Different Levels Of Diversity Research Articles

Plant effects on microbiome composition are constrained by environmental conditions in a successional grassland

BackgroundBelow-ground microbes mediate key ecosystem processes and play a vital role in plant nutrition and health. Understanding the composition of the belowground microbiome is therefore important for maintaining ecosystem stability. The structure of the belowground microbiome is largely determined by individual plants, but it is not clear how far their influence extends and, conversely, what the influence of other plants growing nearby is.ResultsTo determine the extent to which a focal host plant influences its soil and root microbiome when growing in a diverse community, we sampled the belowground bacterial and fungal communities of three plant species across a primary successional grassland sequence. The magnitude of the host effect on its belowground microbiome varied among microbial groups, soil and root habitats, and successional stages characterized by different levels of diversity of plant neighbours. Soil microbial communities were most strongly structured by sampling site and showed significant spatial patterns that were partially driven by soil chemistry. The influence of focal plant on soil microbiome was low but tended to increase with succession and increasing plant diversity. In contrast, root communities, particularly bacterial, were strongly structured by the focal plant species. Importantly, we also detected a significant effect of neighbouring plant community composition on bacteria and fungi associating with roots of the focal plants. The host influence on root microbiome varied across the successional grassland sequence and was highest in the most diverse site.ConclusionsOur results show that in a species rich natural grassland, focal plant influence on the belowground microbiome depends on environmental context and is modulated by surrounding plant community. The influence of plant neighbours is particularly pronounced in root communities which may have multiple consequences for plant community productivity and stability, stressing the importance of plant diversity for ecosystem functioning.

Can seed exchange networks explain the morphological and genetic diversity in perennial crop species? The case of the tropical fruit tree Dacryodes edulis in rural and urban Cameroon

Societal Impact StatementCrop seed exchange networks, shaped by social dynamics, strongly influence the organization and breadth of plant diversity in human‐managed environments. Integrating an urban and market perspective, this study explores the diversity dynamics of a socio‐economically important Central African fruit tree species, the African plum tree. Tree owners in urban, peri‐urban and rural sites use seeds from different origins as their main propagation material, leading to locational variations in genetic diversity and structure. This analysis contributes toward building a framework to inform the research agenda of cultivated African fruit trees, by highlighting the important role of urban centers in safeguarding crop genetic resources.Summary Biocultural factors constrain the dynamics of crop species diversity. Here, we considered different aspects of the social, spatial and temporal dynamics of morphological and genetic diversity in a multi‐purpose perennial crop, the African plum tree (Dacryodes edulis). We assessed (i) how seed exchange networks were organized along urbanization gradients, and how they influenced the distribution of species diversity; (ii) the temporal dynamic of seed exchange network by characterizing species genetic diversity through time. To do so, the study was carried out in Cameroon, where we focused on three urbanization gradients, covering urban, peri‐urban and rural areas, corresponding to three different ethnic groups (Bamileke, Bassa, Beti). We combined interviews with tree owners and nuclear microsatellite‐based genetic analyses. Tree owners from urban and peri‐urban sites primarily used distant seed sources, acquired in the market or from their village of origin, as propagation material, whereas tree owners in rural sites relied primarily on village‐level seeds. In turn, genetic diversity was not evenly distributed, with rural sites exhibiting their own genetic clusters. On the contrary, the genetic diversity of urban sites was enhanced by extensive human‐mediated seed flows. Looking at trees from different age classes, we found that genetic diversity was stable over time. Overall, this first attempt to combine different levels of diversity for African plum trees in commercially connected areas expands the scope for in situ intraspecific conservation by highlighting the contribution of urbanized areas.

The Systems Measurement of Mammalian Biotas, Part Two.

For a recent publication, the authors identified a seven-region model of mammal family distribution patterns, in which each unit contributes equally to the system's overall statistical characteristics of diversity, despite its individual units having measurably different levels of diversity and endemism. This systemization presents a highly efficient descriptive model that can possibly be interpreted as a form of natural classification. An additional analysis of the same mode is described here, in which the seven-region model of the distribution of mammal families' spatial affinities is shown to closely approach a most-probable-state arrangement, as assessed through combinatorics, raising some important questions about how macroevolutionary patterns might self-organize spatially. One of the possible practical applications of the overall approach is to areal representation; statistical moments of the underlying world patterns can be used to characterize faunal statuses at any individual location by relating the latter to the former. Through this approach, classical concepts such as corridors, tracks, and transition zones might be re-examined in a manner that better lends itself to hypothesis testing. An arbitrarily chosen bounded area, the conterminous United States, is treated in this fashion by way of illustration.

