4 research outputs found
λ©νμ§λ λΆμμ ν΅ν λμ¬ λΉλκΈ° λΆλ³ λ΄ λ³μμ± μ§κ· μ λν μ°κ΅¬: 보건νμ ν¨μλ₯Ό μ€μ¬μΌλ‘
νμλ
Όλ¬Έ (μμ¬)-- μμΈλνκ΅ λνμ : μλͺ
κ³ΌνλΆ, 2015. 8. μμμ΄.λμ μ§μμμμ κ°μΌ μνμ΄ μ¦κ°ν¨μ λ°λΌ μΈμ²΄ κ°μΌμ± μ§κ· μΌλ‘ μΈν κ±΄κ° μ°λ €κ° μ μΈκ³μ μΌλ‘ νμ°λκ³ μλ€. μ΄ κ°μ μ°λ €λ λμ¬ λΉλκΈ° κ°μ²΄μμ κΈκ²©ν μ¦κ°μ λ§λ¬Όλ €, λμ¬ λΉλκΈ°κ° λ³μμ± μ§κ· μ μ νμ λ°μ ν κ΄λ ¨μ΄ μλ κ²μΌλ‘ ν΄μλκΈ°μ μ΄λ₯΄λ λ€. νμ¬κΉμ§ μ μΈκ³μ μΌλ‘ μ½ 48μ’
μ λ³μμ± μ§κ· μ΄ λΉλκΈ° λΆλ³μ μ‘΄μ¬νλ κ²μΌλ‘ λ³΄κ³ λμ΄ μμΌλ μ΄λ λ°°μμ΄ λμ§ μλ μ’
λ€μ λ°°μ ν κ²μΌλ‘ μ€μ λ‘λ λ λ§μ μ’
μ΄ λΉλκΈ° λΆλ³μ μ‘΄μ¬ν κ²μΌλ‘ μκ°λλ€. λ³Έ μ°κ΅¬μ λͺ©μ μ, 첫째, κΈ°μ‘΄μ λ°°μ κΈ°λ°μ΄ μλ μ°¨μΈλ μΌκΈ°μμ΄ λΆμλ°©λ²μ μ΄μ©νμ¬ λΉλκΈ° λΆλ³μ μ‘΄λνλ λ³μμ± μ§κ· μ λ€μμ±μ μ‘°μ¬νκ³ , λμ§Έ, μ€μκ° μ μ μμ λμ¦ν κΈ°μ μ μ΄μ©νμ¬ λ³μμ± μ§κ· μ μ λλκ³Ό μμΈμλ΄ μ§μμ λΆν¬λ₯Ό νμΈνλ©°, μ
μ§Έ, λ³μμ± μ§κ· μ λ€μμ± λ° μ λλκ³Ό κ΄λ ¨ μλ μ§λ¦¬, μ¬ν, κ·Έλ¦¬κ³ κΈ°ν μΈμλ€μ νμ
νλ κ²μ΄λ€. λ§μ§λ§μΌλ‘ μ μ ν λΉλκΈ° λΆλ³κ³Ό μ€λλ λΆλ³ λ΄ μ‘΄μ¬νλ λ³μμ± μ§κ· λ€μ μ‘°μ¬νμ¬ λ³μμ± μ§κ· μ νμ μ€μ λ‘ λΉλκΈ°κ° κ΄μ¬νλμ§ μ¬λΆλ₯Ό νμΈν΄λ³΄κ³ μ νμλ€. μ μ ν λΉλκΈ° λΆλ³μμ λ°κ²¬λλ λ³μμ± μ§κ· μ λΉλκΈ°μ μ₯μ ν΅κ³Όνλ κ²μΌλ‘μ λΉλκΈ°μ μν΄ μ νλλ μ’
λ€λ‘ κ°μ£Όνμκ³ , μ€λλ λΆλ³μμλ§ λ°κ²¬λλ μ’
λ€μ λΉλκΈ°κ° μλ μ£Όλ³μ νκ²½μμ μ λν κ²μΌλ‘ ν΄μνμλ€. μ°κ΅¬ κ²°κ³Ό, λΉλκΈ° λΆλ³ λ΄ λ³μμ± μ§κ· λ€μμ±κ³Ό μ λλμ μμΈμλ΄μ λΆκ· λ±νκ² λΆν¬λμ΄ μμμ μ μ μμλ€. λ³μμ± μ§κ· μ λ€μμ±κ³Ό λμ μμ μκ΄κ΄κ³λ₯Ό κ°μ§λ μΈμλ€λ‘λ λ
Ήμ§μ¨κ³Ό λ€μΈλμ£Όνμ μκ° μμκ³ , λ°λμ μΈκΈ°λ μμ μκ΄κ΄κ³λ₯Ό λνλ΄μλ€. ννΈ λ³μμ± μ§κ· μ μ λλμ λμ μ€μ¬μΌλ‘λΆν°μ 거리, μ΅λ, λ°λμ μΈκΈ°μ λͺ¨λ μμ μκ΄κ΄κ³λ₯Ό 보μλ€. μ€λλ λΉλκΈ° λΆλ³μμ λ°κ²¬λλ λ³μμ± μ§κ· μ μλΉμκ° μ μ ν λΆλ³μμλ λ°κ²¬λμ§ μμ κ²μΌλ‘ λ―Έλ£¨μ΄ μ°λ¦¬λ λλΆλΆμ λ³μμ± μ§κ· μ΄ λΉλκΈ°λ₯Ό ν΅ν΄μκ° μλ μ£Όλ³ νκ²½μΌλ‘λΆν° μ λν κ²μ΄λΌκ³ νλ¨νμλ€. μ¦, λΉλκΈ°κ° μλ λΉλκΈ°μ λΆλ³μ΄ λ³μμ± μ§κ· μ μ νμ λ μ€μν μν μ νλ κ²μΌλ‘ νμΈλμλ€. μ΄ κ°μ μ°κ΅¬κ²°κ³Όλ ν₯ν 보건λΉκ΅μ΄ 보건 μ μ±
μ μ립νκ³ λ³μμ± μ§κ· μΌλ‘ μΈν νΌν΄λ₯Ό μλ°©νλλ° μμ΄ μ μ©ν μ 보λ₯Ό μ 곡ν κ²μΌλ‘ κΈ°λλλ€.Human infectious fungi are a growing health concern worldwide, with cities posing a higher risk of infection. The dramatic upsurge of pigeon populations in cities has been implicated in the increased incidence of human fungal infection. In the current study, I used a culture-independent, high-throughput sequencing approach to elucidate the diversity of clinical fungi associated with pigeon feces. I mapped the absolute abundance of clinical fungi across Seoul, Korea, using quantitative PCR. In addition, I tested whether certain