42 research outputs found

    An updated checklist of polychaetes (Animalia, Annelida, Polychaeta) from Odisha and West Bengal coasts

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    The present checklist of polychaetes from the Odisha and West Bengal coasts was reviewed based on the recent surveys and published literature. Total 179 species belonging to 119 genera were found to be mixed with valid names and hence a revised checklist is prepared. The revised and updated checklist holds 179 species of eight orders of polychaete fauna comprising of Polyllodocida (47 %), Eunicida (14 %), Spionida (11 %), Sabellida (9 %), Terebellida (8 %), Captillida (7 %), Amphinomida (3 %) and Scoleisida (1 %) placed under 36 families. The current literature includes checklists and distributional records of phylum Annelida from Odisha and West Bengal, subsequent validation of species names arranged alphabetically, providing a valid scientific name, synonyms, and authorities of the species, and also the date of published records with the World Register of Marine Species (WoRMS) and World Polychaeta database

    New host records for Nerocila depressa Milne Edwards, 1840 (Crustacea, Isopoda, Cymothoidae) from Digha coast, Bay of Bengal, India

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    698-702Nerocila is a large genus in Cymothoidae. The Cymothoidae are ectoparasitic isopods of marine, freshwater, or brackish-water teleost fishes. A new host of Nerocila depressa was identified from the two different body areas such as the upper pectoral fin and between pectoral and pelvic fin of the host fishes of a Lepturacanthus pantului and Lagocephalus lunaris, from Digha coast, Bay of Bengal, India

    Mutualistic interactions of polychaete, barnacles, mollusca and sea anemone with hermit crab

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    286-287This corresponding report gives a preliminary description of several most typical symbiotic communities formed in association with large subtidal hermit crabs in the Bay of Bengal coastal waters of the West Bengal, India. The mutualistic interactions of different animals with hermit crabs is presented. Localization on the host and possible competitive relationships with other symbionts are described for the number of model species of macrosymbionts

    INFLUENCE OF FERTILIZER AND WEED MANAGEMENT ON YIELD AND NUTRIENT UPTAKE IN ONION (Allium cepa L.)

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    A field experiment was conducted to find out appropriate nutrient and weed management practices for yield maximization and nutrient uptake of onion during rabi 2018-19 at the experimental plot of Regional Research and Technology Transfer Station, Keonjhar of Odisha. The experiment was laid out in Split plot technique with fifteen treatments viz., Main plot belongs to Nutrient management (N) with treatments i.e. N1- Soil test based fertilizer recommendation (STBFR), N2 - 50% STBFR + FYM (Based on N requirement), N3-STBFR + Sulphur), while Subplots belongs to weed management (W) with treatments viz., W1- Pendimethalin (PE) @ 0.8 Lha-1, W2- Oxyflurofen (PE) @ 0.2 Lha-1, W3- Pendimethalin (PE) @ 0.8 Lha-1+ one hand weeding at 25 days after transplanting(DAT), W4-Oxyflurofen (PE) @ 0.2 Lha-1+ one hand weeding at 25 days after transplanting(DAT), W5- one hand weeding at 25 days after transplanting (DAT). The highest onion bulb yield of 16.72 t ha-1 was obtained under the treatment applied with Pendimethalin (PE) @ 0.8 Lha-1 along with one hand weeding at 25 DAT, followed by Oxyfluorfen 0.2Lha-1pre-emergence + 1 hand weeding at 25 DAT (15. 88 t ha-1). The treatment combination of N2W3 (96.83, 16.80, 57.73 kg ha-1) was recorded the highest N, P, and K uptake by crops respectively while N3W3 (51.39 kg ha-1) was recorded as the highest S uptake by a crop over the rest of the treatments

    First report of three eel species (Order: Anguilliformes) from Andhra Pradesh coast, India

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    419-422Three eel species collected from the thrown out trashes from Visakhapatnam fishing harbour and were subsequently identified as Gymnothorax prolatus, Strophidon dorsalis and Neenchelys cheni are reported here for the first time from the Andhra Pradesh coast. The present report extends the range of all these three species southwards to Andhra Pradesh coast from the northern parts of the east coast of India

    Range extension of Filifusus manuelae (Bozzetti, 2008) (Neogastropoda: Fasciolariidae) to Indian waters

