applied and environmental microbiology oct. 2005, p. 6126-6133 報告者:簡鈺晴
DESCRIPTION
Genetic variation of the Bloom-Forming Cyanobacterium Microcystis aeruginosa within and among Lakes: Implications for Harmful Algal Blooms. APPLIED AND ENVIRONMENTAL MICROBIOLOGY Oct. 2005, p. 6126-6133 報告者:簡鈺晴. 背景及目的. 有毒藻之藻華現象 - Microcystis aeruginosa 研究 此藻種之多樣性 形體差異 - PowerPoint PPT PresentationTRANSCRIPT
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APPLIED AND ENVIRONMENTAL MICROBIOLOGY
Oct. 2005, p. 6126-6133
報告者:簡鈺晴
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有毒藻之藻華現象 - Microcystis aeruginosa
研究 此藻種之多樣性形體差異基因差異(在同一族群或不同族群間)
為何從基因的角度無法由形體辨識是否產毒
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實驗設計
( BG-11, n=3)
( WC, n=2)
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數據分析
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G-test, although it is also sometimes called a log-likelihood test or a likelihood ratio test.
With sample sizes between 50 and 1000, it generally doesn't make much difference which test you use, so you shouldn't criticize someone for using the chi-square or G-test
The G-test of independence is used for two nominal variables, not one.
)]/ln([2 EOOG
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結果 Survival rate
Range: 0-30%Mean ± SD , 7.4
±2.1% Relationship
湖泊總磷與高營養培養基之存活率中度相關
培養基的影響( G = 38.7, df=4,
p<0.001)
Slope= 0.943r2=0.407p=0.014n=14
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實驗
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PCR result of HIP primers
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序列 差異處Seq 1: AATTAATTCG →ATTSeq 2: AACCAATTCG →ACCSeq 3: AGTTAATTCG →GTT
Seq 1 和 Seq 2 間差了兩個鹼基, Seq 1 和 Seq 3卻只差一個鹼基。然而三條序列在 Wright’s F 的觀點下都被視為不同的 alleles 。
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Microcystis aeruginosa Population Colony Strain
10 colonies 3 stranis
8 colonies 8 stranis 7 colonies 1 stranis
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http://www.docstoc.com/docs/2370106/Analysis-of-Molecular-Variance-(AMOVA)
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Level of
variation
df Sum of squares Mean
squares
Variance
Among
haplotypes within
demes
n– d SS(WD) =
Among demes
within groups d – G
SS(AD) =
– SS(WD)
Among groups
within population G – 1
SS(AG) =
SS(T) –
Total n – 1
SS(T) =
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Level of population hierarchy F-statistic
Among demes within group
Among groups within population
Among demes within population
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Level of population hierarchy -statistic
Among demes within group
Among groups within population
Among demes within population
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基因型(%) Percent distinct genotypes
=
Range: 42-100%Mean ± SD , 78 ±7.8%
no. of distinct
genotypes
no. of isolates
analyzed
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AMOVA用來評估湖泊藻族群內與藻族群間單體的差異
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p value of Φsc
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結果 AMOVA
各湖泊藻種基因之變異41% 基因變異解釋湖泊間藻基因之不同59% 基因變異解釋湖泊內藻基因之不同
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Paper Course Note
G-test χ2 觀察值 , 平均值之比較
AMOVA ANOVA單因子變異數分析
F-test(or F-statistics)
Φ-statistics
檢定變異數
E
EO 22 )(
)]/ln([2 EOOG
1.表 (p value of Φsc) 是否應該對角對稱
2.比較表
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Q & A section
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the phi coefficient φ or rφ is a measure of association for two binary variables.