geographical, sociological, and meteorological factors were significant predictors of either the diversity or the absolute abundance of clinical fungi, or the presence/absence of specific clinical fungi species. Finally, I compared clinical fungi from fresh and old pigeon feces to elucidate the source of the fungi and the role of pigeons in their dispersalI inferred fungi in fresh feces to have passed through the pigeon gastrointestinal tract while other species present in old feces colonized after excretion. Our results demonstrated that both the composition and absolute abundance of clinical fungi are unevenly distributed throughout Seoul. The green area ratio and the number of multiplex houses were positively correlated with species diversity, whereas wind speed was negatively correlated. Three significant predictors (distance to city center, humidity, and wind speed) were negatively correlated with the absolute abundance of clinical fungi. Because many clinical fungi were absent in fresh feces, I concluded that most species cannot survive the gastrointestinal tract of pigeonsinstead, many clinical fungi are transmitted through soil or air and use pigeon feces as a substrate for proliferation.1. Introduction 1
1.1. Emerging fungal threats 1
1.2. Pigeons: reservoirs and carriers of clinical fungi? 2
1.3. Impediments of studying the diversity of clinical fungi 3
1.4. Prerequisites for risk factor identification and effective intervention 5
1.5. Objective of this study 6
2. Materials and Methods 8
2.1. Study location and sample collection 8
2.2. Metadata acquisition 8
2.3. DNA extraction 9
2.4. PCR amplification 10
2.5. Pyrosequencing 14
2.6. Sequence processing 14
2.7. Taxonomic assignment 15
2.8. Diversity analyses 18
2.9. Quantitative PCR 18
2.10. Statistical analyses 19
2.11. Species distribution modeling of the commonly found clinical fungi species 21
3. Results 23
3.1. The diversity and distribution of clinical fungi 28
3.2. The absolute abundance of clinical fungi 34
3.3. Niche models for the common clinical fungi species 40
3.4. Comparison between fresh and old feces 44
4. Discussion 46
4.1. The diversity and distribution of clinical fungi 46
4.2. The absolute abundance of clinical fungi 48
4.3. Niche models for the common clinical fungi species 50
4.4. Comparison between fresh and old feces 51
5. Conclusions 54
6. Reference 55
7. Abstract in Korean 64
8. Acknowledgements 67Maste