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Article ; Online: Algal deterioration of PET (polyethylene terephthalate) plastic bottle in combination with physical and chemical pretreatments

Sabiha Sarwar / Shaibur Rahman Molla / Shilpi Das / Lamia Tammim / Fee Faysal Ahmed / Selina Akter

Environmental and Sustainability Indicators, Vol 21, Iss , Pp 100329- (2024)

A macrocosm study

2024

Abstract: Plastic pollution has become an environmental issue worldwide because of its slow degradation and persistent nature. Many traditional methods exist and are practiced here to handle and reuse plastic waste, but those need to be more capable of tackling ... ...

Abstract	Plastic pollution has become an environmental issue worldwide because of its slow degradation and persistent nature. Many traditional methods exist and are practiced here to handle and reuse plastic waste, but those need to be more capable of tackling increasing waste volume. Biological plastic waste management could be a sustainable way to ensure environmental quality. Therefore, this study aimed to screen the bio-deterioration of PET wastes using physical and chemical pretreatments. We kept PET samples in freshwater and marine water media designed to support algal growth and incubated those under direct or indirect sunlight or in dark conditions. We observed algal growth and measured deterioration of PET samples using the tensile strength test, FTIR, and viewed surface properties using FESEM. Acid pretreatment and exposure to direct sunlight left the PET most fragile. FTIR analysis also supported the observation, and changes in functional groups are evident. Heat pretreatment usually reduces the volume and thus increases strength. Bottles incubated under direct or indirect sunlight supported the algal growth. The most prevalent algal species found in freshwater environments include Volvox, Chlorella vulgaris, Craticula cuspidate, Navicula pupula, Synedra ulna, and marine environments include Palisada perforate, Ulva flexuosa, Cladoptera herpestica, and Blindingia minima. Algal growth increases the porosity and surface cracks of PET bottles. Though FTIR analysis did not show any change in functional groups, except for acid pretreatment, upon algal growth, the transmittance increase indicated decay of PET samples.
Keywords	Plastic pollution ; PET waste ; Biodeterioration ; Photo deterioration ; Electron microscopy ; Algae ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2024-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genome-wide identification of DCL, AGO and RDR gene families and their associated functional regulatory element analyses in sunflower (Helianthus annuus).

Anamika Podder / Fee Faysal Ahmed / Md Zahid Hasan Suman / Afsana Yeasmin Mim / Khadiza Hasan

PLoS ONE, Vol 18, Iss 6, p e

2023 Volume 0286994

Abstract: RNA interference (RNAi) regulates a variety of eukaryotic gene expressions that are engaged in response to stress, growth, and the conservation of genomic stability during developmental phases. It is also intimately connected to the post-transcriptional ... ...

Abstract	RNA interference (RNAi) regulates a variety of eukaryotic gene expressions that are engaged in response to stress, growth, and the conservation of genomic stability during developmental phases. It is also intimately connected to the post-transcriptional gene silencing (PTGS) process and chromatin modification levels. The entire process of RNA interference (RNAi) pathway gene families mediates RNA silencing. The main factors of RNA silencing are the Dicer-Like (DCL), Argonaute (AGO), and RNA-dependent RNA polymerase (RDR) gene families. To the best of our knowledge, genome-wide identification of RNAi gene families like DCL, AGO, and RDR in sunflower (Helianthus annuus) has not yet been studied despite being discovered in some species. So, the goal of this study is to find the RNAi gene families like DCL, AGO, and RDR in sunflower based on bioinformatics approaches. Therefore, we accomplished an inclusive in silico investigation for genome-wide identification of RNAi pathway gene families DCL, AGO, and RDR through bioinformatics approaches such as (sequence homogeneity, phylogenetic relationship, gene structure, chromosomal localization, PPIs, GO, sub-cellular localization). In this study, we have identified five DCL (HaDCLs), fifteen AGO (HaAGOs), and ten RDR (HaRDRs) in the sunflower genome database corresponding to the RNAi genes of model plant Arabidopsis thaliana based on genome-wide analysis and a phylogenetic method. The analysis of the gene structure that contains exon-intron numbers, conserved domain, and motif composition analyses for all HaDCL, HaAGO, and HaRDR gene families indicated almost homogeneity among the same gene family. The protein-protein interaction (PPI) network analysis illustrated that there exists interconnection among identified three gene families. The analysis of the Gene Ontology (GO) enrichment showed that the detected genes directly contribute to the RNA gene-silencing and were involved in crucial pathways. It was observed that the cis-acting regulatory components connected to the ...
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Knowledge, attitude, and practices toward food safety among students in Bangladesh

