...
首页> 外文期刊>Ecological Applications >Mixed-stock analysis of Atlantic cod near the Gulf of St. Lawrence based on microsatellite DNA
【24h】

Mixed-stock analysis of Atlantic cod near the Gulf of St. Lawrence based on microsatellite DNA

机译:基于微卫星DNA的圣劳伦斯湾附近大西洋鳕鱼混合种群分析

获取原文
获取原文并翻译 | 示例
           

摘要

The collapse of various stock complexes of cod (Gadus morhua) in the northwest Atlantic has prompted a clarification of relationships among stock components. Here we examine the genetic composition of >2300 cod collected during 1994-1997 in the Gulf of St. Lawrence and its approaches to determine whether: (1) stock components can be genetically identified; (2) population structure is temporally stable; (3) components are always separated and, if not, where and when are they mixed; and (4) component contributions to mixtures can be estimated. We use polymorphism at six microsatellite DNA loci from cod collected on or near their spring and summer spawning grounds to examine structure and then employ maximum likelihood analyses to estimate contributions of each component to mixtures overwintering near the entrance to the Gulf. Estimates of genetic structure (F-ST and R-ST) reveal significant differences among cod populations during stock-separated periods, and the structure appears to be temporally stable. Multidimensional scaling analysis of estimates of genetic distance (D-A) suggest that the structure results from differences among cod collected within the Gulf of St. Lawrence and those collected near the entrance to the Gulf on either side of the Laurentian Channel in the Cabot Strait, as well as among cod collected south of Newfoundland along the north side of the Channel. Weak genetic heterogeneity among seven regional mixed-stock collections during the overwintering period suggests that cod aggregations characteristically found in the overwintering region represent population mixtures that differ in the proportion of cod contributed to them by the various stock components, Maximum likelihood estimates indicate no significant temporal changes in component contributions to the mixed-stock samples between 1996 and 1997 when all of the winter mixed-stock samples were pooled. The combined contribution of cod from the southern and northern Gulf of St. Lawrence to the mixed-stock samples ranged between 46% and 71% (expected 64%), More precise estimates of contributions from these two regions are precluded by the weak genetic differentiation detected in our samples. The contribution by cod from the Cape Breton Island region was small and estimated at 3%. Contributions by cod from the eastern Scotian Shelf, southwest Newfoundland and south-central Newfoundland were in the range of 13-14%, 4%, and 8%, respectively. Contributions by inshore cod from Placentia and Fortune Bays in south Newfoundland were small to negligible (similar to 3% each). The results indicate that future management could be designed around the spatial and temporal scale of the stock structure identified during the stock-separated period and around the spatially varying contributions to the overwintering mixed-stock fishery. [References: 91]
机译:西北大西洋鳕鱼(加德斯·摩尔瓦)的各种种群的崩溃,促使人们弄清了种群组成之间的关系。在这里,我们研究了1994-1997年在圣劳伦斯湾收集的> 2300种鳕鱼的遗传组成,以及确定以下情况的方法: (2)人口结构在时间上是稳定的; (3)成分总是分开的,如果没有,则在什么地方和什么时候混合; (4)可以估计成分对混合物的贡献。我们在从其春季和夏季产卵场或其附近收集的鳕鱼的六个微卫星DNA位点处使用多态性,以检查结构,然后采用最大似然分析来估计每种成分对海湾入口附近越冬混合物的贡献。遗传结构(F-ST和R-ST)的估计表明,鳕鱼种群在种群分离期间存在显着差异,并且该结构似乎在时间上是稳定的。遗传距离(DA)估计值的多维标度分析表明,该结构是由圣劳伦斯湾内收集的鳕鱼和卡博特海峡劳伦山脉海峡两边的海湾入口附近收集的鳕鱼之间的差异造成的,如以及在海峡北侧纽芬兰南部采集的鳕鱼中。越冬期间七个区域混合种群集合中的遗传异质性较弱表明,在越冬区域特征性地发现的鳕鱼聚集代表了种群混合物,其种群中各组分对鳕鱼的贡献比例不同,最大似然估计表明没有明显的时间性。在汇总了所有冬季混合库存样本的1996年至1997年之间,混合库存样本的成分贡献变化。来自圣劳伦斯湾南部和北部的鳕鱼对混合种群样品的总贡献介于46%和71%之间(预期为64%)。由于遗传分化较弱,无法更准确地估算这两个地区的贡献在我们的样本中检测到。布雷顿角岛地区鳕鱼的贡献很小,估计为3%。东部斯科特架子,纽芬兰西南部和纽芬兰中南部的鳕鱼贡献分别在13-14%,4%和8%范围内。来自纽芬兰南部的Placentia和Fortune Bays的近岸鳕鱼的贡献很小到可以忽略不计(分别接近3%)。结果表明,可以围绕种群分离期间确定的种群结构的空间和时间尺度以及围绕越冬混合种群渔业的空间变化贡献来设计未来的管理。 [参考:91]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号