Opposing effects of floral visitors and soil conditions on the determinants of competitive outcomes maintain species diversity in heterogeneous landscapes

Theory argues that both soil conditions and aboveground trophic interactions have equivalent potential to limit or promote plant diversity. However, it remains unexplored how they jointly modify the niche differences stabilising species coexistence and the average fitness differences driving competitive dominance. We conducted a field study in Mediterranean annual grasslands to parameterise population models of six competing plant species. Spatially explicit floral visitor assemblages and soil salinity variation were characterised for each species. Both floral visitors and soil salinity modified species population dynamics via direct changes in seed production and indirect changes in competitive responses. Although the magnitude and sign of these changes were species‐specific, floral visitors promoted coexistence at neighbourhood scales, while soil salinity did so over larger scales by changing the superior competitors’ identity. Our results show how below and aboveground interactions maintain diversity in heterogeneous landscapes through their opposing effects on the determinants of competitive outcomes.     

Deconstructing the native–exotic richness relationship in plants

Aim Classic theory suggests that species‐rich communities should be more resistant to the establishment of exotic species than species‐poor communities. Although this theory predicts that exotic species should be less diverse in regions that contain more native species, macroecological analyses often find that the correlation between exotic and native species richness is positive rather than negative. To reconcile results with theory, we explore to what extent climatic conditions, landscape heterogeneity and anthropogenic disturbance may explain the positive relationship between native and exotic plant richness. Location Catalonia (western Mediterranean region). Methods We integrated floristic records and GIS‐based environmental measures to make spatially explicit 10‐km grid cells. We asked whether the observed positive relationship between native and exotic plant richness (R²= 0.11) resulted from the addition of several negative correlations corresponding to different environmental conditions identified with cluster analysis. Moreover, we directly quantified the importance of common causal effects with a structural equation modelling framework. Results We found no evidence that the relationship between native and exotic plant richness was negative when the comparison was made within environmentally homogeneous groups. Although there were common factors explaining both native and exotic richness, mainly associated with landscape heterogeneity and human pressure, these factors only explained 17.2% of the total correlation. Nevertheless, when the comparison was restricted to native plants associated with human‐disturbed (i.e. ruderal) ecosystems, the relationship was stronger (R²= 0.52) and the fraction explained by common factors increased substantially (58.3%). Main conclusions While our results confirm that the positive correlation between exotic and native plant richness is in part explained by common extrinsic factors, they also highlight the great importance of anthropic factors that – by reducing biotic resistance – facilitate the establishment and spread of both exotic and native plants that tolerate disturbed environments.     

Marker-assisted introgression (MAI) of almond genes into the peach background: a fast method to mine and integrate novel variation from exotic sources in long intergeneration species

This paper proposes a new breeding strategy, marker-assisted introgression (MAI), to obtain lines of perennial species with a single introgressed fragment from a compatible species two generations after the interspecific hybrid. MAI allows enrichment of the genome of a species with genes from a wild or exotic relative in a short timeframe and with an intermediate step that allows a first exploration of genes/QTLs that the donor species can provide to the target crop. This method has three phases: (1) creating a large backcross one (BC1) population to select, with markers, a reduced number of individuals (15–30, called the prIL set) with a low number of introgressions; (2) phenotyping the prIL set for the traits of interest and inferring the inheritance and map position of segregating major genes/QTLs based on the known genotypes of the prILs; and (3) advancing selected lines carrying the traits of interest to a next generation of backcross or selfing to obtain individuals with a single introgression in the background of the elite commercial germplasm. The proof of concept of this strategy was implemented by using peach as the recurrent species and almond as the donor. The whole process can be done in 9–10 years as the identification of the first line with one introgression was after 5 years (2006–2011), and 4–5 additional years are needed for phenotypic evaluation of selected lines. The expansion of this method to other perennial clonally propagated crops and to other species of Prunus compatible with peach is discussed.     

