Environmental isolation explains Iberian genetic diversity in the highly homozygous model grass Brachypodium distachyon
- Isabel Marques1Email authorView ORCID ID profile,
- Valeriia Shiposha†1, 2,
- Diana López-Alvarez†1, 5,
- Antonio J. Manzaneda3,
- Pilar Hernandez4,
- Marina Olonova2 and
- Pilar Catalán1, 2
© The Author(s). 2017
Received: 2 January 2017
Accepted: 8 June 2017
Published: 15 June 2017
Brachypodium distachyon (Poaceae), an annual Mediterranean Aluminum (Al)-sensitive grass, is currently being used as a model species to provide new information on cereals and biofuel crops. The plant has a short life cycle and one of the smallest genomes in the grasses being well suited to experimental manipulation. Its genome has been fully sequenced and several genomic resources are being developed to elucidate key traits and gene functions. A reliable germplasm collection that reflects the natural diversity of this species is therefore needed for all these genomic resources. However, despite being a model plant, we still know very little about its genetic diversity. As a first step to overcome this gap, we used nuclear Simple Sequence Repeats (nSSR) to study the patterns of genetic diversity and population structure of B. distachyon in 14 populations sampled across the Iberian Peninsula (Spain), one of its best known areas.
We found very low levels of genetic diversity, allelic number and heterozygosity in B. distachyon, congruent with a highly selfing system. Our results indicate the existence of at least three genetic clusters providing additional evidence for the existence of a significant genetic structure in the Iberian Peninsula and supporting this geographical area as an important genetic reservoir. Several hotspots of genetic diversity were detected and populations growing on basic soils were significantly more diverse than those growing in acidic soils. A partial Mantel test confirmed a statistically significant Isolation-By-Distance (IBD) among all studied populations, as well as a statistically significant Isolation-By-Environment (IBE) revealing the presence of environmental-driven isolation as one explanation for the genetic patterns found in the Iberian Peninsula.
The finding of higher genetic diversity in eastern Iberian populations occurring in basic soils suggests that these populations can be better adapted than those occurring in western areas of the Iberian Peninsula where the soils are more acidic and accumulate toxic Al ions. This suggests that the western Iberian acidic soils might prevent the establishment of Al-sensitive B. distachyon populations, potentially causing the existence of more genetically depauperated individuals.
During the last decade Brachypodium distachyon (L.) P. Beauv. has become one of the most important model systems for functional genomic studies of temperate cereals and forage grasses and for bioenergy crops [1, 2]. The diploid Brachypodium distachyon shows a short generation time (annual life cycle), one of the smallest genomes among grass species (272 Mbp in five chromosomes) and it is a highly selfing plant that can easily be grown under controlled conditions . The phylogenetic position of B. distachyon reinforces its importance as a model system since it is nested within tribe Brachypodieae (formed by exclusively by the genus Brachypodium P. Beauv.), and its sister relationship to the ‘core pooids’, a recently evolved lineage of subfamily Pooideae Benth. (Poaceae Barnhart), composed by the four grass tribes that encompass the vast majority of domesticated cool season cereal grain, forage, and turf crops [3, 4].
A high-quality reference genome of B. distachyon (based on the diploid inbred line Bd21) is already available  and significant investments have been further made in developing and using Brachypodium as a model system to learn the genetic mechanisms controlling relevant traits such as cell wall composition, biomass yield, abiotic and biotic stress tolerance, grain development and other features relevant to biomass crop development [3, 5–10]. For instance, candidate genes identified from C4 grasses that are emerging biomass crops (e.g., maize, sorghum) are being introduced into the temperate C3-plant B. distachyon with the aim of changing its photosynthetic characteristics since the C4 photosynthetic pathway is generally more efficient under hot and dry conditions .
An important key resource essential in any model system is the existence of germplasm collections and inbred lines that reflect traits of interest, as well as its natural genetic variation, which is considered to be the main resource for evolutionary change and for the adaptive potential of a species [3, 12–14]. For instance, in the model plant Arabidopsis thaliana, molecular analysis of its natural genetic variation has not only discovered a correlation between the allelic variation of known genes and the phenotypic variation of the species, but has also led to the discovery of novel genes . However, despite all genomic progresses in B. distachyon and the fact that it is widely spread across the Mediterranean area [16–19], information about its natural genetic diversity remains scarce. For instance, the first large collection of inbred diploid B. distachyon lines was developed from samples collected across the same geographical area (Turkey) but revealed a considerable level of inter-population genetic diversity despite the predominance of homozygous individuals in most populations [20, 21]. A recent study using genotyping-by-sequencing (GBS) of 84 new accessions of B. distachyon plus its close relatives (three accessions of B. stacei Catalán, Joch. Müll., Mur & Langdon and seven of B. hybridum Catalán, Joch. Müll., Hasterok & Jenkins) across its wide circum-Mediterranean native geographic range (e. g., Albania, Armenia, Georgia, Italy, Spain and Turkey) revealed low levels of gene flow, confirming the highly selfing nature of this species and detecting three distinct genetic groups in B. distachyon across the Mediterranean populations sampled . Unexpectedly, those genetic groups were not correlated with the geographical origin of the accessions but rather with differences in flowering time, according to the common garden experiment performed . The finding of highly diverged genetic groups is intriguing since individuals clustering to different groups were collected in the same or nearby localities . This would mean that individuals growing in the same locality and under the same environmental conditions could have strong differences in flowering times, creating a barrier to gene flow with their close neighboring individuals [3, 21]. Moreover, it clearly reflects that more studies are needed to understand the natural genetic diversity and genetic structure of B. distachyon populations. This information is also crucial to establish efficient germplasm collections and reference lines for the ongoing genomic studies that are being developed by the International Brachypodium Initiative (e.g., http://jgi.doe.gov/our-science/science-programs/plant-genomics/brachypodium/brachypodium-t-dna-collection/; http://archive.gramene.org/species/brachypodium/brachypodium_intro.html), especially because there is evidence that annual Brachypodium species are ecologically differentiated [12, 23]. The diploid B. distachyon usually grows in wet habitats with attenuated summer drought while the allotetraploid B. hybridum is generally found in dry habitats with a predictable summer drought period ; the allotetraploid is also more efficient in its water use than the close-related diploid B. distachyon . Drought-escape strategy (i.e., early flowering) to cope with water stress was found to affect genetic diversity in the studied B. hybridum populations but not in B. distachyon . However, the potential influence of other environmental factors on the genetic diversity of the annual Brachypodium species and populations is still unknown. For instance, soil pH seems to be related to the ecological adaptation of some annual Brachypodium populations to acidic substrates . Under acidic conditions (pH < 5.0), the soils can accumulate solubilized Aluminum (Al) ion, mostly as a mononuclear cation (Al3+), which is phytotoxic to most herbaceous plants even at low concentration [24, 25]. Brachypodium distachyon is mostly an Al-sensitive plant in contrast to its derived allotetraploid species B. hybridum, which shows both Al-tolerant and Al-sensitive populations .