The impact of management gender diversity on productivity: The contextual role of industry gender composition

Managers of different genders play an important role in the success of an organization. Little is known, however, about how management gender diversity is associated with employee productivity at different levels of diversity and the context that might influence this relationship. Integrating the knowledge-based view with role congruity theory, we propose a U-shaped relationship between management gender diversity and employee productivity. As role congruity–related gender stereotypes can be salient in male-majority industries, we advance knowledge by proposing industry gender composition as a key contingency. Building on the integration of theories, we propose that the U-shaped curvilinear relationship will be more pronounced in male-majority industries than in female-majority industries. The predictions were tested using data collected from 248 medium- to large-sized for-profit organizations in Australia via a human resource manager survey and an archival source. The regression results indicate a U-shaped curvilinear relationship across industries and provide the first evidence of a U-shaped curvilinear relationship in male-majority industries and an inverted U-shaped curvilinear relationship in female-majority industries. The findings support the integration of the knowledge-based view and role congruity theory, advance knowledge of industry gender composition dynamics, and provide leaders insights into the specific effects of various management gender compositions. JEL Classification: M12, M14

Health Status of Honeybee Colonies Differing in Genetic Intra-Colonial Diversity

Abstract Two different levels of diversity within a colony were compared for the prevalence of pathogens and diseases. Lower genetic diversity was obtained in the colonies in which the queens were inseminated with semen collected from drones originating from a single colony, while greater was obtained in the colonies with queens inseminated with semen from drones of thirty different colonies. Bees were tested for Varroa destructor infestation, microsporidia Vairimorpha spp. infection, acute bee paralysis virus (ABPV) and deformed wing virus (DWV). Colonies with a greater genetic diversity of workers in colonies were more infested with Varroa mites than genetically uniform colonies. Varroa infestation was not found to be associated directly with the weakening of bee colonies after winter. The two experimental groups had a similar number of colonies infected with Vairimorpha, and viruses. Intensity of Varroa infestation and Vairimorpha infection did not significantly affect the overwintering of bee colonies. Colonies in which DWV was detected significantly weakened during overwintering.

IDENTIFICATION OF POTENTIAL AND UTILIZATION OF NTFPs IN TAMAN HUTAN RAYA (TAHURA) SULTAN SYARIF HASYIM MINAS REGENCY RIAU PROVINCE

This study aims to determine the potential and utilization of Non-Timber Forest Products (NTFPs) in TAHURA sultan syarif hasyim, Minas District, Riau Province. The research method is a survey method, with objects of forest area and the community around the forest. The data taken is primary data, namely the type of vegetation that has the potential to produce NTFPs and respondent profile data as well as their interest and to develop NTFPs. While secondary data in the form of conditions Tahura sultan syarif hasyim, Minas District, Riau Province and other supporting data. The results of all data were analyzed descriptively qualitatively. Interviews and answers to questionnaires from communities around the forest found 21 types of NTFPs that were utilized by the community. Only 18 respondents were aware of the potential of NTFPs, out of a total of 35 respondents. 21 types of NTFPs are utilized with various functions and benefits, such as food, medicine, and industrial raw materials. It can be concluded that the potential of NTFPs in the Minas Tahura Model KPHP is 21 species with different levels of diversity and dominance as well as different benefits and utilization of NTFPs utilized by communities around Tahura, namely wood, rattan, honey, fruits and resin resin.

Phenotypic Diversity in Wild and Cultivated Date Palm (Phoenix, Arecaceae): Quantitative Analysis Using Information Theory

