DALI shines a light on remote homologs: One hundred discoveries

Structural comparison reveals remote homology that often fails to be detected by sequence comparison. The DALI web server ( http://ekhidna2.biocenter.helsinki.fi/dali ) is a platform for structural analysis that provides database searches and interactive visualization, including structural alignments annotated with secondary structure, protein families and sequence logos, and 3D structure superimposition supported by color-coded sequence and structure conservation. Here, we are using DALI to mine the AlphaFold Database version 1, which increased the structural coverage of protein families by 20%. We found 100 remote homologous relationships hitherto unreported in the current reference database for protein domains, Pfam 35.0. In particular, we linked 35 domains of unknown function (DUFs) to the previously characterized families, generating a functional hypothesis that can be explored downstream in structural biology studies. Other findings include gene fusions, tandem duplications, and adjustments to domain boundaries. The evidence for homology can be browsed interactively through live examples on DALI's website.     

Salinity appears to be the main factor shaping spatial COI diversity of Corbicula lineages within the Chinese Yangtze River Basin

Aim

To date, few studies have examined the phylogenetics of Corbicula clams in their native range and the environmental parameters influencing their distribution, although this could provide great insights into the biological adaptation and invasion dynamics of Corbicula clams. We sought to identify the genetic lineages of native Corbicula clams and elucidate the environmental factors shaping the distributions of identified lineages.

Location

China, mainly the Yangtze River Basin.

Methods

The alignment comprised 558 COI sequences including samples from China and 222 COI sequences from published studies. This dataset was used to generate phylogenetic trees and compare population diversity. We used dbRDA method to assess the relationship between these COI data and environmental factors measured to identify the important factors affecting Corbicula's distribution.

Results

The COI phylogenetic tree delineated the monophyly of 3 major COI clades and 77 distinct COI haplotypes in the Yangtze River Basin. The invasive lineage C/S (FW17) was not identified in our sampling in China, while invasive lineages A/R (FW5 = Hap6), B (FW1 = Hap17) and Rlc (FW4 = Hap43) were identified, abundant and widely distributed in the middle and lower reaches of Yangtze River. Focusing on populations from Yangtze River Basin, both the COI haplotype and nucleotide diversity in the lakes along the Yangtze River increased with longitude, except for the river mouth population. The AMOVA tests showed significant differentiation between the middle and lower reaches of the Yangtze River and among populations. The dbRDA results suggested that the parameter chloride explained most of the spatial COI haplotype distribution variation in the Yangtze River Basin, with the three invasive lineages tolerating broad fluctuations of salinity (chloride levels ranging from 4 to 60 mg/L).

Conclusions

The Corbicula COI haplotypes found within the Yangtze River Basin had distinct distribution preferences, with the invasive androgenetic lineages being the most abundant and widely distributed. Genetic diversity was higher in this native region than in invaded areas in Europe and America, while it decreased with increasing distance from the river mouth. Salinity appeared to be the main environmental factor shaping the COI haplotype distribution of Corbicula lineages within their native range.     

Behavioral responses to variations in population size: a stochastic evolutionary game

The effects of variations in population size may be importantin the evolution of individual behavior. We use simulation modelsto study the stochastic evolutionary contest between two behavioralstrategies affecting individual survival and reproduction, oneconservative (low fecundity and low mortality risk), the otherrisky (high fecundity and high mortality risk). Trade-offs ofthis kind are involved in many types of behavior, includingforaging under risk of predation, parental care, size versusnumber of offspring, and so on. We treat the combined effectsof demographic and environmental variance, demographic variancebeing important for small populations and environmental variancebeing important at all population levels. With high environmentalvariance, population numbers fluctuate sharply, so that demographicvariance becomes intermittently important. As a consequence,either behavioral morph may become fixed in the population,depending on initial conditions and on chance events. We treatboth phenotypic and genetic models. In a genetic model withthe heterozygote employing the risky strategy, both behavioralmorphs may coexist as a randomly fluctuating polymorphism.     

