, 황금갈색 조류, 규음, 갈색 조류 및 붉은 조류가 포함됩니다. 토양에서, 조류 인구는 자주 106 그램 당. 이 숫자는 박테리아, actinomycetes 및 곰팡이에 대한 해당 숫자보다 낮으며, 광합성에 필요한 햇빛이 토양 표면 아래에 멀리 침투 할 수 없기 때문입니다.

조류는 광영양이기 때문에 광합성과 이산화탄소로부터 에너지를 얻고 이산화탄소로부터 바이오매스를 위한 에너지를 얻기 때문에, 전적으로 무기 영양소와 유기 탄소 기질 없이 구성된 성장 매체에서 성장할 수 있다. 유기 기판의 부족은 이종성 균 박테리아의 성장을 배제. 무기 성장 배지를 사용하여, 원래 토양 또는 물에 존재하는 조류는 가장 가능한 수(MPN) 방법에 의해 양수될 수 있다. MPN 방법은 조류 자체가 멸종으로 희석되는 것을 연속적으로 희석하는 것에 의존합니다. 어떤 희석에 조류의 존재는 매체에 있는 성장의 긍정적인 표시에 의해 결정됩니다, 이는 전형적으로 광합성에서 유래하는 조류의 녹색 점액이다. 각 희석에서 복제 튜브를 사용하고 주어진 희석에서 성장을 위해 양성 튜브의 수의 통계적 평가를 통해 원래 샘플에 존재하는 조류의 수를 계산할 수 있습니다. MPN 테이블은 각 희석에 사용되는 복제 수를 포함하여 특정 MPN 디자인에 따라 개발 및 게시되었습니다.

Verfahren

10g의 토양 샘플을 계량하여 현장에서 습한 채 수집되었거나 물을 첨가하여 2-3일 동안 촉촉하게 유지되도록 합니다. 토양은 촉촉하지만 포화되지 않아야합니다. 수정된 브리스톨용액의 95mL에 10g의 토양을 추가하여 10배 희석 계열을 준비한다(그림1). 수정 된 브리스톨의 용액을 만들려면, 물 1,000 mL에서 다음을 용해 : 0.25 g NaNO3,0.025 g CaCl2,0.075 g MgSO-4 · 7H2…

Ergebnisse

Figure 2 is an example of representative results.

p1 is chosen to be the number of replicate tubes of the highest dilution (least concentrated in soil) that has the highest number of positive tubes. Here, the replicates from Tube B do not count, because those of Tube C are from a higher dilution. In contrast, the number of tubes from Tube D that show a positive sign of growth is less than those from Tube C. So, p1 = 5.

p2 and p3 are chosen to be the number of tubes in the next two higher dilutions that show a positive sign of growth. Thus, p2 = 3 and p3 = 1.

The value for p1 can be found by looking down the first column in Table 2. The same is done in the p2 column. Then, the value of p3 (across the top) intersects the two defined by the values of p1 and p2. In this example, the value is 1.1 organisms per mL.

Divide this value by the concentration of soil in the dilution to which you assigned p2. In this example, this is Tube D.

Equation 1

Thus, in this example, there were 1.1 x 104 algae cells per g of soil. This value is fairly typical of the number of algae found in soil.

Figure 2
Figure 2. Hypothetical outcome of an algae enumeration experiment. Shaded tubes indicate the presence of algae. Un-shaded tubes represent the absence of algae.

Most probable number for indicated values of p3
p1 p2 0 1 2 3 4 5
0
0
0
0
0
0
0
1
2
3
4
5