The quantitative study of genetic diversity requires tools to describe quantitatively and in parallel the whole phenotypic diversity in order to produce meaningful comparisons. The genus Phoenix offers examples of species with very different levels of diversity or heterogeneity. Within Phoenix, date palm (Phoenix dactylifera L.) is a major food crop of global relevance. The concept of information entropy was introduced by Claude Shannon; although initially intended to evaluate data communication systems, it has been used to measure biodiversity in terms of richness, evenness and dominance. In the present work, we will use it to describe heterogeneity within the different taxonomic units in the genus Phoenix. The description of the Phoenix morphological diversity in the present work is based on 596 accessions or populations belonging to 43 mutually exclusive taxonomic units (species, subspecies, varieties, landrace groups and hybrids). As Phoenix is a dioecious palm genus, female and male individuals are described separately. Each accession or sample is described using 116 characters totaling 449 states. The Shannon information entropy index allows the quantitative representation of the different levels of heterogeneity in the various taxonomic units of the genus Phoenix. Morphology, consistency and coloration of fruit and seed, followed by the inflorescences and female flowers, comprise the taxonomic characters that contribute the most to heterogeneity. Vegetative characters contribute less than the characters of the reproductive organs as a whole. Phoenix dactylifera and related Mediterranean and Macaronesian taxa present the maximum heterogeneity. Immediately afterwards we find P. loureiroi and, behind, the group of P. pusilla. At the lower limit of heterogeneity, we find species restricted in their distribution area: P. rupicola, P. theophrasti, P. roebelenii and P. acaulis. Phoenix dactylifera conforms to a complex of landraces and cultivars that coexist as phenotypically well-defined geographical groups with numerous intermediate forms and the long-distance translocation of otherwise local cultivars. This results in high heterogeneity. For the western and eastern groups of Phoenix dactylifera, it is extremely difficult to find a set of well-defined differential characters. However, some of the variables analyzed here allow us to propose a set of their respective syndromes. The high phenotypic heterogeneity in various Phoenix species is related to the genetic diversity, age and ancestry of different taxa, hybridization events and introgressions prior to domestication, and selective pressures after domestication and, again, interspecific crosses after domestication.

Testing a Fault Tolerant Mixed-Signal Design Under TID and Heavy Ions

This work presents results of three distinct radiation tests performed upon a fault-tolerant data acquisition system comprising a design diversity redundancy technique. The first and second experiments are Total Ionizing Dose (TID) essays, comprising gamma and X-ray irradiations. The last experiment considers single event effects, in which two heavy ion irradiation campaigns are carried out. The case study system comprises three analog-to-digital converters and two software-based voters, besides additional software and hardware resources used for controlling, monitoring and memory management. The applied Diversity Triple Modular Redundancy (DTMR) technique, comprises different levels of diversity (temporal and architectural). The circuit was designed in a programmable System-on-Chip (PSoC), fabricated in a 130nm CMOS technology process. Results show that the technique may increase the lifetime of the system under TID if comparing with a non-redundant implementation. Considering the heavy ions experiments the system was proved effective to tolerate 100% of the observed errors originated in the converters, while errors in the processing unit present a higher criticality. Critical errors occurring in one of the voters were also observed. A second heavy-ion campaign was then carried out to investigate the voters reliability, comparing the dynamic cross-section of three different software-based voter schemes implemented in the considered PSoC.

Species richness and flower color diversity determine aesthetic preferences of natural-park and urban-park visitors for plant communities

Understanding people's perceptions of biological communities has the potential to positively contribute to the rapid development and implementation of policies and institutions dedicated to the conservation of biodiversity and ecosystems. In this study, we conducted a face-to-face questionnaire survey on natural-park and urban-park visitors to reveal their aesthetic preferences of photographs of real plant communities digitally manipulated to contain different levels of diversity. The photographs were manipulated to contain different numbers of flower colors (1 or 3 colors), species richness (3 or 6 species), and the presence of shrubs (present or absent). Respondents preferred plant communities with higher flower color diversity, higher species richness, and the absence of shrubs. When we asked respondents for their aesthetic preferences of the manipulated photographs where the number of flower colors was fixed to one, photographs displaying plant communities with more species richness and the absence of shrubs were preferred. Aesthetic preferences for plant communities and their determinants did not differ between natural-park and urban-park visitors. We can thus assume that species richness and flower color diversity determine aesthetic preferences for the moorland and grassland plant communities studied.

