Aggregate Base Research Articles

Stick-slip unfolding favors self-association of expanded HTT mRNA

In Huntington’s Disease (HD) and related disorders, expansion of CAG trinucleotide repeats produces a toxic gain of function in affected neurons. Expanded huntingtin (expHTT) mRNA forms aggregates that sequester essential RNA binding proteins, dysregulating mRNA processing and translation. The physical basis of RNA aggregation has been difficult to disentangle owing to the heterogeneous structure of the CAG repeats. Here, we probe the folding and unfolding pathways of expHTT mRNA using single-molecule force spectroscopy. Whereas normal HTT mRNAs unfold reversibly and cooperatively, expHTT mRNAs with 20 or 40 CAG repeats slip and unravel non-cooperatively at low tension. Slippage of CAG base pairs is punctuated by concerted rearrangement of adjacent CCG trinucleotides, trapping partially folded structures that readily base pair with another RNA strand. We suggest that the conformational entropy of the CAG repeats, combined with stable CCG base pairs, creates a stick-slip behavior that explains the aggregation propensity of expHTT mRNA.

Performance assessment of geopolymer stabilized aggregate pavement bases with incorporation of biomedical waste incinerated ash

Performance assessment of geopolymer stabilized aggregate pavement bases with incorporation of biomedical waste incinerated ash

Stick-slip unfolding favors self-association of expanded HTT mRNA.

In Huntington's Disease (HD) and related disorders, expansion of CAG trinucleotide repeats produces a toxic gain of function in affected neurons. Expanded huntingtin (expHTT) mRNA forms aggregates that sequester essential RNA binding proteins, dysregulating mRNA processing and translation. The physical basis of RNA aggregation has been difficult to disentangle owing to the heterogeneous structure of the CAG repeats. Here, we probe the folding and unfolding pathways of expHTT mRNA using single-molecule force spectroscopy. Whereas normal HTT mRNAs unfold reversibly and cooperatively, expHTT mRNAs with 20 or 40 CAG repeats slip and unravel non-cooperatively at low tension. Slippage of CAG base pairs is punctuated by concerted rearrangement of adjacent CCG trinucleotides, trapping partially folded structures that readily base pair with another RNA strand. We suggest that the conformational entropy of the CAG repeats, combined with stable CCG base pairs, creates a stick-slip behavior that explains the aggregation propensity of expHTT mRNA.

Advanced computational approaches to understand protein aggregation.

Protein aggregation is a widespread phenomenon implicated in debilitating diseases like Alzheimer's, Parkinson's, and cataracts, presenting complex hurdles for the field of molecular biology. In this review, we explore the evolving realm of computational methods and bioinformatics tools that have revolutionized our comprehension of protein aggregation. Beginning with a discussion of the multifaceted challenges associated with understanding this process and emphasizing the critical need for precise predictive tools, we highlight how computational techniques have become indispensable for understanding protein aggregation. We focus on molecular simulations, notably molecular dynamics (MD) simulations, spanning from atomistic to coarse-grained levels, which have emerged as pivotal tools in unraveling the complex dynamics governing protein aggregation in diseases such as cataracts, Alzheimer's, and Parkinson's. MD simulations provide microscopic insights into protein interactions and the subtleties of aggregation pathways, with advanced techniques like replica exchange molecular dynamics, Metadynamics (MetaD), and umbrella sampling enhancing our understanding by probing intricate energy landscapes and transition states. We delve into specific applications of MD simulations, elucidating the chaperone mechanism underlying cataract formation using Markov state modeling and the intricate pathways and interactions driving the toxic aggregate formation in Alzheimer's and Parkinson's disease. Transitioning we highlight how computational techniques, including bioinformatics, sequence analysis, structural data, machine learning algorithms, and artificial intelligence have become indispensable for predicting protein aggregation propensity and locating aggregation-prone regions within protein sequences. Throughout our exploration, we underscore the symbiotic relationship between computational approaches and empirical data, which has paved the way for potential therapeutic strategies against protein aggregation-related diseases. In conclusion, this review offers a comprehensive overview of advanced computational methodologies and bioinformatics tools that have catalyzed breakthroughs in unraveling the molecular basis of protein aggregation, with significant implications for clinical interventions, standing at the intersection of computational biology and experimental research.

