Identification of Arabis alpina genomic regions associated with climatic variables along an elevation gradient through whole genome scan.

We performed a pooled whole-genome sequencing on samples of the alpine plant Arabis alpina, harvested in ten populations along an elevation gradient in the French Alps. A large dataset of genetic variations was produced as single nucleotide polymorphisms (SNPs). A combined genome scan approach enabled detecting genomic regions associated with a synthetic environmental variable characterizing the climate at each sampling location. Positive loci detected by two methods were retained and belong to 19 regions in the Arabis alpina genome. The most significant region harbors an ortholog of the AtNAC062 gene, encoding a membrane-bound transcription factor described as linking the cold response and pathogen resistance that may confer protection to plants under extended snow coverage at high elevations. Other genes involved in the stress response or in flowering regulation were also detected. Altogether, our results indicated that Arabis alpina represent a suitable model for studying genomic adaptation in alpine perennial plants.

New genomic resources for three exploited Mediterranean fishes.

Extensive fishing has led to fish stock declines throughout the last decades. While clear stock identification is required for designing management schemes, stock delineation is problematic due to generally low levels of genetic structure in marine species. The development of genomic resources can help to solve this issue. Here, we present the first mitochondrial and nuclear draft genome assemblies of three economically important Mediterranean fishes, the white seabream, the striped red mullet, and the comber. The assemblies are between 613 and 785 Mbp long and contain between 27,222 and 32,375 predicted genes. They were used as references to map Restriction-site Associated DNA markers, which were developed with a single-digest approach. This approach provided between 15,710 and 21,101 Single Nucleotide Polymorphism markers per species. These genomic resources will allow uncovering subtle genetic structure, identifying stocks, assigning catches to populations and assessing connectivity. Furthermore, the annotated genomes will help to characterize adaptive divergence.

Climate-associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps.

Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could impede the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of Fagus sylvatica along a gradient of populations in the French Alps. Using a double-digest restriction-site-associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of F. sylvatica in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for F. sylvatica in the Alps, which could be helpful for future management plans.

Combining six genome scan methods to detect candidate genes to salinity in the Mediterranean striped red mullet (Mullus surmuletus).

BACKGROUND: Adaptive genomics may help predicting how a species will respond to future environmental changes. Genomic signatures of local adaptation in marine organisms are often driven by environmental selective agents impacting the physiology of organisms. With one of the highest salinity level, the Mediterranean Sea provides an excellent model to investigate adaptive genomic divergence underlying salinity adaptation. In the present study, we combined six genome scan methods to detect potential genomic signal of selection in the striped red mullet (Mullus surmuletus) populations distributed across a wide salinity gradient. We then blasted these outlier sequences on published fish genomic resources in order to identify relevant potential candidate genes for salinity adaptation in this species. RESULTS: Altogether, the six genome scan methods found 173 outliers out of 1153 SNPs. Using a blast approach, we discovered four candidate SNPs belonging to three genes potentially implicated in adaptation of M. surmuletus to salinity. The allele frequency at one of these SNPs significantly increases with salinity independently from the effect of longitude. The gene associated to this SNP, SOCS2, encodes for an inhibitor of cytokine and has previously been shown to be expressed under osmotic pressure in other marine organisms. Additionally, our results showed that genome scan methods not correcting for spatial structure can still be an efficient strategy to detect potential footprints of selection, when the spatial and environmental variation are confounded, and then, correcting for spatial structure in a second step represents a conservative method. CONCLUSION: The present outcomes bring evidences of potential genomic footprint of selection, which suggest an adaptive response of M. surmuletus to salinity conditions in the Mediterranean Sea. Additional genomic data such as sequencing of a full-genome and transcriptome analyses of gene expression would provide new insights regarding the possibility that some striped red mullet populations are locally adapted to their saline environment.

Detection of genomic loci associated with environmental variables using generalized linear mixed models.

We tested the use of Generalized Linear Mixed Models to detect associations between genetic loci and environmental variables, taking into account the population structure of sampled individuals. We used a simulation approach to generate datasets under demographically and selectively explicit models. These datasets were used to analyze and optimize GLMM capacity to detect the association between markers and selective coefficients as environmental data in terms of false and true positive rates. Different sampling strategies were tested, maximizing the number of populations sampled, sites sampled per population, or individuals sampled per site, and the effect of different selective intensities on the efficiency of the method was determined. Finally, we apply these models to an Arabidopsis thaliana SNP dataset from different accessions, looking for loci associated with spring minimal temperature. We identified 25 regions that exhibit unusual correlations with the climatic variable and contain genes with functions related to temperature stress.

