Genetic Potential Research Articles

A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population

The development of transgressive segregant (TS) selection on convergent breeding populations of S4 maize is a concept that is rarely applied. However, the development of TS is necessary to accelerate maize breeding pipelines. Therefore, the objectives of this study were (1) to develop the concept of TS selection and (2) to select S4 TS maize to be developed as hybrid cross parents. The study was carried out using two experiments. The first experiment was designed with an augmented design of 6 replications for control genotypes. This design is just one factor focused on maize genotypes. However, it was divided into two sets: non-replicated of 32 TS lines and replicated of four check hybrid varieties. The second experiment focused on validation using a three-way cross. The experiment used a randomized complete block design with three replications. Based on the resulting study, the combination of ratio analysis, path analysis, best linear unbiased prediction, relative fitness, and selection indices is an objective approach to assessing the genetic potential of the S4 TS. The selection index formed was 0.53 ear weight + 0.24-grain yield percentage + yield. The index selection resulted in 11 S4 TS lines being further evaluated for their hybrid potential, with the TS line CB2.23.1 being the best. However, these TSs are expected to focus on identifying and combining ability through diallel crosses in the future. Furthermore, the three-way cross hybrid lines assessment also revealed SG 3.35.12 × JH37 F1 and CB 2.23.1 × JH37 F1 to be promising hybrid lines.

Genetic diversity and virulence of Bacillus cereus group isolates from bloodstream infections.

Bacillus cereus catheter-related bloodstream infections (CRBSIs) are an increasing concern in Japanese hospitals. Although their clinical characteristics have been explored, the genetic relationships and virulence profiles of B. cereus isolates from CRBSIs remain understudied. Here, using advanced genomic techniques, we investigated the genetic diversity, phylogenetic relationships, and virulence profiles of B. cereus isolates from patients with bloodstream infections. We analyzed 28 B. cereus group strains isolated from blood samples at the University of Tokyo Hospital between 2005 and 2017 using whole-genome sequencing, core-genome single-nucleotide polymorphism (SNP) typing, and virulence gene profiling. Core-genome SNP analysis revealed significant genetic diversity among the isolates, suggesting multiple independent sources of infection. The isolates predominantly belonged to panC clades III and IV, with distinct virulence gene profiles. All panC clade III isolates contained hbl operon genes, whereas four isolates from clade IV harbored cereulide synthetase genes (cesABCD). One isolate possessed a capsule gene operon (capBCADE), a rare finding among clinical B. cereus strains. Biofilm formation ability was observed in 50% of catheter-related isolates, although this ability was not significantly different from that of the noncatheter-related isolates.IMPORTANCEThis study provides novel insights into the genetic diversity and virulence potential of B. cereus strains causing bloodstream infections in a Japanese hospital setting. These findings suggest diverse infection pathways and highlight the importance of continuous molecular epidemiological surveillance for effective infection control.

Exploring the Genetic Potential for Multi-Resistance to Rust and Other Coffee Phytopathogens in Breeding Programs

Exploring the Genetic Potential for Multi-Resistance to Rust and Other Coffee Phytopathogens in Breeding Programs

Unveiling the genetic potential and diversity of rice landraces for grain Fe content

Addressing micronutrient deficiency is increasingly recognized as a critical aspect of food and nutrition security in developing nations. Leveraging diverse genetic resources offers a promising avenue for identifying and enhancing micronutrient-rich genotypes through breeding strategies, thus providing sustainable solutions to this pressing challenge. The study aimed to identify rice genotypes with high Fe content and to study the extent of genetic divergence based on morphological and grain quality traits in a set of 50 native rice landraces over 2 different locations. A wide range of variation for grain Fe content was observed among the studied genotypes, which varied from 9.28–14.45 mg kg-1 and 1.88–4.87 mg kg-1 in brown and polished rice respectively. Results showed that the genotypes Jaya, Kalanamak, Kottara Samba, Gandakasala and Gopalbhog recorded high grain Fe content before polishing whereas Kottara Samba, Kalapathi Black, Jyothi, Chinnar and Kalanamak were found to have high Fe content after polishing. Interestingly, landraces possessing red seed coat color and medium slender grain group were identified to possess high grain Fe content. This was further substantiated by the correlation study where kernel breadth recorded a negative association with Fe content after polishing. Clustering resulted in 5 groups where the high Fe content possessing genotypes were grouped into clusters 2 and 4. Thus, these genotypes could be utilized as donors in further bio-fortification breeding programs.

