Soybean production in Indonesia is constrained by land competition, yet coastal sandy soils planted with high-value chili offer a niche for soybean via relay cropping. We evaluated five varieties (Anjasmoro, Dena 1, Demas 1, Malika, Grobogan) in an irrigated soybean–chili relay at Samas, Indonesia, across two seasons in 2023 (CS1: January–May; CS2: July–October) using a randomized complete block design with three replications. Analysis of variance (ANOVA) and genotype-by-environment (GGE) biplots assessed genotype × environment interaction (GEI), and a Random Forest model with permutation importance identified agronomic predictors of seed weight per plant (SWP). Results showed that ANOVA detected significant GEI for SWP and several traits, and GGE grouped varieties as: (1) high-to-moderate yield with stability (Anjasmoro, Dena 1), (2) high yield with lower stability (Malika, Demas 1), and (3) low yield with relative stability (Grobogan). Random Forest ranked predictors as plant height >100-seed weight > pods per plant > seeds per plant > leaf area, indicating that canopy architecture and seed mass, supported by number components, underpin performance. Under the tested irrigated coastal-sand conditions (CS1–CS2 at one site-year), Anjasmoro was the most promising, whereas Dena 1 exhibited the greatest stability at moderate yield; broader recommendations require multi-location, multi-year validation.
{"title":"Soybean genotype performance and seasonal stability in relay cropping with chili on coastal sandy soils","authors":"Rohimah H.S. Lestari , Endang Sulistyaningsih , Eka Tarwaca Susila Putra , Benito Heru Purwanto","doi":"10.1016/j.egg.2025.100420","DOIUrl":"10.1016/j.egg.2025.100420","url":null,"abstract":"<div><div>Soybean production in Indonesia is constrained by land competition, yet coastal sandy soils planted with high-value chili offer a niche for soybean via relay cropping. We evaluated five varieties (Anjasmoro, Dena 1, Demas 1, Malika, Grobogan) in an irrigated soybean–chili relay at Samas, Indonesia, across two seasons in 2023 (CS1: January–May; CS2: July–October) using a randomized complete block design with three replications. Analysis of variance (ANOVA) and genotype-by-environment (GGE) biplots assessed genotype × environment interaction (GEI), and a Random Forest model with permutation importance identified agronomic predictors of seed weight per plant (SWP). Results showed that ANOVA detected significant GEI for SWP and several traits, and GGE grouped varieties as: (1) high-to-moderate yield with stability (Anjasmoro, Dena 1), (2) high yield with lower stability (Malika, Demas 1), and (3) low yield with relative stability (Grobogan). Random Forest ranked predictors as plant height >100-seed weight > pods per plant > seeds per plant > leaf area, indicating that canopy architecture and seed mass, supported by number components, underpin performance. Under the tested irrigated coastal-sand conditions (CS1–CS2 at one site-year), Anjasmoro was the most promising, whereas Dena 1 exhibited the greatest stability at moderate yield; broader recommendations require multi-location, multi-year validation.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100420"},"PeriodicalIF":0.0,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-27DOI: 10.1016/j.egg.2025.100419
Pham Trong Nhan , Le Hong En , Nguyen Van Ket , Le Ngoc Trieu
The genetic diversity and variation of two Calamus poilanei populations in the Southern Central Highlands, Vietnam, were comparatively assessed using three different DNA fingerprinting techniques: Start Codon Targeted Polymorphism (SCoT), Inter Simple Sequence Repeat (ISSR), and CAAT Box-Derived Polymorphism (CBDP).
Combined data revealed that the genetic diversity of the Cat Tien population was characterized by expected heterozygosity (He) = 0.2498, Shannon index (I) = 0.3772, and the proportion of polymorphic bands (PPB) = 78.47 %. The Dak R'Lap population showed slightly higher values: He = 0.2529, I = 0.3826, and PPB = 82.3 %. At the metapopulation level, He = 0.2611, I = 0.3998, and PPB = 92.34 %. Pairwise genetic similarity coefficients between individuals (SCs) ranged from 0.536 to 0.933 (average = 0.755) in the Cat Tien population, from 0.565 to 0.914 (average = 0.770) in the Dak R'Lap population, and from 0.512 to 0.933 (average = 0.755) for the metapopulation. Gene flow between populations (Nm) was high (12.88), leading to low genetic differentiation (GST = 0.0374) and genetic distance (D = 0.0264). The majority of total genetic variation occurred within populations (94 %), with only 6 % among populations.
