東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Detecting and verifying microsatelli...

Bao, Kehan.

FindBook

Google Book

Amazon

博客來

Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica./
作者:	Bao, Kehan.
面頁冊數:	56 p.
附註:	Source: Masters Abstracts International, Volume: 54-06.
Contained By:	Masters Abstracts International54-06(E).
標題:	Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1594430
ISBN:	9781321916140

Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica.
Bao, Kehan.

Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica. - 56 p.

Source: Masters Abstracts International, Volume: 54-06.

Thesis (M.S.)--University of Rhode Island, 2015.

The eastern oyster, Crassostrea viginica, is an economically important aquaculture species in the USA, but several diseases, such as Dermo and MSX, inhibit maximum production. Efforts have been made to develop disease-resistant oyster lines using selective breeding techniques based on phenotype; however, achievement of the desired trait is hindered by the inability to maintain consistent and intense selection pressure in field trials. Marker-Assisted Selection (MAS) offers an effective alternative to traditional breeding techniques by selecting based on genetic markers associated with disease resistance, even in the absence of disease-related selection pressure. The greatest challenge in applying MAS is to identify markers that are consistently associated with the disease-resistant phenotype. In this study, 20 previously published microsatellite markers, including 9with some prior evidence of association with disease resistance were used to genotype and compare oyster populations of the same stock (NEH-RI) deployed at two sites (York River, Virginia and Cape Shore, New Jersey) before and after a disease-caused mortality period (March -- November 2013). One marker (RUCV 270) with prior evidence of association with disease resistance exhibited significant shifts in allelic distribution post-selection at both sites. Two additional markers with prior evidence of association (Cvi2i23 and RUCV 97) exhibited significant post-mortality allelic distribution shifts in one site but not the other. Lastly, significant differences in allelic distribution before and after selection were detected in one marker (RUCV 68) with no prior evidence of association with disease resistance at both sites. These results strengthen the evidence associating markers RUCV270, Cvi2i23 and RUCV97with the disease-resistant phenotype and suggest that marker RUCV68 warrants further investigation. Additional genetic and functional genomic analyses are required to determine whether these markers are suited for MAS.

ISBN: 9781321916140Subjects--Topical Terms:

516476
Ecology.

Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica.
LDR:02976nmm a2200289 4500 001 2078717
005 20161129073848.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321916140
035 $a (MiAaPQ)AAI1594430
035 $a AAI1594430
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bao, Kehan. $3 3194322
245 1 0 $a Detecting and verifying microsatellite markers associated with disease resistance in cultured populations of eastern oysters, Crassostrea virginica.
300 $a 56 p.
500 $a Source: Masters Abstracts International, Volume: 54-06.
500 $a Advisers: Dina Proestou; Marta Gomez-Chiarri.
502 $a Thesis (M.S.)--University of Rhode Island, 2015.
520 $a The eastern oyster, Crassostrea viginica, is an economically important aquaculture species in the USA, but several diseases, such as Dermo and MSX, inhibit maximum production. Efforts have been made to develop disease-resistant oyster lines using selective breeding techniques based on phenotype; however, achievement of the desired trait is hindered by the inability to maintain consistent and intense selection pressure in field trials. Marker-Assisted Selection (MAS) offers an effective alternative to traditional breeding techniques by selecting based on genetic markers associated with disease resistance, even in the absence of disease-related selection pressure. The greatest challenge in applying MAS is to identify markers that are consistently associated with the disease-resistant phenotype. In this study, 20 previously published microsatellite markers, including 9with some prior evidence of association with disease resistance were used to genotype and compare oyster populations of the same stock (NEH-RI) deployed at two sites (York River, Virginia and Cape Shore, New Jersey) before and after a disease-caused mortality period (March -- November 2013). One marker (RUCV 270) with prior evidence of association with disease resistance exhibited significant shifts in allelic distribution post-selection at both sites. Two additional markers with prior evidence of association (Cvi2i23 and RUCV 97) exhibited significant post-mortality allelic distribution shifts in one site but not the other. Lastly, significant differences in allelic distribution before and after selection were detected in one marker (RUCV 68) with no prior evidence of association with disease resistance at both sites. These results strengthen the evidence associating markers RUCV270, Cvi2i23 and RUCV97with the disease-resistant phenotype and suggest that marker RUCV68 warrants further investigation. Additional genetic and functional genomic analyses are required to determine whether these markers are suited for MAS.
590 $a School code: 0186.
650 4 $a Ecology. $3 516476
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Biological oceanography. $3 2122748
690 $a 0329
690 $a 0792
690 $a 0416
710 2 $a University of Rhode Island. $b Biological Sciences. $3 2101391
773 0 $t Masters Abstracts International $g 54-06(E).
790 $a 0186
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1594430