Distribution In Different Regions Research Articles

Puumala orthohantavirus genome sequence variations in the Republic of Tatarstan, Russia

Background: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Republic of Tatarstan (RT), where Puumala orthohatavirus (PUUV) is identified as the main cause of infection. Eight genetic lineages of PUUV were shown to circulate in Eurasia; however, the diversity of PUUV variants in RT remains largely unknown. Methods & Materials: Total RNA extracted from lung tissues of bank voles captured in multiple location in RT was used for RT-PCR analysis. More than hundred PCR products containing partial S, M and L segments coding regions (566/1057, 1014 and 665 bp, respectively) were sequenced and used to determine genome variations. Results: Most of PUUV sequences revealed low divergence as compared to previously identified in Udmurtia, Bashkortostan and Samara. All these samples belong to the Russian lineage. Interestingly, in addition to the Russian lineage, three RT PUUV strains were part of the Finnish lineage, suggesting co-circulation of two PUUV lineages in some RT locations. Phylogenetic analysis revealed that RT PUUV partial S, M and L segments of RUS lineage formed six subclades, corresponding to their geographic locations in RT districts. Subclades I–IV contained strains from Pre-Kama area, subclade V strains are distributed in Trans-Kama area, while strains from subclade VI are found in Pre-Volga area. Subclades IV and V clustered together on the S and M segment trees, while subclade IV located as a separate group of the L segment. Also, subclade III clustered with subclade II for the S segment, with subclades IV–V for the M segment and with subclades I–II for the L segment. These differences in tree topologies suggest the reassortment or/and recombination origin of some PUUV strains circulating in the RT. Conclusion: Collected data improves our understanding of PUUV diversity and distribution in different regions of RT, which help better control the epidemiological situation in the region. The Russian Government Program of Competitive Growth of Kazan Federal University supported this study. Also, Albert Rizvanov was supported by state assignment 20.5175.2017/6.7 of the Ministry of Education and Science of the Russian Federation. Part of this work was conducted with the support of RFFI perspective grant 19-34-60012 given to Emmanuel Kabwe.

Tetrodotoxin and Its Analogues in Cephalothrix cf. simula (Nemertea: Palaeonemertea) from the Sea of Japan (Peter the Great Gulf): Intrabody Distribution and Secretions.

Some nemertean species from the genus Cephalothrix accumulate tetrodotoxin (TTX) in extremely high concentrations. The current study is the first to provide high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) data on tetrodotoxin and its analogues (TTXs) profile and concentration in different regions and organs of Cephalothrix cf. simula, and its secretions produced in response to stimulation. Different specimens of C. cf. simula possessed 7–11 analogues, including nine previously found in this species and two new for nemerteans—4,9-anhydro-8-epi-5,6,11-trideoxyTTX and 1-hydroxy-8-epi-5,6,11-trideoxyTTX. The study of the toxins’ distribution in different regions and organs of nemerteans revealed the same qualitative composition of TTXs throughout the body but differences in the total concentration of the toxins. The total concentration of TTXs was highest in the anterior region of the body and decreased towards the posterior; the ratio of the analogues also differed between regions. The data obtained suggest a pathway of TTXs uptake in C. cf. simula and the role of toxins in the life activity of nemerteans.

Is bodyweight affecting plantar pressure distribution in children?: An observational study.

The aim of this study is twofold: firstly, to investigate the plantar pressure distribution differences in children coming from 4 different weight categories and secondly to analyze the presence of sex-related plantar pressure distribution differences.Overall, 416 children, aged 7 to 12 years old were randomly selected from 6 different local schools, and voluntarily participated in the study. Two hundred twenty six of them were men, while 190 were women (mean age: 9.93 ± 1.02 years; height: 1.39 ± 0.8 m; body mass: 37.76 ± 10.34 kg; BMI: 19.24 ± 4.02 kg/m2). Based on the body mass index (BMI) the sample was grouped in the following categories: underweight (UW); normal weight (NW); overweight (OW), and obese (OB). Besides, the plantar load distribution parameters (total plantar load distribution and load distribution in forefoot and rearfoot) were assessed employing freeMed Maxi; Sensor Medica device. Shapiro-Wilk test was used to test the data distribution. Between-groups comparisons were conducted using Mann–Whitney U test, or using Kruskal-Wallis test associated with pairwise comparisons.There were significant differences in load distribution between weight categories, with (OW) and (NW) being significantly different with (O), P = .03 and P = .04, respectively. No significant differences were found on load distribution on the rearfoot and forefoot between categories. The sex effect, particularly among boys, revealed a different pattern of load distribution among (O) compared with other categories. This effect was not detected among women. Different profile of load distribution on the rearfoot and forefoot between boys and girls was found, with girls bearing significantly more weight in the right rearfoot compared with boys (P = .001).It can be concluded that the weight status of the children can affect the plantar load distribution, with obese category being different from (NW) and (OW). Additionally, the sex plays a role when it comes to the load distribution in different regions of the foot. Moreover, since the young age, due to growth and development process, is accompanied with anatomical foot changes which might be affected from numerous factors, assessing plantar pressure distribution in young children results to be a quite complicated matter.