Md Taif Ali / Sultan Mahmud / Md Mohsin / Ashraf Uddin Mian / Ariful Islam / Fee Faysal Ahmed

Heliyon, Vol 9, Iss 4, Pp e14762- (2023)

A cross-sectional web-based study

2023

Abstract: Background: Foodborne diseases are a preventable but under-reported public health issue. These illnesses are a public health concern and contribute significantly to healthcare costs. People must understand how their knowledge, attitudes, and practices ... ...

Abstract	Background: Foodborne diseases are a preventable but under-reported public health issue. These illnesses are a public health concern and contribute significantly to healthcare costs. People must understand how their knowledge, attitudes, and practices affect food safety and how they can reduce the risk of foodborne illness. This study aimed at investigating the current situation of knowledge, attitudes, and practices toward food safety among Bangladeshi students and identifying the determinants of having adequate knowledge, favorable attitudes, and good practices. Methods: The research is based on a cross-sectional anonymous online survey that took place from January 1st to February 15th, 2022. Participants in this survey had to be at least 8th-grade students enrolled in Bangladeshi institutions. Upon description of the study's aim, the questionnaire's concept, assurances regarding respondents' confidentiality, and the study's voluntary nature, informed consent was taken from each participant before starting the survey. Descriptive statistics, Chi-square test, and logistic regression were used to explore the knowledge, attitudes, and practices of students and identify factors affecting them using the statistical software STATA. Results: A total of 777 students participated in the study, the majority of them were male (63.96%) and aged between 18 and 25 years (60%). Almost half of the respondents were at the undergraduate level and less than half of the participants (45%) lived with their families. Among the participants, around 47% had adequate knowledge, 87% had favorable attitudes, and only 52% had good practices toward food safety. Female students, students having a food safety course/training, and students whose mothers were educated had significantly higher knowledge of food safety. Besides, students at higher education levels, students having a food safety course/training, and students with educated mothers displayed significantly higher odds of possessing favorable attitudes toward food safety. Similarly, ...
Keywords	Food safety ; Foodborne diseases ; Knowledge ; Attitudes ; Practices ; Students ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	420
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genome-wide identification, classification, and characterization of lectin gene superfamily in sweet orange (Citrus sinensis L.).

Fee Faysal Ahmed / Farah Sumaiya Dola / Fatema Tuz Zohra / Shaikh Mizanur Rahman / Jesmin Naher Konak / Md Abdur Rauf Sarkar

PLoS ONE, Vol 18, Iss 11, p e

2023 Volume 0294233

Abstract: Lectins are sugar-binding proteins found abundantly in plants. Lectin superfamily members have diverse roles, including plant growth, development, cellular processes, stress responses, and defense against microbes. However, the genome-wide identification ...