Here, we studied the natural genetic diversity of B. distachyon across 14 populations collected in the Iberian Peninsula to create and characterize a future diverse collection of inbred lines, available to Brachypodium researchers. This is the best studied Mediterranean area due to several previous works, which allowed us to correctly separate the diploid B. distachyon (2n = 10) from its close diploid relative B. stacei (2n = 20) and from their derived allotetraploid B. hybridum (2n = 30), which were until recently misinterpreted as a single complex species under B. distachyon [16–19, 23]. In this study we specifically asked: (1) Is genetic diversity uniform across the Iberian populations of B. distachyon? (2) Is homozygosis predominant within populations as expected in a highly selfing plant? (3) How are populations of B. distachyon structured genetically? (4) Is there a correlation between genetic diversity and climatic, geographic or other ecological factors such as soil pH?
Population sampling, DNA extraction and nSSR amplification
Sampled populations of Brachypodium distachyon sorted by geographical area
Navarra, Lumbier, Foz
Navarra, Puerto del Perdon
Huesca, Sariñena Laguna
Huesca, Yaso, Sierra de Guara
Huesca, Jaca, Banaguas
Huesca, Abizanda, Barranco Mallo
Lleida, Castillo de Mur
Total genomic DNA was extracted using the DNeasy Plant Mini Kit (Qiagen, Valencia, CA, USA) according to the manufacturer’s protocol. The 137 samples used in this study were genotyped at 10 polymorphic nuclear simple sequence repeats (nSSRs) previously developed for B. distachyon (ALB006, ALB022, ALB040, ALB050, ALB086, ALB087, ALB139, ALB165, ALB181 and ALB311; ) and following the procedures outlined in . Based on an initial survey, we selected these ten nSSR markers since they produced robust highly polymorphic amplified bands among the entire collection of our B. distachyon samples. Despite being a model system with a variable set of genomic resources, new genomic population methods such as Genotyping-by-Sequencing (GBS, ) or restriction site associated DNA sequencing (RAD-Seq; Lopez-Alvarez & Catalan, unpub. Data) have only recently started to become available for B. distachyon. Although these next-generation sequencing (NGS) techniques will probably be predominant in next years, SSRs still have advantages if they are genetically informative, like previously reported in Brachypodium distachyon  an in its close annual Mediterranean congeners B. stacei  and B. hybridum , as well as in the Eurasian perennial B. sylvaticum [28, 29]. Also, the number of biases in a SSR study might be much lower than using NGS methods since each locus can be manually genotyped reducing errors .
Amplifications were carried out in a final volume of 10 μl volume containing between 0.1 and 0.2 μl of each 10 M diluted primer (forward and reverse), 5 μl PCR Master Mix (QIAGEN) and 2.5 μl DNA. The polymerase chain reactions (PCR) were carried out in a final volume of 7.5 μl on a GeneAmp PCR System 9700 thermocycler with a thermal profile consisting of a 4-min initial denaturation step at 95 °C followed by 35 cycles of 30 s at 95 °C, 30 s at 55 °C and 1 min at 72 °C. A final 72 °C extension step of 30 min was included to promote non-templated nucleotide addition at the 3’end of the PCR product. Multiplexed PCR products were genotyped on an Applied Biosystems 3130XL Genetic Analyzer using 2 μl of amplified DNA, 12 μl of Hi-Di formamide and 0.4 μl of GeneScan-500 (LIZ) size standard (Applied Biosystem). Allele sizes were determined using Peak Scanner version 1.0 (Life Technologies) and revised manually. The list of individuals genotyped is shown in Additional file 1: Table S1. Allelic sizes ranged within the expected values obtained for these markers in other genetic studies of B. distachyon [21, 26, 31]. Within each population, all loci were checked for the presence of null alleles using MICRO-CHECKER v.2.2.3 .
Genetic diversity and selfing
Genetic variation was calculated per locus and population using the following standard genetic indices computed using FSTAT 18.104.22.168 : total number of alleles (Na), allelic richness (AR), observed within population Nei’s heterozygosity (Ho), expected within population Nei’s heterozygosity (Hs), expected Nei’s heterozygosity within the total population (HT), Nei’s measure of genetic differentiation (Gst), and inbreeding coefficient (FIS). FIS was also estimated using the Bayesian procedure implemented in INEst 2.0  that is robust to the presence of null alleles. Posterior distribution was based on 300,000 steps, sampling every 100 steps and discarding the first 30,000 steps as burn-in. In order to understand the importance of inbreeding in our dataset we compared the full model (nfb) with the model including only null alleles (nb). The best model was chosen based on the Deviance Information Criterion (DIC; cf. ).
Genetic structure and differentiation
The Bayesian program STRUCTURE v.2.3.4  was used to test whether any discrete genetic structure exists among the populations sampled. The analysis was performed assuming a number of clusters from K = 1 to K = 17, with 10 repetitions per K. Models were run assuming ancestral admixture and correlated allele frequencies with 50,000 burn-in steps, followed by run lengths of 300,000 interactions for each K. The optimum K was determined using STRUCTURE HARVESTER , which identifies the optimal K based both on the posterior probability of the data for a given K and the ∆K . To correctly assess the membership proportions (q values) for clusters identified in STRUCTURE, the results of the replicates at the best-fit K were post-processed using CLUMPP 1.1.2 . BAPS v.5.2  was also used to estimate population structure of B. distachyon. In contrast to STRUCTURE, BAPS determines optimal partitions for each candidate K-value and merges the results according the log-likelihood values to determine the best K-value. Analyses in BAPS were done at the level of individuals using the models without spatial information and by selecting 1 to 17 as possible K-values. Ten repetitions were performed for each K. POPULATION 1.2  was used to calculate the Nei’s genetic distance (Da; ) among individuals and to construct an unrooted neighbor-joining tree with 1000 bootstrap replicates. A Principal Components Analysis (PCoA) was also constructed in GenAlEx6  to detect the genetic relatedness among individuals based on Nei’s genetic distance.