Multiple facets of biodiversity are threatened by mining-induced land-use change in the Brazilian Amazon

Aim

Mining is increasingly pressuring areas of critical importance for biodiversity conservation, such as the Brazilian Amazon. Biodiversity data are limited in the tropics, restricting the scope for risks to be appropriately estimated before mineral licensing decisions are made. As the distributions and range sizes of other taxa differ markedly from those of vertebrates—the common proxy for analysis of risk to biodiversity from mining—whether mining threatens lesser-studied taxonomic groups differentially at a regional scale is unclear.

Location

Brazilian Amazon.

Methods

We assess risks to several facets of biodiversity from industrial mining by comparing mining areas (within 70 km of an active mining lease) and areas unaffected by mining, employing species richness, species endemism, phylogenetic diversity and phylogenetic endemism metrics calculated for angiosperms, arthropods and vertebrates.

Results

Mining areas contained higher densities of species occurrence records than the unaffected landscape, and we accounted for this sampling bias in our analyses. None of the four biodiversity metrics differed between mining and nonmining areas for vertebrates. For arthropods, species endemism was greater in mined areas. Mined areas also had greater angiosperm species richness, phylogenetic diversity and phylogenetic endemism, although less species endemism than unmined areas.

Main Conclusions

Unlike for vertebrates, facets of angiosperm and arthropod diversity are relatively higher in areas of mining activity, underscoring the need to consider multiple taxonomic groups and biodiversity facets when assessing risk and evaluating management options for mining threats. Particularly concerning is the proximity of mining to areas supporting deep evolutionary history, which may be impossible to recover or replace. As pressures to expand mining in the Amazon grow, impact assessments with broader taxonomic reach and metric focus will be vital to conserving biodiversity in mining regions.     

Beyond simple adaptation: Incorporating other evolutionary processes and concepts into eco-evolutionary dynamics

Studies of eco-evolutionary dynamics have integrated evolution with ecological processes at multiple scales (populations, communities and ecosystems) and with multiple interspecific interactions (antagonistic, mutualistic and competitive). However, evolution has often been conceptualised as a simple process: short-term directional adaptation that increases population growth. Here we argue that diverse other evolutionary processes, well studied in population genetics and evolutionary ecology, should also be considered to explore the full spectrum of feedback between ecological and evolutionary processes. Relevant but underappreciated processes include (1) drift and mutation, (2) disruptive selection causing lineage diversification or speciation reversal and (3) evolution driven by relative fitness differences that may decrease population growth. Because eco-evolutionary dynamics have often been studied by population and community ecologists, it will be important to incorporate a variety of concepts in population genetics and evolutionary ecology to better understand and predict eco-evolutionary dynamics in nature.     

Geographic patterns and climatic correlates of deep evolutionary legacies for angiosperm assemblages in China

Deep evolutionary histories can play an important role in assembling species into communities, but few studies have explored the effects of deep evolutionary histories on species assembly of angiosperms (flowering plants). Here we explore patterns of family divergence and diversification times (stem and crown ages, respectively) and phylogenetic fuses for angiosperm assemblages in 100 × 100 km grid cells across geographic and ecological gradients in China. We found that both family stem and crown ages of angiosperm assemblages are older in southeastern China with warm and humid climates than in northwestern China with cold and dry climates; these patterns are stronger for family stem ages than for family crown ages; families in colder and drier climates are more closely related across the family-level angiosperm phylogeny; and family phylogenetic fuses are, on average, longer for angiosperm assemblages in warm and humid climates than in cold and dry climate. We conclude that the fact that deep evolutionary histories, which were measured as family stem and crown ages and family phylogenetic fuses in this study, have shown strong geographic and ecological patterns suggests that deep evolutionary histories of angiosperms have profound effects on assembling angiosperm species into ecological communities.     

