ISSR markers and morphometry determine genetic diversity and population structure in Hedera helix L.

Hedera helix L. is an invasive, but medicinally important plant. In Iran, there is no available study on the H. helix population to reveal the genetic diversity and population structure. Fifty-six individual plants belonging to nine geographical populations were collected in four provinces of Iran. High genetic diversity, polymorphisms, and a Shannon diversity index of 0.269 were detected in Mazandaran, Kandovan (Population 3). Analysis of the molecular variance indicated 40% of total genetic variation of the whole population was present in the subpopulation. A high genetic similarity (0.922) between plant Populations 5 (Kermanshah; Islamabad) and 6 (Kermanshah; Paveh) was noted. On the other hand, a low genetic similarity was observed between plant Populations 1 (Tehran; Darband) and 8 (Ardabil; Hur). The Mantel test revealed a correlation between the genetic and geographical distances. Furthermore, it demonstrated the isolation mechanism responsible for the population structure in the H. helix plant populations. The principal component analysis explained the majority of the variation in the morphological characteristics. Three components explained 87% of the variation, and the first component explained 60% of the variation. For instance, the leaf morphology showed a correlation of > 0.7 between leaf morphological and floral characters. The plant leaves and quantitative flower characteristics separated the plant populations according to the differences in length. The current results have implications for plant conservation and management.

Context matters: the landscape matrix determines the population genetic structure of temperate forest herbs across Europe

Context Plant populations in agricultural landscapes are mostly fragmented and their functional connectivity often depends on seed and pollen dispersal by animals. However, little is known about how the interactions of seed and pollen dispersers with the agricultural matrix translate into gene flow among plant populations. Objectives We aimed to identify effects of the landscape structure on the genetic diversity within, and the genetic differentiation among, spatially isolated populations of three temperate forest herbs. We asked, whether different arable crops have different effects, and whether the orientation of linear landscape elements relative to the gene dispersal direction matters. Methods We analysed the species’ population genetic structures in seven agricultural landscapes across temperate Europe using microsatellite markers. These were modelled as a function of landscape composition and configuration, which we quantified in buffer zones around, and in rectangular landscape strips between, plant populations. Results Landscape effects were diverse and often contrasting between species, reflecting their association with different pollen- or seed dispersal vectors. Differentiating crop types rather than lumping them together yielded higher proportions of explained variation. Some linear landscape elements had both a channelling and hampering effect on gene flow, depending on their orientation. Conclusions Landscape structure is a more important determinant of the species’ population genetic structure than habitat loss and fragmentation per se. Landscape planning with the aim to enhance the functional connectivity among spatially isolated plant populations should consider that even species of the same ecological guild might show distinct responses to the landscape structure.

Potential effects of life history on demographic genetic structure in stage-structured plant populations

Standing genetic variation, or genetic diversity, is a source of adaptive evolution, and is crucial for long-term population persistence under environmental changes. One empirical method to predict the temporal dynamics of standing genetic variation in age- or stage-structured populations is to compare genetic diversity and composition among age/stage classes. The resultant within-population genetic structure, sometimes referred to as demographic genetic structure, has been regarded as a proxy of potential genetic changes that accompany sequential generation turnover. However, especially in stage-structured plant populations, individuals in more juvenile stages do not necessarily represent future populations, as they might die, stop growing, or retrogress over the course of life history. How demographic genetic structure is subjected to life history and whether it is a good proxy of temporal genetic dynamics had remained unclear. Here, we developed a matrix model which well describes temporal dynamics of expected heterozygosity, a common proxy of genetic diversity, for a neutral locus in stage-structured populations under equilibrium assumption. Based on the model, two indices of demographic genetic structure were formulated: relative ratio of expected heterozygosity and genetic differentiation among stage classes. We found that the two indices were largely determined by stable stage distribution and population size, and that they did not show clear correlations with the change rate of genetic diversity, indicating that inferring future genetic diversity from demographic genetic structure conventionally is misleading. Our study facilitates reliable interpretation on empirical demographic genetic data.

Genetic Profiling of Sida rhombifolia Originated from Several Indonesian Ethnicities Based on Sequence-Related Amplified Polymorphism Markers

Sida rhombifolia is one of wild flowering plants that grows easily in many habitats with moderate humidity, with some usefulness in traditional medicine. Genetic characterization of Sida rhombifolia accessions originated from 12 ethnicities of Indonesia was analyzed based on Sequence-Related Amplified Polymorphism (SRAP) Markers. The genomic DNA were extracted from leaf samples and then were characterized by using the SRAP marker system according to Li and Quiros (2001). Nine pairs of SRAP primer resulted high polymorphic bands and were used in the genetic profiling. The data analysis was performed using GenAlEx to calculate genetic distance, Principal coordinate analysis, and Analysis of Molecular Variance (AMOVA), also using POPGENE to assess genetic diversity (Hs and Ht) and Nm to predict gene flow among populations. The coordinate analysis showed that the accessions originated from ethnicities along Wallacean line tend to differ genetically from most other locations. However, the results of analysis of molecular variance suggested that there were only slight differences (0.1%) found between ethnicities, while most genetic variances (99.9%) were found mostly among accessions within populations. The results suggested that there was an extensive genetic flow and plant spreading among Sida rhombifolia plant populations, resulting more homogenous genetic characters among most populations, while high diversity within population. The calculation of the number of migration (Nm = 1.7341) confirmed that the high rate of gene flow had occurred between populations.