Standard and hierarchical analysis of molecular variance (AMOVA) were used to quantify the partitioning of genetic variance within and among the following hierarchal levels: among all populations, between N and S populations, between NE and NW populations, and among NW, NE and S populations. In each analysis, variance was quantified among groups, among locations within groups and within sampling locations. Each AMOVA was run with 10,000 permutations at 0.95 significance levels. The analysis was performed in ARLEQUIN 22.214.171.124 .
Pairwise genetic distances between populations were calculated using three metrics in order to cover a range of evolutionary assumptions concerning the relationships between populations . We computed pairwise genetic distances assuming both the infinite alleles model (IAM), e. g., Da distance , and the stepwise mutation model (SMM), e. g., Average Square Distance (ASD; ), as implemented in POPULATION 1.2 , and pairwise linearized FST value distances, e.g., FST/(1 - FST  between populations as implemented in GENPOP 3.3 . Isolation by distance (IBD) was assessed through the correlation between the three genetic distance matrices and a matrix of pairwise geographical distances between populations computed with GEOGRAPHIC DISTANCE MATRIX GENERATOR v1.2.3 . Significance was tested with Mantel tests  with 1000 permutations using NTSYSpc v. 2.11a .
Association between genetic diversity and ecological variables
Using the Pearson correlation coefficient, we tested the degree of association between five genetic diversity parameters (AR, Na, Ho, He and FIS), and latitude, longitude, altitude plus 19 Bioclimatic variables (Bioclim) previously used in the distribution modeling of annual Brachypodium species (; Additional file 2: Table S2) and downloaded from Worldclim- Global Climate Data (http://www.worldclim.org) at a scale of 30 arc-seconds. Soil pH values were retrieved from . A correlation analysis between Bioclim variables was first conducted for avoiding variable redundancy : eight variables were considered correlated (Pearson coefficient: R ≥ 0.95; Additional file 2: Table S2) and were removed from further analyses. Environmental distances between populations were then estimated to test isolation by environment (IBE) using the 11 Bioclim variables that did not covary significantly. As environmental and geographical distances were significantly correlated (R = 0.35, P = 0.001), IBE was tested using a partial Mantel test with 10,000 permutations as implemented in R using the ‘ecodist’ package . This test allows discriminating unambiguously between environmental and geographical factors in the correlation structure with genetic variables. Pearson correlation analyses were implemented using the SPSS statistical software package 16.0 (SPSS Inc., Chicago, IL, USA). Holm-Bonferroni corrections were conducted using the R statistical software package (R Development Core Team 2013) to avoid type I error inherent in multiple comparisons . The significance level was P < 0.05.
Genetic diversity and selfing
Characteristics of the nSSRs markers used in the Iberian populations of Brachypodium distachyon
Allele size range (bp)
Within populations, observed heterozygosity was recorded as 0, in 13 out of the 14 populations analyzed except the NE Iberian population of CAN where it had a value of 0.033, whereas mean expected heterozygosity varied between 0 and 0.104 also in CAN (Table 1). The average number of alleles per population was 11, being a maximum of 13 recorded in CAN, which also showed the maximum value of allelic richness (Table 1). Due to the very low levels of heterozygous individuals found, most populations had a FIS value of 1 (fixed homozygosis) except in the NE Iberian population of CAN where FIS was estimated as 0.711 (Table 1). Therefore, the average rate of self-fertilization estimated for B. distachyon was very high, reaching an average of 98% considering all the populations studied (Table 1).
Population genetic structure and differentiation
The optimal number of genetic clusters was found to be two by the Bayesian clustering program STRUCTURE that differentiated all North Iberian populations from the South Iberian populations of B. distachyon (Fig. 1b; Additional file 3: Fig. S1). This result was partially supported by the Bayesian BAPS analysis that further separated the northern populations into two segregated groups, suggesting an optimal clustering of populations into three genetic groups (NE Iberian, NW Iberian and S Iberian: Fig. 1c). These two programs detected no evidence of genetic admixture between the genetic clusters.
Analysis of molecular variance (AMOVA) for 14 populations of Brachypodium distachyon
Source of variance
N vs. S populations
Among populations within groups
NE vs. NW populations
Among populations within groups
NE vs. NW vs S populations
Among populations within groups
Significance differences of the correlation analysis (corrected for multiple comparisons following the Bonferroni procedure) between geographical, soil pH and climatic factors and genetic diversity parameters: mean allelic richness (AR), mean observed heterozygosity (Ho) and expected heterozygosity (Hs) and inbreeding coefficient (FIS)
Correlation between each of the three assayed pairwise genetic distance metrics and pairwise geographical distances revealed significant evidence of IBD between all 14 populations analyzed (DA/geography, r = 0.843, P < 0.001; ADS/geography, r = 0.543, P < 0.001; linearized FST values/geography, r = 0.637, P = 0.001). Genetic distances based on the IAM (Da) showed a clustering of populations more congruent with geography than those based on the SMM (ADS), or the linearized Fst values.
Association between genetic diversity and ecological variables
Two genetic diversity parameters (AR and Na) were significantly and negatively associated with the longitude indicating a decrease in genetic diversity towards West (Fig. 1a); no association was found for the remaining genetic diversity indices (Table 4). The level of pH was significantly and positively associated with AR and Na since a higher allelic richness and a higher number of alleles were generally found in populations occurring in basic soils (Fig. 1a), located in the East. Of the 11 climatic variables analyzed, two were significantly negatively associated with AR, Na and FIS (isothermality, BIO3; mean temperature of the driest quarter, BIO9) and one (mean temperature of the wettest quarter, BIO8) was positively associated with those genetic parameters (Table 4; Additional file 4: Fig. S2). Thus, the higher are the values of isothermality and temperature of the driest quarter, the lower is the genetic diversity measured in the populations sampled here; likewise, the higher the value of the temperature in the wettest quarter, the higher is the genetic diversity of the B. distachyon populations.
A partial Mantel test confirmed significant IBD among all studied populations (R = 0.15, P < 0.001), as well as significant IBE (R = 0.46, P < 0.05). This result indicates that by controlling geographical distance, pairwise differences in soil pH were positively associated to pairwise differences in genetic diversity, which could underlie an adaptive pattern to soil pH and, presumably, to Al sensitiveness. The level of significance in IBE was higher when performing correlation analyses between populations belonging to the NW genetic cluster versus populations from NE and S genetic clusters (R = 0.56, P < 0.001). No significant IBE was found when only the NE and S genetic cluster were analyzed (R = 0.38, P = 0.482).