An omics evolutionary perspective on phytophagous insect–host plant interactions in Anastrepha obliqua: a review

Phytophagous insects have a close relationship with their host plants. For this reason, their interactions can lead to important changes in insect population dynamics and evolutionary trajectories. Next generation sequencing (NGS) has provided an opportunity to analyze omics data on a large scale, facilitating the change from a classical genetics approach to a more holistic understanding of the underlying molecular mechanisms of host plant use by insects. Most studies have been carried out on model species in Holarctic and temperate zones. In tropical zones, however, the effects of use of various host plants on evolutionary insect history is less understood. In the current review, we describe how omics methodologies help us to understand phytophagous insect–host plant interactions from an evolutionary perspective, using as example the Neotropical phytophagous insect West Indian fruit fly, Anastrepha obliqua (Macquart) (Diptera: Tephritidae), an economically important fruit crop pest in the Americas. Anastrepha obliqua could adopt a generalist or a specialist lifestyle. We first review the adaptive molecular mechanisms of phytophagous insects to host plants, and then describe the main tools to study phytophagous insect–host plant interactions in the era of omics sciences. The omics approaches will advance the understanding of insect molecular mechanisms and their influence on diversification and evolution. Finally, we discuss the importance of a multidisciplinary approach that integrates the use of omics tools and other, more classical methodologies in evolutionary studies.     

Specific resistance prevents the evolution of general resistance and facilitates disease emergence

Host-shifts, where pathogens jump from an ancestral host to a novel host, can be facilitated or impeded by standing variation in disease resistance, but only if resistance provides broad-spectrum general resistance against multiple pathogen species. Host resistance comes in many forms and includes both general resistance, as well as specific resistance, which may only be effective against a single pathogen species or even genotype. However, most evolutionary models consider only one of these forms of resistance, and we have less understanding of how these two forms of resistance evolve in tandem. Here, we develop a model that allows for the joint evolution of specific and general resistance and asks if the evolution of specific resistance drives a decrease in the evolution of general resistance. We also explore how these evolutionary outcomes affect the risk of foreign pathogen invasion and persistence. We show that in the presence of a single endemic pathogen, the two forms of resistance are strongly exclusionary. Critically, we find that specific resistance polymorphisms can prevent the evolution of general resistance, facilitating the invasion of foreign pathogens. We also show that specific resistance polymorphisms are a necessary condition for the successful establishment of foreign pathogens following invasion, as they prevent the exclusion of the foreign pathogen by the more transmissible endemic pathogen. Our results demonstrate the importance of considering the joint evolution of multiple forms of resistance when evaluating a population's susceptibility to foreign pathogens.     

MODERN AND HISTORICAL EVIDENCE FOR NATURAL HYBRIDIZATION BETWEEN SYMPATRIC SPECIES IN MANDARINA (PULMONATA: CAMAENIDAE)

Geographical and temporal variation in gene exchange between two endemic land snail species, Mandarina aureola and Mandarina ponderosa, was studied on Hahajima Island of the Bonin Islands. Allozyme variation in modern samples, and variation in the color and shell morphology of modern and fossil samples, suggest a complex geographical and historical pattern of hybridization. These two species occur in sympatry, and their shell morphologies and protein genotypes are markedly divergent. However, many specimens of M. aureola, collected from the middle region of the island, exhibit intermediate shell morphologies and possess marker alleles of M. ponderosa. Fossil samples of the two species strongly suggest that these intermediates were hybrids with M. ponderosa that were produced since the end of the Pleistocene. Each of these species, in addition, is subdivided into two genetically and morphologically divergent parapatric races. Interspecific hybridization appears to have produced genetical and morphological admixture among these four distinctive groups of populations. The past distribution and geographic variation of M. ponderosa can be traced in the distribution of M. ponderosa-derived genotypes in current populations of M. aureola. Temporal changes of the color pattern in the fossil populations of hybrids suggest that the traits introduced from M. ponderosa to M. aureola have been affected by natural selection and could replace traits of living species when advantageous. Moreover, these introgressed genes appeared to provide novel properties that enabled M. aureola to advance into a new environment. Relatively independent change in shell color and morphology further suggests mosaic evolution following the hybridization events. Connectively, these data reveal how hybridization events may be an important source of evolutionary novelties and make it clear that the phenomenon of reticulate evolution cannot be ignored.