Metagenomics and Metagenome-Assembled Genomes: Analysis of Cupei from Sichuan Baoning Vinegar, One of the Four Traditional Renowned Vinegars in China

The microbial community in vinegar has primarily been investigated by analyzing short reads to determine operational taxonomic units, but it is also crucial to identify metagenome-assembled genomes (MAGs). In this study, the microbial diversity and functionality in Sichuan Baoning vinegar were examined through deep metagenomic sequencing and metagenomic binning. Results revealed that the most prevalent phylum was Firmicutes, followed by Proteobacteria and unclassified Bacteria. The most abundant bacterial species was Acetilactobacillus jinshanensis, while Saccharomyces cerevisiae was the most prevalent fungal species. The predominant viral species were Hopescreekvirus LfeInf, Myoviridae sp., and Siphoviridae sp. A total of 1395 MAGs were reconstructed, with 660 of them annotated. The majority of MAGs resolved at the species level were attributed to Firmicutes (n = 308), with Acetilactobacillus jinshanensis being the most abundant. According to the average nucleotide identity values, 223 out of the 660 MAGs might represent novel species. The recovered MAGs exhibited biomarker genes indicative of the genetic potential to encode several important secondary metabolites. This study helps to uncover the microbial composition and functional potential of microbial genomes in Sichuan Baoning vinegar.

Effects of naked neck and frizzle genes on growth and egg-laying performance of chickens in the tropics in an era of climate change.

In regions characterized by tropical and subtropical climates, the elevated ambient temperatures exert adverse effects on both broiler and laying chickens, impacting their growth and egg production performance. To mitigate the challenges posed by heat stress, genetic strategies aimed at reducing feather coverage have gained prominence in hot climate areas. Among these approaches, the naked neck (Na) and frizzle (F) genes have emerged as particularly noteworthy. The Na and F genes play a pivotal role in facilitating heat dissipation and temperature regulation. By decreasing feather insulation, these genes enable efficient heat dissipation through exposed areas of the chickens' bodies. This reduction in feather coverage leads to elevated body surface temperature, which, in turn, enhances the capacity for heat loss and contributes to overall body temperature reduction. A substantial body of literature underscores the well-established positive impacts of the naked neck and frizzle genes on growth and egg-laying performance. As a result, these genes hold significant potential for integration into broiler and layer production systems, especially in regions characterized by high tropical temperatures. In the context of broiler farming under challenging heat conditions, the Na and F genes have demonstrated favorable effects on crucial parameters such as feed conversion ratio, body weight gain, disease resistance, and carcass attributes. Likewise, layers exposed to elevated temperatures exhibit enhanced egg production, eggshell quality, fertility, hatchability, and resistance to diseases when these genesare incorporated. Given that the prevalence of the naked neck and frizzle genes is primarily observed in indigenous chicken populations, it becomes imperative to prioritize measures for their conservation due to their exceptional performance in heat-stressed environments. To unlock the full genetic potential of exotic poultry reared in hot and humid conditions, the integration of the Na and F genes is a strongly recommended strategy.

