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Richardson, D. M.

Publications and source records attributed to Richardson, D. M..

4 recordsLinked to original sources

Shaping of developmental gradients through selection on multiple loci in Antirrhinum

Development depends on precise shaping of molecular gradients, but how natural selection acts to establish precision is unknown. Here we analyse genes that control differences in the gradient of yellow flower colour between two varieties of snapdragon (Antirrhinum). We show that these differences depend, in part, on cis regulatory variation in the pigment biosynthetic gene, FLAVIA (FLA). FLA interacts multiplicatively with three other loci, one of which is a trans-acting regulator of FLA, to further shape the yellow gradient. All the loci exhibit clines at a hybrid zone, with widths that correlate with phenotypic effect, showing how selection can hone gradient shape with remarkable precision by acting on cis and trans variation at multiple loci.

evolutionary biology↗

Genomic tree scans identify loci underlying adaptive peaks in Antirrhinum

A key question in evolutionary biology is how barriers to gene flow operate and arise between populations, leading to speciation. Barriers are typically identified by comparing populations distinguished by phenotype, geographical location and/or environment. However, such prior classifications may bias recovery towards features obvious to the human eye, influencing mechanistic interpretations. Here we develop a method blind to prior classifications. We apply it to 18 Antirrhinum populations occupying habitats from coastal to alpine. By scanning the genome for regions with deeply rooted similar trees, we identify a single multi-locus partition, comprising less than 0.5% of the genome. It derives from eight genes, three newly identified here, which interact to generate complementary pollinator guides, likely corresponding to two adaptive peaks in a fitness landscape. Hybrid genotypes fall in a fitness valley, allowing the partition to be maintained through hybrid incompatibility and creating steep clines in allele frequency at a hybrid zone. Another partition derives from a single locus linked to a gene controlling plant height. The locus exhibits a shallow cline in allele frequency across an eco-geographic barrier and may be eco-adaptive. Our results suggest that two ancestral subspecies underwent extensive gene flow except at a few barrier loci, showing how both hybrid incompatibility and eco-adaptation can operate to maintain diversity.

evolutionary biology↗

Jack of all trades and master of most: Carpobrotus taxa show no trade-off in reproductive strategies

O_LIThe ability to reproduce via multiple strategies is crucial for the invasion success of alien plant species. Here, we use Carpobrotus taxa (species and hybrids) to explore how trade-offs between and within these strategies may influence plant invasion dynamics. Native to South Africa, Carpobrotus plants are globally prominent in coastal ecosystems, reproducing by seed and clonally, and frequently hybridizing in both native and introduced regions. Three genetically distinct clusters were previously identified, with evidence of hybridization within and between these clusters in native and non-native ranges. C_LIO_LIWe collected fruit samples from populations representing the genetic clusters and their hybrids across native and non-native ranges (i.e., Europe, California, and New Zealand). These genetic clusters reflect the complex taxonomy of Carpobrotus, where species boundaries are unclear due to hybridization and morphological similarity. We then assessed seed set, seed mass, germination rates, and early growth under varying abiotic conditions alongside genetic estimates of clonality. C_LIO_LIGermination rates were influenced by temperature, moisture, and nutrient levels. Non-native populations demonstrated higher seed set, seed mass, and germination success compared to native populations, indicating a stronger investment in sexual reproduction. These populations also showed higher levels of clonality, shown by lower genotypic richness, suggesting that both reproductive strategies enhance invasive potential. C_LIO_LIHigh-clonality populations produced more seeds, demonstrating that the two reproductive strategies are not mutually exclusive. These results highlight the importance of multiple reproductive strategies for the establishment and spread of Carpobrotus taxa and provide insights into the mechanisms driving their global success. C_LI

plant biology↗

G-IRAE: a Generalised approach for linking the total Impact of invasion to species' Range, Abundance and per-unit Effects

The total impact of an alien species was conceptualised as the product of its range size, local abundance and per-unit effect in a seminal paper by Parker and colleagues in 1999, but a practical approach for estimating the three components has been lacking. Here, we generalise the impact formula and, through use of regression models, estimate the relationship between the three components of impact, an approach we term G-IRAE (Generalised Impact - Range size - Abundance - per-unit Effect). Moreover, we show that G-IRAE can also be applied to damage and management costs. We propose two methods for applying G-IRAE. The species-specific method computes the relationship for a given species across multiple invaded sites or regions, assuming a constant per-unit effect across the invaded area. The multi-species method combines data from multiple species across multiple sites or regions to calculate a per-unit effect for each species. While the species-specific method is more accurate, it requires a large amount of data for each species. The multi-species method is more easily applicable and data-parsimonious. We illustrate the multi-species method using data about money spent managing plant invasions in different biomes of South Africa. We found clear differences between species in terms of money spent per unit area invaded, with per-unit expenditures varying substantially between biomes for some species. G-IRAE offers a versatile and practical method which can be applied to many different types of data, to better understand and manage invasions.

ecology↗