Plant Genetic Diversity Research Articles

Inhibitory effect of essential oils from native Atlantic Forest plants on the growth of Escherichia coli and Bacillus thuringiensis

Brazil is a country rich in biodiversity, with the largest plant genetic diversity in the world; Brazilian medicinal plants are considered promising, but there is little knowledge about them from any point of view. Considering the increase in the number of microorganisms resistant to antimicrobial agents available in the market, the need and relevance of studies to find new compounds with antimicrobial activity has arisen. Objective: The present study aimed to evaluate the inhibitory effect of essential oils from Pimenta pseudocaryophyllus and Piper species native to the Atlantic Forest on Gram-negative (Escherichia coli) and Gram-positive (Bacillus thuringiensis) bacteria. Material and Methods: The essential oils were extracted from dried leaves of native plant species by the hydrodistillation method using a graduated Clevenger apparatus with 1 liter of distilled water for 2.5 hours. For the evaluation of the inhibitory effect of the essential oils, the pure oil and the agar diffusion technique were used. Results: The essential oils of the species of the genus Piper did not show promissive results. However, the volatile portion extracted from Pimenta pseudocaryophyllus has shown positive results against the tested bacterial cells. Conclusion: The essential oils from Piper species have no inhibitory effect on Gram-negative bacteria (E. coli), showing antimicrobial activity only on Gram-positive bacteria (B. thuringiensis). On the other hand, the species P. pseudocaryophyllus has a potential antimicrobial action on both bacteria E. coli and B. thuringiensis.

Wild Seed Conservation in National Botanical Garden, Lalitpur, Nepal

Seed banks are the important means for the ex-situ conservation of plant genetic diversity. Though the seeds of domesticated varieties have been preserved for a long time, wild seed conservation is a noble concept in Nepal. Seed Bank of National Botanical Garden, Godawari, Lalitpur (NBG) is a major initiative for the conservation of wild plant seeds in Nepal. In the present study, a standardized seed banking procedures practiced at the Seed Bank of NBG, from seed collection to storage including germination test has been included. Currently, seeds of 84 wild species belonging to 77 genera of 47 families are preserved in the NBG. Alongside preserving wild genetic resources, NBG Seed Bank also provides materials for restoration, reintroduction and research that supports broader plant conservation goals, as well as contributes to education and public awareness about plant conservation.

Development of a simple multiple mutation detection system using seed-coat flavonoid pigments in irradiated Arabidopsis M1 plants

Ionizing radiation induces genetic variations in plants, which makes it useful for plant breeding. A theory that the induced mutations occur randomly in the genome has long been accepted, but is now controversial. Nevertheless, a comparative analysis of the mutations at multiple loci has not been conducted using irradiated M1 genomes that contain all types of mutations. In this study, we identified Arabidopsis mutants (pab2 and pab3) in a mutagenized population of an anthocyanin-positive seed mutant (ban). Both pab2 and pab3 were revealed to be double mutants (tt4 ban and tt8 ban, respectively) that produced similar anthocyanin-less immature seeds, but differentially colored mature seeds. These features enabled the seed color-based detection of de novo M1 mutations in TT4 or TT8 following the irradiation of double heterozygous plants (TT4/tt4 TT8/tt8 ban/ban). Most of the irradiated double heterozygous plants produced anthocyanin-positive immature seeds, but 19 plants produced anthocyanin-less immature seeds. Of these 19 mutants, 2 and 17 exhibited tt4- and tt8-type mature seed coloration, respectively. The molecular analysis of the seed coat DNA from randomly selected anthocyanin-less seeds detected mutations at the locus predicted on the basis of the phenotype. Thus, the simple system developed in this study can reliably detect radiation-induced mutations at multiple loci in irradiated Arabidopsis M1 plants.

