000			05448nam a2200457 a 4500
005			20260818090634.0
008			140619s2012 th ad ||| |000 0 eng d
035			_a.b12134168
099		9	_aAIT Thesis no.EV-12-03
100	0		_aAurin Wongpichit
245	1	0	_aDevelopment of a DNA-based detection method for sewage specific bacteriophages of bacteroides
260			_aPathum Thani : _bAsian Institute of Technology, _c2012
300			_a142 leaves : _bill. (some col.), charts + _e1 online resource
490	1		_aThesis ; _vno. EV-12-03
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management Inter - University Program on Environmental Toxicology, Technology and Management
502			_aThesis (M.Sc.) - Asian Institute of Technology - Chulabhorn Research Institute - Mahidol University, 2012
520			_aBacteriophages of Bacteroides are one of the new types of fecal indicators that are currently being evaluated in regions outside Asia. Bacteriophage strain ATCC 51477-B1, which infects B. fragilis strain HSP40 (ATCC 51477), has been reported to be found only in water samples contaminated with human-derived fecal materials. On the other hand, the strain ATCC 700786-B1, which infects B. fragilis strain RYC2056 (ATCC 700786), was shown to be detected in fecally contaminated water samples of both human and animal origins. The genomic information of phage ATCC 51477-B1 has been fully characterized. However, that of bacteriophage ATCC 700786-B1 has not yet been studied. Since a non-specific strain (ATCC 700786-B1) was found more prevalently in water, it is important for the newly-designed DNA-based assay not to pick up this non-specific phage strain as well. Therefore, there is a need to develop the detection method that can detect the human-specific bacteriophage strain. There are 2 objectives of this study. The first objective was to determine regions of difference in DNA sequences between bacteriophages strain ATCC 51477-B1, representing a sewage-specific strain, and strain ATCC 700786-B1, representing a non-specific strain. The regions of difference between these two phage strains were determined using molecular techniques such as restriction enzyme digestion, DNA sequencing and sequence analysis. The second objective was to design a PCR assay for detection of human-specific bacteriophage strain ATCC 51477-B1. This objective was performed by PCR primer designing, optimizing the PCR reaction components and cycling conditions, and determining the detection limit of the newly-designed PCR assay. The whole genomic sequencing results was performed with Ion Torrent Personal Genome Machine System. The resulting DNA sequences were assembled and analysed with de novo genome assembly software and Blastn program. Four regions in the length of 400 bps{u2013}1 Kbps of bacteriophage ATCC 51477-B1 that were not in bacteriophage ATCC 700786-B1 were determined: node 43 (440 bp), node 13 (866 bp), node79 (443 bp), and node 9 (941 bp). The 4 pairs of primers were designed from 4 regions of phage ATCC 51477-B1 and the results showed PCR products in the length of 433, 591, 592 and 593 bp. After that, the PCR reaction components and cycling conditions were optimized and the PCR method detection limit was determined. Moreover, the newly-designed PCR method was used with wastewater samples to detect phage ATCC 51477-B1. The results indicated that the amount of phage ATCC 51477-B1 of less than 257 pfu/ml in wastewater samples were not detected. Therefore, after being validated with more environmental samples, the method will be ready for measuring water quality, tracking human-derived fecal sources, and facilitating in water management and pollution control of water sources.
650		0	_aSewage _xPurification
650		0	_aBacteroides
700	0		_aKwanrawee Sirikanchana, _eChairperson
700	0		_aPreeda Pakpian, _eExamination Committee
700	0		_aRojana Sukchawalit, _eExamination committee
710	2		_aChulabhorn Research Institute, _eScholarship donor
710	2		_aMahidol University, _eScholarship donor
710	2		_aAsian Institute of Technology, Fellowship, _eScholarship donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. EV-12-03
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02511
907			_a.b12134168 _bmnait _cj
902			_a240404
998			_b0 _c140619 _dm _ea _fj _g0
962			_a000:001:PDF:b1213416:001564:0:0:0:0:0:0 _tAbstract--AIT Thesis no.EV-12-03 _vn
945			_lmnait
945			_lmnait
945			_lmnarc
942			_c20
942			_c40
909			_aBarcode : 30050120734222 _bCREATED : 2014-06-24 _cRECORD # : i12816668 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050120734230 _bCREATED : 2014-06-24 _cRECORD # : i1281667x _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050160048012 _bCREATED : 2016-01-06 _cRECORD # : i13008390 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
999			_c28734 _d28734