Advanced computational approaches shed light on protein aggregation and disease mechanisms

Examining the molecular basis for protein aggregation

Investigation of the Solid-State Interactions in Lyophilized Human G-CSF Using Hydrogen-Deuterium Exchange Mass Spectrometry.

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) previously elucidated the interactions between excipients and proteins for liquid granulocyte colony stimulating factor (G-CSF) formulations, confirming predictions made using computational structure docking. More recently, solid-state HDX mass spectrometry (ssHDX-MS) was developed for proteins in the lyophilized state. Deuterium uptake in ssHDX-MS has been shown for various proteins, including monoclonal antibodies, to be highly correlated with storage stability, as measured by protein aggregation and chemical degradation. As G-CSF is known to lose activity through aggregation upon lyophilization, we applied the ssHDX-MS method with peptide mapping to four different lyophilized formulations of G-CSF to compare the impact of three excipients on local structure and exchange dynamics. HDX at 22 °C was confirmed to correlate well with the monomer content remaining after lyophilization and storage at -20 °C, with sucrose providing the greatest protection, and then phenylalanine, mannitol, and no excipient leading to progressively less protection. Storage at 45 °C led to little difference in final monomer content among the formulations, and so there was no discernible relationship with total deuterium uptake on ssHDX. Incubation at 45 °C may have led to a structural conformation and/or aggregation mechanism no longer probed by HDX at 22 °C. Such a conformational change was observed previously at 37 °C for liquid-formulated G-CSF using NMR. Peptide mapping revealed that tolerance to lyophilization and -20 °C storage was linked to increased stability in the small helix, loop AB, helix C, and loop CD. LC-MS HDX and NMR had previously linked loop AB and loop CD to the formation of a native-like state (N*) prior to aggregation in liquid formulations, suggesting a similar structural basis for G-CSF aggregation in the liquid and solid states.

Comparative Transcriptomics Analysis Reveals Rusty Grain Beetle's Aggregation Pheromone Biosynthesis Mechanism in Response to Starvation.

Pheromones are the basis of insect aggregation, mating, and other behaviors. Cucujoid grain beetles produce macrocyclic lactones as aggregation pheromones, yet research on their biosynthesis at the molecular level remains limited. The rusty grain beetle, C. ferrugineus, is an important economic species in China. Although two aggregation pheromone components have been identified, their suspected biosynthesis via the MVA pathway and the FAS pathway lacks molecular elucidation. Previous evidence supports that starvation affects the production of aggregation pheromones. Therefore, we constructed comparative transcriptome libraries of pheromone production sites in C. ferrugineus under starvation stress and identified genes related to pheromone biosynthesis and hormone regulation. A total of 2665 genes were significantly differentially expressed, of which 2029 genes were down-regulated in starved beetles. Putative C. ferrugineus genes directly involved in pheromone biosynthesis were identified, as well as some genes related to the juvenile hormone (JH) pathway and the insulin pathway, both of which were depressed in the starved beetles, suggesting possible functions in pheromone biosynthesis and regulation. The identification of genes involved in macrolide lactone biosynthesis in vivo holds great significance, aiding in the elucidation of the synthesis and regulatory mechanisms of cucujoid grain beetle pheromones.

Lessons to be popular: the chemical basis of aggregation in Trypanosoma cruzi-infected and non-infected Chagasic bugs.

Aggregation is one of the most remarkable behaviours in the animal kingdom-a process that is usually governed by pheromones. Triatomines are blood-sucking bugs that act as vectors of Trypanosoma cruzi, the etiological agent of Chagas disease in mammals, including humans. Triatomines usually gather in roosting refuges by using aggregation pheromones of unknown chemical structure. In terms of vector control, one option to reduce triatomine-human contact is via capturing the insects into traps baited with lures based on such aggregation pheromones. As a first step towards this aim, we elucidated the aggregation pheromone in the triatomine Triatoma pallidipennis, using T. cruzi-infected and non-infected bugs. We used different extraction techniques and gas chromatography coupled to mass spectrometry for the identification. Also, two different bioassays were implemented for evaluating the attractant and arrestant activity of the pheromone. We found that T. pallidipennis produced short-chain aldehydes as attractants, and nitrogen-derived compounds as arrestants. We detected differences in the production and perception of these compounds according to whether animals were infected or not. These findings show that T. cruzi may influence triatomine chemical ecology and are promising tools for triatomine control.

