TY - JOUR AU - Conte, Gina L. AU - Hodgins, Kathryn A. AU - Yeaman, Sam AU - Degner, Jon C. AU - Aitken, Sally N. AU - Rieseberg, Loren H. AU - Whitlock, Michael C. PY - 2017 DA - 2017/12/15 TI - Bioinformatically predicted deleterious mutations reveal complementation in the interior spruce hybrid complex JO - BMC Genomics SP - 970 VL - 18 IS - 1 AB - Mutation load is expected to be reduced in hybrids via complementation of deleterious alleles. While local adaptation of hybrids confounds phenotypic tests for reduced mutation load, it may be possible to assess variation in load by analyzing the distribution of putatively deleterious alleles. Here, we use this approach in the interior spruce (Picea glauca x P. engelmannii) hybrid complex, a group likely to suffer from high mutation load and in which hybrids exhibit local adaptation to intermediate conditions. We used PROVEAN to bioinformatically predict whether non-synonymous alleles are deleterious, based on conservation of the position and abnormality of the amino acid change. SN - 1471-2164 UR - https://doi.org/10.1186/s12864-017-4344-8 DO - 10.1186/s12864-017-4344-8 ID - Conte2017 ER -