Clinical analysis of 4 children with hereditary hypercholesterolemia

Objective: To investigate the clinical characteristics of hereditary hypercholesterolemia in childhood. Methods: The clinical data including general conditions, clinical manifestations, laboratory tests, and genetic testing results of 4 children with hereditary hypercholesterolemia who admitted to Henan Children's Hospital from January 2020 to December 2020 were retrospectively analyzed. Results: There were 4 female children aged 5.5,1.5,6.3,3.1 years, all presented with skin xanthoxoma as the chief complaint. Plasma total cholesterol (range 11.8 to 20.9 mmol/L) and low density lipoprotein-cholesterol (range 8.2 to 13.7 mmol/L) were significantly elevated. The serum β-glutamate levels in case 1 (241.2 μmol/L) and case 2 (164.2 μmol/L) increased significantly. Genetic analysis revealed compound heterozygous variants of ABCG8 gene in case 1 and ABCG5 gene in case 2 who were diagnosed with sitosterolemia. Case 3 and 4 who all had family history of hypercholesterolemia and compound heterozygous variants of LDLR gene were diagnosed with familial hypercholesterolemia. After diet treatment, the blood lipids returned normal and the skin xanoma subsided in case 1 and 2. In case 3 and 4, the blood lipids gradually decreased after diet and rosuvastatin treatment. Conclusions: Xanthomatosis is the common clinical manifestation of sitosterolemia and familial hypercholesterolemia. Family history, blood plant sterol profile, genetic variation, and changes in blood lipids after early dietary treatment are helpful for disease identification.

Plant genetic diversity affects multiple trophic levels and trophic interactions

Intraspecific genetic diversity is an important component of biodiversity. A substantial body of evidence has demonstrated positive effects of plant genetic diversity on plant performance. However, it has remained unclear whether plant genetic diversity generally increases plant performance by reducing the pressure of plant antagonists across trophic levels for different plant life forms, ecosystems and climatic zones. Here, we analyse 4702 effect sizes reported in 413 studies that consider effects of plant genetic diversity on trophic groups and their interactions. We found that that increasing plant genetic diversity decreased the performance of plant antagonists including invertebrate herbivores, weeds, plant-feeding nematodes and plant diseases, while increasing the performance of plants and natural enemies of herbivores. Structural equation modelling indicated that plant genetic diversity increased plant performance partly by reducing plant antagonist pressure. These results reveal that plant genetic diversity often influences multiple trophic levels in ways that enhance natural pest control in managed ecosystems and consumer control of plants in natural ecosystems for sustainable plant production.

CAPG: comprehensive allopolyploid genotyper.

Genotyping by sequencing is a powerful tool for investigating genetic variation in plants, but many economically important plants are allopolyploids, where homoeologous similarity obscures the subgenomic origin of reads and confounds allelic and homoeologous SNPs. Recent polyploid genotyping methods use allelic frequencies, rate of heterozygosity, parental cross or other information to resolve read assignment, but good subgenomic references offer the most direct information. The typical strategy aligns reads to the joint reference, performs diploid genotyping within each subgenome, and filters the results, but persistent read misassignment results in an excess of false heterozygous calls. We introduce the Comprehensive Allopolyploid Genotyper (CAPG), which formulates an explicit likelihood to weight read alignments against both subgenomic references and genotype individual allopolyploids from whole-genome resequencing data. We demonstrate CAPG in allotetraploids, where it performs better than Genome Analysis Toolkit's HaplotypeCaller applied to reads aligned to the combined subgenomic references. Code and tutorials are available at https://github.com/Kkulkarni1/CAPG.git. Supplementary data are available at Bioinformatics online.

TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis)

Genome variation not only plays an important role in plant phenotypic modeling and adaptive evolution, but also enhances population genetic diversity and regulates gene expression. The tea tree (Camellia sinensis) has a large genome (~ 3.0 Gb), making the identification of genome-wide variants time-consuming and expensive. With the continuous publication of a large number of different types of population sequencing data, there is a lack of an open platform to integrate these data and identify variants in the tea plant genome.To integrate the genetic variation confidence in the tea plant population genome, 238 whole-genome resequencing, 213 transcriptome sequencing, and 96 hybrid F1 individuals with a total of more than 20 Tb were collected for mutation site identification. Based on these variations information, we constructed the first tea tree variation web service database TeaPVs (http://47.106.184.91:8025/ and http://liushang.top:8025/). It supports users to search all SNP, Indel, SV mutations and SSR/Polymorphic SSR sequences by location or gene ID. Furthermore, the website also provides the functions of gene expression search of different transcriptome, sequence blast, sequence extraction of CDS and mutation loci, etc.The features of the TeaPVs database make it a comprehensive tea plant genetic variation bioinformatics platform for researchers, and will also be helpful for revealing new functional mutations in the tea plant genome and molecular marker-assisted breeding.

Demographic history and gene flow in the peatmosses Sphagnum recurvum and Sphagnum flexuosum (Bryophyta: Sphagnaceae).

Population size changes and gene flow are processes that can have significant impacts on evolution. The aim of this study was to investigate the relationship of geography to patterns of gene flow and population size changes in a pair of closely related Sphagnum (peatmoss) species: S. recurvum and S. flexuosum. Both species occur in eastern North America, and S. flexuosum also occurs in Europe. Genetic data from restriction-site-associated DNA sequencing (RAD-seq) were used in this study. Analyses of gene flow were accomplished using coalescent simulations of site frequency spectra (SFSs). Signatures of gene flow were confirmed by f 4 statistics. For S. flexuosum, genetic diversity of plants in glaciated areas appeared to be lower than that in unglaciated areas, suggesting that glaciation can have an impact on effective population sizes. There is asymmetric gene flow from eastern North America to Europe, suggesting that Europe might have been colonized by plants from eastern North America after the last glacial maximum. The rate of gene flow between S. flexuosum and S. recurvum is lower than that between geographically disjunct S. flexuosum populations. The rate of gene flow between species is higher among sympatric plants of the two species than between currently allopatric S. flexuosum populations. There was also gene flow from S. recurvum to the ancestor S. flexuosum on both continents which occurred through secondary contact. These results illustrate a complex history of interspecific gene flow between S. flexuosum and S. recurvum, which occurred in at least two phases: between ancestral populations after secondary contact and between currently sympatric plants.

Intraspecific plant variation and nonhost herbivores affect parasitoid host location behaviour

Parasitoids need to find their hosts in patchy environments that differ in profitability. To maximize foraging efficiency, parasitoids use volatile information of plants on which their hosts feed. The blend of plant volatiles emitted is affected by genetic variation in plants and by the herbivore species feeding on the plant. How parasitoids deal with variation in plant volatiles induced by host or nonhost herbivores on various plant genotypes in a plant stand is unclear. In a wind tunnel, we examined foraging behaviour of the parasitoid Cotesia glomerata in mixes of white cabbage cultivars with host ( Pieris brassicae ) and nonhost herbivores ( Mamestra brassicae or Delia radicum ). We specifically studied the efficiency of parasitoids in locating a host-infested plant when having to pass three other plants that varied in volatile emission by cultivar and herbivore identity. We show that foraging decisions of C. glomerata are affected by the apparency of volatile cues from upwind host-infested plants. We found that parasitoids flew over the first three plants more often when the last plant was a host-infested attractive cultivar and the first three plants were a less attractive cultivar, regardless of the presence of host or nonhost herbivores. Furthermore, parasitoids spent more time on the first three plants if these were infested with host or nonhost larvae, and this effect was stronger when the first three plants were of the attractive cultivar. Our results suggest that parasitoids may more easily locate host herbivores on plant genotypes with more apparent volatile information. However, host location efficiency is affected by the contrast with other plumes of plant volatiles derived from genotypic variation in plants and induction of volatiles by nonhost herbivores. Apparency of information on upwind patches influences patch residence time and patch choice and is an important component of optimal foraging in parasitoids. • Foraging decisions by Cotesia glomerata are affected by the apparency of information. • Profitability of upwind patches affects foraging decisions on the current patch. • Nonhost herbivores with traits similar to the host reduced host location efficiency. • Established parasitoid cultivar preferences are nuanced in complex plant mixtures.