0.018
0.037
0.056
0.075
0.094
0.018
0.036
0.055
0.074
0.094
0.11
0.036
0.055
0.074
0.093
0.11
0.13
0.054
0.073
0.092
0.11
0.13
0.15
0.072
0.091
0.11
0.13
0.15
0.17
0.090
0.11
0.13
0.15
0.17
0.19
1
1
1
1
1
1
0
1
2
3
4
5
0.020
0.040
0.061
0.083
0.11
0.13
0.040
0.061
0.082
0.1
0.13
0.16
0.060
0.081
0.10
0.13
0.15
0.17
0.080
0.10
0.12
0.15
0.17
0.19
0.10
0.12
0.15
0.17
0.19
0.22
0.12
0.14
0.17
0.19
0.22
0.24
2
2
2
2
2
2
0
1
2
3
4
5
0.045
0.068
0.093
0.12
0.15
0.17
0.068
0.092
0.12
0.14
0.17
0.20
0.091
0.12
0.14
0.17
0.20
0.23
0.12
0.14
0.17
0.20
0.23
0.26
0.14
0.17
0.19
0.22
0.25
0.29
0.16
0.19
0.22
0.25
0.28
0.32
3
3
3
3
3
3
0
1
2
3
4
5
0.078
0.11
0.14
0.17
0.21
0.25
0.11
0.14
0.17
0.21
0.24
0.29
0.13
0.17
0.20
0.24
0.28
0.32
0.16
0.20
0.24
0.28
0.32
0.37
0.20
0.23
0.27
0.31
0.36
0.41
0.23
0.27
0.31
0.35
0.40
0.45
4
4
4
4
4
4
0
1
2
3
4
5
0.13
0.17
0.22

0.34
0.41
0.17
0.21
0.26
0.33
0.40
0.48
0.21
0.26
0.32
0.39
0.47
0.56
0.25
0.31
0.38
0.45
0.54
0.64
0.30
0.36
0.44
0.52
0.62
0.72
0.36
0.42
0.5
0.59
0.69
0.81
5
5
5
5
5
5
0
1
2
3
4
5
0.23
0.33
0.49
0.79
1.3
2.4
0.31
0.46
0.7
1.1
1.7
3.5
0.43
0.64
0.95
1.4
2.2
5.4
0.58
0.84
1.2
1.8
2.8
9.2
0.76
1.1
1.5
2.1
3.5
16
0.95
1.3
1.8
2.5
4.3

Table 2. Most probable numbers for use with the experimental design in this exercise.

Applications and Summary

The MPN methodology is useful, because it allows estimation of a functional population based on a process-related attribution. In the example, the functional process was photosynthesis undertaken by algae, which allowed for growth in the absence of organic carbon. This allowed for total algal populations in soil to be enumerated.

MPN is also used to estimate the number of a particular type of microbial pathogens in water, such as Salmonella, utilizing the resistance of Salmonella to malachite green.

A further application is the estimation of mycorrhizal fungi by inoculating soil dilutions onto a plant host and looking for root colonization by the fungi.

Transkript

Algae are photosynthetic organisms that live in a variety of environments. Soil dwelling algae can be cultured in the laboratory, and their concentration enumerated using simple calculations.

Algae are a highly heterogeneous group of organisms that have one common trait, namely the possession of photosynthetic pigments, commonly chlorophyll. The vast majority of algae are microscopic, however, the exact definition of the group is controversial, and also includes seaweeds, which are typically macroscopic.

In the environment, algae can cause problems in surface waters such as lakes or reservoirs, forming algal blooms that deplete the water nutrients, blocking light passing beyond the water surface, and releasing toxins. The ability to enumerate algae in samples allows scientists to evaluate the health of an ecosystem, and the potential risk of algal overgrowth. 

Algal populations in soils frequently occur at around ten thousand cells per gram. These numbers are typically lower than corresponding concentrations of bacteria, fungi, or actinomycetes, as algae require sunlight for photosynthesis, which cannot penetrate far below the soil surface.

This video will illustrate how to culture algae from soil in the laboratory, and how to enumerate the concentration of algae in the starting soil sample.

Algae have beneficial effects on ecosystems. Blue-green algae, or cyanobacteria, have the ability to fix nitrogen gas from the atmosphere, making them useful in increasing soil nitrogen in semi-arid environments and also as a potential tool for biofuel production.

Other algae are eukaryotic, and range from single-celled to complex multicellular organisms, like seaweeds. These include green algae, euglenoids, dinoflagellates and diatoms, brown algae, and red algae.

Algae are phototrophic, obtaining energy from photosynthesis and carbon for biomass from carbon dioxide. As a result, they can be grown in media consisting entirely of inorganic nutrients, without an added organic carbon substrate. This lack of organic substrate prevents the growth of heterotrophic bacteria, which are dependent on external organic carbon for growth.