Although the three techniques showed no consistent correlation in estimating He, I, or PPB, they showed agreement in estimating Nm, GST, and D. Among them, SCoT was the most effective in this study, considering its overall utility.
These findings contribute to conservation planning for Calamus poilanei and provide orientation for future studies on related species.
{"title":"Study on population genetic diversity and variation of Calamus poilanei Conrard in the Southern Central Highlands, Vietnam","authors":"Pham Trong Nhan , Le Hong En , Nguyen Van Ket , Le Ngoc Trieu","doi":"10.1016/j.egg.2025.100419","DOIUrl":"10.1016/j.egg.2025.100419","url":null,"abstract":"<div><div>The genetic diversity and variation of two <em>Calamus poilanei</em> populations in the Southern Central Highlands, Vietnam, were comparatively assessed using three different DNA fingerprinting techniques: Start Codon Targeted Polymorphism (SCoT), Inter Simple Sequence Repeat (ISSR), and CAAT Box-Derived Polymorphism (CBDP).</div><div>Combined data revealed that the genetic diversity of the Cat Tien population was characterized by expected heterozygosity (<em>H</em><sub>e</sub>) = 0.2498, Shannon index (<em>I</em>) = 0.3772, and the proportion of polymorphic bands (<em>PPB</em>) = 78.47 %. The Dak R'Lap population showed slightly higher values: <em>H</em><sub>e</sub> = 0.2529, <em>I</em> = 0.3826, and <em>PPB</em> = 82.3 %. At the metapopulation level, <em>H</em><sub>e</sub> = 0.2611, <em>I</em> = 0.3998, and <em>PPB</em> = 92.34 %. Pairwise genetic similarity coefficients between individuals (SCs) ranged from 0.536 to 0.933 (average = 0.755) in the Cat Tien population, from 0.565 to 0.914 (average = 0.770) in the Dak R'Lap population, and from 0.512 to 0.933 (average = 0.755) for the metapopulation. Gene flow between populations (<em>N</em><sub>m</sub>) was high (12.88), leading to low genetic differentiation (<em>G</em><sub>ST</sub> = 0.0374) and genetic distance (<em>D</em> = 0.0264). The majority of total genetic variation occurred within populations (94 %), with only 6 % among populations.</div><div>Although the three techniques showed no consistent correlation in estimating <em>H</em><sub>e</sub>, <em>I</em>, or <em>PPB</em>, they showed agreement in estimating <em>N</em><sub>m</sub>, <em>G</em><sub>ST</sub>, and <em>D</em>. Among them, SCoT was the most effective in this study, considering its overall utility.</div><div>These findings contribute to conservation planning for <em>Calamus poilanei</em> and provide orientation for future studies on related species.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100419"},"PeriodicalIF":0.0,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-27DOI: 10.1016/j.egg.2025.100418
Shabeena Banu M S , Sherlin Rosita A , Jebastin T , Jay Shree M , Shivani J , Thajuddin N , Nargis Begum T
The opportunistic pathogen Streptococcus oralis (COL85/1862) (S. oralis) is responsible for several illnesses, such as Infective Endocarditis and Bacteremia. The raising bacterial resistance demands innovative therapeutic strategies that selectively target essential bacterial proteins. The present study adopted a subtractive proteomics approach to identify substantial drug targets in S. oralis. The complete proteome of S. oralis was retrieved from the UniProtKB database, and a series of computational filtering steps was conducted to identify non-homologous proteins, essential proteins, and novel druggable proteins using bioinformatics tools such as BLASTp, Database of Essential Genes (DEG) and Cytoscape to determine druggable targets. Initially, to discover non-homologous proteins, the proteome was first compared to the human host using BLASTp. Out of the 1816 total proteins, 1543 were specific to bacteria. Subsequently, screening using the Database of Essential Genes (DEG) identified 399 key proteins necessary for bacterial viability. Subcellular localization analysis using the PSORTb v3.0 web server identified proteins exclusively associated with the cytoplasm and cytoplasmic membrane. Druggability assessment revealed 216 proteins with druggable domains. Among them, 10 hub proteins were identified through Cytoscape's Protein-Protein Interaction (PPI) network analysis, underscoring their importance in bacterial function and survival. VirulentPred 2.0 was used to assess the virulence of these proteins and identified two crucial proteins involved in S. oralis virulence. These final virulent proteins, which are primarily ribosomal, were structurally modelled and subjected to molecular docking with known antibiotics. This subtractive proteomics pipeline successfully identified potential therapeutic targets, aiding in the development of potential antibacterial agents against S. oralis.