Economic spillovers from cloud computing: evidence from OECD countries

ABSTRACT The objective of this paper is to estimate the impact of cloud computing on economic performance. The analysis relies on a multi-equation model in which cloud computing is complementary with broadband to maximize the economic contribution of digital technologies. The proposed model is estimated for a sample of OECD countries, depicting cloud penetration at the sector level. Our results suggest positive effects from cloud adoption on economic outcomes. However, the impact of cloud computing depends on broadband penetration and cloud adoption, which, as expected, vary by country and industry. The sector benefitting from the largest economic impact is information and communications, followed by manufacturing, while in contrast, no impact was detected for the transportation sector. This is one of the first empirical analysis estimating cloud economic spillovers on an aggregated basis, from which important public policy implications can be derived to stimulate the development and adoption of this technology.

Multidimensional Comparative Analysis of the Development of Agriculture in the Regions of the Northwestern Federal District

The development of the agrarian sector in the conditions of the Northern Nonchernozem belt of Russia (the Nonblack Soil Zone) provides for food security at the level of the regions. Diagnostics of agriculture at a regional level taking into account an investment component allows identifying the vectors of its development with the consideration of the complex of the factors.The purpose of the research – the working-out and practical approval of the methodology of a multidimensional comparative analysis of the development of agriculture through the example of the territorial subjects of the Northwestern Federal district.Materials and methods. The research is based on the study of earlier published academic papers of the scientists in the area of the appliance of the statistical methods by the evaluation of the dynamics of the development of the regions and diagnostics of the condition of the agrarian sector. The use of regulatory legal acts of the industry development and data provided by Rosstat (Federal State Statistics Service) insured the objectivity of the conducted calculations. The use of the classical statistical methods, including the multidimensional comparative analysis, provided for the systematic approach to the evaluation of the development of agriculture at the regional level.Results. The developed methodology of a complex comparative evaluation of the regions proposes the multidimensional comparison of indexes characterizing each object submitted in a form of the system of indexes divided into problem sections. As the result of algorithm realization and a calculation ordering specified by the methodology for each region, an integrated index of the complex comparative evaluation of the development of the sector of agriculture was received in comparison with the other regions of the Northwestern Federal District. The received comparative evaluation on problem sections and subsections of indexes and integrated across their whole system serves as a basis for forming-up of ratings of the compared regions for defining their weak and strong points in the development of the studied sector. The methods of the analysis includes norm setting of each index on an aggregate basis of the compared regions, calculation of specific comparative evaluations for each one in a matrix form, creating a midline evaluation table, based on the calculation of the sum of their values throughout the system of analyzed indexes of the condition and development of agriculture for each region. The generalization of the evaluation result is realized by the summation of earlier calculated indexes. An integral estimation of the regions is based on bringing the obtained generalized comparative evaluations to a non-negative form and the percentage expression of their values. The analysis of the specific comparative evaluations of each problem section allows determining the impact of the factor corresponding to this section in creation of the value of an integrated evaluation, therefore estimating the problematic sides of the development of the agricultural sector in comparative evaluation with the situation existing in other regions.Conclusion. The diagnostics of the development of agriculture based on the suggested methodology allows defining the key factors of the implementation of the development strategy of the sector for making reasonable managerial decisions.

Poverty Alleviation Pattern: Top Down or Bottom Up Approach? (Indonesia and Malaysia Benchmarking)