Regulation of iron homeostasis in Arabidopsis thaliana by the clock regulator time for coffee.

In plants, iron homeostasis is tightly regulated to supply sufficient amounts of this metal for an optimal growth while preventing excess accumulation to avoid oxidative stress. To identify new regulators of iron homeostasis, a luciferase-based genetic screen using the Arabidopsis AtFer1 ferritin promoter as a target was developed. This screen identified TIME FOR COFFEE (TIC) as a regulator of AtFer1 gene expression. TIC was previously described as a nuclear regulator of the circadian clock. Mutants in the TIC gene exhibited a chlorotic phenotype rescued by exogenous iron addition and are hypersensitive to iron during the early stages of development. We showed that iron overload-responsive genes are regulated by TIC and by the central oscillator of the circadian clock. TIC represses their expression under low iron conditions, and its activity requires light and light/dark cycles. Regarding AtFer1, this repression is independent of the previously characterized cis-acting element iron-dependent regulatory sequence, known to be involved in AtFer1 repression. These results showed that the regulation of iron homeostasis in plants is a major output of the TIC- and central oscillator-dependent signaling pathways.

Geographic isolation and larval dispersal shape seascape genetic patterns differently according to spatial scale.

Genetic variation, as a basis of evolutionary change, allows species to adapt and persist in different climates and environments. Yet, a comprehensive assessment of the drivers of genetic variation at different spatial scales is still missing in marine ecosystems. Here, we investigated the influence of environment, geographic isolation, and larval dispersal on the variation in allele frequencies, using an extensive spatial sampling (47 locations) of the striped red mullet (Mullus surmuletus) in the Mediterranean Sea. Univariate multiple regressions were used to test the influence of environment (salinity and temperature), geographic isolation, and larval dispersal on single nucleotide polymorphism (SNP) allele frequencies. We used Moran's eigenvector maps (db-MEMs) and asymmetric eigenvector maps (AEMs) to decompose geographic and dispersal distances in predictors representing different spatial scales. We found that salinity and temperature had only a weak effect on the variation in allele frequencies. Our results revealed the predominance of geographic isolation to explain variation in allele frequencies at large spatial scale (>1,000 km), while larval dispersal was the major predictor at smaller spatial scale (<1,000 km). Our findings stress the importance of including spatial scales to understand the drivers of spatial genetic variation. We suggest that larval dispersal allows to maintain gene flows at small to intermediate scale, while at broad scale, genetic variation may be mostly shaped by adult mobility, demographic history, or multigenerational stepping-stone dispersal. These findings bring out important spatial scale considerations to account for in the design of a protected area network that would efficiently enhance protection and persistence capacity of marine species.

Biogenesis of iron-sulfur proteins in plants.

Iron-sulfur (Fe-S) clusters are ubiquitous prosthetic groups required to sustain fundamental life processes. The assembly of Fe-S clusters and insertion into polypeptides in vivo has recently become an area of intense research. Many of the genes involved are conserved in bacteria, fungi, animals and plants. Plant cells can carry out both photosynthesis and respiration - two processes that require significant amounts of Fe-S proteins. Recent findings now suggest that both plastids and mitochondria are capable of assembling Fe-S proteins using assembly machineries that differ in biochemical properties, genetic make-up and evolutionary origin.

Mitochondrial localization of Arabidopsis thaliana Isu Fe-S scaffold proteins.

Isu are scaffold proteins involved in iron-sulfur cluster biogenesis and playing a key role in yeast mitochondria and Escherichia coli. In this work, we have characterized the Arabidopsis thaliana Isu gene family. AtIsu1,2,3 genes encode polypeptides closely related to their bacterial and eukaryotic counterparts. AtIsu expression in a Saccharomyces cerevisiae Deltaisu1Deltanfu1 thermosensitive mutant led to the growth restoration of this strain at 37 degrees C. Using Isu-GFP fusions expressed in leaf protoplasts and immunodetection in organelle extracts, we have shown that Arabidopsis Isu proteins are located only into mitochondria, supporting the existence of an Isu-independent Fe-S assembly machinery in plant plastids.