Very low heterozygosis across Iberian populations of Brachypodium distachyon
Our results indicate that the Spanish populations of B. distachyon are characterized by very low levels of genetic diversity within populations, as a consequence of a high heterozygote deficiency (Table 1; Additional file 1: Table S1). This could be partially a consequence of studying S1 individuals in S and NW Iberian populations; however, similar low genetic diversity and high heterozygote deficiency were observed among wild (non-S1) individuals in some NE Iberian populations (LUM, PER) (Table 1, Fig. 1a). An average of only two multi-locus genotypes was found, exceptionally reaching five in one population (Table 1). The number of alleles per population was also very low since only 33 unique alleles were retrieved among the 137 individuals of B. distachyon studied. The extreme low levels of observed heterozygosity (H o = 0 in all populations except one; Table 1) point to high levels of inbreeding (FIS = 1 in all populations except one; Table 1) and a strong selfing rate (s = 1 in all populations except one; Table 1).
These results are congruent with the highly selfing nature of this species like reported in other studies [3, 10, 21, 22]. Flowers of B. distachyon rarely open except under specific environmental conditions (warm, humid and full sun), although even in this case anthers dehisce to the stigmas under the fold of the palea causing primarily self-pollinations . Close-related species, such as the sister species B. stacei, are also primarily selfing plants, though genetic diversity values suggest that it might outcross more often than B. distachyon . For instance, selfing rates of Iberian, Balearic and Canarian B. stacei populations were estimated as 79% , which is lower than the ones reported here for Iberian B. distachyon populations. Also, the values of heterozygosity detected within populations were slightly higher in the diploid B. stacei (e. g., Ho = 0–0.058, He = 0–0.145; ) and contrastingly higher in the diploid and predominantly selfing perennial B. sylvaticum (Ho = 0.044–0.438, He = 0.076–0.592; [28, 29]) than the ones detected here in B. distachyon (Ho = 0–0.033, He = 0–0.104; Table 1).
Primarily selfing plants usually show high genetic differentiation among populations (e. g., [53, 54]). Selfing would explain the high levels of genetic differentiation and the very high fixation index found in B. distachyon (averaged FST = 0.956) since it leads to isolation and prevents the efficient flow of genes. Most genetic diversity (96.9%) was observed among populations and only 3.1% of genetic variation within populations (Table 4). Such differences were correlated with geographic distance suggesting the presence of barriers to gene flow between largely distant populations. Selfing indeed inhibits gene flow through pollen and exacerbates genetic differences and genetic structure , as found in our analysis. In B. distachyon, seed dispersal may also constrain effective gene flow since most seeds land very close to parental plants or are possibly dispersed by ants although within short dispersal distances from the mother plant . The populations studied here are on the edge of the native distribution range of this species that occurs across the Mediterranean - SW Asian region [17–19, 23] but the observed low heterozygosity levels are similar to those found in populations located in other geographical areas, such as Turkey , as well as in other Mediterranean areas . Thus, the extreme values of low heterozygosity seem to characterize this model species and it would be invaluable to study other populations to distinguish the influence of selfing from other processes that usually constrain the evolutionary success of populations (e. g., recurrent founder events ).
Genetic boundaries in Iberian populations reflect their geographical origin
The results of BAPS (Fig. 1c) and PCoA analyses (Fig. 3), as well as the NJ tree (Fig. 4) and the hierarchical AMOVA with three geographical ranges (Table 3) suggest that the genetic structure of B. distachyon in Spain can be grouped (at least) in three clusters congruent with their geographical origin. NE, NW and S Iberian populations all formed separate and homogeneous groups except in the STRUCTURE analysis that clustered all NE and NW populations in one single group (Fig. 1b). Although more populations should be analyzed to verify the existence of further genetic groups in the Iberian Peninsula, our results provide evidence for the existence of a significant genetic structure of B. distachyon in Spain like previously suggested by a recent GBS study . This study revealed a significant genetic boundary between NE and S Spanish populations, like the one reported here, although no NW Spanish populations were included in the study . But contrary to the results of the GBS study where the genetic patterns of B. distachyon seemed to be primarily explained by differences in flowering time association, our results are better explained by the geographical origin of populations. Although we should keep in mind that PCR-based markers such as the one used here (nSSRs) and GBS techniques might reconstruct similar but slightly different stories , several other studies also reported the existence of differentiated genetic clusters in the Iberian geographical areas that we have studied (e. g., Senecio boissieri DC.: ; Gentiana alpina Vill., Kernera saxatilis (L.) Rchb. and Silene rupestris L.: ; Ferula loscosii Willk.: ; Cheirolophus intybaceus (Lam.) Dostál: ; Gentiana lutea L.: ).
Using the same set of nSSRs, we found two main genetic groups in the close relative B. stacei both distributed in southern Spain (S and SE Spain groups), from where it colonized the Mediterranean islands of Minorca and Majorca (SE Spanish group) and the oceanic Canary Islands (S Spanish group) apparently through different long distance dispersal (LDD) events . The potential existence of different mechanisms for long distance dispersal of seeds (not related to geographical distances) was also invoked to explain the unexpected relationships of genetically similar but geographically disjunct B. distachyon lineages across the Mediterranean area [3, 18]. Here, the finding of essentially similar low within-population genetic diversities in B. distachyon, the low sharing of alleles between geographical regions, and the highly selfing nature of this species support vicariance rather than long-distance dispersal as our preferred explanation for the patterns found in our study.
Ecological adaptations in Brachypodium distachyon
Besides historical factors (i.e., demography, glacial refugium), the genetic diversity of B. distachyon in the Iberian Peninsula seems to be also shaped by environmental isolation. Isolation by environment, in which genetic differentiation increases with environmental differences, independent of geographic distance, is one of the most important patterns that contribute to genetic divergence in nature . However, a non-zero effect of IBE independent of IBD, like the one reported here has rarely been reported in other studies [65, 66]. Here, we found that the genetic diversity of B. distachyon is significantly positively associated with soil pH and the temperature of the wettest quarter, suggesting that the lower these variables are the less would be the genetic variability of the B. distachyon in the populations studied. By contrast, the significantly negative association found between the genetic diversity parameters and isothermality, as well as with the temperature of the driest quartersuggests contrary results.