机会致病菌口腔链球菌(COL85/1862) (S. oralis)可导致多种疾病,如感染性心内膜炎和菌血症。细菌耐药性的提高需要创新的治疗策略,选择性地靶向必需的细菌蛋白质。本研究采用减法蛋白质组学方法来鉴定口腔链球菌的实质性药物靶点。从UniProtKB数据库中检索口腔链球菌的完整蛋白质组,利用BLASTp、database of essential Genes (DEG)和Cytoscape等生物信息学工具进行一系列计算过滤步骤,鉴定非同源蛋白、必需蛋白和新型可药物蛋白,确定可药物靶点。最初,为了发现非同源蛋白,首先使用BLASTp将蛋白质组与人类宿主进行比较。在总共1816种蛋白质中,1543种是针对细菌的。随后,使用必要基因数据库(DEG)进行筛选,鉴定出399种细菌生存所必需的关键蛋白。使用PSORTb v3.0 web服务器进行亚细胞定位分析,鉴定出与细胞质和细胞质膜相关的蛋白质。药理评价发现216个蛋白具有药理结构域。其中,通过Cytoscape的蛋白-蛋白相互作用(PPI)网络分析鉴定出10个枢纽蛋白,强调了它们在细菌功能和生存中的重要性。VirulentPred 2.0用于评估这些蛋白的毒力,并鉴定了两个与口腔链球菌毒力有关的关键蛋白。这些主要是核糖体的最终毒性蛋白在结构上进行了建模,并与已知抗生素进行了分子对接。这种减法蛋白质组学方法成功地鉴定了潜在的治疗靶点,有助于开发针对口腔链球菌的潜在抗菌药物。
{"title":"Exploring druggable and virulent proteins in Streptococcus oralis (COL85/1862) through computational subtractive proteomics approach","authors":"Shabeena Banu M S , Sherlin Rosita A , Jebastin T , Jay Shree M , Shivani J , Thajuddin N , Nargis Begum T","doi":"10.1016/j.egg.2025.100418","DOIUrl":"10.1016/j.egg.2025.100418","url":null,"abstract":"<div><div>The opportunistic pathogen <em>Streptococcus oralis</em> (COL85/1862) <em>(S. oralis)</em> is responsible for several illnesses, such as Infective Endocarditis and Bacteremia. The raising bacterial resistance demands innovative therapeutic strategies that selectively target essential bacterial proteins. The present study adopted a subtractive proteomics approach to identify substantial drug targets in <em>S. oralis.</em> The complete proteome of <em>S. oralis</em> was retrieved from the UniProtKB database, and a series of computational filtering steps was conducted to identify non-homologous proteins, essential proteins, and novel druggable proteins using bioinformatics tools such as BLASTp, Database of Essential Genes (DEG) and Cytoscape to determine druggable targets. Initially, to discover non-homologous proteins, the proteome was first compared to the human host using BLASTp. Out of the 1816 total proteins, 1543 were specific to bacteria. Subsequently, screening using the Database of Essential Genes (DEG) identified 399 key proteins necessary for bacterial viability. Subcellular localization analysis using the PSORTb v3.0 web server identified proteins exclusively associated with the cytoplasm and cytoplasmic membrane. Druggability assessment revealed 216 proteins with druggable domains. Among them, 10 hub proteins were identified through Cytoscape's Protein-Protein Interaction (PPI) network analysis, underscoring their importance in bacterial function and survival. VirulentPred 2.0 was used to assess the virulence of these proteins and identified two crucial proteins involved in <em>S. oralis</em> virulence. These final virulent proteins, which are primarily ribosomal, were structurally modelled and subjected to molecular docking with known antibiotics. This subtractive proteomics pipeline successfully identified potential therapeutic targets, aiding in the development of potential antibacterial agents against <em>S. oralis.</em></div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100418"},"PeriodicalIF":0.0,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Psophocarpus tetragonolobus (Winged bean) is an underutilized legume with significant economic potential but is constrained by a prolonged maturation period. This study aimed to identify early maturing accessions using qualitative and quantitative traits, and molecular markers (ISSR and SCoT) in a randomized complete block design. Vegetative and yield characters including leaf shape, corolla colour, pod formation, plant height, leaf length and stem diameter, varied significantly among accessions, with TPt-6 exhibiting the highest plant height (71.96 cm) and TPt-11 showing the largest stem diameter (1.9 cm). Accessions TPt-19, TPt-6 and TPt-125 exhibited early flowering at 41, 42, and 45 days after planting, respectively, while TPt-6 and TPt-11 showed early pod formation at 54 and 58 days, respectively. Among the three ISSR and SCoT markers tested, UBC-811 (ISSR) and SCoT-3 (SCoT) exhibited the highest polymorphic information content (69.75 %) and gene diversity (0.75), indicating their effectiveness in detecting genetic variation. The accessions were grouped into two major clusters A and B, with TPt-19 and TPt-9 forming a subclade within Cluster B which suggests genetic distinctiveness. These findings highlight TPt-6, TPt-11, TPt-19 and TPt-125 as promising candidates for breeding programs focused on improving early maturity in winged bean.
