| 1. |
- Erlichman, Adèle, et al.
(author)
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Planting long-lived trees in a warming climate : Theory shows the importance of stage-dependent climatic tolerance
- 2024
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In: Evolutionary Applications. - : John Wiley & Sons. - 1752-4571. ; 17:6
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Journal article (peer-reviewed)abstract
- Climate change poses a particular threat to long-lived trees, which may not adapt or migrate fast enough to keep up with rising temperatures. Assisted gene flow could facilitate adaptation of populations to future climates by using managed translocation of seeds from a warmer location (provenance) within the current range of a species. Finding the provenance that will perform best in terms of survival or growth is complicated by a trade-off. Because trees face a rapidly changing climate during their long lives, the alleles that confer optimal performance may vary across their lifespan. For instance, trees from warmer provenances could be well adapted as adults but suffer from colder temperatures while juvenile. Here we use a stage-structured model, using both analytical predictions and numerical simulations, to determine which provenance would maximize the survival of a cohort of long-lived trees in a changing climate. We parameterize our simulations using empirically estimated demographic transition matrices for 20 long-lived tree species. Unable to find reliable quantitative estimates of how climatic tolerance changes across stages in these same species, we varied this parameter to study its effect. Both our mathematical model and simulations predict that the best provenance depends strongly on how fast the climate changes and also how climatic tolerance varies across the lifespan of a tree. We thus call for increased empirical efforts to measure how climate tolerance changes over life in long-lived species, as our model suggests that it should strongly influence the best provenance for assisted gene flow.
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| 2. |
- Sandell, Linnea, et al.
(author)
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Fitness Effects of Mutations : An Assessment of PROVEAN Predictions Using Mutation Accumulation Data
- 2022
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In: Genome Biology and Evolution. - : Oxford University Press (OUP). - 1759-6653. ; 14:1
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Journal article (peer-reviewed)abstract
- Predicting fitness in natural populations is a major challenge in biology. It may be possible to leverage fast-accumulating genomic data sets to infer the fitness effects of mutant alleles, allowing evolutionary questions to be addressed in any organism. In this paper, we investigate the utility of one such tool, called PROVEAN. This program compares a query sequence with existing data to provide an alignment-based score for any protein variant, with scores categorized as neutral or deleterious based on a pre-set threshold. PROVEAN has been used widely in evolutionary studies, for example, to estimate mutation load in natural populations, but has not been formally tested as a predictor of aggregate mutational effects on fitness. Using three large published data sets on the genome sequences of laboratory mutation accumulation lines, we assessed how well PROVEAN predicted the actual fitness patterns observed, relative to other metrics. In most cases, we find that a simple count of the total number of mutant proteins is a better predictor of fitness than the number of proteins with variants scored as deleterious by PROVEAN. We also find that the sum of all mutant protein scores explains variation in fitness better than the number of mutant proteins in one of the data sets. We discuss the implications of these results for studies of populations in the wild.
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| 3. |
- Söderström, Emmie, et al.
(author)
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Healthcare Professionals Perceptions of Promoting Healthy Lifestyle Behaviors in Pregnant Migrant Women and the Potential of a Digital Support Tool-A Qualitative Study
- 2022
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In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 19:4
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Journal article (peer-reviewed)abstract
- Eating healthily and being physically active during pregnancy are important for maternal and offspring health. Maternity healthcare is a key arena for health promotion; however, 20% of pregnant women in Sweden are foreign-born, which may reduce reach due to language and cultural barriers. The aims of this study were to explore healthcare professionals perceptions about (a) promoting health behaviors (i.e., healthy diet, physical activity, and weight gain) among Arabic- and Somali-speaking pregnant women and (b) how a translated version of the previously evaluated Swedish app (HealthyMoms) can be tailored and used as a tool in their clinical work. Healthcare professionals in Swedish maternity care (n = 14) were interviewed. Data were analyzed using inductive thematic analysis. Healthcare professionals expressed challenges in health promotion work, including cultural and educational aspects and low awareness of health behaviors among women themselves and their social environment. Further, a lack of resources within the clinical practice and a need for cultural awareness among healthcare professionals were highlighted. Finally, it was perceived that a translated app has potential to provide basic and culturally adjusted information, facilitate communication and thus has potential to become a helpful tool in maternity care to support healthy lifestyle behaviors in Arabic- and Somali-speaking pregnant women.
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