The Allometry of Bee Proboscis Length and Its Uses in Ecology

Allometric relationships among morphological traits underlie important patterns in ecology. These relationships are often phylogenetically shared; thus quantifying allometric relationships may allow for estimating difficult-to-measure traits across species. One such trait, proboscis length in bees, is assumed to be important in structuring bee communities and plant-pollinator networks. However, it is difficult to measure and thus rarely included in ecological analyses. We measured intertegular distance (as a measure of body size) and proboscis length (glossa and prementum, both individually and combined) of 786 individual bees of 100 species across 5 of the 7 extant bee families (Hymenoptera: Apoidea: Anthophila). Using linear models and model selection, we determined which parameters provided the best estimate of proboscis length. We then used coefficients to estimate the relationship between intertegular distance and proboscis length, while also considering family. Using allometric equations with an estimation for a scaling coefficient between intertegular distance and proboscis length and coefficients for each family, we explain 91% of the variance in species-level means for bee proboscis length among bee species. However, within species, individual-level intertegular distance was a poor predictor of individual proboscis length. To make our findings easy to use, we created an R package that allows estimation of proboscis length for individual bee species by inputting only family and intertegular distance. The R package also calculates foraging distance and body mass based on previously published equations. Thus by considering both taxonomy and intertegular distance we enable accurate estimation of an ecologically and evolutionarily important trait.     

Linking species functional roles to their network roles

Species roles in ecological networks combine to generate their architecture, which contributes to their stability. Species trait diversity also affects ecosystem functioning and resilience, yet it remains unknown whether species’ contributions to functional diversity relate to their network roles. Here, we use 21 empirical pollen transport networks to characterise this relationship. We found that, apart from a few abundant species, pollinators with original traits either had few interaction partners or interacted most frequently with a subset of these partners. This suggests that narrowing of interactions to a subset of the plant community accompanies pollinator niche specialisation, congruent with our hypothesised trade‐off between having unique traits vs. being able to interact with many mutualist partners. Conversely, these effects were not detected in plants, potentially because key aspects of their flowering traits are conserved at a family level. Relating functional and network roles can provide further insight into mechanisms underlying ecosystem functioning.     

Self-incompatibility genotypes in almond re-evaluated by PCR,stylar ribonucleases,sequencing analysis and controlled pollinations

As part of the almond breeding programme at IRTA, we investigated the S genotypes of several cultivars using a combination of RNase zymograms, testcrosses, pollen-tube growth analysis and molecular identification by PCR analysis. For some of the cultivars examined, discrepancies appeared between their S alleles as reported in the literature and those found in this investigation, leading to a re-evaluation of their S genotypes. Analysis of the stylar ribonucleases (RNases), which are known to correlate with S alleles, of cvs. Achaak, Ardechoise, Desmayo Largueta, Ferrastar, Gabaix, Garbí, Glorieta, Languedoc, Primorskiy and Texas revealed inconsistencies with respect to the S₅ and S₁₀ alleles. However, PCR with the conserved primer pair AS1II/AmyC5R failed to detect any of these inconsistencies. When the S alleles from Desmayo Largueta, Gabaix, Primorskiy and Texas were sequenced, Texas and Primorskiy were found to carry the reported S₅ allele, while Desmayo Largueta and Gabaix carried a new allele, which has been tentatively denoted as S₂₅ This new S allele, previously reported to be S₁₀, was also identified in Achaak, Ardechoise and Ferrastar. The proposed new S genotypes are Achaak (S₂S₂₅), Ardechoise (S₁S₂₅), Desmayo Largueta (S₁S₂₅), Ferrastar (S₂S₂₅) and Gabaix (S₁₀S₂₅). The S alleles of Garbí, Glorieta, Languedoc, Texas and Primorskiy remain as reported in the literature. Testcrosses in the field and laboratory confirmed the new S genotypes. One cultivar (Gabaix) could be assigned to the existing cross-incompatibility group O of unique genotypes, and two new groups were established (XVI and XVII) consisting of two cultivars each. The clarification of these S alleles will be useful in almond breeding programmes and for planning new commercial orchards in the future.     

Identification of the autoantigen HB as the barrier-to-autointegration factor

The HB autoantigen, a 10-kDa DNA-binding protein recognized by autoantibodies only when bound to DNA, was identified by two-dimensional electrophoresis. Silver-stained protein spots corresponding to the antigen were excised from two-dimensional electrophoresis gels, digested with trypsin, and analyzed by matrix-assisted laser desorption/ionization-reflectron time of flight and nano-electrospray ionization-ion trap/mass spectrometry. Data base search identified the HB antigen as the barrier-to-autointegration factor, a cellular protein implicated in the cellular cycle that blocks autointegration and promotes intermolecular integration of retrovirus such as the Moloney murine leukemia and the human immunodeficiency type 1 virus. The physicochemical characteristics described for these proteins, their ability to bind double-stranded DNA but not single-stranded DNA, and their nuclear localization confirm that HB and barrier-to-autointegration factor are the same protein.