In comparison to other areas, a high number of alleles and even some heterozygosity were found in the NE Iberian populations of B. distachyon (Pyrenees, pre-Pyrenees and the Ebro Valley) and in the S Iberian area (Table 1; Fig. 1). Indeed, the Pyrenees and pre-Pyrenees and the Betic ranges probably acted as major glacial refugia in southern Europe where many lineages came into contact [67–70]. These areas experienced several climatic changes given rise to a complex phylogeographic pattern of refugia within refugia (e.g., [69, 71–73]) that might also sustain the diversity of alleles found here. Despite the NE Iberian population were represented by wild individuals that could potentially have higher levels of genetic diversity than the S1 individuals of the S and NW Iberian populations, the high selfing nature of the species makes the sampling effect almost negligible. We should also point that our sampling is limited in the NW and S of the Iberian Peninsula but the geographic area where we are reporting the existence of a higher genetic diversity is congruent with the results found using GBS techniques and a wide sampling of B. distachyon throughout the Mediterranean basin . In addition, our study has covered most areas of the Iberian Peninsula where the populations of B. distachyon grow and within the Iberian Peninsula our sampling reached novel geographic areas not included in the GBS study .
The highest diversity of B. distachyon found in the Ebro Valley, in a locality of very low altitude (CAN population), suggests that this area is also an important source of genetic diversity in this species, in accordance with several other phylogeographic studies (e.g., [74–76]). Palynological evidence also supports the Ebro Valley as an important glacial refugium during the last ice age and suggests the existence of a diverse composition of species in these glacial steppes [77–79]. In contrast to the strong topographic feature of the Pyrenees with peaks up to 3404 m a.s.l., and a general Eurosiberian climate (becoming more Mediterranean towards the east), with cold winters and heavily rainfall throughout the year, the Ebro Valley is characterized by a continental Mediterranean climate with low rainfall (300–350 mm/yr), high insolation and evapotranspiration (1000–1500 mm/yr), and the prevalence of strong, dry north-westerly winds where steppe grassland species predominate more often than in the Pyrenees . The number of alleles of B. distachyon in the Ebro Valley and its sharing with the populations of the Pyrenees and pre-Pyrenees range suggest that this species could have expanded from this refugium through the NE Spanish Mountains explaining the low number of alleles found in other populations.
The finding of higher allelic richness and higher number of alleles in populations occurring in basic soils suggests that these populations might be better adapted than those occurring in western areas of the Iberian Peninsula were the soils are more acidic (Fig. 1a), and therefore could accumulate Al ions causing toxicity in most plants, including B. distachyon, which is mostly an Al-sensitive plant . Thus, this could indicate that western Iberian acidic soils might prevent establishment and expansion of Al-sensitive B. distachyon populations, potentially causing the existence of more genetically depauperated individuals. Nevertheless, while low soil pH and the resulting increased Al-induced phytotoxicity could explain the low genetic diversity found here, the data in this study is insufficient to support a causal connection and this hypothesis should be tested experimentally. It is also worth noting that our soil pH levels were not measured during our sampling but rather taken from a publication. Although pH levels might be stable over time, this argues for caution when interpreting the accuracy of the statistical correlations found here.
Progress towards new genomic initiatives in Brachypodium distachyon and current limitations
The finding of a higher level of genetic variability and adaptation of B. distachyon to basic soils is promising within an agricultural context where tree iron chlorosis is a problem in some basic soils, which could be alleviated by grass covers, like those of annual Brachypodium species . This species and B. hybridum can protect the soil from being eroded  and are therefore suitable grass cover crops to olive grooves, vineyards and dry fruit croplands [81, 82]. Due to the high degree of homozygosity, obtaining inbreeding lines of B. distachyon can be easily done even under laboratory conditions allowing the rapid generation of reference and cultivated lines. A large and diverse germplasm collection of B. distachyon has now been assembled and it is freely available for the research community but new genetic studies continue to demonstrate novel unsuspected geographical areas of genetic diversity like the ones reported here. This demonstrates that more population genetic studies are needed to fully uncover the genetic diversity of this species. For instance, our knowledge concerning Central and Eastern Mediterranean and SW Asian populations is still limited (but see [14, 21]) and more studies are necessary to understand the genetic structure of this species across its native Mediterranean distribution. It would also be important to compare the native Mediterranean populations of B. distachyon to the ones introduced in other areas (e. g., Australia, J. Borewitz & J. Streitch, pers. com.) since although genetic diversity is lower in introduced areas, invasiveness might have also triggered the activation of new allelic variants in this species.
We thank Maria Luisa López-Herranz and Dimitry Feoktistov for laboratory assistance.
The study has been funded by two consecutive Spanish Ministry of Economy and Competitiveness grant projects (CGL2012–39953-C02–01, CGL2016–79790-P) and one Aragon Government and European Social Fund Bioflora grant to PC and IM. DL-A and VS were funded by a Spanish Ministry of Science and Innovation and a Tomsk State University PhD fellowship, respectively. DL-A was also supported by a Spanish Instituto de Estudios Altoaragoneses grant. IM received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007–2013) under REA grant agreement PIOF-GA-2011-301,257. PH was funded by Spanish Junta de Andalucia project AGR-0482.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files.
PC conceived and designed the experiments, IM, VS, PC analyzed the data, PC, DLA, contributed reagents/materials/analysis tools, IM, PC, AM, PH, MO wrote the paper, and all authors reviewed drafts of the paper. All authors read and approved the final manuscript.