Abstract	Lectins are sugar-binding proteins found abundantly in plants. Lectin superfamily members have diverse roles, including plant growth, development, cellular processes, stress responses, and defense against microbes. However, the genome-wide identification and functional analysis of lectin genes in sweet orange (Citrus sinensis L.) remain unexplored. Therefore, we used integrated bioinformatics approaches (IBA) for in-depth genome-wide identification, characterization, and regulatory factor analysis of sweet orange lectin genes. Through genome-wide comparative analysis, we identified a total of 141 lectin genes distributed across 10 distinct gene families such as 68 CsB-Lectin, 13 CsLysin Motif (LysM), 4 CsChitin-Bind1, 1 CsLec-C, 3 CsGal-B, 1 CsCalreticulin, 3 CsJacalin, 13 CsPhloem, 11 CsGal-Lec, and 24 CsLectinlegB.This classification relied on characteristic domain and phylogenetic analysis, showing significant homology with Arabidopsis thaliana's lectin gene families. A thorough analysis unveiled common similarities within specific groups and notable variations across different protein groups. Gene Ontology (GO) enrichment analysis highlighted the predicted genes' roles in diverse cellular components, metabolic processes, and stress-related regulation. Additionally, network analysis of lectin genes with transcription factors (TFs) identified pivotal regulators like ERF, MYB, NAC, WRKY, bHLH, bZIP, and TCP. The cis-acting regulatory elements (CAREs) found in sweet orange lectin genes showed their roles in crucial pathways, including light-responsive (LR), stress-responsive (SR), hormone-responsive (HR), and more. These findings will aid in the in-depth molecular examination of these potential genes and their regulatory elements, contributing to targeted enhancements of sweet orange species in breeding programs.
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches

Fee Faysal Ahmed / Arnob Dip Das / Mst. Joynab Sumi / Md. Zohurul Islam / Md. Shahedur Rahman / Md. Harun Rashid / Salem A. Alyami / Naif Alotaibi / A. K. M. Azad / Mohammad Ali Moni

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 14

Abstract: Abstract Respiratory diseases (RD) are significant public health burdens and malignant diseases worldwide. However, the RD-related biological information and interconnection still need to be better understood. Thus, this study aims to detect common ... ...

Abstract	Abstract Respiratory diseases (RD) are significant public health burdens and malignant diseases worldwide. However, the RD-related biological information and interconnection still need to be better understood. Thus, this study aims to detect common differential genes and potential hub genes (HubGs), emphasizing their actions, signaling pathways, regulatory biomarkers for diagnosing RD and candidate drugs for treating RD. In this paper we used integrated bioinformatics approaches (such as, gene ontology (GO) and KEGG pathway enrichment analysis, molecular docking, molecular dynamic simulation and network-based molecular interaction analysis). We discovered 73 common DEGs (CDEGs) and ten HubGs (ATAD2B, PPP1CB, FOXO1, AKT3, BCR, PDE4D, ITGB1, PCBP2, CD44 and SMARCA2). Several significant functions and signaling pathways were strongly related to RD. We recognized six transcription factor (TF) proteins (FOXC1, GATA2, FOXL1, YY1, POU2F2 and HINFP) and five microRNAs (hsa-mir-218-5p, hsa-mir-335-5p, hsa-mir-16-5p, hsa-mir-106b-5p and hsa-mir-15b-5p) as the important transcription and post-transcription regulators of RD. Ten HubGs and six major TF proteins were considered drug-specific receptors. Their binding energy analysis study was carried out with the 63 drug agents detected from network analysis. Finally, the five complexes (the PDE4D-benzo[a]pyrene, SMARCA2-benzo[a]pyrene, HINFP-benzo[a]pyrene, CD44-ketotifen and ATAD2B-ponatinib) were selected for RD based on their strong binding affinity scores and stable performance as the most probable repurposable protein-drug complexes. We believe our findings will give readers, wet-lab scientists, and pharmaceuticals a thorough grasp of the biology behind RD.
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genome-wide identification of DCL, AGO and RDR gene families and their associated functional regulatory elements analyses in banana (Musa acuminata).

Fee Faysal Ahmed / Md Imran Hossen / Md Abdur Rauf Sarkar / Jesmin Naher Konak / Fatema Tuz Zohra / Md Shoyeb / Samiran Mondal

PLoS ONE, Vol 16, Iss 9, p e

2021 Volume 0256873

Abstract: RNA silencing is mediated through RNA interference (RNAi) pathway gene families, i.e., Dicer-Like (DCL), Argonaute (AGO), and RNA-dependent RNA polymerase (RDR) and their cis-acting regulatory elements. The RNAi pathway is also directly connected with ... ...

