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Biology subjects

Robertson, K. M.

Publications and source records attributed to Robertson, K. M..

3 recordsLinked to original sources

Fuel buildup shapes post-fire fuel decomposition through soil heating effects on plants, fungi, and soil chemistry

Forty percent of terrestrial ecosystems require recurrent fires engineered by feedbacks between fire and plant fuels. Fuel loads control fire intensity which alters soil nutrients and shapes soil microbial and plant community responses to fire. Changes to post-fire plant fuel production are well known to feed back to future fires, but post-fire decomposition of new fuels is poorly understood. Our study sought to quantify how pre-fire fuel loading impacted post-fire fuel decomposition through soil abiotic properties, plant and soil fungal communities. In a longleaf pine savanna, both near and away from overstory pines, we manipulated pre-fire plot fuel loads to modify soil heating. We then assessed how fuel load and soil heating influenced post-fire plant fuel decomposition through changes to soil chemistry, vegetation, and fungi. Larger fuel loads, particularly beneath pines, increased soil heating and reduced decomposition of newly deposited fuels during the eight months following fire. Fire intensity effects on soil nutrients had the most consistent effects on decomposition with plant and fungal communities playing secondary roles. This demonstrates how fuel load and soil heating influence post-fire decomposition through fire-driven changes to soil abiotic properties, plant communities, and soil fungi. Further, since fire effects on decomposition and fire-fuel feedbacks were temporally dynamic this illustrates the importance of considering fire-fuel feedbacks across time. Understanding the importance of these feedbacks among ecosystems can help increase our predictive ability to manage fuels and the effects of repeated fires.

ecology↗

Selection on ancestral genetic variation fuels parallel ecotype formation in bottlenose dolphins

What are the mechanisms that allow species to extend their ranges and adapt to the novel environmental conditions they find in the newly available habitat? The study of parallel adaptation of pairs of populations to similar environments can provide great insights into this question. Here, we test for parallel evolution driven by niche specialization in a highly social marine mammal, the common bottlenose dolphin, Tursiops truncatus, and investigate the origins of the genetic variation driving local adaptation. Coastal ecotypes of common bottlenose dolphins have recurrently emerged in multiple regions of the world from pelagic ecotype populations, when novel habitat became available. Analyzing the whole genomes of 57 individuals using comparative population genomics approaches, we found that coastal ecotype evolution was relatively independent between the Atlantic and Pacific, but related between different regions within the Atlantic. We show that parallel adaptation to coastal habitat was facilitated by repeated selection on ancient alleles present as standing genetic variation in the pelagic populations. Genes under parallel adaptation to coastal habitats have roles in cognitive abilities and feeding. Therefore, parallel adaptation in long-lived social species may be driven by a combination of ecological opportunities, selection acting on ancient variants, and stable behavioural transmission of ecological specialisations. Tried and tested genetic variation that has been subject to repeated bouts of selection, may promote linked adaptive variants with minimal pleiotropic effects, thereby facilitating their persistence at low frequency in source populations and enabling parallel evolution.

evolutionary biology↗

Characterising the microbiome from host shotgun sequencing data: bacterial and diatom community dynamics derived from killer whale skin

Recent exploration into the interactions and relationship between hosts and their microbiota has revealed a connection between many aspects of the hosts biology, health and associated microorganisms. Whereas amplicon sequencing has traditionally been used to characterise the microbiome, the increasing number of published population genomics datasets offer an underexploited opportunity to study microbial profiles from the host shotgun sequencing data. Here, we use sequence data originally generated from killer whale Orcinus orca skin biopsies for population genomics, to characterise the skin microbiome and investigate how host social and geographic factors influence the microbial community composition. Having identified 845 microbial taxa from 2.4 million reads that did not map to the killer whale reference genome, we found that both ecotypic and geographic factors influence community composition of killer whale skin microbiomes. Furthermore, we uncovered key taxa that drive the microbiome community composition and showed that they are embedded in unique networks, one of which is tentatively linked to diatom presence and poor skin condition. Community composition differed between Antarctic killer whales with and without diatom coverage, suggesting that the previously reported episodic migrations of Antarctic killer whales to warmer waters associated with skin turnover may control the effects of potentially pathogenic bacteria such as Tenacibaculum dicentrarchi. Our work demonstrates the feasibility of microbiome studies from host shotgun sequencing data and highlights the importance of metagenomics in understanding the relationship between host and microbial ecology.

evolutionary biology↗