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    The present paper documented the first report of Filifusus manuelae (Bozzetti, 2008) from the Indian waters. Also, this is the second report from the Indian Ocean apart from its type locality, Madagascar. Two empty shells were collected from the Mandapam group of Islands, Gulf of Mannar

    BOVINE PLASMA FIBRINOGEN AS MARKER IN CLINICAL AND SUB-CLINICAL MASTITIS

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    Plasma samples were collected from healthy as well as clinical and sub-clinical mastitis affected cows from Barasat, West Bengal, India. Plasma samples, after ammonium sulphate precipitation, were dialyzed against several changes of PBS (pH 7.2) to remove the excess ammonium sulphate. Then plasma fibrinogens were purified by gel filtration chromatography on Sephacryl S-200 HR. SDS-PAGE (10%) of purified fibrinogen from plasma of healthy cow revealed polypeptide bands of 74, 67 and 57 kDa which represent the α (alpha), β (beta) and γ (gamma)- chains respectively. On the other hand, purified fibrinogen from plasma of sub-clinical and clinical mastitis affected cow revealed polypeptide bands of 73 (α-chain), 68 kDa (β-chain) and 72 (γ-chain), 68 kDa (β-chain) respectively. The SDS-PAGE analysis showed the absence of gamma (γ)- chain of fibrinogen in both the samples of sub-clinical and clinical mastitis positive cow. Single precipitin line was observed in double immunodiffusion test when purified fibrinogen from healthy, clinical and subclinical mastitis positive cows reacted with hyper immune sera raised in rabbit. No precipitin line was found against the normal control serum. These purified fibrinogens also showed cross reactivity against antibody raised in rabbit when analyzed by western blot technique

    Meta-analysis of HNF1A-MODY3 variants among human population

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    BACKGROUND : Previously, numerous case-control studies have highlighted variants responsible for Maturity onset diabetes of young (MODY). However, these studies have been conducted among diverse populations and hence yielded contradictory results. We, therefore, performed a meta-analysis to precisely find the association of SNPs with the disease for the HNF1A gene. OBJECTIVE : Meta-analysis of clinically defined studies deciphering mutations in the HNF1A gene responsible for the development of MODY3 was conducted among various populations to determine associations using statistical approaches. METHODS : The curation of 505 research articles published between the years 2000–2021 was carried out. Visualization of data-related protocols and statistical-analysis were conducted, which led to the identification of highly prevalent mutations among different populations (majorly Europe). Further comparison between the frequencies of the control (healthy population) and test (diseased population) dataset generated through curation was performed. RESULTS : We identified nine MODY3 mutations (rs587776825, rs1169288, rs1800574, rs2464196, rs137853244, rs137853238, rs587780357, rs137853240 and rs137853243) at the genome-wide significance level ( p < 5.0 × 10−8). The present study confirmed that the data does not follow a normal distribution. Further, the data was confirmed to be a more homogenous type with frequencies having a significant association with the disease. CONCLUSION : This meta-analysis found significant associations of mutations in HNF1A with MODY3, consistent with previous studies. Our findings should help elucidate the mutations in a compiled form responsible for causing MODY3.https://link.springer.com/journal/40200hj2023Consumer ScienceFood Scienc

    Neurodevelopmental disorders in children aged 2-9 years: Population-based burden estimates across five regions in India.

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    BACKGROUND: Neurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden. METHODS AND FINDINGS: We assessed 3,964 children (with almost equal number of boys and girls distributed in 2-<6 and 6-9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6-9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2-<6 year olds ranged from 2.9% (95% CI 1.6-5.5) to 18.7% (95% CI 14.7-23.6), and for any of nine NDDs in the 6-9-year-old children, from 6.5% (95% CI 4.6-9.1) to 18.5% (95% CI 15.3-22.3). Two or more NDDs were present in 0.4% (95% CI 0.1-1.7) to 4.3% (95% CI 2.2-8.2) in the younger age category and 0.7% (95% CI 0.2-2.0) to 5.3% (95% CI 3.3-8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5-11.2) and 13.6% (95% CI 11.3-16.2) in children of 2-<6 and 6-9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6-9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population. CONCLUSIONS: The study identifies NDDs in children aged 2-9 years as a significant public health burden for India. HI was higher than and ASD prevalence comparable to the published global literature. Most risk factors of NDDs were modifiable and amenable to public health interventions
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