Identifcation and fine mapping of qHSW1, a major QTL for hundred-seed weight in mungbean

Mung bean, an important economic crop, is considered a crop with relatively high levels of plant protein constituents and is consumed as both a vegetable and a grain. Among various yield-related traits, hundred-seed weight (HSW) is crucial in determining mung bean production. This study employed a recombinant inbred line (RIL) population of 200 lines that were genotyped via whole-genome resequencing to exploit genetic potential in the identification of HSW-associated quantitative trait loci (QTLs) across four environments. We identified 5 QTLs for HSW, each explaining 2.46–26.15% of the phenotypic variance. Among these, qHSW1 was mapped on chromosome 1 in all four environments, explaining 16.65-26.15% of the phenotypic variation. Fine mapping and map-based cloning procedures, along with progeny testing of recombinants, aided in narrowing the candidate interval for qHSW1 to 506 kb. This identification of the qHSW1 genomic interval and closely linked markers to qHSW1 could prove valuable in breeding efforts for improved mung bean cultivars with higher seed weight.

ПРЕИМУЩЕСТВА РАЗВЕДЕНИЯ КОЗ В УСЛОВИЯХ ИЗМЕНЕННОГО КЛИМАТА

The purpose of the study is to analyze the benefits of goat breeding in a changing climate and show the value of goat products for human health. The characteristics of goats under deteriorating environmental conditions are identified, which can not only provide good economic returns for households and farms, but also contribute to climate change. The analysis of the literature of domestic and foreign authors was carried out using the methods of systematization and generalization. It has been established that goats are considered ideal animals due to their high heat and drought tolerance, high feed conversion efficiency resulting in lower intestinal CH4 emissions per unit of feed consumed. The natural ability of goats to survive in the presence of poor quality or limited vegetation and to maintain a balance that helps them gain access to the leaves of shrubs and trees is described, which is considered an advantage over other types of livestock. They are less susceptible and more resistant to certain diseases. Compared to other ruminants, goats have more lymphocytes than neutrophils, indicating a well-developed immune system in this species. Goats are bred mostly in natural conditions with very little use of pharmacological preparations to improve health and productivity, thus the meat and milk obtained from them can be considered natural products that are beneficial to health. Goats are prolific ruminants, which is an advantage for the production and improvement of their genetic potential. The huge increase in population is expected to further increase the already high demand for meat and milk. Goats have great potential and can play a significant role in the supply of healthy meat and milk.

Molecular diversity and genetic potential of new maize inbred lines across varying sowing conditions in arid environment

Developing high-yielding and resilient maize hybrids is essential to ensure its sustainable production with the ongoing challenges of considerable shifts in global climate. This study aimed to explore genetic diversity among exotic and local maize inbred lines, evaluate their combining ability, understand the genetic mechanisms influencing ear characteristics and grain yield, and identify superior hybrids suited for timely and late sowing conditions. Seven local and exotic maize inbred lines were genotyped using SSR (Simple Sequence Repeat) markers to assess their genetic diversity. These diverse lines were utilized to develop 21 F1 hybrids using a diallel mating design. These hybrids, alongside a high-yielding commercial check (SC-10), were evaluated under field conditions across two growing seasons under timely and late sowing conditions. The results showed that sowing date, assessed hybrids, and their interaction significantly influenced all measured agronomic traits. Notably, late sowing reduced plant height, ear characteristics, and, ultimately, grain yield. Several hybrids, particularly L101 × L103, L101 × L105, L104 × L105, and L104 × L107 under timely sowing, and L101 × L105 and L104 × L107 under late sowing, surpassed the agronomic performance of check commercial hybrid. Inbred lines L101 and L103 emerged as superior combiners for ear traits and yield, while line L106 showed promise for breeding shorter-stature plants. Hybrid combinations L101 × L105, L104 × L107, and L106 × L107 were identified as specific good combiners for grain yield and related traits under both sowing conditions, indicating their potential for commercial development. Strong positive associations were observed between grain yield and certain agronomic traits highlighting their utility for indirect selection in early breeding generations.