{"title":"Assessment of early morphological traits and molecular characters of Psophocarpus tetragonolobus (L.) DC. (winged bean) using ISSR and SCoT markers","authors":"Odunayo Joseph Olawuyi , Hiqmoh Adekilekun Mutiu , Omolara Ifeoluwa Akinyoola , Opeyemi Muideen Mudasiru , Joshua Oluremi Odedeji , Abiodun Abeeb Azeez","doi":"10.1016/j.egg.2025.100416","DOIUrl":"10.1016/j.egg.2025.100416","url":null,"abstract":"<div><div><em>Psophocarpus tetragonolobus</em> (Winged bean) is an underutilized legume with significant economic potential but is constrained by a prolonged maturation period. This study aimed to identify early maturing accessions using qualitative and quantitative traits, and molecular markers (ISSR and SCoT) in a randomized complete block design. Vegetative and yield characters including leaf shape, corolla colour, pod formation, plant height, leaf length and stem diameter, varied significantly among accessions, with TPt-6 exhibiting the highest plant height (71.96 cm) and TPt-11 showing the largest stem diameter (1.9 cm). Accessions TPt-19, TPt-6 and TPt-125 exhibited early flowering at 41, 42, and 45 days after planting, respectively, while TPt-6 and TPt-11 showed early pod formation at 54 and 58 days, respectively. Among the three ISSR and SCoT markers tested, UBC-811 (ISSR) and SCoT-3 (SCoT) exhibited the highest polymorphic information content (69.75 %) and gene diversity (0.75), indicating their effectiveness in detecting genetic variation. The accessions were grouped into two major clusters A and B, with TPt-19 and TPt-9 forming a subclade within Cluster B which suggests genetic distinctiveness. These findings highlight TPt-6, TPt-11, TPt-19 and TPt-125 as promising candidates for breeding programs focused on improving early maturity in winged bean.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100416"},"PeriodicalIF":0.0,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yard-long bean (Vigna unguiculata subsp. sesquipedalis) is an important horticultural crop valued for its protein, fiber, vitamins, and minerals. Vegetable agroforestry (VAF), which integrates vegetable cultivation within tree-based systems, offers a sustainable farming strategy but requires genotypes tolerant to shading. This study evaluated physiological traits and stress tolerance indices of seven yard-long bean genotypes under contrasting shading conditions. We hypothesized that chlorophyll dynamics (total content and a/b ratio), carotenoid levels, and nitrate reductase activity would correlate with shade tolerance indices, enabling the identification of genotypes adapted to low-light environments. Physiological assessments showed that total chlorophyll content was generally higher under moderate shading (S1), while the chlorophyll a/b ratio decreased under intense shading (S2), reflecting an increase in chlorophyll-b to enhance light harvesting. Carotenoid responses were genotype-specific, with some genotypes showing higher accumulation under full sunlight, suggesting a role in photoprotection and antioxidant defense. Nitrate reductase activity, influenced by light intensity, indicated variation in nitrogen assimilation and stress resilience. Stress tolerance indices, including Geometric Mean Productivity (GMP), Relative Production (RP), Tolerance Value (TOL), and Stress Tolerance Index (STI), classified genotypic performance under shading. KP-6796-3-4-10 and KP-6796-3-4-7 exhibited the highest GMP and stable yields, while KP-6718-1-1-10 and KP-6796-3-4-7 demonstrated shade tolerance based on RP and STI. Integration of physiological traits with yield-based indices highlighted genotypes with favorable pigment composition and metabolic responses. These results suggest that specific yard-long bean genotypes possess adaptive traits suitable for shaded or intercropped environments, offering insights for agroforestry-oriented breeding programs.