Metal resistance in yeast mediated by the expression of a maize 20S proteasome alpha subunit.

Transformation of yeast cells with a maize cDNA ZmPAA, encoding a 20S proteasome alpha-subunit, conferred resistance to nickel, cadmium and cobalt. This resistance is not linked to a modification of the intracellular nickel content, as no accumulation of nickel was measured between yeast cells transformed with a void vector or the ZmPAA cDNA. The abundance of the ZmPAA mRNA was increased in the shoots of maize plants upon nickel treatment. These results suggest that the proteasome might be involved in nickel resistance by scavenging metal oxidized proteins both in plants and yeast.

Development of an Arabis alpina genomic contig sequence data set and application to single nucleotide polymorphisms discovery.

The alpine plant Arabis alpina is an emerging model in the ecological genomic field which is well suited to identifying the genes involved in local adaptation in contrasted environmental conditions, a subject which remains poorly understood at molecular level. This study presents the assembly of a pool of A. alpina genomic fragments using next-generation sequencing technologies. These contigs cover 172 Mb of the A. alpina genome (i.e. 50% of the genome) and were shown to contain sequences giving positive hits against 96% of the 458 CEGMA core genes (Core Eukaryotic Genes Mapping Approach), a set of highly conserved eukaryotic genes. Regions presenting high nucleic sequence identity with 77% of the close relative Arabidopsis thaliana's genes were found with an unbiased distribution across the different functional categories of A. thaliana genes. This new resource was tested using a resequencing assay to identify polymorphic sites. Sixteen samples were successfully analysed and 127,041 single-nucleotide polymorphisms identified. This contig data set will contribute to improving our understanding of the ecology of Arabis alpina, thus constituting an important resource for future ecological genomic studies.

Complete Arabis alpina chloroplast genome sequence and insight into its polymorphism.

The alpine plant Arabis alpina (alpine rock-cress) is a thoroughly studied species in the fields of perennial plant flowering regulation, phylogeography, and adaptation to harsh alpine climatic conditions. We report the complete A. alpina chloroplast genome sequence obtained through de novo assembly of Illumina paired-end reads produced by total DNA sequencing. The A. alpina cp circular genome is 152,866 bp in length and built of two inverted repeats of 26,933 bp separated by unique regions: a large single copy of 82,338 bp and a small single copy of 17,938 bp. The genome contains 131 genes, some of them being duplicated in the inverted repeats. Seventy-nine unique protein-coding genes were annotated, together with 29 tRNA genes and 4 ribosomal RNA genes. Sequencing and mapping of 23 additional A. alpina DNA samples enabled to gain insight into the intraspecies polymorphism of the sequenced cp genome. Genetic variability among genomes was detected as 44 indels, most of them being located in noncoding regions, and 130 single-nucleotide polymorphisms, 37 of them corresponding to mutations in coding regions. A. alpina chloroplast genome sequence will be helpful in population studies or investigations of chloroplast functions of this alpine plant species.

The AtNFS2 gene from Arabidopsis thaliana encodes a NifS-like plastidial cysteine desulphurase.

NifS-like proteins are cysteine desulphurases required for the mobilization of sulphur from cysteine. They are present in all organisms, where they are involved in iron-sulphur (Fe-S) cluster biosynthesis. In eukaryotes, these enzymes are present in mitochondria, which are the major site for Fe-S cluster assembly. The genome of the model plant Arabidopsis thaliana contains two putative NifS-like proteins. A cDNA corresponding to one of them was cloned by reverse-transcription PCR, and named AtNFS2. The corresponding transcript is expressed in many plant tissues. It encodes a protein highly related (75% similarity) to the slr0077-gene product from Synechocystis PCC 6803, and is predicted to be targeted to plastids. Indeed, a chimaeric AtNFS2-GFP fusion protein, containing one-third of AtNFS2 from its N-terminal end, was addressed to chloroplasts. Overproduction in Escherichia coli and purification of recombinant AtNFS2 protein enabled one to demonstrate that it bears a pyridoxal 5'-phosphate-dependent cysteine desulphurase activity in vitro, thus being the first NifS homologue characterized to date in plants. The putative physiological functions of this gene are discussed, including the attractive hypothesis of a possible role in Fe-S cluster assembly in plastids.

Iron-sulphur cluster assembly in plants: distinct NFU proteins in mitochondria and plastids from Arabidopsis thaliana.