Modeling seasonal trends in optimum temperatures over India

AbstractGlobal warming and changes in seasonal temperature can severely affect the general circulation and precipitation distribution of a region. Therefore, it becomes essential to analyze seasonal trends in air temperature with changing climate. The present study evaluates the troposphere temperature extremes over India during different seasons. We intend to identify significant trends in temperature distribution in different regions of India using the Mann–Kendall test. Further, we have calculated indices concerning temperature extremes to make inferences about the nature of this monotonicity at four pressure levels on a seasonal and annual basis. The temperature data being used in our analysis is obtained from the output of a Regional Climate Model version 4.6 (RegCM v4.6). The monthly temperature values are taken for 25 years (1982–2006) from the model output. We observed that the model captured temperature climatology is coherent with our theoretical analysis. Results of our study reveal a significant (p < 0.05) trend in TT during all the seasons in major parts of the country in the lower troposphere. The upper troposphere, on the other hand, does not show any significant trend during most of the seasons. The identification of these changes can be useful for analysis of coastal vulnerability and extreme weather conditions.

Study protocol for a nationwide questionnaire survey of physical activity among breast cancer survivors in Japan

IntroductionA major concern is that few cancer survivors meet the guidelines for recommended levels of physical activity. No studies have investigated physical activity among breast cancer survivors nationwide in Japan....

Phenotypic Diversity of South African Indigenous Goat Population in Selected Rural Areas

Phenotypic characterisation of indigenous goat populations is crucial in providing information on goat types and their attributes and may play an important role as guideline for conservation and sustainable us of these resources. The objective of this study was to characterise indigenous goat populations in rural areas of South Africa. Appearance of indigenous goat phenotypes and their typical features were observed from 297 individual goats. FREQ procedure of Statistical Analysis System was used to determine the descriptive statistics of the qualitative phenotypic variables. To detect the statistical differences for quantitative traits, the General Linear Model procedure of SAS was computed, whereas Fisher’s Least Significant Difference test was used to separate the least square means (P<0.05). Horns and toggles were the most dominant phenotypes found in the different regions, while the beard had low proportions across regions. Black coat colour was the dominant colour (9.68-69.57%) of most of the populations in Mopani, Vhembe, Tshwane, Westrand, Bojanala, Motheo and Thabo Mofutsanyane regions. There was a significant (P<0.05) difference in all phenotypic measurements, with higher (P<0.05) values for body length (48.23 cm), body weight (26.86 kg) and wither height (64.61 cm) observed in indigenous goats of Dr. Ruth Segomotsi Mompati (DRSM) region. Goats in Tshwane, Westrand and DRSM had significantly similar body length whilst also those in Motheo, Thabo and Vhembe had significantly similar body length. The indigenous goats of Thabo Mofutsanyana region had the highest (P<0.05) value for rump length (17.52 cm), however have the shortest tail length (7.17 cm) compared to those at other regions. Results from the study shows considerable phenotypic heterogeneity in qualitative traits of indigenous goat population and their distributions in different regions.

A distributed multiple-heat source staged heating method in an electric vehicle

A distributed multi-heat source phased control method was designed with the aim of reducing the heating energy consumption of electric vehicles. The method uses multiple-heat sources, namely battery cooling waste heat, motor cooling waste heat and heat pump air conditioning, to heat vehicles in stages. To design this method, the heat generated by an electric vehicle heating system was first numerically analysed. The distribution regions of various heat sources were then optimised and the functional relationships between the heat produced by multiple heat sources were established. The law of temperature distribution in different regions of automobiles was explored for heat produced by multiple heat sources. The method can synthesise the temperature difference outside of the car, the heat release sequence of the heating components and the comfort requirements of passengers. It can also reasonably select the working mode of warm air. A low-temperature test of warm air conditioning was carried out to compare the difference between this method and the conventional heating method of new energy vehicles. The system saved 60% energy while running at an ambient temperature of −22 °C for 2 h. No power battery energy was needed at −5 °C, verifying the superiority of the proposed method.