AGO1 and HSP90 buffer different genetic variants in Arabidopsis thaliana.

Argonaute 1 (AGO1), the principal protein component of microRNA-mediated regulation, plays a key role in plant growth and development. AGO1 physically interacts with the chaperone HSP90, which buffers cryptic genetic variation in plants and animals. We sought to determine whether genetic perturbation of AGO1 in Arabidopsis thaliana would also reveal cryptic genetic variation, and if so, whether AGO1-dependent loci overlap with those dependent on HSP90. To address these questions, we introgressed a hypomorphic mutant allele of AGO1 into a set of mapping lines derived from the commonly used Arabidopsis strains Col-0 and Ler. Although we identified several cases in which AGO1 buffered genetic variation, none of the AGO1-dependent loci overlapped with those buffered by HSP90 for the traits assayed. We focused on 1 buffered locus where AGO1 perturbation uncoupled the traits days to flowering and rosette leaf number, which are otherwise closely correlated. Using a bulk segregant approach, we identified a nonfunctional Ler hua2 mutant allele as the causal AGO1-buffered polymorphism. Introduction of a nonfunctional hua2 allele into a Col-0 ago1 mutant background recapitulated the Ler-dependent ago1 phenotype, implying that coupling of these traits involves different molecular players in these closely related strains. Taken together, our findings demonstrate that even though AGO1 and HSP90 buffer genetic variation in the same traits, these robustness regulators interact epistatically with different genetic loci, suggesting that higher-order epistasis is uncommon. Plain Language Summary Argonaute 1 (AGO1), a key player in plant development, interacts with the chaperone HSP90, which buffers environmental and genetic variation. We found that AGO1 buffers environmental and genetic variation in the same traits; however, AGO1-dependent and HSP90-dependent loci do not overlap. Detailed analysis of a buffered locus found that a nonfunctional HUA2 allele decouples days to flowering and rosette leaf number in an AGO1-dependent manner, suggesting that the AGO1-dependent buffering acts at the network level.

Intraspecific differentiation of Allium canadense var. canadense (Amaryllidaceae) across the North American Coastal Plain

AbstractPolyploidy increases genetic variation in plants, leading to adaptations allowing expansion into novel habitats and increased genetic differentiation among populations isolated by barriers to dispersal. Allium canadense var. canadense is a polyploid taxon distributed within the North American Coastal Plain (NACP) biodiversity hotspot. It is the only one of six varieties in a species complex of wild onions native to North America that exhibits bulbils responsible for vegetative reproduction, which may lead to low levels of genetic variation within populations. Despite its threatened/endangered status in the northeast United States and noxious weed listing in Arkansas, USA, little is known about intraspecific differentiation among populations which may be impacted by riverine barriers or seasonal latitudinal gradients. We used sequences of one nuclear (ITS) and two chloroplast (trnL‐F and rpl32‐trnL) DNA regions generated from eight populations in the NACP and one population in Kansas, USA to examine genetic diversity and population structure of A. canadense var. canadense. A total of 12 ITS ribosomal and 10 chloroplast DNA haplotypes were identified. Phylogenetic analyses indicated two major lineages which corresponded to the genealogical relationships identified in the population structure analyses. Significant genetic subdivision among populations was detected across all populations by analysis of molecular variance. Overall, geographic structuring is apparent among populations of A. canadense var. canadense and populations showed moderate levels of gene diversity. These findings are indicative of the complex nature of polyploids and their contribution to genetic diversity among populations with mating systems that might otherwise have no phylogeographic structure.