{"title":"Chlorophyll dynamics and stress tolerance assessment of yard-long bean genotypes in response to shading conditions","authors":"Fajrin Pramana Putra, Florentina Kusmiyati, Syaiful Anwar, Muhamad Ghazi Agam Sas","doi":"10.1016/j.egg.2025.100417","DOIUrl":"10.1016/j.egg.2025.100417","url":null,"abstract":"<div><div>Yard-long bean (Vigna unguiculata subsp. sesquipedalis) is an important horticultural crop valued for its protein, fiber, vitamins, and minerals. Vegetable agroforestry (VAF), which integrates vegetable cultivation within tree-based systems, offers a sustainable farming strategy but requires genotypes tolerant to shading. This study evaluated physiological traits and stress tolerance indices of seven yard-long bean genotypes under contrasting shading conditions. We hypothesized that chlorophyll dynamics (total content and a/b ratio), carotenoid levels, and nitrate reductase activity would correlate with shade tolerance indices, enabling the identification of genotypes adapted to low-light environments. Physiological assessments showed that total chlorophyll content was generally higher under moderate shading (S1), while the chlorophyll <em>a</em>/b ratio decreased under intense shading (S2), reflecting an increase in chlorophyll-b to enhance light harvesting. Carotenoid responses were genotype-specific, with some genotypes showing higher accumulation under full sunlight, suggesting a role in photoprotection and antioxidant defense. Nitrate reductase activity, influenced by light intensity, indicated variation in nitrogen assimilation and stress resilience. Stress tolerance indices, including Geometric Mean Productivity (GMP), Relative Production (RP), Tolerance Value (TOL), and Stress Tolerance Index (STI), classified genotypic performance under shading. KP-6796-3-4-10 and KP-6796-3-4-7 exhibited the highest GMP and stable yields, while KP-6718-1-1-10 and KP-6796-3-4-7 demonstrated shade tolerance based on RP and STI. Integration of physiological traits with yield-based indices highlighted genotypes with favorable pigment composition and metabolic responses. These results suggest that specific yard-long bean genotypes possess adaptive traits suitable for shaded or intercropped environments, offering insights for agroforestry-oriented breeding programs.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100417"},"PeriodicalIF":0.0,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-10DOI: 10.1016/j.egg.2025.100413
Prisweta Bhattacharjee , Rajkumari Elizabeth , Sayani Roy , Anupam Das Talukdar , Manabendra Dutta Choudhury , Amitabha Bhattacharjee
This study investigates the prevalence, virulence gene profile, and antibiotic resistance of hypervirulent Klebsiella pneumoniae (hvKp) strains isolated from drainage water near healthcare facilities in Southern Assam. A total of 32 K. pneumoniae isolates were identified, with 19 carrying virulence genes out of which 13 isolates carrying multiple virulence genes, including those responsible for iron acquisition and siderophore biosynthesis. Antibiogram profiling revealed high resistance rates, particularly to norfloxacin (78.94 %), followed by ampicillin (73.68 %) and ciprofloxacin (68.42 %), while imipenem and meropenem retained higher effectiveness, despite some isolates showing resistance. These findings highlight the clinical-environmental reservoirs of multidrug-resistant, hypervirulent K. pneumoniae strains, posing significant challenges for infection control and treatment in healthcare settings.