Abstract	RNA silencing is mediated through RNA interference (RNAi) pathway gene families, i.e., Dicer-Like (DCL), Argonaute (AGO), and RNA-dependent RNA polymerase (RDR) and their cis-acting regulatory elements. The RNAi pathway is also directly connected with the post-transcriptional gene silencing (PTGS) mechanism, and the pathway controls eukaryotic gene regulation during growth, development, and stress response. Nevertheless, genome-wide identification of RNAi pathway gene families such as DCL, AGO, and RDR and their regulatory network analyses related to transcription factors have not been studied in many fruit crop species, including banana (Musa acuminata). In this study, we studied in silico genome-wide identification and characterization of DCL, AGO, and RDR genes in bananas thoroughly via integrated bioinformatics approaches. A genome-wide analysis identified 3 MaDCL, 13 MaAGO, and 5 MaRDR candidate genes based on multiple sequence alignment and phylogenetic tree related to the RNAi pathway in banana genomes. These genes correspond to the Arabidopsis thaliana RNAi silencing genes. The analysis of the conserved domain, motif, and gene structure (exon-intron numbers) for MaDCL, MaAGO, and MaRDR genes showed higher homogeneity within the same gene family. The Gene Ontology (GO) enrichment analysis exhibited that the identified RNAi genes could be involved in RNA silencing and associated metabolic pathways. A number of important transcription factors (TFs), e.g., ERF, Dof, C2H2, TCP, GATA and MIKC_MADS families, were identified by network and sub-network analyses between TFs and candidate RNAi gene families. Furthermore, the cis-acting regulatory elements related to light-responsive (LR), stress-responsive (SR), hormone-responsive (HR), and other activities (OT) functions were identified in candidate MaDCL, MaAGO, and MaRDR genes. These genome-wide analyses of these RNAi gene families provide valuable information related to RNA silencing, which would shed light on further characterization of RNAi genes, their ...
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessing the exploitation status of main catfish Eutropiichthys vacha based on length based stock assessment models in the Kaptai Lake from Bangladesh

Md. Abul Bashar / Md. Ataur Rahman / Kazi Belal Uddin / Fee Faysal Ahmed / Yahia Mahmud / Md. Yeamin Hossain

Heliyon, Vol 7, Iss 9, Pp e08046- (2021)

2021

Abstract: The current study focuses on the detailed data on stock assessments including population structure, growth parameters, mortality, recruitment pattern, exploitation rate (E), maximum sustainable yield (MSY) and relative yield per-recruit of Eutropiichthys ...

Abstract	The current study focuses on the detailed data on stock assessments including population structure, growth parameters, mortality, recruitment pattern, exploitation rate (E), maximum sustainable yield (MSY) and relative yield per-recruit of Eutropiichthys vacha (Hamilton, 1822) based on 2512 specimens through regular monthly sampling using gill net, cast net, and square lift net in the Kaptai Lake, located in the hilly region of Bangladesh during January to December 2017. Total length (TL) and body weight (BW) were measured using digital slide calipers and electronic balance with 0.01 cm and 0.01g accuracy for each individual. The asymptotic length (L∞) was 44.40 cm and growth coefficient (K) was 0.70 year−1. The growth performance index (Ø′) was 3.14. The age at zero length (t0) was 0.027 year and life-span (tmax) was 2.73 year. We estimated total mortality (Z), natural mortality (M) and fishing mortality (F) as 4.23, 1.27 and 2.96 year−1, respectively. The recruitment pattern was throughout the year with two pick-events during May and September. Length at first capture (Lc) was 20.65 cm TL. The E was 0.70 where the Emax (exploitation rate producing maximum yield) was 0.45 which indicates 25% over fishing. The MSY was estimated as 34257 metric ton. In conclusion, the results of this study would be very operative to execute specific management for E. vacha in Kaptai Lake, Hilly region of Bangladesh.
Keywords	Stock assessments ; Exploitation ; Eutropiichthys vacha ; Kaptai lake ; Bangladesh ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	333
Language	English
Publishing date	2021-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug repurposing