Genetic potential of papaya genotypes: insights from agronomic descriptors and parameter estimation

Carica papaya L., a fruit crop of high nutritional and economic importance, faces significant challenges regarding yield stability, fruit quality and environmental stress tolerance. This study explored genetic variation, heritability and trait correlations to support targeted papaya breeding programs. Through a Line × Tester mating design, 40 F1 hybrids were developed from 14 parental genotypes, revealing considerable genetic diversity. High heritability values (87.25% – 99.65%) for key traits confirmed the strong genetic influence on fruit yield, size and number of fruits per plant. Notable anticipated genetic advances, particularly for fruit yield (93.16%), emphasize the prospects for substantial improvement through selective breeding. Traits such as fruit yield per plant (45.30%), fruit weight (39.06%) and number of fruits per plant (31.46%) showed the highest genotypic and phenotypic variability. The study also highlighted the impact of environmental factors, as phenotypic coefficients of variation exceeded genotypic coefficients across traits, underlining the need for integrating ecological adaptability in breeding strategies. These results emphasize the importance of utilizing genetic diversity to enhance papaya yield and quality, meeting both domestic and global market demands. By leveraging the observed genetic potential, breeders can develop improved genotypes that align with sustainability goals, ensuring higher productivity, better market returns and enhanced food security in papaya-producing regions.

Study and conservation of the genetic potential of the wild plant Agriophyllum squarrosum L. in the deserts and semi-deserts of Western Kazakhstan

The aim of this study is to assess the distribution of Agriophyllum squarrosum (L.) in the Western Kazakhstan and Aktobe regions of the Republic of Kazakhstan. This plant, a wild species with significant potential for fodder production, has received limited attention in these areas. The objectives of this research include determining the species' distribution, evaluating its economically valuable potential, conducting phenological observations, and performing biochemical analyses. The study also involved documenting the coordinates of germination sites, introduction experiments, and examining the plant's biological features under cultivation. Methodologically, we focused on monitoring specific locations in the Zhanakala area and Naryn sands (Western Kazakhstan,) and the Shalkar area (Aktobe, Western Kazakhstan), where fodder productivity was measured. In the Zhanakala area and Naryn Sands, Agriophyllum squarrosum produced 6–8 c/ha of green mass and 2–2.5 c/ha of hay, while in the Shalkar area, productivity was lower at 4–5 c/ha of green mass and 1.0–1.5 c/ha of hay. These findings suggest that Agriophyllum squarrosum has potential as a fodder crop in semi-arid regions, with further studies needed to optimize its cultivation.

Advancing Neem's Role in Environmental Sustainability: Genetic Potential and Industrial Applications

ABSTRACTThe neem (Azadirachta indica A. Juss.), a versatile tree native to the Indian subcontinent and Southeast Asia, is widely recognized for its applications in environmental protection, pest control, and medicine. This review examines neem's genetic potential, its role in reducing environmental pollution, and its use in agroforestry and industrial applications. Despite its broad utility, neem's potential remains underutilized due to technological and financial constraints, particularly the lack of high‐yielding cultivars with increased azadirachtin content. Advances in breeding, genetic modification, and biotechnology are crucial for maximizing neem's contributions in environmental and industrial fields, while promoting sustainable organic farming and reforestation practices.

Effects of aluminum on metabolism of reactive oxygen species and reactive nitrogen species in root tips of different Eucalyptus species