Additive genetic effects in interacting species jointly determine the outcome of caterpillar herbivory

Plant-insect interactions are common and important in basic and applied biology. Trait and genetic variation can affect the outcome and evolution of these interactions, but the relative contributions of plant and insect genetic variation and how these interact remain unclear and are rarely subject to assessment in the same experimental context. Here, we address this knowledge gap using a recent host-range expansion onto alfalfa by the Melissa blue butterfly. Common garden rearing experiments and genomic data show that caterpillar performance depends on plant and insect genetic variation, with insect genetics contributing to performance earlier in development and plant genetics later. Our models of performance based on caterpillar genetics retained predictive power when applied to a second common garden. Much of the plant genetic effect could be explained by heritable variation in plant phytochemicals, especially saponins, peptides, and phosphatidyl cholines, providing a possible mechanistic understanding of variation in the species interaction. We find evidence of polygenic, mostly additive effects within and between species, with consistent effects of plant genotype on growth and development across multiple butterfly species. Our results inform theories of plant-insect coevolution and the evolution of diet breadth in herbivorous insects and other host-specific parasites.

Genetic and nuclear DNA content variation of stevia (Stevia rebaudiana Bertoni) accessions grown in Turkey

The objectives of this study were to make morphological and molecular characterization of Turkish stevia accessions. The field data showed significant variations (P < 0.05) for all morphological parameters (plant height, number of main stems per plant, number of secondary stems, fresh and herb yields) exception with number of secondary stems. The primers of MtP5CS, AtNHX1, MtProDH, Mt-Actin MtSOS1and MtSOS2 genes were used as loci specific DNA markers. All markers were amplified in Stevia genome and provided a mean of 74.16% polymorphism rate. Flow cytometer analysis showed no statistically significant differences (P < 0.16) for 2C DNA content with a mean of 1.62 pg. The UPGMA analysis revealed that Samsun accession was distinctly separated from the others and had the lowest 2C DNA content (1.52 pg). This study first time showed that the stevia accessions grown in Turkey have limited genetic and no nuclear DNA content variations. The results also revealed that gene targeted functional markers associated with salt and drought tolerance have a great potential to be used as DNA markers to determine the genetic variation in plants

Association analyses of host genetics, root-colonizing microbes, and plant phenotypes under different nitrogen conditions in maize.

The root-associated microbiome (rhizobiome) affects plant health, stress tolerance, and nutrient use efficiency. However, it remains unclear to what extent the composition of the rhizobiome is governed by intraspecific variation in host plant genetics in the field and the degree to which host plant selection can reshape the composition of the rhizobiome. Here, we quantify the rhizosphere microbial communities associated with a replicated diversity panel of 230 maize (Zea mays L.) genotypes grown in agronomically relevant conditions under high N (+N) and low N (-N) treatments. We analyze the maize rhizobiome in terms of 150 abundant and consistently reproducible microbial groups and we show that the abundance of many root-associated microbes is explainable by natural genetic variation in the host plant, with a greater proportion of microbial variance attributable to plant genetic variation in -N conditions. Population genetic approaches identify signatures of purifying selection in the maize genome associated with the abundance of several groups of microbes in the maize rhizobiome. Genome-wide association study was conducted using the abundance of microbial groups as rhizobiome traits, and n=622 plant loci were identified that are linked to the abundance of n=104 microbial groups in the maize rhizosphere. In 62/104 cases, which is more than expected by chance, the abundance of these same microbial groups was correlated with variation in plant vigor indicators derived from high throughput phenotyping of the same field experiment. We provide comprehensive datasets about the three-way interaction of host genetics, microbe abundance, and plant performance under two N treatments to facilitate targeted experiments toward harnessing the full potential of root-associated microbial symbionts in maize production.

