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Genetic Family Reconstruction Characterizes Lake Sturgeon Use of Newly Constructed Spawning Habitat and Larval Dispersal
Transactions of the American Fisheries Society ( IF 2.0 ) Pub Date : 2020-03-20 , DOI: 10.1002/tafs.10225
Robert D. Hunter 1 , Edward F. Roseman 2 , Nicholas M. Sard 3 , Robin L. DeBruyne 4 , Jinliang Wang 5 , Kim T. Scribner 1, 6
Affiliation  

Since 2004, seven spawning reefs have been constructed in the St. Clair–Detroit River system to remediate lost spawning habitat and increase recruitment of Lake Sturgeon Acipenser fulvescens. Assessment of management actions by collecting and enumerating eggs and larvae provided evidence of spawning Lake Sturgeon and survival of eggs until larval dispersal at constructed reef sites. However, the number of spawners contributing sampled offspring (Ns), effective number of breeders (Nb), and extent of larval dispersal was unknown. Genetic reconstruction of familial relationships assigned eggs and larvae (= 725) collected in 2015 and 2016 to full‐ and half‐sibling groups and estimated Ns, Nb, and genetic connectivity. We used a modified COLONY simulation module to simulate and convert 18 microsatellite loci (13 disomic and 5 polysomic) to 205 dominant present/absent markers to increase marker number and familial assignment accuracy in family reconstruction analysis. We assessed COLONY's ability to accurately infer familial relationships across small (= 50), moderate (= 125), and large (= 750) larval sample sizes using two assumed allele frequency distributions for polysomic loci. We found that with fewer offspring sampled, COLONY underestimated Ns and with large sample sizes overestimated Ns. However, estimates were usually within 12–16% of the simulated true Ns. Across reefs, estimates of Ns were 151 in 2015 and 208 in 2016, and Nb was similar (158 in 2015 and 198 in 2016). Evidence of full‐ and half‐sibling larvae collected at multiple locations indicated that individual Lake Sturgeon spawned at multiple locations within years and larvae dispersed considerable distances. Estimating Ns, Nb, larval dispersal, and inferred genetic connectivity between locations provides managers with population demographic parameters to assess habitat remediation projects. Continued monitoring, including genetic family reconstruction, may provide insight into the long‐term effects of constructed spawning habitat on recruitment and population‐level genetic diversity.

中文翻译:

遗传家庭重建的特征是湖St鱼使用新建的产卵栖息地和幼虫分散。

自2004年以来,在圣克莱尔-底特律河系统中建造了七个产卵礁,以补救失去的产卵栖息地,并增加recruitment鱼Lake的捕捞活动。通过收集和枚举卵和幼体来评估管理措施,为evidence鱼的产卵和卵的存活直至幼体在人工礁的扩散提供了证据。但是,尚不知道产生后代的产卵数量(N s),有效育种数量(N b)以及幼虫扩散程度。家族关系的遗传重建将2015年和2016年收集的卵和幼虫( =  725)分配给全兄弟和半兄弟姐妹组并进行估计N sN b和遗传连通性。我们使用改良的COLONY模拟模块来模拟18个微卫星基因座(13个双体和5个多体位)并将其转换为205个主要存在/不存在的标记,以增加标记数目和家族重建分析中的家族分配准确性。我们使用两个假定的等位基因频率分布为多态性基因座,评估了COLONY在小( =  50),中度( =  125)和大( =  750)幼虫样本量之间准确推断家族关系的能力。我们发现,在采样后代的情况下,COLONY被低估了N s,而大样本量被高估了ñ小号。但是,估计值通常在模拟真实N s的12-16%之内。在整个珊瑚礁中,N s的估计值在2015年为151,在2016年为208,而N b相似(2015年为158,2016年为198)。在多个地点收集到的全兄弟姐妹和半兄弟姐妹幼虫的证据表明,单个St鱼在数年内在多个地点产卵,并且幼虫分散了很多距离。估计N sN b,幼虫散布和推断地点之间的遗传连通性为管理人员提供了人口统计学参数,以评估栖息地修复项目。持续的监测,包括基因家族的重建,可以提供对人工产卵栖息地对募集和种群水平遗传多样性的长期影响的深刻见解。
更新日期:2020-03-20
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