Time-series analysis reveals genetic responses to intensive management of razorback sucker (Xyrauchen texanus)
Time-series analysis reveals genetic responses to intensive management of razorback sucker (Xyrauchen texanus)
复制标题
时间序列分析揭示了剃刀鲸 (Xyrauchen texanus) 集约化管理的遗传反应
作者：
T. Dowling;T. F. Turner;E. W. Carson;M. Saltzgiver;D. Adams;B. Kesner;P. Marsh
时间序列分析在生态学中被广泛用于研究复杂的现象，并可能在阐明自然和被开发种群的遗传和人口过程的关系方面具有相当大的潜力。我们探索了这种方法在评估刀鱼种群对管理的反应方面的有效性，这种鱼是一种寿命长、多产、但正在衰落的淡水鱼物种。莫哈湖(美国亚利桑那州-内华达州)的核心种群几十年来没有经历过自然招募，靠从湖里收获自然产生的幼虫，在保护性的看管下饲养，并将它们送回较不容易被捕食的大小来维持。对mtDNA和15个微卫星的分析表明，在15年的时间序列中收集的连续幼虫群的特点是，地理结构没有变化，但随着时间的推移，整个种群的mtDNA多样性显着增加。同样，年度有效繁殖者与年度人口普查规模的比率(Nb/Na)显著增加，尽管Na减少了七倍。这些结果表明，保护行动减少了由于遗传因素造成的短期灭绝风险，现在应该把重点放在增加莫哈哈湖的鱼类数量上，以缓解长期风险。更广泛地说，时间序列分析允许对遗传多样性趋势进行强有力的测试，尽管一些指标的精确度较低。
Time‐series analysis is used widely in ecology to study complex phenomena and may have considerable potential to clarify relationships of genetic and demographic processes in natural and exploited populations. We explored the utility of this approach to evaluate population responses to management in razorback sucker, a long‐lived and fecund, but declining freshwater fish species. A core population in Lake Mohave (Arizona‐Nevada, USA) has experienced no natural recruitment for decades and is maintained by harvesting naturally produced larvae from the lake, rearing them in protective custody, and repatriating them at sizes less vulnerable to predation. Analyses of mtDNA and 15 microsatellites characterized for sequential larval cohorts collected over a 15‐year time series revealed no changes in geographic structuring but indicated significant increase in mtDNA diversity for the entire population over time. Likewise, ratios of annual effective breeders to annual census size (Nb/Na) increased significantly despite sevenfold reduction of Na. These results indicated that conservation actions diminished near‐term extinction risk due to genetic factors and should now focus on increasing numbers of fish in Lake Mohave to ameliorate longer‐term risks. More generally, time‐series analysis permitted robust testing of trends in genetic diversity, despite low precision of some metrics.
影响因子：
3.3
作者：
L. Excoffier;P. Smouse;J. Quattro
通讯作者：
L. Excoffier;P. Smouse;J. Quattro