New insights into the population biology of endoparasitic Rafflesiaceae

Parasitic plants demonstrate a diversity of growth strategies, life histories, and developmental and physiological characteristics. Most research to date has focused on a narrow range of parasitic taxa, particularly in the Orobanchaceae, while the other independent origins of parasitism have largely gone unstudied. One type of parasite that has received relatively little attention are the endophytic parasites, which have a fascinating growth strategy where the parasite is embedded within the host tissue, with the flower the only externally visibly plant part. Endophytic growth makes it challenging to understand basic aspects of species biology, such as the size of a given parasite, the number of parasites per host, and the genetic diversity of populations. Recent studies by Barkman et al. (2017) and Pelser et al. (2017) have used microsatellite genotyping to investigate the population biology of endoparasitic Rafflesiaceae species in Asia. They show the potential for extensive parasite spread within a host vine and the strong partitioning of genetic diversity by host. These species are also shown to have an outcrossing mating system. However, these studies suggest different reproductive strategies, one supporting monoecy and one suggesting dioecy. Overall, these studies partly “lift the lid” on the cryptic biology of Rafflesia and the Rafflesiaceae and open the door for future comparative studies between endophytic and free-living parasitic plants.     

Genetic diversity of the threatened Chinese endemic plant,Sinowilsonia henryi Hemsi. (Hamamelidaceae), revealed by inter-simple sequence repeat (ISSR) markers

Sinowilsonia henryi Hemsi., the only representative of the monotypic genus Sinowilsonia Hemsi. (Hamamelidaceae), is a threatened plant endemic to China with high phylogenetical, ecological and economical values. In the present study, inter-simple sequence repeat (ISSR) markers were employed to investigate the genetic diversity and differentiation of 214 individuals sampled from 14 populations. Fifteen selected primers yielded a total of 178 bright and discernible bands. The genetic diversity was low at the population level (h = 0.1025; I = 0.1506; PPL = 26.7%), but quite high at the species level (h = 0.2449; I = 0.3690; PPL = 72.5%). In line with the limited gene flow (N_m = 0.3537), the hierarchical analysis of molecular variance (AMOVA) revealed pronounced genetic differentiation among populations (Φ_ST = 0.6639). Furthermore, the Mantel test revealed a significant correlation between genetic and geographic distances among populations (r = 0.688, P = 0.001), indicating the role of geographic isolation in shaping its present population genetic structure. The present patterns of genetic diversity of S. henryi were assumed to result largely from its evolutionary history and geographic factors. Based on these findings, conservation strategies were proposed to preserve this threatened plant.     

Development of Ty1-copia retrotransposon-based SSAP molecular markers for the study of genetic diversity in peach

Sequence-specific amplified polymorphism (SSAP) technology is a novel, anchored PCR approach derived from AFLP, which amplifies the region between a transposon insertion and an adjacent restriction site and have higher levels of polymorphism. In the current study, we developed 16 SSAP markers based on the long terminal repeat (LTR) sequences of Ty1-copia retrotransposons in the peach and used them for DNA profiling of 52 individual peaches: 44 peach cultivars and 8 ornamental peaches. These primer combinations produced a total of 1,553 fragments and 1,517 polymorphic bands with a polymorphism percentage of 97.7%. Furthermore, the Shannon's information index of each primer combination ranged from 0.1593 to 0.4456. Neighbor-joining analyses revealed two main genetic clusters, corresponding to the fruit flesh types: (A-1) MF (melting flesh) with clingstone and ornamental peaches; (A-2) MF with freestone and NMF (non-melting flesh) with clingstone. Finally, cluster analyses revealed that all ornamental peaches are closely related to the MF with clingstone peach cultivars. The application of these primer combinations identified using SSAP will facilitate future cultivar identification and germplasm management in peaches.     

Quorum-sensing- and type VI secretion-mediated spatiotemporal cell death drives genetic diversity in Vibrio cholerae

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Island properties dominate species traits in determining plant colonizations in an archipelago system

The extrinsic determinants hypothesis emphasizes the essential role of environmental heterogeneity in species’ colonization. Consequently, high resident species diversity can increase community susceptibility to colonizations because good habitats may support more species that are functionally similar to colonizers. On the other hand, colonization success is also likely to depend on species traits. We tested the relative importance of environmental characteristics and species traits in determining colonization success using census data of 587 vascular plant species collected about 70 yr apart from 471 islands in the archipelago of SW Finland. More specifically, we explored potential new colonization as a function of island properties (e.g. location, area, habitat diversity, number of resident species per unit area), species traits (e.g. plant height, life-form, dispersal vector, Ellenberg indicator values, association with human impact), and species’ historical distributions (number of inhabited islands, nearest occurrence). Island properties and species’ historical distributions were more effective than plant traits in explaining colonization outcomes. Contrary to the extrinsic determinants hypothesis, colonization success was neither associated with resident species diversity nor habitat diversity per se, although colonization was lowest on sparsely vegetated islands. Our findings lead us to propose that while plant traits related to dispersal and establishment may enhance colonization, predictions of plant colonizations primarily require understanding of habitat properties and species’ historical distributions.