Recent results are in favour of a role for NFU-like proteins in Fe-S cluster biogenesis. These polypeptides share a conserved CXXC motif in their NFU domain. In the present study, we have characterized Arabidopsis thaliana NFU1-5 genes. AtNFU proteins are separated into two classes. NFU4 and NFU5 are part of the mitochondrial type, presenting a structural organization similar to Saccharomyces cerevisiae Nfu1p. These proteins complement a Delta isu1 Delta nfu1 yeast mutant and NFU4 mitochondrial localization was confirmed by green fluorescent protein fusion analysis. AtNFU1-3 represent a new class of NFU proteins, unique to plants. These polypeptides are made of two NFU domains, the second having lost its CXXC motif. AtNFU1-3 proteins are more related to Synechocystis PCC6803 NFU-like proteins and are localized to plastids when fused with the green fluorescent protein. NFU2 and/or NFU3 were detected in leaf chloroplasts by immunoblotting. NFU1 and NFU2 are functional NFU capable of restoring the growth of a Delta isu1 Delta nfu1 yeast mutant, when addressed to yeast mitochondria. Furthermore, NFU2 recombinant protein is capable of binding a labile 2Fe-2S cluster in vitro. These results demonstrate the presence of distinct NFU proteins in Arabidopsis mitochondria and plastids. Such results suggest the existence of two different Fe-S assembly machineries in plant cells.

Differential involvement of the IDRS cis-element in the developmental and environmental regulation of the AtFer1 ferritin gene from Arabidopsis.

Four different ferritin genes have been identified in Arabidopsis thaliana, namely AtFer1, 2, 3 and 4. AtFer1, which strongly accumulates in leaves treated with excess iron, contains in its promoter an Iron- Dependent Regulatory Sequence (IDRS). The IDRS sequence is responsible for repression of AtFer1 transcription under conditions of low iron supply. Arabidopsis plants transformed with a 1,400-bp AtFer1 promoter, with either a wild-type or a mutated IDRS fused to the beta-glucuronidase (GUS) reporter gene, enabled us to analyze the activity of the AtFer1 promoter in different tissues as well as during age-dependent or dark-induced senescence. Our results show that IDRS mediates AtFer1 expression during dark-induced senescence while it does not affect AtFer1 expression during age-dependent senescence or in young seedlings. Photoinhibition promoted either by high light or chilling temperature, or wounding, does not activate the AtFer1 promoter. In contrast, AtFer2, AtFer3, AtFer4 transcript abundances are increased in response to photoinhibition and AtFer3 transcript abundance is increased upon wounding. Taken together, our results indicate that other cis-elements, different from the IDRS, regulate the territory-specific or developmental expression of AtFer1 gene. Expression of this gene appears insensitive to some of the environmental stresses tested, which instead up-regulate other members of the Arabidopsis ferritin gene family.

Nfu2: a scaffold protein required for [4Fe-4S] and ferredoxin iron-sulphur cluster assembly in Arabidopsis chloroplasts.

Nfu proteins are candidates to act as scaffold protein in vivo for iron-sulphur cluster biogenesis. In this work, Nfu2 protein function in the chloroplast was investigated in vivo using T-DNA insertion lines disrupted in AtNfu2 gene. Both alleles characterized presented the same dwarf phenotype due to photosynthetic and metabolic limitations. Nfu2 cDNA expression in nfu2.1 mutant rescued this phenotype. Photosynthesis study of these mutants revealed an altered photosystem I (PSI) activity together with a decrease in PSI amount confirmed by immunodetection experiments, and leading to an over reduction of the plastoquinol pool. Decrease of plastid 4Fe-4S sulphite reductase activity correlates with PSI amount decrease and supports an alteration of 4Fe-4S cluster biogenesis in nfu2 chloroplasts. The decrease of electron flow from the PSI is combined with a decrease in ferredoxin amount in nfu2 mutants. Our results are therefore in favour of a requirement of Nfu2 protein for 4Fe-4S and 2Fe-2S ferredoxin cluster assembly, conferring to this protein an important function for plant growth and photosynthesis as demonstrated by nfu2 mutant phenotype. As glutamate synthase and Rieske Fe-S proteins are not affected in nfu2 mutants, these data indicate that different pathways are involved in Fe-S biogenesis in Arabidopsis chloroplasts.