Md. Parvez Mosharaf / Md. Selim Reza / Md. Kaderi Kibria / Fee Faysal Ahmed / Md. Hadiul Kabir / Sohel Hasan / Md. Nurul Haque Mollah

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 22

Abstract: Abstract The pandemic threat of COVID-19 has severely destroyed human life as well as the economy around the world. Although, the vaccination has reduced the outspread, but people are still suffering due to the unstable RNA sequence patterns of SARS-CoV- ... ...

Abstract	Abstract The pandemic threat of COVID-19 has severely destroyed human life as well as the economy around the world. Although, the vaccination has reduced the outspread, but people are still suffering due to the unstable RNA sequence patterns of SARS-CoV-2 which demands supplementary drugs. To explore novel drug target proteins, in this study, a transcriptomics RNA-Seq data generated from SARS-CoV-2 infection and control samples were analyzed. We identified 109 differentially expressed genes (DEGs) that were utilized to identify 10 hub-genes/proteins (TLR2, USP53, GUCY1A2, SNRPD2, NEDD9, IGF2, CXCL2, KLF6, PAG1 and ZFP36) by the protein–protein interaction (PPI) network analysis. The GO functional and KEGG pathway enrichment analyses of hub-DEGs revealed some important functions and signaling pathways that are significantly associated with SARS-CoV-2 infections. The interaction network analysis identified 5 TFs proteins and 6 miRNAs as the key regulators of hub-DEGs. Considering 10 hub-proteins and 5 key TFs-proteins as drug target receptors, we performed their docking analysis with the SARS-CoV-2 3CL protease-guided top listed 90 FDA approved drugs. We found Torin-2, Rapamycin, Radotinib, Ivermectin, Thiostrepton, Tacrolimus and Daclatasvir as the top ranked seven candidate drugs. We investigated their resistance performance against the already published COVID-19 causing top-ranked 11 independent and 8 protonated receptor proteins by molecular docking analysis and found their strong binding affinities, which indicates that the proposed drugs are effective against the state-of-the-arts alternatives independent receptor proteins also. Finally, we investigated the stability of top three drugs (Torin-2, Rapamycin and Radotinib) by using 100 ns MD-based MM-PBSA simulations with the two top-ranked proposed receptors (TLR2, USP53) and independent receptors (IRF7, STAT1), and observed their stable performance. Therefore, the proposed drugs might play a vital role for the treatment against different variants of ...
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of host transcriptome-guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated bioinformatics approaches.

Fee Faysal Ahmed / Md Selim Reza / Md Shahin Sarker / Md Samiul Islam / Md Parvez Mosharaf / Sohel Hasan / Md Nurul Haque Mollah

PLoS ONE, Vol 17, Iss 4, p e

2022 Volume 0266124

Abstract: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is one of the most severe global pandemic due to its high pathogenicity and death rate starting from the end of 2019. Though there are some vaccines available against SAER-CoV-2 infections, we ... ...