Based on the previous research by Aspiranti et al. (2021), it was found that Indonesia and Malaysia still have impoverished communities that urgently need to improve their welfare. In the poorest areas of Malaysia, the majority of households from each ethnic group (on average, 55%) are vulnerable to poverty, while the core poor group comprises the lowest share (on average, 4%). Among household heads at different education levels, the core poor group represents the lowest share (average 4.5%), while the largest share (average 48%) is vulnerable to poverty. In Indonesia, the percentage of poor people in the poorest areas reached 9.27% in 2018, which is already below the national poverty rate of 9.82%. However, during the period of 2014-2018, the poverty line in Indonesia’s poorest areas continued to increase each year, with a 20.46% increase compared to 2014. The Indonesia Poverty Depth Index (P1) decreased from 1.72 to 1.49, indicating that the average expenditure of the poor is getting closer to the poverty line. Empirical findings from a study conducted in 2021 demonstrate that Indonesia’s poverty rate has shown improvement compared to 20 years ago. However, extreme poverty levels still persist, with income levels below $1.9 per day. In Malaysia, there are no longer people categorized as extremely poor. Based on secondary data published by the ASEAN Secretary Data, Malaysia’s high economic growth is accompanied by high per capita income, reaching $9,000 per year. As a result, Malaysians have a longer life expectancy of 78 years compared to Indonesians (68 years). However, despite Malaysia’s success in bringing prosperity to the population on an aggregate basis, there are still pockets of ethnic Malays experiencing poverty. The Malaysian government has made various efforts to alleviate poverty in these regions, but the poverty rate remains. Both Indonesia and Malaysia continue to implement poverty alleviation measures through top-down and bottom-up approaches. The study aims to benchmark the poverty alleviation models of both countries by conducting surveys in poverty-stricken areas of Indonesia (focused on Garut Regency) and Malaysia (focused on Kelantan). The research findings indicate that Malaysia’s poverty alleviation efforts are more top-down, initiated by the government through macroeconomic instruments. In West Java, the Provincial Government adopts a top-down approach by coordinating with various stakeholders to ensure program and activity synergy. Efforts to accelerate poverty reduction in West Java include the establishment of social protection, public health services, and direct financial support for families, encompassing both non-agricultural and agricultural sectors, to enhance community welfare.
 Keywords: benchmarking, poverty alleviation

PUBLIC OPINION AND POLITICAL CONSEQUENCES OF DIGITALIZATION: SPECIFICS AND VECTORS OF INTERACTION

The article is devoted to the study of the digital public self-presentation of minority groups and individuals in the Internet environment, which questions the ability of the public to function as a balanced community. The purpose of the study is to establish the challenges of digitalization for the structure of modern public opinion. The political dimension of digitization processes is characterized, which requires careful analysis, since the state of public opinion can no longer be fully diagnosed by traditional means of sociological research. It was emphasized that in the conditions of the Russian-Ukrainian war, knowledge about the structure of public opinion can significantly influence the formation of effective strategies for countering enemy manipulations and building campaigns to promote pro-Ukrainian positions. The ability of public opinion to respond to public information is analyzed. The importance of structuring public opinion is revealed not only on the basis of ideological preferences and aggregation of interests, but also on the basis of "secondary" factors, in particular, subjective sympathies. It was found that due to the multifaceted nature of means of disseminating political information, there is a combination of traditional and digital media. It was found that digitalization contributes to the transparency and completeness of the display of information about the activities of the authorities in a democratic society. It has been proven that even in the conditions of a stable democracy there is a practice of a purposeful change in the political positions of citizens in favor of a certain engaged message or thesis. It has been established that in the conditions of modern Ukraine, the resource availability of virtual political subjects makes manipulative practices successful and very common. It is assumed that the consequences of political digitization pose a significant threat to the fundamental values of democratic representation, rights to exercise freedom of speech, etc. It was found that the free press is an object of manipulation by political institutions and actors. It is established that the formation of integrated public opinion, which is aggregated as a set of different positions and expressions, is problematic. The issue of objects of manipulation, which are not only components of society, but also of decentralized state power, is considered. The specificity of strategic thinking in the digital environment is indicated, which involves the emergence of manipulative events and pseudo-events, as well as agenda management. It was concluded that traditional institutions and actors are gradually being eliminated from the political and communication arena. It is substantiated that the media policy of modern states and political actors is characterized by the use of targeted Internet advertising technologies, which makes it possible to attract the audience to the consideration of certain events that seem to have broad social significance.

Morphology, microstructure evolution and properties of resin-bonded palm kernel and coconut shell grain-based abrasive grinding

This study examined the morphology and microstructural evolution of resin-bonded palm kernel and coconut shell grain-based abrasive grinding wheels and their physico-mechanical and tribological properties. Raw palm kernel shell (PKS) and coconut shell (CNS) samples were obtained, sorted, sun- and oven-dried, pulverised, and screened into fines of 250, 500 and 850 μm grain sizes, and blended at PKS to CNS mixing ratios of 1:0, 0:1, 1:2, 1:1 and 2:1, respectively. The blended grains, on a weight basis of the total aggregates, were bonded with 25 wt.% polyester resin and hardened and catalysed with 1.5 wt.% cobalt compound and methyl-ethyl ketone peroxide. The aggregates were moulded and compressed at a constant pressure of 18 MPa, ejected, and room-cured before being oven-cured to produce the wheels. The microstructural, water absorption, impact, flexural, hardness, and wear rate properties of the produced samples were evaluated. The properties studied were significantly influenced by grain sizes and mixing ratios of the PKS and CNS in the wheels. The least hardness value, 6.42 HRB, and wear rate, 0.44 mg/m were found in wheels produced from aggregates with pure PKS content with 850 and 250 μm grain sizes, respectively. The wheels' durability qualities suggest they could be used as abrasive grinding wheels, in particular, for wood cutting and finishing processes.