No evidence for host plant associated genetic divergence in a population of Bullacris unicolor (Linnaeus, 1758) (Orthoptera: Pneumoridae)

Host-associated genetic differentiation in grasshoppers has received limited attention, due to a lack of information on grasshopper-plant associations. The bladder grasshopper, Bullacris unicolor (Linnaeus, 1758) (Orthoptera: Pneumoridae), is a phytophagous species that can occur on at least six host plants within its geographic range. However, the relationship between host plant association and genetic variation of bladder grasshoppers has not been studied before. In light of this, the present study examined host plant-related genetic [mitochondrial cytochrome oxidase 1 (CO1) and the internal transcribed spacer (ITS) gene regions] and morphological (antennal length, body length, head width, abdomen width, femur length, tibia length and pronotum length) divergence within a population of B. unicolor. We used two plant species, belonging to different families, namely Didelta spinosa (L.fil.) Aiton (Asteraceae) and Roepera morgsana (L.) Beier & Thulin (Zygophyllaceae), to evaluate variation between individuals collected on these two sympatric host plants at a single locality in the Northern Cape, South Africa. The results demonstrated non-significant host related genetic variation with very low values of FST, indicating a low level of variation. The phylogram strongly indicated that there are no host-associated genetic differences in B. unicolor by displaying limited genomic clustering, whereas some differentiation was observed between the morphological measurements of males and females among host plants. Further studies using microsatellite molecular markers may help to discern population genetic structure. In addition, significant host-associated morphological divergence highlights the need to examine the mechanisms by which host utilization affects morphological features.

Estimation of Botanical Diversity by Molecular Marker Methods

Various molecular methods could be utilized in order to investigate botanical diversity. Arbitrary primed DNA, variable number of tandem repeats (VNTR), Restriction fragment length polymorphism (RFLP), polymerase chain reaction (PCR) sequencing, amplified fragment length polymorphism (AFLP), and sequence-tagged simple sequence repeats (SSRs) are all briefly reviewed. DNA-based approaches have recently been proved to be useful for crucial tasks, like specimen identification and targeted screening for expected or known invaders, according to a recent study. Prior to more ambitious applications, as extensive surveys of complex environmental samples and propagule pressure prediction, could be conducted, considerable technological obstacles should be solved. The aim of the current review was to estimate the molecular techniques used for assessing the genetic diversity of plants. The degree of variation among the plant species based on genetics is described as the genetic diversity of plants, evaluating the possible value regarding the current invasive species monitoring methods.

The role of genetic variation in Zea mays response to beneficial endophytes

Growth-promoting endophytes have great potential to boost crop production and sustainability. There is, however, a lack of research on how differences in the plant host affect an endophyte’s ability to promote growth. We set out to quantify how different maize genotypes respond to specific growth-promoting endophytes. We inoculated genetically diverse maize lines with three different known beneficial endophytes: Herbaspirillum seropedicae (a Gram-negative bacteria), Burkholderia WP9 (a Gram-negative bacteria), and Serendipita vermifera Subsp. bescii (a Basidiomycota fungi). Maize seedlings were grown for 3 weeks under controlled watering and limited nutrient conditions in the greenhouse and assessed for various growth-promotion phenotypes. We found Herbaspirillum seropedicae to increase chlorophyll content (p = 0.02), plant height (p = 0.012), root length (p = 0.057), and root volume (p = 0.044) significantly in different maize genotypes, while Burkholderia WP9 did not promote growth in maize genotypes under these conditions. Serendipita bescii significantly increased plant height (p = 0.0041), root (p = 0.0004) and shoot biomass (p = 0.0046) for different maize genotypes, and shoot mass growth promotion correlated (r = 0.58, p = 1.97e−09) with measured fungal abundance. Although plant genetic variation by itself had a strong effect on phenotype, its interaction with the different endophytes was weak, and the endophytes rarely produced consistent effects across different genotypes. This genome-by-genome interaction indicates that the relationship between a plant host and beneficial endophytes is complex, and it may partly explain why many microbe-based growth stimulants fail to translate from laboratory settings to the field. Detangling these interactions will provide a ripe area for future studies to understand how to best harness beneficial endophytes for agriculture.

SSR-Based Molecular Identification and Population Structure Analysis for Forage Pea (Pisum sativum var. arvense L.) Landraces.

