Testing source elevation versus genotype as predictors of sugar pine performance in a post-fire restoration planting

IF 2.7 3区 环境科学与生态学 Q2 ECOLOGY
Ecosphere Pub Date : 2024-10-08 DOI:10.1002/ecs2.70010
Emily V. Moran, Rainbow DeSilva, Courtney Canning, Jessica W. Wright
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引用次数: 0

Abstract

Climate change is motivating a reassessment of how seeds are selected for reforestation, as rapid environmental change can lead to local maladaptation in trees. Genetic association studies and past seed source climate both have the potential to help identify appropriate planting stock, but these techniques have not been compared and tested as part of an operational planting program. In this study, we combined an analysis of single nucleotide polymorphisms (SNPs) associated with environmental gradients in sugar pine (Pinus lambertiana) with an analysis of post-fire seedling survival and growth in a restoration experiment. Our genotype–environment association (GEA) tests of 92 individuals from varying climates within CA revealed 829 SNPs (out of 300,604) with significant association with climate gradients, especially April snowpack. Of these, 323 either had annotations that suggested potential functional importance or were identified by two different methods. We then built Bayesian models of survival and growth for all seedlings in a separate post-fire planting experiment, to test the relative predictive ability of source elevation (a common proxy for source climate) versus the proportion of seedling alleles expected to be locally advantageous based on GEA. Across three sites within the King Fire scar in Eldorado National Forest in 2017, 2018, and 2019, 1774 seedlings were planted. Of these, 206 had enough green needles in 2020 to allow sample collection, and 161 were successfully genotyped. We found that source elevation was generally better at predicting seedling performance than genotype indices, perhaps because of the limited scope of the association analysis. Seed sources from 500 to 1800 ft (152.4–548.6 m) lower in elevation, and one seed zone further south generally performed as well or better than local seed sources. This result, and those of similar previous studies, suggest that “climate matching” using past climate information for existing seed sourcing units is a reasonable starting point for finding seedlings suited to already-altered planting site climate conditions. However, further tests with more extensive genomic and performance data may improve the utility of genotype information for seed selection.

Abstract Image

测试源海拔与基因型对火灾后恢复种植的糖松性能的预测作用
气候变化促使人们重新评估如何为重新造林选择种子,因为快速的环境变化会导致树木在当地适应不良。遗传关联研究和过去的种源气候都有可能帮助确定合适的种植树种,但这些技术还没有在实际种植计划中进行过比较和测试。在这项研究中,我们将与糖松(Pinus lambertiana)环境梯度相关的单核苷酸多态性(SNPs)分析与一项恢复实验中的火灾后幼苗存活和生长分析相结合。我们对加利福尼亚州不同气候条件下的 92 个个体进行了基因型与环境关联(GEA)测试,结果显示,在 300,604 个 SNPs 中,有 829 个 SNPs 与气候梯度(尤其是四月积雪)有显著关联。其中,323 个SNPs 的注释显示了潜在的功能重要性,或者是通过两种不同的方法确定的。然后,我们在一个单独的火灾后种植实验中为所有幼苗的存活和生长建立了贝叶斯模型,以检验源海拔(源气候的常用替代物)与基于 GEA 的幼苗等位基因在当地的优势比例的相对预测能力。2017 年、2018 年和 2019 年,在埃尔多拉多国家森林国王火痕的三个地点,共种植了 1774 株幼苗。其中 206 株在 2020 年有足够的绿色针叶,可以进行样本采集,161 株成功进行了基因分型。我们发现,一般来说,种源海拔比基因型指数更能预测幼苗的表现,这可能是因为关联分析的范围有限。海拔较低的 500 至 1800 英尺(152.4-548.6 米)的种源以及更靠南的一个种源区的表现通常与当地种源相当或更好。这一结果以及之前类似研究的结果表明,利用现有种子来源单位过去的气候信息进行 "气候匹配",是寻找适合已经改变的种植地气候条件的种苗的合理起点。不过,利用更广泛的基因组和性能数据进行进一步测试可能会提高基因型信息在种子选择中的实用性。
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来源期刊
Ecosphere
Ecosphere ECOLOGY-
CiteScore
4.70
自引率
3.70%
发文量
378
审稿时长
15 weeks
期刊介绍: The scope of Ecosphere is as broad as the science of ecology itself. The journal welcomes submissions from all sub-disciplines of ecological science, as well as interdisciplinary studies relating to ecology. The journal''s goal is to provide a rapid-publication, online-only, open-access alternative to ESA''s other journals, while maintaining the rigorous standards of peer review for which ESA publications are renowned.
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