{"title":"Molecular characterization and antibiogram profiling of hypervirulent Klebsiella pneumoniae isolated from clinical-environmental interface","authors":"Prisweta Bhattacharjee , Rajkumari Elizabeth , Sayani Roy , Anupam Das Talukdar , Manabendra Dutta Choudhury , Amitabha Bhattacharjee","doi":"10.1016/j.egg.2025.100413","DOIUrl":"10.1016/j.egg.2025.100413","url":null,"abstract":"<div><div>This study investigates the prevalence, virulence gene profile, and antibiotic resistance of hypervirulent <em>Klebsiella pneumoniae</em> (hvKp) strains isolated from drainage water near healthcare facilities in Southern Assam. A total of 32 <em>K. pneumoniae</em> isolates were identified, with 19 carrying virulence genes out of which 13 isolates carrying multiple virulence genes, including those responsible for iron acquisition and siderophore biosynthesis. Antibiogram profiling revealed high resistance rates, particularly to norfloxacin (78.94 %), followed by ampicillin (73.68 %) and ciprofloxacin (68.42 %), while imipenem and meropenem retained higher effectiveness, despite some isolates showing resistance. These findings highlight the clinical-environmental reservoirs of multidrug-resistant, hypervirulent <em>K. pneumoniae</em> strains, posing significant challenges for infection control and treatment in healthcare settings.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100413"},"PeriodicalIF":0.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-08DOI: 10.1016/j.egg.2025.100415
A.S. Shaibu, U. Abduljalil, A.B. Yakubu
Sesame (Sesamum indicum L.) is an important oil seed crop mainly grown for its edible seeds. However, several production constraints have limited the yield per unit area in Nigeria among which includes the identification of suitable and stable varieties. To identify high-yielding and stable sesame genotypes for the Nigerian savannas, this study evaluated 15 genotypes across four locations during the 2024 wet season. The objective was to assess stability using parametric, non-parametric, and multi-trait stability index (MTSI) models. Field trials were conducted in a randomized complete block design, and data on key agronomic traits were subjected to combined analysis of variance and AMMI models. Significant differences were observed among the genotypes (G), environments (E) and G × E interaction for all the traits studied, except for the effect of E and GEI on number of capsules per plant. NCRIBEN02M had the highest grain yield (447.76 kg/ha) followed by NCRIBEN04E (424.08 kg/ha). The AMMI ANOVA showed significant (p < 0.01) effects of environment, genotype and GEI on sesame yield. While parametric and AMMI analyses identified NCRIBEN02M as the most stable genotype, the MTSI, which considers multiple traits, ranked Kangarawa as the most ideal. The study recommends NCRIBEN02M for its high yield and broad stability, and Kangarawa for multi-trait stability.
{"title":"Stability analysis of sesame (Sesamum indicum L.) genotypes in the savannas of Nigeria using multi-traits stability index","authors":"A.S. Shaibu, U. Abduljalil, A.B. Yakubu","doi":"10.1016/j.egg.2025.100415","DOIUrl":"10.1016/j.egg.2025.100415","url":null,"abstract":"<div><div>Sesame (<em>Sesamum indicum</em> L.) is an important oil seed crop mainly grown for its edible seeds. However, several production constraints have limited the yield per unit area in Nigeria among which includes the identification of suitable and stable varieties. To identify high-yielding and stable sesame genotypes for the Nigerian savannas, this study evaluated 15 genotypes across four locations during the 2024 wet season. The objective was to assess stability using parametric, non-parametric, and multi-trait stability index (MTSI) models. Field trials were conducted in a randomized complete block design, and data on key agronomic traits were subjected to combined analysis of variance and AMMI models. Significant differences were observed among the genotypes (G), environments (E) and G × E interaction for all the traits studied, except for the effect of E and GEI on number of capsules per plant. NCRIBEN02M had the highest grain yield (447.76 kg/ha) followed by NCRIBEN04E (424.08 kg/ha). The AMMI ANOVA showed significant (p < 0.01) effects of environment, genotype and GEI on sesame yield. While parametric and AMMI analyses identified NCRIBEN02M as the most stable genotype, the MTSI, which considers multiple traits, ranked Kangarawa as the most ideal. The study recommends NCRIBEN02M for its high yield and broad stability, and Kangarawa for multi-trait stability.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100415"},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-06DOI: 10.1016/j.egg.2025.100414
Achmad Zamroni, Muhammad Taufik, Tri Ernawati, Erfind Nurdin, Pratiwi Lestari, Moh Fauzi
This study investigates the genetic architecture and demographic history of two commercial snapper species, Lutjanus erythropterus and Pinjalo pinjalo, in Indonesian waters to fill a knowledge gap regarding the evolutionary responses of co-distributed species within a complex marine landscape. By analyzing 450 base pairs of mitochondrial DNA control region (D-loop) sequences from 29 L. erythropterus and 26 P. pinjalo samples from five locations, this study reveals starkly different genetic patterns. The results show that L. erythropterus possesses very high genetic diversity (Hd = 0.98030; π = 0.01817) and exhibits no significant population structure (Φst = 0.00777; P > 0.05), consistent with a model of a single panmictic population that has undergone a past demographic expansion. Conversely, P. pinjalo exhibits substantially lower genetic diversity (Hd = 0,52615; π = 0,01068) and no signal of expansion, indicating a stable long-term demographic history and potential complex population dynamics. These findings conclude that these two sympatric species exhibit fundamentally different evolutionary trajectories, likely mediated by intrinsic biological differences in responding to the same historical environmental changes. The implications of these findings are highly significant for fisheries management, rejecting a "one-size-fits-all" approach and underscoring the urgent need to develop species-specific management strategies to ensure the sustainability of vital fishery resources in Indonesia.