Dkk1 Controls Cell-Cell Interaction through Regulation of Non-nuclear β-Catenin Pools.

SummaryDickkopf-1 (Dkk1) is a secreted Wnt antagonist with a well-established role in head induction during development. Numerous studies have emerged implicating Dkk1 in various malignancies and neurodegenerative diseases through an unknown mechanism. Using zebrafish gastrulation as a model for collective cell migration, we unveil such a mechanism, identifying a role for Dkk1 in control of cell connectivity and polarity in vivo, independent of its known function. We find that Dkk1 localizes to adhesion complexes at the plasma membrane and regions of concentrated actomyosin, suggesting a direct involvement in regulation of local cell adhesion. Our results show that Dkk1 represses cell polarization and integrity of cell-cell adhesion, independently of its impact on β-catenin protein degradation. Concurrently, Dkk1 prevents nuclear localization of β-catenin by restricting its distribution to a discrete submembrane pool. We propose that redistribution of cytosolic β-catenin by Dkk1 concomitantly drives repression of cell adhesion and inhibits β-catenin-dependent transcriptional output.

Using social media to explore regional cuisine preferences in China

Purpose Food plays an important role in every culture around the world. Recently, cuisine preference analysis has become a popular research topic. However, most of these studies are conducted through questionnaires and interviews, which are highly limited by the time, cost and scope of data collection, especially when facing large-scale survey studies. Some researchers have, therefore, attempted to mine cuisine preferences based on online recipes, while this approach cannot reveal food preference from people’s perspective. Today, people are sharing what they eat on social media platforms by posting reviews about the meal, reciting the names of appetizers or entrees, and photographing as well. Such large amount of user-generated contents (UGC) has potential to indicate people’s preferences over different cuisines. Accordingly, the purpose of this paper is to explore Chinese cuisine preferences among online users of social media. Design/methodology/approach Based on both UGC and online recipes, the authors first investigated the cuisine preference distribution in different regions. Then, dish preference similarity between regions was calculated and few geographic factors were identified, which might lead to such regional similarity appeared in our study. By applying hierarchical clustering, the authors clustered regions based on dish preference and ingredient usage separately. Findings Experimental results show that, among 20 types of traditional Chinese cuisines, Sichuan cuisine is most favored across all regions in China. Geographical proximity is the more closely related to differences of regional dish preference than climate proximity. Originality/value Different from traditional definitions of regions to which cuisine belong, the authors found new association between region and cuisine based on dish preference from social media and ingredient usage of dishes. Using social media may overcome problems with using traditional questionnaires, such as high costs and long cycle for questionnaire design and answering.

Predicting radiation dosimetric distribution in different regions of the jaw in patients receiving radiotherapy for squamous cell carcinoma of the tonsil.

Radiotherapy (RT), the main treatment for patients with head and neck cancer, can lead to dental complications. We identified 244 patients with squamous cell carcinoma of the tonsil treated with RT from 2004 to 2013. For each patient, we contoured the 10 tooth-bearing regions and calculated the radiation dose (gray, Gy) to each region. From this data set, we built two predictive models to determine the expected maximum radiation dose, one for the non-molar regions and another for the molar regions. For the non-molars, the final model included location, T-classification, and overall stage, with a median absolute prediction error of 7.0 Gy. For the molars, the final model included location, T-classification, overall stage, and treatment year, with a median absolute error of 6.0 Gy. Our current model offers a good estimation of the maximum radiation dose delivered to different regions of the jaw; future work will independently validate these models.