Investigating the Impact of Inflation and Other Macroeconomic Variables on Stock Returns in Nigeria

This study investigates the impact of inflation and other macroeconomic variables on the stock returns of listed firms across five sectors: In Nigeria. A GARCH model and multivariate panel analysis were used in this study. The results show that inflation negatively and significantly impacts stock returns in the short and long run on an aggregate and sectoral basis. Moreover, money supply has a negative impact on stock returns in the long run and a positive impact in the short run, while the exchange rate has a positive impact. In contrast, interest rate is inversely related to stock returns in the short-run. Therefore, the Nigerian Monetary Authority should introduce a contractionary monetary policy and a stable exchange rate regime in order to achieve moderate inflation commensurate with economic growth and development.

The effect of flakiness and elongation index on the compressive and splitting tensile strength of cement treated aggregate crushed stone

The reality of road construction shows that, for routes with unfavorable mining conditions, the aggregate crushed stone bases for road pavement are often unstable, unable to meet the requirements for load-bearing capacity and load distribution to lower layers, leading to various types of deformation and damage on the road surface, such as rutting, cracks, and potholes. Using cement treated aggregate crushed stone bases for road pavement is an effective solution to address this problem. This article presents the research results on the effect of the flakiness and elongation index on the compressive and splitting tensile strength of 5% cement treated aggregate crushed stone. The study shows that when the flakiness and elongation index increased from 14% to 22%, the compressive and splitting tensile strength at 14 days of the age of 5% cement treated aggregate crushed stone decreased by 36,54% and 31,02%, respectively. The 5% cement treated aggregate crushed stone with flakiness and elongation index ranging from 18% to 22%, as studied in this research, still meets the strength requirements for use as pavement base course for class 3 roads and lower.

Evaluation of the shrinkage crack resistance of cement-stabilized aggregate by predicting the crack spacing

Shrinkage cracks are a major issue in the manufacture of cement-stabilised aggregate (CSA) bases. This study proposes a novel mechanical method to predict the stress and crack spacing caused by shrinkage in CSA bases. Its effectiveness was found to be 71% by using field data collected from several expressways in Jiangsu Province, China. The predicted maximum crack spacing was used to evaluate the shrinkage crack resistance of CSA with different cement contents, gradations, and forming methods. The results suggest that for a specific gradation, an optimal cement content exists that leads to the best shrinkage crack resistance. The shrinkage crack resistance of a large stone base course (LSBC) filled with CSA was found to be 30% less than that of a typical gradation. Moreover, the shrinkage crack resistance of CSA specimens was improved significantly by vibration compaction forming compared with static pressure forming.

Thermodynamic modulation of folding and aggregation energy landscape by DNA binding of functional domains of TDP-43

TDP-43 is a vital nucleic acid binding protein which forms stress-induced aberrant aggregates in around 97% cases of ALS, a fatal neurodegenerative disease. The functional tandem RRM domain of the protein (TDP-43tRRM) has been shown to undergo amyloid-like aggregation under stress in a pH-dependent fashion. However, the underlying thermodynamic and molecular basis of aggregation and how the energy landscape of folding, stability, and aggregation are coupled and modulated by nucleic acid binding is poorly understood. Here, we show that the pH stress thermodynamically destabilizes the native protein and systematically populates the unfolded-like aggregation-prone molecules which leads to amyloid-like aggregation. We observed that specific DNA binding inhibits aggregation and populates native-like compact monomeric state even under low-pH stress as measured by circular dichroism, ANS binding, size exclusion chromatography, and transmission electron microscopy. We show that DNA-binding thermodynamically stabilizes and populates the native state even under stress and reduces the population of unfolded-like aggregation-prone molecules which leads to systematic aggregation inhibition. Our results suggest that thermodynamic modulation of the folding and aggregation energy landscape by nucleic-acid-like molecules could be a promising approach for effective therapeutic intervention in TDP-43-associated proteinopathies.

