Development and characterization of microsatellite loci in Ulex parviflorus Pourr. And its cross-transferability to other Genisteae.

BACKGROUND: The genus Ulex is composed by 15 species distributed in Europe and Africa, but the majority of them are restricted to the Iberian Peninsula and Northwest Africa. Some of these species are common elements at the landscape level, and others contribute to global biodiversity as narrow endemics. Assayed nuclear and plastid Sanger-sequenced regions do not provide enough resolution to perform evolutionary studies on the genus, neither at the intraspecific population level nor at the interspecific phylogenetic level. Thus, we have developed and characterized a set of nuclear microsatellite loci in U. parviflorus to provide new highly polymorphic molecular markers for the genus Ulex. METHODS AND RESULTS: Genomic DNA enriched in microsatellite motifs using streptavidin-coated M-280 magnetic beads attached to 5'-biotinylated oligonucleotides was sequenced in a 454GS Junior System. After primer design, fluorescent-dyed amplicons were analyzed through capillary sequencing (ABI3730XL). Here we present twelve new high polimorphic SSRs markers developed in U. parviflorus specimens and tested in 120 individuals. The 12 SSR loci amplified a total of 152 alleles, and detected expected heterozygosities that ranged from 0.674 to 0.725 in the genotyped populations. Successful cross-species transferability of the 12 SSR loci to the rest of species included in the genus Ulex and three other representative Genisteae was achieved. CONCLUSIONS: The 12 novel proposed SSRs loci will contribute to perform evolutionary studies and genetic research on the genus Ulex and in other Genisteae.

nir gene-based co-occurrence patterns reveal assembly mechanisms of soil denitrifiers in response to fire.

Denitrification causes nitrogen losses from terrestrial ecosystems. The magnitude of nitrogen loss depends on the prevalence of denitrifiers, which show ecological differences if they harbour nirS or nirK genes encoding nitrite reductases with the same biological function. Thus, it is relevant to understand the mechanisms of co-existence of denitrifiers, including their response to environmental filters and competition due to niche similarities. We propose a framework to analyse the co-existence of denitrifiers across multiple assemblages by using nir gene-based co-occurrence networks. We applied it in Mediterranean soils before and during 1 year after an experimental fire. Burning did not modify nir community structure, but significantly impacted co-occurrence patterns. Bacteria with the same nir co-occurred in space, and those with different nir excluded each other, reflecting niche requirements: nirS abundance responded to nitrate and salinity, whereas nirK to iron content. Prior to fire, mutual exclusion between bacteria with the same nir suggested competition due to niche similarities. Burning provoked an immediate rise in mineral nitrogen and erased the signals of competition, which emerged again within days as nir abundances peaked. nir co-occurrence patterns can help infer the assembly mechanisms of denitrifying communities, which control nitrogen losses in the face of ecological disturbance.

Incorporating phylogenetic metrics to microbial co-occurrence networks based on amplicon sequences to discern community assembly processes.

Co-occurrence network analysis based on amplicon sequences is increasingly used to study microbial communities. Patterns of co-existence or mutual exclusion between pairs of taxa are often interpreted as reflecting positive or negative biological interactions. However, other assembly processes can underlie these patterns, including species failure to reach distant areas (dispersal limitation) and tolerate local environmental conditions (habitat filtering). We provide a tool to quantify the relative contribution of community assembly processes to microbial co-occurrence patterns, which we applied to explore soil bacterial communities in two dry ecosystems. First, we sequenced a bacterial phylogenetic marker in soils collected across multiple plots. Second, we inferred co-occurrence networks to identify pairs of significantly associated taxa, either co-existing more (aggregated) or less often (segregated) than expected at random. Third, we assigned assembly processes to each pair: patterns explained based on spatial or environmental distance were ascribed to dispersal limitation (2%-4%) or habitat filtering (55%-77%), and the remaining to biological interactions. Finally, we calculated the phylogenetic distance between taxon pairs to test theoretical expectations on the linkages between phylogenetic patterns and assembly processes. Aggregated pairs were more closely related than segregated pairs. Furthermore, habitat-filtered aggregated pairs were closer relatives than those assigned to positive interactions, consistent with phylogenetic niche conservatism and cooperativism among distantly related taxa. Negative interactions resulted in equivocal phylogenetic signatures, probably because different competitive processes leave opposing signals. We show that microbial co-occurrence networks mainly reflect environmental tolerances and propose that incorporating measures of phylogenetic relatedness to networks might help elucidate ecologically meaningful patterns.