On acidified soil, the growth of Eucalyptus is seriously restricted by aluminum (Al) stress. Therefore, breeding Eucalyptus species with excellent Al tolerance, developing the genetic potential of species, and improving tolerance to Al stress are important for the sustainable development of artificial Eucalyptus forests. By observing the occurrence and distribution of the main reactive oxygen species (ROS) and reactive nitrogen species (RNS) in root tips of Eucalyptus seedlings under Al stress, this study analyzed change in the growth and physiological indexes of Eucalyptus seedlings under Al stress. The antioxidant enzymes activities of the root tips of different Eucalyptus species induced by Al stress resulted in different ROS and RNS contents, ultimately resulting in differing degrees of membrane lipid peroxidation. In addition to suppressions of root relative elongation and root activity, the accumulations of soluble sugar, soluble protein, and proline can be used as indicators of Al sensitivity in Eucalyptus species. This may be an important determinant of the differences in Al tolerance among Eucalyptus species. The accumulation of ROS and RNS in the roots of E. grandis and E. tereticornis resulted in severe oxidative and nitrification stress. The tolerance of E. urophylla and E. urophylla × E. grandis to Al stress was stronger than that of E. grandis and E. tereticornis. Differences in Al toxicity tolerance were related to long-term selection of the original habitat of the species; moreover, the Al tolerance was hereditary. Eucalyptus urophylla × E. grandis had stronger Al tolerance than its parents, which is indicative of heterosis. These results provide theoretical support for the breeding of tree species in areas with acidic soil.

Molecular and genetic analysis of methicillin-resistant Staphylococcus aureus (MRSA) in a tertiary care hospital in Saudi Arabia.

Methicillin-resistant Staphylococcus aureus (MRSA) continues to pose significant challenges in healthcare settings due to its multi-drug resistance (MDR) and virulence. This retrospective study examines the molecular and resistance profiles of MRSA isolates from a tertiary care hospital in Saudi Arabia, providing valuable insights into regional epidemiology. A total of 190 MRSA strains were analysed to assess antimicrobial susceptibility, genetic diversity, and virulence factors. Antimicrobial susceptibility testing was conducted according to CLSI guidelines, while molecular characterization involved spa typing, SCCmec typing, and DNA microarray analysis to determine clonal complexes (CCs), resistance genes, and virulence determinants. The isolates showed extensive resistance to beta-lactam antibiotics, with 78% classified as MDR. Notably, resistance to fusidic acid and ciprofloxacin was detected in 70% and 55% of isolates, respectively. The most prevalent clonal complexes-CC5, CC6, and CC22-comprised over 60% of the isolates and exhibited diverse spa types. The Panton-Valentine leukocidin (PVL) gene, linked to heightened virulence, was identified in approximately 20% of isolates, particularly within CC5, CC30, and CC80. Enterotoxin genes (sea and seb) and immune evasion genes (sak, chp, and scn) were also commonly detected, reflecting the isolates' capacity to adapt and persist within the hospital environment. These findings underscore the high burden of MDR MRSA with considerable genetic diversity and virulence potential. The study highlights the urgent need for strengthened molecular surveillance and targeted infection control measures to limit MRSA transmission and effectively manage infection risks in healthcare facilities.

Forecasting Range Shifts in Terrestrial Alpine Insects Under Global Warming.

Anthropogenic planetary heating is disrupting global alpine systems, but our ability to empirically measure and predict responses in alpine species distributions is impaired by a lack of comprehensive data and technical limitations. We conducted a comprehensive, semi-quantitative review of empirical studies on contemporary range shifts in alpine insects driven by climate heating, drawing attention to methodological issues and potential biotic and abiotic factors influencing variation in responses. We highlight case studies showing how range dynamics may affect standing genetic variation and adaptive potential, and discuss how data integration frameworks can improve forecasts. Although biotic and abiotic factors influence individual species responses, most alpine insects studied so far are shifting to higher elevations. Upslope shifts are often accompanied by range contractions that are expected to diminish species genetic variation and adaptive potential, increasing extinction risk. Endemic species on islands are predicted to be especially vulnerable. Inferences drawn from the responses of alpine insects, also have relevance to species in other montane habitats. Correlative niche modelling is a keystone tool to predict range responses to planetary heating, but its limited ability to consider biological processes underpinning species' responses complicates interpretation. Alpine insects exhibit some potential to respond to rising temperatures via genetic change or phenotypic plasticity. Thus, future efforts should incorporate biological processes by using flexible hybrid niche modelling approaches to enhance the biological realism of predictions. Boosting scientific capability to envisage the future of alpine environments and their associated biota is imperative given that the speed and intensity of heating on high-mountain ecosystems can surpass our ability to collect the empirical data required to guide effective conservation planning and management decisions.

Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments

ABSTRACTPlant phenomics deals with the measurement of plant phenotypes associated with genetic and environmental variation in controlled environment agriculture (CEA). Encompassing a spectrum from molecular biology to ecosystem‐level studies, it employs high‐throughput phenotyping (HTP) approaches to quickly evaluate characteristics and enhance the yields of crops in smart plant facilities. HTP uses environmental parameters for accuracy, such as software sensors, as well as hyperspectral imaging for pigment data, thermal imaging for water content, and fluorescence imaging for photosynthesis rates. They provide information on growth kinetics, physiological and biochemical characteristics, and genotype–environment interaction. Artificial intelligence (AI) and machine learning (ML) are used on a large volume of phenotypic data to predict growth rates, determine the optimal time to water plants, or detect diseases, nutrient deficiencies, or pests at an early stage. The lighting used in smart plant factories is adjusted based on the specific growth phase of the plants, such as using different light intensities, spectrums, and durations for germination, vegetative growth, and flowering stages, hydroponics as the method of providing nutrients, and CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) for improving certain characteristics, such as resistance to drought. These systems enhance crop production, yields, adaptability, and input use by optimizing the environment and utilizing precision breeding techniques. Plant phenomics with AI is a combination of several disciplines, promoting the understanding of plant–environment interactions in relation to agriculture problems such as resource use, diseases, and climate change. It affects their capacity to develop crops that capture inputs, minimize chemical application, and are resilient to climate change. Phenomics is cost‐effective, reduces inputs, and contributes to more sustainable agricultural practices, being economically and environmentally sound. Altogether, plant phenomics is central to CEA due to its capacity to capitalize on phenotypic data and genetic potential within agriculture to advance sustainability and food security. Through phenomic research, the next advancements are likely to be even more revolutionary in terms of agricultural practices and food systems worldwide.

Bambara groundnut [Vigna subterranea (L.) Verdc.] genetic diversity and population structure assessed through next‐generation sequencing technologies: Restriction‐site‐associated DNA sequencing

AbstractThe importance of underutilized crops in the diversification of diets for both humans and animals, among other uses, has been highlighted in literature in recent times. Underutilized crops are especially important because of their potential to provide nutrient‐packed, climate‐resilient, and sustainable farming practices. One such crop is Bambara groundnut [Vigna subterranea (L.) Verdc], whose genetic potential has not been afforded sufficient research attention. For most of the rural areas in Sub‐Saharan Africa, it is a great source of food and income and is most valued for its nutrient richness and ability to thrive in marginal land. However, farmers grapple with the lack of high agronomic quality seeds where production of the crop is concerned. The aim of this study was to establish an easy basis for selecting seeds that are of favorable agronomic potential by assessing whether a singular characteristic (seed coat color) was sufficient to group landraces. Restriction‐site‐associated DNA (RAD) sequencing was used for the first time to assess the genetic variations and/or similarities in 48 Bambara groundnut landraces. The findings revealed that there are two populations that are genetically variable among the chosen 48 landraces; however, these variations were not as a result of a singular morphological attribute. Therefore, farmers cannot use coat color alone to select for landraces that are of better agronomic quality.

Replication-competent recombinant porcine reproductive and respiratory syndrome (PRRS) virus expressing antiviral cytokine interferon-ω5 as a modified live virus vaccine.