The authors declare that they have no competing interests
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- Draper J, Mur LAJ, Jenkins G, Ghosh-Biswas GC, Bablak P, Hasterok R, et al. Brachypodium distachyon. A new model system for functional genomics in grasses. Plant Physiol. 2001;127:1539–55.Google Scholar
- International Brachypodium Initiative (IBI). Genome sequencing and analysis of the model grass Brachypodium distachyon. Nature. 2010;463:763–8.View ArticleGoogle Scholar
- Mur LA, Allainguillaume J, Catalán P, Hasterok R, Jenkins G, Lesniewska K, et al. Exploiting the Brachypodium tool box in cereal and grass research. New Phytol. 2011;191:334–47.Google Scholar
- Catalan P, Chalhoub B, Chochois V, Garvin DF, Hasterok R, Manzaneda AJ, Mur LAJ, Pecchioni N, Rasmussen SK, Vogel JP, Voxeur A) 2014. Update on genomics and basic biology of Brachypodium. Trends Plant Sci 19:414–418.Google Scholar
- Watt M, Schneebeli K, Dong P, Wilson IW. The shoot and root growth of Brachypodium and its potential as a model for wheat and other cereal crops. Funct Plant Biol. 2009;36:960–9.View ArticleGoogle Scholar
- Bevan MW, Garvin DF, Vogel JP. Brachypodium distachyon Genomics for sustainable food and fuel production. Curr Opin Biotechnol. 2010;21:211–7.View ArticlePubMedGoogle Scholar
- Guillon F, Bouchet B, Jamme F, Robert P, Quéméner B, Barron C, et al. Brachypodium distachyon Grain: characterization of endosperm cell walls. J Experimental Botany. 2011;62:1001–15.Google Scholar
- Opanowicz M, Hands P, Betts D, Parker ML, Toole GA, Mills ENC, et al. Endosperm development in Brachypodium distachyon. J Exp Bot. 2011;62:735–48.Google Scholar
- Wang K, Han X, Dong K, Gao L, Li H, Ma W, et al. Characterization of seed proteome in Brachypodium distachyon. J Cereal Sci. 2011;52:177–86.Google Scholar
- Gordon SP, Priest H, Des Marais DL, Schackwitz W, Figueroa M, Martin J, Bragg JN, Tyler L, Lee C.-R, Bryant D, Wang W, Messing J, Manzaneda AJ, Barry K, Garvin DF, Budak H, Tuna M, Mitchell-Olds T, Pfender WF, Juenger TE, Mockler TC, Vogel JP. 2014. Genome diversity in Brachypodium distachyon: deep sequencing of highly diverse inbred lines. Plant J 79: 361–374.Google Scholar
- Brkljacic J, Grotewold E, Scholl R, Mockler T, Garvin DF, Vain P, et al. Brachypodium as a model for the grasses: today and the future. Plant Physiol. 2011;157:3–13.Google Scholar
- Manzaneda AJ, Rey PJ, Bastida JM, Weiss-Lehman C, Raskin E, Mitchell-Olds T. Environmental aridity is associated with cytotype segregation and polyploidy occurrence in Brachypodium distachyon (Poaceae). New Phytol. 2012;193:797–805.View ArticlePubMedGoogle Scholar
- Manzaneda AJ, Rey PJ, Anderson JT, Raskin E, Weiss-Lehman C, Mitchell-Olds T. Natural variation, differentiation, and genetic trade-offs of ecophysiological traits in response to water limitation in Brachypodium distachyon and its descendent allotetraploid B. hybridum (Poaceae). Evolution. 2015;69:2689–704.View ArticlePubMedPubMed CentralGoogle Scholar
- Tyler L, Fangel JU, Fagerström AD, Steinwand MA, Raab TK, Willats WGT, et al. Selection and phenotypic characterization of a core collection of Brachypodium distachyon inbred lines. BMC Plant Biol. 2014;14:25. doi:10.1186/1471-2229-14-25.
- Shindo C, Bernasconi G, Hardtke CS. Natural genetic variation in Arabidopsis: tools, traits and prospects for evolutionary ecology. Ann Bot. 2007;99(6):1043–54.View ArticlePubMedPubMed CentralGoogle Scholar
- Catalán P, Müller J, Hasterok R, Jenkins G, Mur LAJ, Langdon T, et al. Evolution and taxonomic split of the model grass Brachypodium distachyon (L.) P. Beauv. Ann Bot. 2012;109:385–405.Google Scholar
- Catalán P, López-Alvarez D, Bellosta C, Villar L. 2016a. Updated taxonomic descriptions, iconography, and habitat preferences of Brachypodium distachyon, B. stacei and B. hybridum (Poaceae). Anales Jardin Botánico Madrid 73(1): e028.Google Scholar
- López-Alvarez D, López-Herranz ML, Betekhtin A, Catalán P. 2012. A DNA barcoding method to discriminate between the model plant Brachypodium distachyon and its close relatives B. stacei and B. hybridum (Poaceae). PLoS ONE 7(12): e51058.Google Scholar
- López-Alvarez D, Zubair H, Beckmann M, Draper J, Catalán P. 2016. Diversity and association of phenotypic and metabolomic traits in the close model grasses Brachypodium distachyon, B. stacei and B. hybridum. Annals of Botany (early on-line) doi:101093/aob/mcw239.Google Scholar
- Filiz E, Ozdemir BS, Budak F, Vogel JP, Tuna M, Budak H. Molecular, morphological, and cytological analysis of diverse Brachypodium distachyon inbred lines. Genome. 2009;52:876–90.View ArticlePubMedGoogle Scholar
- Vogel JP, Tuna M, Budak H, Huo N, Gu Y-Q, Steinwand MA. Development of SSR markers and analysis of diversity in Turkish populations of Brachypodium distachyon. BMC Plant Biol. 2009;9(1):88.View ArticlePubMedPubMed CentralGoogle Scholar
- Tyler L, Lee SJ, Young N, Delulio GA, Benavente E, Reagon M, et al. Population structure in the model grass Brachypodium distachyon is highly correlated with flowering differences across broad geographic areas. The Plant Genome. 2016; doi:10.3835/plantgenome2015.08.0074.