Find Me the Right Content! Diversity-Based Sampling of Social Media Spaces for Topic-Centric Search

Social media and networking websites, such as Twitter and Facebook, generate large quantities of information and have become mechanisms for real-time content dissipation to users. An important question that arises is: how do we sample such social media information spaces in order to deliver relevant content on a topic to end users? Notice that these large-scale information spaces are inherently diverse, featuring a wide array of attributes such as location, recency, degree of diffusion effects in the network and so on. Naturally, for the end user, different levels of diversity in social media content can significantly impact the information consumption experience: low diversity can provide focused content that may be simpler to understand, while high diversity can increase breadth in the exposure to multiple opinions and perspectives. Hence to address our research question, we turn to diversity as a core concept in our proposed sampling methodology. Here we are motivated by ideas in the "compressive sensing" literature and utilize the notion of sparsity in social media information to represent such large spaces via a small number of basis components. Thereafter we use a greedy iterative clustering technique on this transformed space to construct samples matching a desired level of diversity. Based on Twitter Firehose data, we demonstrate quantitatively that our method is robust, and performs better than other baseline techniques over a variety of trending topics. In a user study, we further show that users find samples generated by our method to be more interesting and subjectively engaging compared to techniques inspired by state-of-the-art systems, with improvements in the range of 15--45%.

Global change shifts trade‐offs among ecosystem functions in woodlands restored for multifunctionality

Abstract Ecological restoration increasingly aims at improving ecosystem multifunctionality and making landscapes resilient to future threats, especially in biodiversity hotspots such as Mediterranean‐type ecosystems. Plants and their traits play a major role in the functioning of an ecosystem. Therefore, successful restoration towards long‐term multifunctionality requires a fundamental mechanistic understanding of this link under changing climate. An integrated approach of empirical research and simulation modelling with a focus on plant traits can allow this understanding. Based on empirical data from a large‐scale restoration project in a Mediterranean‐type ecosystem in Western Australia, we developed and validated the spatially explicit simulation model Modelling Ecosystem Functions and Services based on Traits (ModEST), which calculates coupled dynamics of nutrients, water and individual plants characterised by functional traits. We then simulated all possible combinations of eight plant species with different levels of diversity to assess the role of plant diversity and traits on multifunctionality, the provision of six ecosystem functions that can be linked to ecosystem services, as well as trade‐offs and synergies among the functions under current and future climatic conditions. Our results show that multifunctionality cannot fully be achieved because of trade‐offs among functions that are attributable to sets of traits that affect functions differently. Our measure of multifunctionality was increased by higher levels of planted species richness under current, but not future climatic conditions. In contrast, single functions were differently impacted by increased plant diversity and thus the choice and weighting of these functions affected multifunctionality. In addition, we found that trade‐offs and synergies among functions shifted with climate change due to different direct and indirect (mediated via community trait changes) effects of climate change on functions. Synthesis and application. With our simulation model Modelling Ecosystem Functions and Services based on Traits (ModEST), we show that restoration towards multifunctionality might be challenging not only under current conditions but also in the long‐term. However, once ModEST is parameterised and validated for a specific restoration site, managers can assess which target goals can be achieved given the set of available plant species and site‐specific conditions. It can also highlight which species combinations can best achieve long‐term improved multifunctionality due to their trait diversity.

LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods

In plants, secondary metabolite profiles provide a unique opportunity to explore seasonal variation and responses to the environment. These include both abiotic and biotic factors. In field experiments, such stress factors occur in combination. This variation alters the plant metabolic profiles in yet uninvestigated ways. This data set contains trait and mass spectrometry data of thirteen grassland species collected at four time points in the growing season in 2017. We collected above-ground vegetative material of seven grass and six herb species that were grown in plant communities with different levels of diversity in the Jena Experiment. For each sample, we recorded visible traits and acquired shoot metabolic profiles on a UPLC-ESI-Qq-TOF-MS. We performed the raw data pre-processing in Galaxy-W4M and prepared the data for statistical analysis in R by applying missing data imputation, batch correction, and validity checks on the features. This comprehensive data set provides the opportunity to investigate environmental dynamics across diverse neighbourhoods that are reflected in the metabolomic profile.

Distance distributions of human settlements

• City distance distributions are mostly unequal and diverse. • Big-club distance property is present in most of the countries. • Different levels of size-correlation characterize distribution of cities. City-size distributions have been studied from different perspectives in past decades. However, spatial properties of city distributions have not been widely explored. Here, we study distance distribution between pairs of cities by considering their sizes for data from ten countries. We find that distance distributions present different shapes, from quasi-symmetrical to right-skewed, which exhibit changes as the lower threshold of the city size is increased. The Gini index G and the normalized Shannon entropy E S were calculated to evaluate the inequality and heterogeneity (diversity) in the distance distributions. Our results show that quasi-symmetrical distributions are characterized by a low inequality and intermediate value of entropy, while right-skewed distributions lead to higher inequality indexes with different levels of diversity. We introduce the big-club (set of the largest cities) coefficient to evaluate the tendency of big settlements to be located close to (or far away from) each other, finding that most of the countries have a high big-club value. Finally, we consider a simple model based on node sizes to generate three configurations with different spatial correlations (random, correlated and anti-correlated), which roughly reproduce similar values of G and E S to those found in actual distance distributions.