Spatial differentiation and network externality in pricing mechanism of online car hailing platform

In order to eliminate the information asymmetry of supply and demand in transport service market, online car hailing platforms appear recent years. Almost all the transport service markets have the property of spatial differentiation, i.e, passengers' demand and vehicle supply are subject to different distributions in different regions at different time. Under the framework of two-sided market theory, this paper develops an intermediary pricing model for transport service market to evaluate the impact of spatial differentiation and network externality on online car hailing platform's pricing mechanism, based on the analysis of transport services' supply-demand matching. The analytic solution shows that the optimal price of the online car hailing platform is decided by the degree of heterogeneity in customer valuation on demand side and driver cost on supply side. Given optimal price on demand side, supply price in a region directly determines the supply of transport service in the same region, has cross effect on the supply in other region, and has indirect effect on demand price through the aggregate supply. Based on the trip record data of New York City, the simulation shows that online car hailing platform try to customize higher prices to attract more drivers and alleviate the passengers' demand pressure in morning rush hour. Furthermore, the simulation also shows that the disparity of the flow density in adjacent areas may affect the price adjustment mechanism of the online car hailing platform, and if the regional disparity further expands, the optimal choice of the platform is to increase the price of supply side, rather than the demand side.

&lt;p&gt;&lt;strong&gt;Checklist of Indian Lebiinae Bonelli, 1810 (Coleoptera: Carabidae)&lt;/strong&gt;&lt;/p&gt;

Distribution patterns and literature details of 263 Lebiinae species reported from India are provided. List includes 14 species missed out by Andrewes (1930a) and the 98 species described thereafter. Distribution patterns revealed among the 263 species, 104 species are exclusively Oriental species and 35 species are exclusively Palaearctic species. Among the 263 Indian speceis, 130 species are exclusively Indian species with reports only from the Indian subcontinent and one species with report only from Andaman &amp; Nicobar Islands. Of the 130 Indian species, 89 species are recorded from the Oriental, 27 species from the Palaearctic and 14 species recorded from both Oriental and Palaearctic regions in India. Among the 129 Indian subcontinent species, 45 species are endemics to the three global hotspots of the biodiversity in India with 31 species endemic to the Western Ghats and Sri Lanka hotspot of biodiversity; six species endemic to the Eastern Himalayas hotspot of biodiversity; eight species endemic to the Indo-Burma hotspot of biodiversity; four species recorded only from Chota Nagpur plateu and 27 species recorded only from Indian Himalayas. Four species (Microlestes parvati, Singilis indicus, S. squalidus and Lebia cardoni) recorded only from Chota Nagpur plateu and the 31 endemic species from the Western Gahts and Sri Lanka are of special interest for their Gondwana relationships. 133 species have wider geographic distribution pattern with 15 species having distribution in Oriental and Indian regions; 8 species having distribution in Palaeractic and Indian regions; 10 species having distribution in Oriental and Indo-Australian regions; 48 species with distribution in Oriental and Palaearctic regions; 29 species with distribution in Oriental, Indo-Australian and Palaearctic regions; 2 species with distribution in Oriental, Australian and Palaearctic regions; 6 species with distribution in Oriental, Palaearctic and Afrotropical regions; 9 species with distribution in Oriental, Indo-Australian, Australian and Palaearctic regions; and 6 species with random distributions in different regions. Distribution records indicate that the arrival/origin of 228 species- 137 species with wider geographic distribution outside India and the 91 species with Indian distribution and not endemics to the Western Ghats and the Chotanagpur Plateau- is likely to have occurred after the joining of Indian subcontinent with Asian continent and during the subsequent faunal exchange between the newly formed Indian subcontinent and the surrounding regions (Indo-Burma and Indo-China on the north east front; Mediterranean and Ethiopian regions on the north-western front; Central Asian elements on the northern front). These 228 species represent the younger Indian Lebiinae species compared to the 35 species representing the older/ancient species with Gondwana land origin. Key words: Carabidae, Lebiinae, Perigonini, Pentagonicini, Odacanthini, Cyclosomini, Lebiini, India

Localization of Free and Bound Metal Species through X-Ray Synchrotron Fluorescence Microscopy in the Rodent Brain and Their Relation to Behavior.

Biometals in the brain, such as zinc, copper, and iron, are often discussed in cases of neurological disorders; however, these metals also have important regulatory functions and mediate cell signaling and plasticity. With the use of synchrotron X-ray fluorescence, our lab localized total, both bound and free, levels of zinc, copper, and iron in a cross section of one hemisphere of a rat brain, which also showed differing metal distributions in different regions within the hippocampus, the site in the brain known to be crucial for certain types of memory. This review discusses the several roles of these metals in brain regions with an emphasis on hippocampal cell signaling, based on spatial mapping obtained from X-ray fluorescence microscopy. We also discuss the localization of these metals and emphasize different cell types and receptors in regions with metal accumulation, as well as the potential relationship between this physiology and behavior.

