Gene expression clines reveal local adaptation and associated trade-offs at a continental scale.
Gene expression clines reveal local adaptation and associated trade-offs at a continental scale.
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DOI：
10.1038/srep32975
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发表时间：
2016-09-07
影响因子：
4.6
通讯作者：
Snook RR
中科院分区：
文献类型：
--
作者：
Porcelli D;Westram AM;Pascual M;Gaston KJ;Butlin RK;Snook RR
局部适应，即在一个环境中的适应是以另一个环境中的成本为代价的，它应该导致生活史特征之间的空间差异，并可能对种群的持久性至关重要。最近的研究寻求局部适应的基因组信号，但往往局限于代表一个物种分布的两个环境不同地点的实验室种群。我们测量了雄性小果蝇的基因表达，作为健康的代理，占据了20°纬度和11 °C的温度范围。独一无二的是，我们抽样了六个种群，并研究了常见的园艺和半自然反应，以确定局部适应的信号。我们发现了截然不同的投资模式：与纬度正相关的转录本在代谢过程中富含，在所有组织中都表达，而负相关转录本在生殖过程中富含，主要在睾丸中表达。当只使用末端种群时，将我们的结果与以前的研究进行比较，我们发现局部适应模式是模糊的。虽然在广泛分布的物种中代谢和生殖功能之间的表型权衡是众所周知的，但我们的结果确定了可能对此负责的大陆范围内潜在的遗传和组织反应。这可能有助于理解环境变化下的种群持久性。
Local adaptation, where fitness in one environment comes at a cost in another, should lead to spatial variation in trade-offs between life history traits and may be critical for population persistence. Recent studies have sought genomic signals of local adaptation, but often have been limited to laboratory populations representing two environmentally different locations of a species’ distribution. We measured gene expression, as a proxy for fitness, in males of Drosophila subobscura, occupying a 20° latitudinal and 11 °C thermal range. Uniquely, we sampled six populations and studied both common garden and semi-natural responses to identify signals of local adaptation. We found contrasting patterns of investment: transcripts with expression positively correlated to latitude were enriched for metabolic processes, expressed across all tissues whereas negatively correlated transcripts were enriched for reproductive processes, expressed primarily in testes. When using only the end populations, to compare our results to previous studies, we found that locally adaptive patterns were obscured. While phenotypic trade-offs between metabolic and reproductive functions across widespread species are well-known, our results identify underlying genetic and tissue responses at a continental scale that may be responsible for this. This may contribute to understanding population persistence under environmental change.
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影响因子：
2.1
作者：
Fabian DK;Lack JB;Mathur V;Schlötterer C;Schmidt PS;Pool JE;Flatt T
通讯作者：
Flatt T
影响因子：
4.9
作者：
Fabian DK;Kapun M;Nolte V;Kofler R;Schmidt PS;Schlötterer C;Flatt T
通讯作者：
Flatt T
DOI：
10.1093/bioinformatics/bts565
发表时间：
2012-12-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Fu L;Niu B;Zhu Z;Wu S;Li W
通讯作者：
Li W
影响因子：
56.9
作者：
Balanya, Joan;Oller, Josep M.;Serra, Luis
通讯作者：
Serra, Luis
影响因子：
4.4
作者：
Catalán A;Hutter S;Parsch J
通讯作者：
Parsch J