Beta diversity as an indicator of priority areas for Myrtaceae assemblage conservation in Subtropical Araucaria Forest

We can say that studies on diversity provide knowledgeable insights into which areas with different compositions will be initially preserved or those which require more attention for government supervision. Thus, we aim to evaluate the alpha, beta and gamma diversity of the Myrtaceae assemblages as a tool for indicating priority conservation areas. Herein we explore the different levels of diversity resulting from fragments distributed along an altitudinal gradient in the Subtropical Araucaria Forest in the Santa Catarina Plateau of the Brazilian Atlantic Forest. In sequence, the Jaccard index and ordination by Detrended Correspondence Analysis were used for the β-diversity analysis and floristic substitution. Finally, the spatial dependence was analyzed by the Mantel Test based on floristic and geographical distances. Our results show that Myrtaceae assemblages along the altitude gradient are characterized by heterogeneous floristic compositions (β-diversity 0.55–0.95 variation), in which fragments above 1300 m are physiognomically marked by a predominance of the Myrceugenia and Myrcia genera. Higher altitudinal amplitude was characterized as an indicator for selecting complementary fragments due to dependence on β-diversity (r = 0.6961; p-value = 0.001), aiming at greater conservation effectiveness. In this sense, the LGS and URI complementary fragments are strategic because they comprise high beta diversity, high richness, the presence of exclusive and endemic species, and are located in different river basins. Our results show beta diversity as an effective tool for indicating priority areas for the conservation of Myrtaceae assemblages in AF, however it is essential to consider the exclusive and endemic species together.

Geografía de la intensidad del conocimiento y desigualdad social en los municipios hidalguenses

El objetivo de este trabajo es calcular el Índice de Intensidad de Conocimiento (IC) de los municipios hidalguenses con base en la estructura productiva de los sectores económicos. Para tal propósito, se desarrolló un análisis bajo el método de reflexiones y se recopiló la información de fuentes públicas. Los resultados muestran que el estado de Hidalgo cuenta con diferentes niveles de diversidad y ubicuidad, por lo que se recomienda considerar la geografía de la intensidad de conocimiento en relación con la desigualdad social de los municipios para la formulación de políticas diferenciadas acordes a los distintos contextos locales.

Reducing Soft Error Rate of SoCs Analog-to-Digital Interfaces With Design Diversity Redundancy

In this article, a commercial programmable system-on-chip (PSoC 5, from Cypress Semiconductor) is tested under heavy-ion irradiation with a focus on the analog-to-digital interface blocks of the system. For this purpose, a data acquisition system (DAS) was programmed into the device under test and protected with a design diversity redundancy technique. This technique implements different levels of diversity (architectural and temporal) by using two different architectures of converters (a ΣA converter and two successive approximation register (SAR) converters) operating with distinct sampling rates. The experiment was performed in a vacuum chamber, using a <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">16</sup> O ion beam with 36-MeV energy and sufficient penetration into the silicon to produce an effective linear energy transfer (LET) of 5.5 MeV/mg/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> at the active region. The average flux was approximately 350 particles/s/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for 246 min. The individual susceptibility of each converter to single-event effects is evaluated, as well as the whole system cross section. Results show that the proposed technique is effective to mitigate errors originating at the converters since 100% of such errors were corrected by using the diversity redundancy technique. Results also show that the processing unit of the system is susceptible to hangs that can be mitigated using watchdog techniques.

Recommending the long tail items through personalized diversification

Recommender systems which focus only on the improvement of recommendations’ accuracy are named “accuracy-centric”. These systems encounter some problems the major of which is their failure in recommending long tail items. Long tail items are the ones rated by a few users, thus, their rare participation in recommendations. To overcome this problem, it is necessary to provide recommendations by considering other aspects in addition to accuracy. One of these aspects is diversity in recommendations. As to different users who may prefer different levels of diversity in recommendations, here diversification of recommendations in a personalized manner is suggested in order to increase the participation of long tail items. The recommendation list is optimized based on three objectives of increasing the accuracy, personalizing the diversity, and reducing the popularity of the recommended items to meet the purpose. The defined multi-objective optimization problem is solved through the archived multi-objective simulated annealing algorithm. The evaluation of this proposed method on the Netflix datasets reveals that this method overcomes the long tail recommendation problem and diversifies the recommendations according to user needs while maintaining an acceptable level of accuracy.