Plant genetic diversity has a significant role in providing traits that can help meet future challenges, such as the need to adapt crops to changing climatic conditions or outbreaks of disease. Our aim in this study was to evaluate the diversity of 61 forage pea specimens (P. sativum ssp. arvense L.) collected from the northeastern Anatolia region of Turkey using 28 simple sequence repeat (SSR) markers. These primers generated a total of 82 polymorphic bands. The number of observed alleles (Na) per primer varied from 2 to 4 with a mean of 2.89 alleles/locus. The mean value of expected heterozygosity (Exp-Het = 0.50) was higher than the mean value of observed heterozygosity (Obs-Het = 0.22). The mean of polymorphic information content (PIC) was 0.41 with a range of 0.03–0.70. The mean number of effective alleles (Ne) was found to be 2.15, Nei’s expected heterozygosity (H) 0.49, and Shannon’s information index (I) 0.81. Cluster analysis through the unweighted pair-group mean average (UPGMA) method revealed that 61 forage pea landraces were divided into three main clusters. Genetic dissimilarity between the genotypes, calculated with the use of NTSYS-pc software, varied between 0.10 (G30 and G34) and 0.66 (G1 and G32). Principal coordinate analysis (PCoA) revealed that three principal coordinates explained 51.54% of the total variation. Moreover, population structure analysis showed that all genotypes formed three sub-populations. Expected heterozygosity values varied between 0.2669 (the first sub-population) and 0.3223 (third sub-population), with an average value of 0.2924. Average population differentiation measurement (Fst) was identified as 0.2351 for the first sub-population, 0.3838 for the second sub-population, and 0.2506 for the third sub-population. In general, current results suggest that SSR markers could be constantly used to illuminate the genetic diversity of forage pea landraces and can potentially be incorporated into future studies that examine the diversity within a larger collection of forage pea genotypes from diverse regions.

Spatially explicit management of genetic diversity using ancestry probability surfaces

Abstract Ecological restoration and conservation efforts are increasing worldwide and the management of intraspecific genetic variation in plants and animals, an important component of biodiversity, is increasingly valued. As a result, tailorable, spatially explicit approaches to map genetic variation are needed to support decision‐making and management frameworks related to the recovery of threatened and endangered species and the maintenance of genetic resources in species utilized by humans, such as for restoration or agricultural purposes. Here, we describe and demonstrate a workflow to spatially interpolate patterns of genetic differentiation using novel functions in the r package popmaps (Population Management using Ancestry Probability Surfaces). Our approach uses empirical genetic data to estimate ancestry coefficients across a user‐defined landscape correlated with patterns of differentiation in the focal species. The resulting surface, which we term the ancestry probability surface, includes two components: hard population boundaries and estimations of uncertainty that represent confidence in population assignments (i.e. ancestry probabilities). An ancestry probability surface developed for Hilaria jamesii, an important graminoid utilized in restoration across the western United States, demonstrates the functionality of popmaps. Genetic distances among empirical sites correlated better with least‐cost distances across suitable habitat than with geographical distances, informing the surface over which the interpolation was conducted (i.e. a model indicating habitat suitability). A jackknifing procedure identified parameter values resulting in robust population assignments across the species' range, which were utilized in downstream analyses to estimate ancestry coefficients from empirical data. Ancestry coefficients were translated into ancestry probabilities, which tended to be low for cells that were intermediate in distance between empirical sampling locations representing different populations or when influenced by empirical sampling locations with mixed genetic ancestry. popmaps allows users to tailor parameter values and analytical approaches and thereby incorporate species‐specific biological characteristics and desired levels of uncertainty into maps illustrating patterns of genetic differentiation. Ancestry probability surfaces may be used to guide management or investigate further ecological or evolutionary hypotheses. We discuss how maps produced by popmaps can inform multiple management challenges including species recovery planning and the utilization of commonly used species in restoration.

Plant Growth-Promoting Traits and Genetic Diversity of Free-Living Nitrogen-Fixing Bacteria Isolated from Soils in North of Iran

Plant Growth-Promoting Traits and Genetic Diversity of Free-Living Nitrogen-Fixing Bacteria Isolated from Soils in North of Iran