Porcine reproductive and respiratory syndrome (PRRS), caused by the highly variable PRRS virus (PRRSV), presents a significant challenge to the swine industry due to its pathogenic and economic burden. The virus evades host immune responses, particularly interferon (IFN) signaling, through various viral mechanisms. Traditional vaccines have shown variable efficacy in the field, prompting the exploration of novel vaccination strategies. This study investigates a reverse genetics approach to develop a modified live virus (MLV) vaccine expressing the potent antiviral cytokine interferon-ω5 (IFN-ω5) to combat PRRSV. The study utilizes an infectious cDNA clone of PRRSV, incorporating genetic modifications for IFN-ω5 expression. A comparative evaluation, including in vitro and particularly in vivo assessments here, was conducted to determine the vaccine's efficacy. Results indicate that pigs vaccinated with the IFN-ω5 MLV exhibited significant differences compared to the mock group in terms of body temperature, weight gain, antibody response, viral load, cytokine profile, and lung lesions following PRRSV challenge. This study underscores the potential of reverse genetics and IFN-ω5 expression as a promising strategy for developing effective PRRSV vaccines. The findings provide valuable insights into the mechanisms of immune response and viral pathogenesis, highlighting the importance of early immune activation in combating PRRSV infection.

Habitat fragmentation increases the risk of local extinction of small reptiles: A case study on Phrynocephalus przewalskii.

Habitat fragmentation represents a multifaceted global conservation threat, exerting both direct and indirect effects on individual animals and communities. Reptiles, particularly smaller species with limited migratory abilities, are especially vulnerable to these changes. This study examines how small reptiles adapt their life history strategies in fragmented habitats and determines whether their responses are primarily due to phenotypic plasticity or genetic adaptation. We focused on Phrynocephalus przewalskii, analyzing body size, reproductive strategies, genetic structure, and diversity across three habitats with varying degrees of fragmentation. This study investigated the response of P. przewalskii to varying degrees of habitat fragmentation in Wuhai City, Inner Mongolia. The study compared morphological characteristics, reproductive investment, genetic diversity, and fluctuating asymmetry of P. przewalskii individuals from the sampling areas. Results showed that individuals in highly fragmented areas exhibited smaller body size, higher reproductive investment, and lower genetic diversity. Genomic analyses revealed significantly fewer SNPs, INDELs, and SVs in the highly fragmented area compared to others, with the slowest linkage disequilibrium decay rate, indicating strong environmental pressure. Furthermore, individuals in the highly fragmented area had significantly higher fluctuating asymmetry, serve as an important ecological and biological indicator reflecting habitat fragmentation. These findings demonstrated that habitat fragmentation negatively impacts the survival and reproduction of P. przewalskii, reducing its genetic diversity and adaptive potential, and increasing the risk of local extinction. This study provides crucial data for understanding the mechanisms of animal adaptation to fragmented habitats and aids in assessing species extinction risks and developing conservation strategies.

Phytoremediation and genetic adaptation potential of Jatropha curcas on heavy metals enriched mine tailings

BackgroundPhytoremediation is aninexpensive green method that uses metal-tolerant plants to extract these contaminants and restore the soil. MethodsThe phytoremediation potential and genomic DNA/genetic adaptability nature of Jatropha curcas was investigated by 90 days of greenhouse experiment.The genomic DNA stability was determined through RAPD analysis. Soil characterization results the magnesite mine tailing physicochemical parameters (pH, Total carbon, Total hardness, NPK, Cr, Pb, Mn, and Cd) were beyond the acceptable limits. Thus, the mine soil diluted with fertile soil (group a-f) to create different treatment groups. Significant FindingsThe results stated that soil diluted with maximum quantity of fertile soil showed maximum growth and considerably extracted the metals from the soil compared to undiluted (group e) soil and other groups. The BAF and TF values strongly suggests that the J.curcas is suitable candidature with phytoextraction potential. The RAPD analysis on whole genomic DNA revealed that the plan possesses considerable metal adaptation potential under metal stress condition confirmed by GTS and DNA polymorphism analyses through RAPD and also TSP analyses. Hence, this J. curcas can be employed as considerable plant with phytoextraction (as hyperaccumulator) potential to remove the heavy metals from the soil.