Nonparametric analysis of income distributions among different regions based on energy distance with applications to China Health and Nutrition Survey data

Income distribution is a major concern in economic theory. In regional economics, it is often of interest to compare income distributions in different regions. Traditional methods often compare the income inequality of different regions by assuming parametric forms of the income distributions, or using summary statistics like the Gini coefficient. In this paper, we propose a nonparametric procedure to test for heterogeneity in income distributions among different regions, and a K-means clustering procedure for clustering income distributions based on energy distance. In simulation studies, it is shown that the energy distance based method has competitive results with other common methods in hypothesis testing, and the energy distance based clustering method performs well in the clustering problem. The proposed approaches are applied in analyzing data from China Health and Nutrition Survey 2011. The results indicate that there are significant differences among income distributions of the 12 provinces in the dataset. After applying a 4-means clustering algorithm, we obtained the clustering results of the income distributions in the 12 provinces.

Numerical Studies of Nanoparticle Transport and Deposition in Terminal Alveolar Models with Varying Complexities

Background: The integration of inhalation drug delivery and nanotechnology offers exciting potentials to enhance the targeting, release, diagnostic, and therapeutic outcomes of drugs. Human lungs provide many advantages over other routers such as noninvasive delivery, a large surface area for absorption, avoiding the first-pass metabolism, and quick therapeutic onset. It is crucial to understand nanoparticle dosimetry in the acinar region to reliably evaluate the therapeutic outcomes of nanomedicines. However, an acinus unit comprises up to 10,000 alveoli and to model a complete acinus is still a prohibitive task. Besides, the presence of inter-alveolar septa creates a labyrinth pathway for inhaled airflow and particles. Methods: The objective of this study is to numerically investigate nanoparticle deposition in three alveolar models with varying physical complexities, which retain 1, 4, and 45 alveoli, respectively. A discrete-phase Lagrangian model was implemented to track nanoparticle trajectories under the influence of rhythmic wall expansion and contraction. Both temporal and spatial dosimetry in the alveoli were computed. Results: Strikingly different behaviors were observed in the dynamic alveolar model between micron particles and nanoparticles. Minimal deposition rates were predicted for 500–600 nm particles for all the three models considered. Consistently lower deposition rates were found in the 45-alveoli model than the other two simplified models for all particles ranging from 1 nm to 1000 nm. Considering the gravitational orientation effect, nanoparticles smaller than 200 nm appears insensitive to the alveolar orientation and only becomes perceivable around 500 nm. For nanoparticles larger than 500 nm, lower doses were predicted in the horizontal alveoli than in the vertical alveoli, regardless of the model complexity. Conclusions: The magnitude of the airflow velocity (depending on ventilated volume) is an essential factor in determining the deposition of inhaled nanoparticles. Future correlation development for acinar deposition should consider the velocity distribution in different regions of the acinus.

Doppler Beam Sharpening Using Estimated Doppler Centroid Based on Edge Detection and Fitting

Doppler beam sharpening (DBS) technology is widely used in applications, such as helicopter rescue and early warning surveillance. To obtain the desired DBS images with high quality, accurate Doppler centroid estimation (DoCE) is necessary. Conventional methods for Doppler centroid estimation based on navigational devices are sensitive to the errors of the measured motion parameters. Hence, several alternative data-depended approaches have been developed to reduce the error. In this paper, a novel data-depended Doppler centroid estimation method is proposed to improve the image quality of DBS. We begin the method by analyzing the characteristics of range-Doppler distribution in different regions of interests. Then, the edge feature of range-Doppler distribution in forward-looking direction is extracted using morphological filtering and edge detection methods. We will show that the edge feature defines the required Doppler centroid parameters, which can be utilized to estimate the Doppler centroids of the full scene. At last, the estimation error is reduced through fitting the edge with the minimum mean square error (MMSE) algorithm. As compared with conventional Doppler centroid estimation methods, the proposed method can significantly provide reliable estimation accuracy under low echo signal to noise ratio, independent of conditions that strictly required by conventional methods. Simulations and experiments verify the proposed method.