Generalizable approaches for genomic prediction of metabolites in plants

Plant metabolites are important for plant breeders to improve nutrition and agronomic performance, yet integrating selection for metabolomic traits is limited by phenotyping expense and limited genetic characterization, especially of uncommon metabolites. As such, developing biologically-based and generalizable genomic selection methods for metabolites that are transferable across plant populations would benefit plant breeding programs. We tested genomic prediction accuracy for more than 600 metabolites measured by GC-MS and LC-MS in oat (Avena sativa L.) seed. Using a discovery germplasm panel, we conducted metabolite GWAS (mGWAS) and selected loci to use in multi-kernel models that encompassed metabolome-wide mGWAS results, or mGWAS from specific metabolite structures or biosynthetic pathways. Metabolite kernels developed from LC-MS metabolites in the discovery panel improved prediction accuracy of LC-MS metabolite traits in the validation panel, consisting of more advanced breeding lines. No approach, however, improved prediction accuracy for GC-MS metabolites. We tested if similar metabolites had consistent model ranks and found that, while different metrics of similarity had different results, using annotation-free methods to group metabolites led to consistent within-group model rankings. Overall, testing biological rationales for developing kernels for genomic prediction across populations, contributes to developing frameworks for plant breeding for metabolite traits.

Population structure in Neotropical plants: integrating pollination biology, topography and climatic niches

Animal pollinators mediate gene flow among plant populations, but, in contrast to well-studied topographic and (Pleistocene) environmental isolating barriers, their impact on population genetic differentiation remains largely unexplored. Comparatively investigating how these multifarious factors drive microevolutionary histories is, however, crucial for better resolving macroevolutionary patterns of plant diversification. We here combined genomic analyses with landscape genetics and niche modelling across six related Neotropical plant species (424 individuals across 33 localities) differing in pollination strategy to test the hypothesis that highly mobile (vertebrate) pollinators more effectively link isolated localities than less mobile (bee) pollinators. We found consistently higher genetic differentiation (FST) among localities of bee- than vertebrate-pollinated species with increasing geographic distance, topographic barriers and historic climatic instability. High admixture among montane populations further suggested relative climatic stability of Neotropical montane forests during the Pleistocene. Overall, our results indicate that pollinators may differentially impact the potential for allopatric speciation, thereby critically influencing diversification histories at macroevolutionary scales.

Forest fires and climate-induced tree range shifts in the western US

Due to climate change, plant populations experience environmental conditions to which they are not adapted. Our understanding of the next century’s vegetation geography depends on the distance, direction, and rate at which plant distributions shift in response to a changing climate. In this study we test the sensitivity of tree range shifts (measured as the difference between seedling and mature tree ranges in climate space) to wildfire occurrence, using 74,069 Forest Inventory Analysis plots across nine states in the western United States. Wildfire significantly increased the seedling-only range displacement for 2 of the 8 tree species in which seedling-only plots were displaced from tree-plus-seedling plots in the same direction with and without recent fire. The direction of climatic displacement was consistent with that expected for warmer and drier conditions. The greater seedling-only range displacement observed across burned plots suggests that fire can accelerate climate-related range shifts and that fire and fire management will play a role in the rate of vegetation redistribution in response to climate change.

Functional diversification gave rise to allelic specialization in a rice NLR immune receptor pair

Cooperation between receptors from the NLR superfamily is important for intracellular activation of immune responses. NLRs can function in pairs that, upon pathogen recognition, trigger hypersensitive cell death and stop pathogen invasion. Natural selection drives specialization of host immune receptors towards an optimal response, whilst keeping a tight regulation of immunity in the absence of pathogens. However, the molecular basis of co-adaptation and specialization between paired NLRs remains largely unknown. Here, we describe functional specialization in alleles of the rice NLR pair Pik that confers resistance to strains of the blast fungus Magnaporthe oryzae harbouring AVR-Pik effectors. We revealed that matching pairs of allelic Pik NLRs mount effective immune responses whereas mismatched pairs lead to autoimmune phenotypes, a hallmark of hybrid necrosis in both natural and domesticated plant populations. We further showed that allelic specialization is largely underpinned by a single amino acid polymorphism that determines preferential association between matching pairs of Pik NLRs. These results provide a framework for how functionally linked immune receptors undergo co-adaptation to provide an effective and regulated immune response against pathogens. Understanding the molecular constraints that shape paired NLR evolution has implications beyond plant immunity given that hybrid necrosis can drive reproductive isolation.