{"title":"Divergent genetic diversity reveals contrasting demographic histories in two commercially important snappers","authors":"Achmad Zamroni, Muhammad Taufik, Tri Ernawati, Erfind Nurdin, Pratiwi Lestari, Moh Fauzi","doi":"10.1016/j.egg.2025.100414","DOIUrl":"10.1016/j.egg.2025.100414","url":null,"abstract":"<div><div>This study investigates the genetic architecture and demographic history of two commercial snapper species, <em>Lutjanus erythropterus</em> and <em>Pinjalo pinjalo</em>, in Indonesian waters to fill a knowledge gap regarding the evolutionary responses of co-distributed species within a complex marine landscape. By analyzing 450 base pairs of mitochondrial DNA control region (D-loop) sequences from 29 <em>L. erythropterus</em> and 26 <em>P. pinjalo</em> samples from five locations, this study reveals starkly different genetic patterns. The results show that <em>L. erythropterus</em> possesses very high genetic diversity (Hd = 0.98030; π = 0.01817) and exhibits no significant population structure (Φst = 0.00777; P > 0.05), consistent with a model of a single panmictic population that has undergone a past demographic expansion. Conversely, <em>P. pinjalo</em> exhibits substantially lower genetic diversity (Hd = 0,52615; π = 0,01068) and no signal of expansion, indicating a stable long-term demographic history and potential complex population dynamics. These findings conclude that these two sympatric species exhibit fundamentally different evolutionary trajectories, likely mediated by intrinsic biological differences in responding to the same historical environmental changes. The implications of these findings are highly significant for fisheries management, rejecting a \"one-size-fits-all\" approach and underscoring the urgent need to develop species-specific management strategies to ensure the sustainability of vital fishery resources in Indonesia.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100414"},"PeriodicalIF":0.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-03DOI: 10.1016/j.egg.2025.100412
Mohammad Hasan Sadeghi , Rasool Asghari Zakaria , Seyed Abolghasem Mohammadi , Omid Sofalian , Saeid Aharizad
Enhancing drought resilience in wheat is critical for global food security amidst increasing climate variability. We evaluated 60 diverse CIMCOG wheat genotypes under well-watered and water-deficient conditions at two semi-arid locations in Iran, measuring yield components and physiological traits (relative water content, chlorophyll stability). A multivariate analysis of 33 drought tolerance and stability indices identified the Mean Productivity Index (MPI), Stress Tolerance Index (STI), Geometric Mean Productivity (GMP), Mean Productivity (MP), Harmonic Mean (HM), Stress Resistance Score (SRS), and Yield Stability Index (YSI) as the most reliable metrics for selecting high-yielding, drought-adaptable genotypes. Principal component analysis (PCA) and fuzzy membership function values (MFV) validated top performers (genotypes 8, 15, 59, 33, 7, 25, 22, 19, 14, 3), which maintained productivity through sustained physiological performance. This integrated approach provides a robust framework for breeding climate-resilient wheat varieties for water-limited agroecosystems, with potential applications in semi-arid regions globally.