- López-Alvarez D, Manzaneda AJ, Rey PJ, Giraldo P, Benavente E, Allainguillaume J, et al. Environmental niche variation and evolutionary diversification of the Brachypodium distachyon grass complex species in their native circum-Mediterranean range. Am J Bot. 2015;102:1–16.Google Scholar
- Contreras R, Figueiras AM, Gallego FJ, Benito C. Brachypodium distachyon: a model species for aluminium tolerance in Poaceae. Funct Plant Biol. 2014;41:1270–83.View ArticleGoogle Scholar
- Von Uexküll HR, Mutert E. Global extent, development and economic impact of acid soils. Plant Soil. 1995;171:1–15.View ArticleGoogle Scholar
- Shiposha V, Catalán P, Olonova M, Marques I. Genetic structure and diversity of the selfing model grass Brachypodium stacei (Poaceae) in western Mediterranean: out of the Iberian Peninsula and into the islands. PeerJ. 2016;4:e2407. doi:10.7717/peerj.2407.View ArticlePubMedPubMed CentralGoogle Scholar
- Neji M, Geuna F, Taamalli W, Ibrahim Y, Chiozzottoo R, Abdelly C, et al. Assessment of genetic diversity and population structure of Tunisian populations of Brachypodium hybridum by SSR Markers. Flora,-Morphology. Distribution, Functional Ecology of Plants. 2015;216:42–9.Google Scholar
- Rosenthal DM, Ramakrishnan AP, Cruzan MB. Evidence for multiple sources of invasion and intraspecific hybridization in Brachypodium sylvaticum (Hudson) Beauv. In North America. Mol Ecol. 2008;17:4657–69.View ArticlePubMedGoogle Scholar
- Mo X, Gao J, Gao L. Characterization of microsatellite markers and their application to genetic diversity analysis of Brachypodium sylvaticum Var. breviglume from Yunnan, China. Am J Plant Sci. 2013;4:1427–34.View ArticleGoogle Scholar
- Hodel RGJ, Segovia-Salcedo MC, Landis JB, Growl AA, Sun M, Liu X, et al. The report of my death was an exaggeration: a review for researchers using microsatellites in the 21st century. Applications in Plant Sciences. 2016;4:1600025.Google Scholar
- Giraldo P, Rodriguez-Quijano M, Vazquez JF, Carrillo JM, Benavente E. Validation of. Microsatellite markers for cytotype discrimination in the model grass Brachypodium distachyon. Genome. 2012;55:523–7.View ArticlePubMedGoogle Scholar
- van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P. MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Resour. 2004;4:535–8.View ArticleGoogle Scholar
- Goudet J. FSTAT, version 2.9. 3, A program to estimate and test gene diversities and fixation indices. Lausanne: Lausanne University; 2001.Google Scholar
- Chybicki IJ, Burczyk J. Simultaneous estimation of null alleles and inbreeding coefficients. J Hered. 2009;100:106–13.View ArticlePubMedGoogle Scholar
- Chybicki IJ, Oleksa A, Burczyk J. Increased inbreeding and strong kinship structure in Taxus baccata estimated from both AFLP and SSR data. Heredity. 2011;107:589–600.View ArticlePubMedPubMed CentralGoogle Scholar
- Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155:945–59.PubMedPubMed CentralGoogle Scholar
- Earl DA, vonHoldt BM. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour. 2012;4:359–61.View ArticleGoogle Scholar
- Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005;14:2611–20.View ArticlePubMedGoogle Scholar
- Jakobsson M, Rosenberg NA. CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics. 2007;23:1801–6.View ArticlePubMedGoogle Scholar
- Corander J, Marttinen P, Mantyniemi S. Bayesian identification of stock mixtures from molecular marker data. Fish Bull. 2006;104:550–8.Google Scholar
- Langella O. POPULATIONS 1·2: population genetic software, individuals or population distance, phylogenetic trees. 2000. http://bioinformatics.org/~tryphon/populations/.Google Scholar
- Nei M, Chesser RK. Estimation of fixation indices and gene diversities. Ann Hum Genet. 1983;47:253–9.View ArticlePubMedGoogle Scholar
- Peakall R, Smouse PE. GENALEX 6: genetic analysis in excel. Population genetic software for teaching and research. Mol Ecol Notes. 2006;6:288–95.View ArticleGoogle Scholar
- Excoffier L, Laval G, Schneider S. Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinformatics Online. 2005;1:47–50.Google Scholar
- Slatkin M. A measure of population subdivision based on microsatellite allele frequencies. Genetics. 1995;139:457–62.PubMedPubMed CentralGoogle Scholar
- Goldstein DB, Pollock DD. Launching microsatellites: a review of mutation processes and methods of phylogenetic inference. J Hered. 1997;88:335–42.View ArticlePubMedGoogle Scholar
- Raymond M, Rousset F. GENEPOP version 1.2: population genetics software for exact tests and ecumenicism. J Hered. 1995;86(3):248–9.View ArticleGoogle Scholar
- Ersts PJ. 2016. Geographic Distance Matrix Generator (version 1.2.3). American Museum of Natural History, Center for Biodiversity and Conservation. Available from http://biodiversityinformatics.amnh.org/open_source/gdmg. Accessed from internet on 2016–9-2.
- Mantel N. The detection of disease clustering and a generalized regression approach. Cancer Res. 1967;27:209–20.PubMedGoogle Scholar
- Rohlf FJ. 2002. NtSYSpc, numerical taxonomy and multivariate analysis system. Version 2.11a, user guide. Exeter software, New York.Google Scholar
- López M, Grau JM. 2004. Metales pesados, materia orgánica y otros parámetros de la capa superficial de los suelos agrícolas y de pastos de España peninsular. Resultados por provincias II. Instituto Nacional de Tecnología Agraria y Alimentaria (INIA). Ministerio de Educación y Ciencia de España.Google Scholar
- Goslee SC, Urban DL. The ecodist package for dissimilarity-based analysis of ecological data. J Stat Softw. 2007;22(7):1–19.View ArticleGoogle Scholar
- Hamrick JL, Godt MJW. Effects of life history traits on genetic diversity in plant species. Philosophical Transactions of the Royal Society of London Series B. 1996;351:1291–8.View ArticleGoogle Scholar
- Nybom H. Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Mol Ecol. 2004;13:1143–55.View ArticlePubMedGoogle Scholar
- Wright S. The interpretation of population structure by F-statistics with special regard to systems of mating. Evolution. 1965;19:395–420.View ArticleGoogle Scholar