Laboratory investigation on cement-treated recycled concrete aggregate bases for flexible pavements

India's economy is progressing fast, and many infrastructure development programs are going on. Especially the road network expansion is going on many folds. As a result, natural coarse aggregates are getting depleted, which has an impact on environmental sustainability. Utilizing the resources from the many aged and demolished structures will be cost-effective and solve the disposal problem of these wastes. India's government insists on using marginal material, demolished waste, or recycled aggregates as alternative materials for road construction. New codes developed by IRC and MoRTH recommend Cement Treated Bases (CTB) and Cement Treated Sub-Bases for pavement lower layers. In light of this, the present study attempts to utilize Recycled Concrete Aggregates (RCA) obtained from construction and demolition (C&D) waste in the CTB. The efficiency of RCA was checked at various replacement levels ranging from 0% to 100% with cement stabilization of 3%, 5%, and 7%. The strength properties like Unconfined Compressive Strength (UCS), Flexural Strength and durability were evaluated. The microstructural characteristics and elemental analysis of the cement treated recycled concrete aggregate mixtures were examined. The research yielded the highest potential RCA of up to 50% with a cement content of 5%, meeting the Indian Road Congress (IRC) criteria for CTB.

A molecular basis for tetramer destabilization and aggregation of transthyretin Ala97Ser.

Transthyretin (TTR)-related amyloidosis (ATTR) is a syndrome of diseases characterized by the extracellular deposition of fibrillar materials containing TTR variants. Ala97Ser (A97S) is the major mutation reported in Taiwanese ATTR patients. Here, we combine atomic resolution structural information together with the biochemical data to demonstrate that substitution of polar Ser for a small hydrophobic side chain of Ala at residue 97 of TTR largely influences the local packing density of the FG-loop, thus leading to the conformational instability of native tetramer, the increased monomeric species, and thus the enhanced amyloidogenicity of apo-A97S. Based on calorimetric studies, the tetramer destabilization of A97S can be substantially altered by interacting with native stabilizers via similarly energetic patterns compared to that of wild-type (WT) TTR; however, stabilizer binding partially rearranges the networks of hydrogen bonding in TTR variants while FG-loops of tetrameric A97S still remain relatively flexible. Moreover, TTR in complexed with holo-retinol binding protein 4 is slightly influenced by the structural and dynamic changes of FG-loop caused by A97S substitution with an approximately five-fold difference in binding affinity. Collectively, our findings suggest that the amyloidogenic A97S mutation destabilizes TTR by increasing the flexibility of the FG-loop in the monomer, thus modulating the rate of amyloid fibrillization.

Impact of Land Capability Classes and Land Use on Properties and Erodibility Behaviour of Soil of Ghatampur Watershed

The study was carried out in Ghatampur Watershed district Kanpur under National Watershed Development Project Area. The soils of Ghatampur watershed region are erodible in nature. Soil erodibility increased from land use capability class II to VI in the project area. Fallow land is most erodible followed by Rangeland, woodlots, cultivated land while orchard & grooves lands are erodible on the basis of water stable aggregates, dispersion and erosion ratio as principal indices of erodibility, soil under various land use capability classes may be arranged in the order of class VI > class V > class III > class II. The erodibility of soil under different present land use was found in the order Fallow land > Rangeland > Wood lots > Cultivated land > Orchard & grooves land, Erosion ratio was significantly and negatively correlated with clay (r = -0.920***) moisture equivalent (r= -0.669), water holding capacity (r=-0.685**), water stable aggregate (r=- 0.834***), organic carbon (r=-0.780***) and clay/moisture equivalent ratio (r=- 0.660***) but a positive correlation was recorded with sand (r-0.777***), Bulk density (r=0.709**), easily dispersible silt+clay (r= 0.888***), clay ratio (r=0.745***),dispersion ratio (r= 0.908***), Erosion index (r=0.432**),the correlation between erosion ratio and silt (r=-0.432**) was recorded to be negative but significant. Among various land use capability classes, soil erodibility decreased substantially with increasing clay content but increased with increasing advancing capability class and fallow land use. Soil of Ghatampur watershed area in erodible nature and require warrant and prompt attention for implementing intensive soil conservation measures in the entire watershed in order to subside the havoc of soil erosion within safe limits because adapted soil conservation measure variably effective to control the erosion.