153 research outputs found

    Description of Enchodorus yeatsi n. sp. (Dorylaimida, Nordiidae) from Southern Iran and Its Molecular Phylogenetic Study

    Get PDF
    Enchodorus yeatsi n. sp., a new species of the rare genus Enchodorus is described and illustrated based on its morphological and molecular characters. It was recovered from southern Iran. Females of the new species are characterized by having 1,511.3- to 1,792.5-mm long slender body, angular lip region having prominent papillae, 12- to 13-mm long odontostyle, double guiding ring, simple rod-like odontophore, didelphic–amphidelphic reproductive system, and 102- to 160-mm long elongate-conoid tail with rounded tip. Males of the new species are abundant and functional, characterized by 1,484- to 1,576-mm long body, 40- to 43-mm long spicules, 5 to 6 ventromedian supplements, and ventrally bent elongate conical tail. Compared to the type species, Enchodorus dolichurus, the new species has differences in its tail morphology and V value. These morphological differences and the separation of two species was further supported with basic differences in sequences of 28S rDNA D2/D3 and internal transcribed spacer 1 (ITS1) fragments. Compared to Enchodorus neodolichurus, it has basic differences in tail characters and spicule lengths. Molecular phylogenetic studies using partial sequences of 28S rDNA D2/D3 fragment of the new species and available sequences of Nordiidae members and several other dorylaim species/genera, revealed E. yeatsi n. sp. and E. dolichurus forming a clade with 0.81 Bayesian posterior probability (BPP). This clade forms a sister clade to the clade of Heterodorus sp. and Rhyssocolpus vinciguerrae, again with 0.81 BPP. In ITS1 tree, reconstructed using few available sequences, the new species and E. dolichurus formed a clade with 0.98 BPP

    A New Species of the Rare Genus Anguillonema Fuchs, 1938 (Nematoda: Hexatylina, Sphaerularioidea) with Its Molecular Phylogenetic Study

    Get PDF
    Abstract: Anguillonema amolensis n. sp. is described and illustrated based on its morphological, morphometric, and molecular characters. The new species is characterized by its 575 to 820 mm long and wide body (body width at vulva = 30 to 59 mm), irregularly ventrally curved after fixation, five to six lines in lateral fields, 6.0 to 7.5 mm long stylet with small rounded knobs, pharynx lacking median bulb, pharyngo-intestinal junction anterior to nerve ring and excretory pore, females with monodelphic-prodelphic reproductive system, 15 to 19 mm long conical tail with broad rounded tip, and males absent. The new species is compared with two known species of the genus, Anguillonema poligraphi and A. crenati. Molecular phylogenetic studies of the new species using partial sequences of small subunit (SSU) rDNA revealed that it forms a clade with an unidentified nematode species and two species of the genus Howardula. In phylogenetic analyses using partial sequences of the 28S rDNA (D2-D3 segment), the new species formed a monophyletic group with species belonging to two genera Howardula and Parasitylenchus

    Data on Some Species of the Genus Coslenchus Siddiqi, 1978 (Rhabditida, Tylenchidae) from Iran

    Get PDF
    Data on five known species of the genus Coslenchus are provided. Morphological and morphometric data are given for all studied species. Three of the recovered species were also characterized by molecular phylogenetic data. The species C. leiocephalus was studied for the first time since its original description. Males of the species, C. franklinae and C. oligogyrus were described for the first time and the species C. oligogyrus was reported from Iran for the first time. In molecular phylogenetic studies based on partial sequences of 28S rDNA D2/D3 fragments, all species formed a clade with high Bayesian posterior probability in Bayesian inference, indicating the monophyly of the genus. The clade of Coslenchus spp. formed a highly supported monophyletic group, a sister clade to two species of the genus Aglenchus

    Identifying productive zones of the Sarvak formation by integrating outputs of different classification methods

    No full text
    International audienceSarvak formation is the second major carbonate reservoir in Iran. There are several geological, petrophysical and geophysical investigations which have been carried out on this important reservoir. In this work, Sarvak is studied to find productive zones. At first, four different methods were used to identify producing intervals from well log data and well test results. Then, final zoning is generated by integrating outputs of these four methods. One of them is the conventional cutoff based method; the other three methods are based on flow equation, Bayesian and fuzzy theories. Thereafter, by considering the classification correctness rate of each classifier in each well and technique of majority voting, a unique zoning for Sarvak formation is presented. Based on the final zoning, the whole Sarvak interval is divided into seven zones. Three of them are classified as oil producing zones, two of them cannot be classified as conventionally producing zones, and the remaining two are water producing. Zone number 2 not only has the highest production rate, but also is the most homogeneous zone among the productive zones. The novelty of this research is using well test results in defining productive classes, which improves the certainty of classification in comparison with previous works that were based on core analysis and log data

    Application of fuzzy classifier fusion in determining productive zones in oil wells

    No full text
    International audienceThis study is an application of data fusion techniques, especially fuzzy theory, in determining oil producing zones through four nearby wells, located on an oil field in south west of Iran. Two fusing techniques, used here are based on Bayesian and fuzzy theories. At first, two Bayesian classifiers are being constructed by training in two different wells; then a fuzzy operator, called Sugeno discrete integral, is used to fuse outputs of two mentioned Bayesian classifiers. Finally, it is concluded that using fuzzy classifier fusion improves not only certainty and confidence of decision making, but also generalization ability of determining productive zones

    Simultaneous occurrence of advanced neuroblastoma and acute lymphoblastic leukemia: a case report

    Get PDF
    Neuroblastoma is the most common extracranial solid tumor in children. The cooccurrence of neuroblastoma and acute lymphoblastic leukemia is rare. We report a rare case of advanced-stage neuroblastoma in a 3.5-year-old girl that was accompanied by acute lymphoblastic leukemia following treatment. Her leukemia may have been due to chemotherapy (secondary leukemia) or may have been de novo
    corecore