TID Effects on a Data Acquisition System With Design Diversity Redundancy

This paper describes the results of a total ionizing dose test on a data acquisition system (DAS) protected with a design diversity redundancy technique. The DAS is composed of three analog-to-digital converters (ADCs) and two voters, implementing different levels of diversity (architectural and temporal). This system is implemented on a 130-nm commercial mixed-signal (MS) programmable system-on-chip (PSoC 5) from Cypress Semiconductor. The system was tested under 60Co gamma radiation with a dose rate of 1 krad(Si)/h reaching a total dose of 242 krad(Si). One of the system copies presented a significant degradation on its linearity during the irradiation, while the others kept the functionality with less severe degradation, evidencing the advantage of using diversity to improve resilience in MS redundant systems. Additionally, dynamic parameters of the ADCs are evaluated, and failure mechanisms are discussed.

Relative influence of spatial over environmental and historical processes on the taxonomic and phylogenetic beta diversity of Neotropical phyllostomid bat assemblages

AbstractAimEnvironmental, spatial and historical dynamics are widely recognized as fundamental factors underlying community assembly along geographical gradients. We addressed the relative roles of these three processes on the taxonomic (TBD) and phylogenetic beta diversity (PBD) among 108 phyllostomid bat assemblages. Considering the bats’ dispersal abilities, niche requirements and tropical origin, we hypothesized that the current environmental parameters would explain most of the taxonomic and phylogenetic variation among these communities.LocationNeotropics.MethodsWe assessed taxonomic and phylogenetic similarities among these 108 communities using species compositional data. To disentangle the effects of different processes structuring these assemblages, we conducted variance partitioning using distance‐based redundancy analyses. We also examined the spatial structure of these communities and used null models to test whether the assemblages are phylogenetically more or less dissimilar than would be expected by chance.ResultsMost of the variation in TBD and PBD was accounted for by spatial processes. Spatial influences were consistent for beta diversity components and for groups of species with distinct geographical range sizes. We observed a strong and non‐random spatial structure underlying the taxonomic and phylogenetic community composition. A pairwise comparison revealed that most communities had random variation with respect to phylogeny.Main conclusionsSpatial processes were more effective than environmental and historical processes in explaining species and lineages composition of 108 Neotropical phyllostomid assemblages, a result that could be due to topographic complexities limiting species dispersal in this region, regardless of the bats’ dispersal capabilities. In contrast to previous studies of patterns of bat diversity at local and regional scales, our results suggest that the structure of bat assemblages is related to complementary ecological and evolutionary processes at different levels of diversity and geographical scales throughout the Neotropics.

The emerging picture of the mitochondrial protein import complexes of Amoebozoa supergroup

BackgroundThe existence of mitochondria-related organelles (MROs) is proposed for eukaryotic organisms. The Amoebozoa includes some organisms that are known to have mitosomes but also organisms that have aerobic mitochondria. However, the mitochondrial protein apparatus of this supergroup remains largely unsampled, except for the mitochondrial outer membrane import complexes studied recently. Therefore, in this study we investigated the mitochondrial inner membrane and intermembrane space complexes, using the available genome and transcriptome sequences.ResultsWhen compared with the canonical cognate complexes described for the yeast Saccharomyces cerevisiae, amoebozoans with aerobic mitochondria, display lower differences in the number of subunits predicted for these complexes than the mitochondrial outer membrane complexes, although the predicted subunits appear to display different levels of diversity in regard to phylogenetic position and isoform numbers. For the putative mitosome-bearing amoebozoans, the number of predicted subunits suggests the complex elimination distinctly more pronounced than in the case of the outer membrane ones.ConclusionThe results concern the problem of mitochondrial and mitosome protein import machinery structural variability and the reduction of their complexity within the currently defined supergroup of Amoebozoa. This results are crucial for better understanding of the Amoebozoa taxa of both biomedical and evolutionary importance.