Abstract	Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is one of the most severe global pandemic due to its high pathogenicity and death rate starting from the end of 2019. Though there are some vaccines available against SAER-CoV-2 infections, we are worried about their effectiveness, due to its unstable sequence patterns. Therefore, beside vaccines, globally effective supporting drugs are also required for the treatment against SARS-CoV-2 infection. To explore commonly effective repurposable drugs for the treatment against different variants of coronavirus infections, in this article, an attempt was made to explore host genomic biomarkers guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated bioinformatics approaches. At first, we identified 138 differentially expressed genes (DEGs) between SARS-CoV-1 infected and control samples by analyzing high throughput gene-expression profiles to select drug target key receptors. Then we identified top-ranked 11 key DEGs (SMAD4, GSK3B, SIRT1, ATM, RIPK1, PRKACB, MED17, CCT2, BIRC3, ETS1 and TXN) as hub genes (HubGs) by protein-protein interaction (PPI) network analysis of DEGs highlighting their functions, pathways, regulators and linkage with other disease risks that may influence SARS-CoV-1 infections. The DEGs-set enrichment analysis significantly detected some crucial biological processes (immune response, regulation of angiogenesis, apoptotic process, cytokine production and programmed cell death, response to hypoxia and oxidative stress), molecular functions (transcription factor binding and oxidoreductase activity) and pathways (transcriptional mis-regulation in cancer, pathways in cancer, chemokine signaling pathway) that are associated with SARS-CoV-1 infections as well as SARS-CoV-2 infections by involving HubGs. The gene regulatory network (GRN) analysis detected some transcription factors (FOXC1, GATA2, YY1, FOXL1, TP53 and SRF) and micro-RNAs (hsa-mir-92a-3p, hsa-mir-155-5p, ...
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Stock Structure Analysis of the Endangered Queen Loach, Botia dario (Hamilton 1822) from Five Rivers of Northern Bangladesh by Using Morphometrics

Md Sarower Mahfuj / Fee Faysal Ahmed / Md Firoj Hossain / Sk Injamamul Islam / Md Jakiul Islam / Md Ashraful Alam / Imran Hoshan / Zubyda Mushtari Nadia

Fishes, Vol 7, Iss 41, p

Implications for Conservation

2022 Volume 41

Abstract: Identifying stock is key to sustainable fisheries management and conservation. Using traditional morphometrics (TMR) and image-based truss network analysis (ITNA), we evaluated the stock structure of the endangered queen loach, Botia dario . The study ... ...

Abstract	Identifying stock is key to sustainable fisheries management and conservation. Using traditional morphometrics (TMR) and image-based truss network analysis (ITNA), we evaluated the stock structure of the endangered queen loach, Botia dario . The study was carried out in the following five stocks in Bangladesh’s northern rivers: the Atrai, Dhorala, Danu, Jamuna, and Padma. The inventory regarding stock structure was investigated using a total of nine traditional morphometrics, 11 ratios, and 23 truss measurements for each individual. To generate 23 ITNA, 12 landmarks were used. To assess variations among the stocks, a principal component analysis (PCA), factor analysis (FA), canonical variate analysis (CVA), and cluster analysis (CA) were performed. Six principal components explained 91.50% of the variation in TMR, while seven principal components explained 73.425% of the variation in ITNA. CVA, using traditional methods and ratios were correctly classified as 65.0%, 42.0%, 64.2%, 89.3%, and 77.5% for Danu, Padma, Jamuna, Dhorala, and Atrai River stocks, respectively, based on original grouped classes. CVA using ITNA was correctly classified as 90.0%, 80.0%, 77.4%, 94.6%, and 98.6% for Danu, Padma, Jamuna, Dhorala, and Atrai River stocks, respectively, based on original grouped classes. CVA analysis based on TMR and ITNA showed that cannonical variates (CV1 to CV3) are related to the whole-body shape. Both TMR and ITNA formed two clusters. In the first cluster, the Jamuna and Atrai River stocks combinedly formed a separate stock based on (TMR). In ITNA, the Dhorala and Atrai River formed as separate stocks from the other four stocks. According to this study, combining TMR and ITNA analysis aids in the differentiation of various B. dario stocks. The stock separation of this species was supposed to be geographic disconnection, waterway nature, and temperature variations. The B. dario stocks are heavily exploited and the species is an ideal nominee for species variation to boost the aquaculture yield. Within-stock ...
Keywords	landmark ; truss ; Botia dario ; morphometric variations ; rivers ; Bangladesh ; Biology (General) ; QH301-705.5 ; Genetics ; QH426-470
Subject code	333
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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