- Catalán P, López-Alvarez D, Díaz-Pérez A, Sancho R, López-Herranz ML. Phylogeny and evolution of the genus Brachypodium. In: Vogel J, editor. Genetics and genomics of Brachypodium. Series Plant Genetics and Genomics: Crops Models. Springer. New York; 2016b. p. 9–38.Google Scholar
- Shirk RY, Hamrick JL, Zhang C, Qiang S. Patterns of genetic diversity reveal multiple introductions and recurrent founder effects during range expansion in invasive populations of Geranium carolinianum (Geraniaceae). Heredity. 2014;112:497–507.View ArticlePubMedGoogle Scholar
- Gimode D, Odeny DA, de Villiers EP, Wanyonyi S, Dida MM, Mneney EE, et al. Identification of SNP and SSR markers in finger millet using next generation sequencing technologies. PLoS One. 2016;11(7):e0159437.Google Scholar
- Peredo EL, Angeles Revilla M, Jimenez-Alfaro B, Bueno A, Fernández Prieto JA, Abbott RJ. Historical biogeography of a disjunctly distributed, Spanish alpine plant, Senecio boissieri (Asteraceae). Taxon. 2009;58(3):883–92.Google Scholar
- Kropf M, Comes HP, Kadereit JW. Long-distance dispersal vs vicariance: the origin and genetic diversity of alpine plants in the Spanish sierra Nevada. New Phytol. 2006;172:169–84.View ArticlePubMedGoogle Scholar
- Pérez-Collazos E, Sánchez-Gómez P, Jiménez JF, Catalán P. The phylogeographic history of the Iberian steppe plant Ferula loscosii (Apiaceae): a test of the abundant-centre hypothesis. Mol Ecol. 2009;18:848–61.View ArticlePubMedGoogle Scholar
- Garnatje T, Pérez-Collazos E, Pellicer J, Catalán P. Balearic insular isolation and large continental spread framed the phylogeography of the western Mediterranean Cheirolophus intybaceus s.L. (Asteraceae). Plant Biol. 2013;15:165–75.View ArticleGoogle Scholar
- González-López O, Polanco C, Gyorgy Z, Pedryc A, Casquero PA. Genetic variation of the endangered Gentiana lutea L. Var. aurantiaca (Gentianaceae) in populations from the northwest Iberian Peninsula. International Journal of Molecular Science. 2014;2014:10052–66.View ArticleGoogle Scholar
- Wang IJ, Bradburd GS. Isolation by environment. Mol Ecol. 2014;23:5649–62.View ArticlePubMedGoogle Scholar
- Shafer ABA, Wolf JBW. Widespread evidence for incipient ecological speciation: a meta-analysis of isolation-by-ecology. Ecol Lett. 2013;16:940–50.View ArticlePubMedGoogle Scholar
- Sexton JP, Hangartner SB, Hoffmann AA. Genetic isolation by environment or distance: which pattern of gene flow is most common? Evolution. 2014;62:1–15.View ArticleGoogle Scholar
- Hewitt GM. The genetic legacy of the quaternary ice ages. Nature. 2000;405:907–13.View ArticlePubMedGoogle Scholar
- Hewitt GM. Genetic consequences of climatic oscillations in the quaternary. Philosophical Transactions of the Royal Society of London Series B. 2004;358:183–96.View ArticleGoogle Scholar
- Nieto FG. Southern European glacial refugia: a tale of tales. Taxon. 2011;60:365–72.Google Scholar
- Theissinger K, Bálint M, Feldheim KA, Haase P, Johannesen J, Laube I. Pauls SU. 2013. Glacial survival and post-glacial recolonization of an arctic–alpine freshwater insect (Arcynopteryx dichroa, Plecoptera, Perlodidae) in Europe. J Biogeogr 40: 236–248.Google Scholar
- Charrier O, Dupont P, Pornon A, Escaravage N. Microsatellite marker analysis reveals the complex phylogeographic history of Rhododendron ferrugineum (Ericaceae) in the Pyrenees. PLoS One. 2014;9(3):e92976. doi:10.1371/journal.pone.0092976.View ArticlePubMedPubMed CentralGoogle Scholar
- Liberal IM, Burrus M, Suchet C, Thébaud C, Vargas V. 2014. The evolutionary history of Antirrhinum in the Pyrenees inferred from phylogeographic analyses. BMC Evolutionary Biology 2014, 14:146.Google Scholar
- Bidegaray-Batista L, Sánchez-Garcia A, Santulli G, Maiorano L, Guisan A, Vogler AP, et al. Imprints of multiple glacial refugia in the Pyrenees revealed by the phylogeography and paleodistribution modelling of an endemic spider. Mol Ecol. 2016;25:2046–64.Google Scholar
- Sánchez-Goñi MF, Hannon G. High-altitude vegetational pattern on the Iberian Mountain chain (north-central Spain) during the Holocene. The Holocene. 1999;9:39–57.View ArticleGoogle Scholar
- Cottrella V, Krystufekb, HE, Tabbenera AD, Milnera T, Connollya L, Singa S, Fluchb K, Burgb F, Lefèvrec P, Achardc S, Bordácsd K, Gebhardte B, Vornamf MJM, Smuldersg AH, Vanden Broeckh J, Van Slyckenh V, Stormei W, Boerjani S, Castiglionei T, Fossatij N, Albak D, Agúndezk C, Maestrol E, Notivoll J, Bovenschenm BC, van Damm. 2005. Postglacial migration of Populus nigra L.: lessons learnt from chloroplast DNA J.E. For Ecol Manag 206: 71–90.Google Scholar
- Pérez-Collazos E, Segarra-Moragues JG, Catalán P. Two approaches for the selection of relevant genetics units for conservation (RGUCs) in the narrow European endemic steppe plant Boleum asperum (Brassicaceae). Biological Journal Linnean Society. 2008;94:341–54.View ArticleGoogle Scholar
- González-Sampériz P, Valero-Garcés B, Carrión García JS. Was the Ebro valley a refugium for temperate trees? An Biol. 2004;26:13–20.Google Scholar
- González-Sampériz P, Valero-Garcés BL, Carrión JS, Peña-Monné JL, García-Ruiz JM, Martí-Bono C. Glacial and lateglacial vegetation in northeastern Spain: new data and a review. Quat Int. 2005;140(141):4–20.View ArticleGoogle Scholar
- Gómez A, Lunt DH. Refugia within refugia: patterns of phylogeographic concordance in the Iberian Peninsula. In: Weiss S, Ferrand N, editors. Phylogeography in southern European refugia: evolutionary perspectives on the origin and conservation of european biodiversity. Dordrecht: Springer; 2007. p. 155–88.View ArticleGoogle Scholar
- Cuadrat JM. 1999. El Clima de Aragón. CAI-100. Zaragoza: Institución “Fernando El Católico.”Google Scholar
- Cañasveras JC, del Campillo MC, Barrón V, Torrent J. Intercropping with grasses helps to reduce iron chlorosis in olive. J Soil Sci Plant Nutr. 2014;14(3):554–64.Google Scholar
- González Moreno A, Casanova Pena C, Gascó A, Rodríguez Martín JA. Brachypodium hybridum plant cover improves water infiltration in Mediterranean crop soils. Journal of Plant Chemistry and Ecophysiology. 2016;1(2):1008.Google Scholar