Prediction of Measles Epidemic Trend in China

Measles is an acute respiratory disease with high mortality and strong infectivity. Based on the national measles report from 1950 to 2014, this paper established a measles incidence prediction model to provide reference for measles prevention and control decision-making. We selected the incidence data from 1996 to 2014 as the training sample, while data of 2015 as the test sample. A forecasting model of annual measles incidence in China was established by time series analysis, and the incidence of measles in 2016-2018 in China was forecasted. Finally, the changes of measles incidence over time and its distribution in different regions were discussed. It was found that the incidence of measles was higher in western Region before 2004, while the incidence of measles in eastern and northeastern regions was lower, but the measles epidemic in eastern region began to recover in 2005, and the reasons of regional difference were excavated. The result showed that the ARIMA (1,2,1) model was feasible and effective in predicting the incidence rate of measles.

An Observationally Based Evaluation of Subgrid Scale Ice Thickness Distributions Simulated in a Large‐Scale Sea Ice‐Ocean Model of the Arctic Ocean

AbstractA key parameterization in sea ice models describes the subgrid scale ice thickness distribution. Based on only a few observations, the ice thickness distribution model was shown to be consistent with field data and to improve the simulation's large‐scale properties. The available submarine and airborne observations enable to evaluate in greater detail the ability of a pan‐Arctic sea ice‐ocean model with an ice thickness distribution parameterization to reproduce observed thickness distributions in different regions and seasons. Many observations are reproduced accurately. Some cases of poorly simulated modes and tails of the distributions are tentatively attributed to simplified thermodynamics and inaccurate deformation fields. Variability on decadal timescales, however, is generally underestimated. Thickness distributions in individual grid cells of the model show similar differences between regions and seasons as observed regional mean distributions, but the modeled grid‐scale variability is lower than observed. Simulated modal thicknesses of first‐year ice are only insufficiently different from those of multiyear ice. The modal thickness proves to be a useful metric for quantifying model biases in both dynamics and thermodynamics. In addition to improving basin‐wide mean variables, the ice thickness distribution parameterization provides reliable and valuable additional subgrid scale data. At the same time the low climate sensitivity of the parameterization may affect longer simulations with strong climate change aspects.

A new fracture model for reservoir ice layers in the northeast cold region of China

The cracking and fracture behaviour of ice material in cold regions significantly affects the mechanical properties of concrete material and structures due to ice pressure or the ultimate load carrying capacity. The mechanical performance of ice material depends on the characteristics of ice crystals, ice depth, temperature and geographical distribution in different regions. The main objective of this paper was to propose an innovative model for describing the fracture toughness of ice material subjected to different geographical distributions, depths and temperatures based on the energy balance theory, the generalized self-consistent method and Gurson’s damage model, and the model results were then compared with experimental results and those of Ji. In addition, according to statistical theory, an equation for calculating the variance of the fracture behaviour of ice material was established based on the fracture flexibility results for determining the mechanical properties of the ice material.

Distribution patterns and variation analysis of simple sequence repeats in different genomic regions of bovid genomes

As the first examination of distribution, guanine-cytosine (GC) pattern, and variation analysis of microsatellites (SSRs) in different genomic regions of six bovid species, SSRs displayed nonrandomly distribution in different regions. SSR abundances are much higher in the introns, transposable elements (TEs), and intergenic regions compared to the 3′-untranslated regions (3′UTRs), 5′UTRs and coding regions. Trinucleotide perfect SSRs (P-SSRs) were the most frequent in the coding regions, whereas, mononucleotide P-SSRs were the most in the introns, 3′UTRs, TEs, and intergenic regions. Trifold P-SSRs had more GC-contents in the 5′UTRs and coding regions than that in the introns, 3′UTRs, TEs, and intergenic regions, whereas mononucleotide P-SSRs had the least GC-contents in all genomic regions. The repeat copy numbers (RCN) of the same mono- to hexanucleotide P-SSRs showed significantly different distributions in different regions (P < 0.01). Except for the coding regions, mononucleotide P-SSRs had the most RCNs, followed by the pattern: di- > tri- > tetra- > penta- > hexanucleotide P-SSRs in the same regions. The analysis of coefficient of variability (CV) of SSRs showed that the CV variations of RCN of the same mono- to hexanucleotide SSRs were relative higher in the intronic and intergenic regions, followed by the CV variation of RCN in the TEs, and the relative lower was in the 5′UTRs, 3′UTRs, and coding regions. Wide SSR analysis of different genomic regions has helped to reveal biological significances of their distributions.