{"title":"An integrated index-based and multivariate approach for evaluating drought resilience in the CIMCOG wheat","authors":"Mohammad Hasan Sadeghi , Rasool Asghari Zakaria , Seyed Abolghasem Mohammadi , Omid Sofalian , Saeid Aharizad","doi":"10.1016/j.egg.2025.100412","DOIUrl":"10.1016/j.egg.2025.100412","url":null,"abstract":"<div><div>Enhancing drought resilience in wheat is critical for global food security amidst increasing climate variability. We evaluated 60 diverse CIMCOG wheat genotypes under well-watered and water-deficient conditions at two semi-arid locations in Iran, measuring yield components and physiological traits (relative water content, chlorophyll stability). A multivariate analysis of 33 drought tolerance and stability indices identified the Mean Productivity Index (MPI), Stress Tolerance Index (STI), Geometric Mean Productivity (GMP), Mean Productivity (MP), Harmonic Mean (HM), Stress Resistance Score (SRS), and Yield Stability Index (YSI) as the most reliable metrics for selecting high-yielding, drought-adaptable genotypes. Principal component analysis (PCA) and fuzzy membership function values (MFV) validated top performers (genotypes 8, 15, 59, 33, 7, 25, 22, 19, 14, 3), which maintained productivity through sustained physiological performance. This integrated approach provides a robust framework for breeding climate-resilient wheat varieties for water-limited agroecosystems, with potential applications in semi-arid regions globally.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100412"},"PeriodicalIF":0.0,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The soil is one of the most important components of Earth and provides the greatest nutrient reservoir to support the diverse groups of microbes due to its heterogeneous nature. Often, pedigree shifts of microbial communities are seen in soil samples due to the influence of biotic and abiotic factors. Apart from the soil, organic matter is the main driver of acquiring new traits as well as physiological adaptability in microbes. Therefore, it encourages us to make a clear understanding of microbes and their functions from diverse habitats of soil. As is well known, the inhabiting microbes play a crucial role in biogeochemical cycles, plant growth promotion (PGP), bioremediation, and several other interactions. However, we have limited knowledge about the hidden microbial potential that is continuously at work inside the soil system, due to a lack of precise methods for total microbe identification and functional annotation. Omics approaches alone are insufficient to reveal real-time functional information due to several limitations. However, due to the emergence of meta-omics approaches, it is now possible to unlock the complete functioning of soil. In contrast, we can explore multiple facts at a time by minimizing barriers associated with molecular soil microbiology. So far, critical analysis of soil microbes has yielded unique findings, as well as insights into microbial strength, inter- and intra-dependent mechanisms, pathways, and novel biomolecules with industrial applications. This review can provide valuable insights into soil microbial functioning and challenges.
{"title":"Soil meta-omics: Current status, challenges, and applications","authors":"Vivek Kumar , Durgesh Kumar Jaiswal , Pramod Kumar Sahu , Rajan Chaurasia , Shraddha Kasoundhan , Ayushi Patel , Digvijay Verma","doi":"10.1016/j.egg.2025.100411","DOIUrl":"10.1016/j.egg.2025.100411","url":null,"abstract":"<div><div>The soil is one of the most important components of Earth and provides the greatest nutrient reservoir to support the diverse groups of microbes due to its heterogeneous nature. Often, pedigree shifts of microbial communities are seen in soil samples due to the influence of biotic and abiotic factors. Apart from the soil, organic matter is the main driver of acquiring new traits as well as physiological adaptability in microbes. Therefore, it encourages us to make a clear understanding of microbes and their functions from diverse habitats of soil. As is well known, the inhabiting microbes play a crucial role in biogeochemical cycles, plant growth promotion (PGP), bioremediation, and several other interactions. However, we have limited knowledge about the hidden microbial potential that is continuously at work inside the soil system, due to a lack of precise methods for total microbe identification and functional annotation. Omics approaches alone are insufficient to reveal real-time functional information due to several limitations. However, due to the emergence of meta-omics approaches, it is now possible to unlock the complete functioning of soil. In contrast, we can explore multiple facts at a time by minimizing barriers associated with molecular soil microbiology. So far, critical analysis of soil microbes has yielded unique findings, as well as insights into microbial strength, inter- and intra-dependent mechanisms, pathways, and novel biomolecules with industrial applications. This review can provide valuable insights into soil microbial functioning and challenges.</div></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"37 ","pages":"Article 100411"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}