To culture algae for enumeration, soil samples are serially diluted tenfold to 10-6 g soil per mL, and cultured in growth media. Several replicates are made for each dilution. They are then incubated in a well-lit area for up to 4 weeks to allow algal growth.

The presence of algae in any dilution is determined by a positive sign of growth in the medium, which will typically appear as a green slime. Finally, empirically developed MPN tables designed for algal growth are consulted, enabling the user to determine the original algal concentration based on growth in dilution replicates. The MPN method relies on the serial dilution of samples such that the algae are diluted to extinction, meaning that at some dilution, no algal growth ensues.

Now that we are familiar with the concepts behind growing and enumerating algae from samples, let’s take a look at how this is carried out in the laboratory.

To begin the experiment, first weight out 10 grams of moist soil that has either been collected moist from the field, or been rehydrated and remained moist for 2 to 3 days. The soil should but not saturated.

Next, prepare a ten-fold dilution series by adding the 10 grams of soil first to 95 mL of Modified Bristol’s solution, or MBS. Label this as suspension A.

After shaking vigorously, continue the dilution series by adding 1 mL of suspension A to 9 mL of MBS in a test tube. Continue this ten-fold dilution series another 4 times to give dilutions up to 10-6 g per mL.

Next, inoculate 5 replicate tubes, each containing 9 mL of MBS with 1 mL of each of the dilutions 10-1 to 10-5. This results in 5 replicates tubes for each dilution from 10-2 to 10-6. Cap the tubes loosely.

Finally, incubate the tubes for a full 4 weeks in an area exposed to sunlight. Observe the tubes for algal growth once every 7 days. Tubes exhibiting algal growth will appear green.

Most Probable Number, or MPN, analysis is a commonly used mathematical method to enumerate microorganisms grown from dilution of a concentrated initial substrate. By taking into account the dilution factors of the solutions, and the number of tubes which show positive signs of growth at each dilution, the most probable number of organisms per gram of original soil sample can be calculated using an MPN table and simple formula.

To calculate MPN, the highest dilution with the highest number of positive replicate tubes is assigned the label of p1, in this case, the replicates of tube C. In contrast, some of the tubes from D & E are negative with no signs of algal growth.

The number of tubes in the next two higher dilutions that show positive growth are labeled as p2 and p3. Here, p2 = D and p3 = E.

The value for p1 can be found by looking down the first column in the MPN table. The same should be done with the p2 column. Finally, the value of p3, across the top, is used to intersect the two defined by p1 and p2, to give a value of the most probable number of organisms per mL.

Next, to calculate the concentration of organisms per gram in the original soil sample, this value is divided by the concentration of soil in the dilution to which p2 was assigned. The following equation is used to define the actual number of organisms per gram of soil.

Algal enumeration and MPN analysis have a wide range of applications, some of which are explored here.

This culturing method of algal enumeration can be used in a variety of settings. It can be applied to rivers or lakes to determine algal levels, and assess the risks of harmful algal blooms. Alternatively, it can be used to assess the cleanliness and safety of waters more directly used by humans, including swimming pools, water fountains, or other drinking water sources. Ideally, in potable water samples and swimming pools, there are no algae present.

The MPN analysis for enumeration can also be applied to other non-algal microorganisms. For example, water quality can be assessed using indicator organisms such as coliforms or E. coli. Here, samples can be cultured with media containing chemicals that are altered to produce color or fluorescence in the presence of the indicator organisms. By performing multiple small replicates of this experiment in individual cells, with samples diluted to a known concentration, the ratio of positive cells can be referenced to an MPN table for the specific indicator organism, and the starting concentration in the samples determined.

Algae may also be cultured for commercial applications. For example, some types of biofertilizer utilize blue-green algae, which can act as symbionts with plants, aiding their fixture and take-up of nitrogen, which is particularly useful in aiding crop growth in areas with poor soil. Similarly, algae can be grown for biofuels, or as a source of nutrient rich food for livestock.

You’ve just watched JoVE’s introduction to algal culture and enumeration. You should now understand how to dilute soil samples for algal growth, how to culture algae in the laboratory, and how to enumerate the algal concentration of your starting samples. Thanks for watching!

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JoVE Science Education Database. JoVE Science Education. Algae Enumeration via Culturable Methodology. JoVE, Cambridge, MA, (2023).

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