Dataset Information

Updated description of Paratylenchus lepidus Raski 1975 and P. minor Sharma, Sharma and Khan, 1986 by integrating molecular and ultra-structural observations.

ABSTRACT: Two populations of Paratylenchus lepidus and P. minor were detected in the rhizosphere of Elaeocarpus sp. and Chinese red pine from Taizhou and Hangzhou, Zhejiang Province, China. Previously, P. lepidus has been reported from China whereas P. minor was originally described from India decades ago in the rhizosphere of peach but was never reported thereafter. In this study, both species were characterized morphologically and molecularly coupled with SEM observations. Morphologically, both species have four incisures in the lateral field, vulval present (SEM observations), stylet less than 30 μm long and cephalic region without submedian lobes. Phylogenetically, both species grouped with paratylenchid species having short stylets. Both species can be differentiated from each other by the shape of lip region (rounded in P. lepidus and narrow truncated in P. minor) and tail terminus (pointed in P. lepidus and a broadly rounded in P. minor) and several morphomemtrical values.The study provided an updated description of P. lepidus and P. minor and a first record of P. minor from China. In addition, both species are the first paratylenchid species recorded from Elaeocarpus sp. and Pinus tabuliformis, respectively.

SUBMITTER: Maria M

PROVIDER: S-EPMC6909019 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Updated description of Paratylenchus lepidus Raski 1975 and P. minor Sharma, Sharma and Khan, 1986 by integrating molecular and ultra-structural observations.

Maria Munawar M Miao Wentao W Ye Weimin W Zheng Jingwu J

Journal of nematology 20190917

Two populations of Paratylenchus lepidus and P. minor were detected in the rhizosphere of Elaeocarpus sp. and Chinese red pine from Taizhou and Hangzhou, Zhejiang Province, China. Previously, P. lepidus has been reported from China whereas P. minor was originally described from India decades ago in the rhizosphere of peach but was never reported thereafter. In this study, both species were characterized morphologically and molecularly coupled with SEM observations. Mo ...[more]

PMID: 34179796

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Project description:ObjectiveTo describe and classify health technologies predicted in forecasting studies.Design and methodsA portrait describing health technologies predicted in 15 forecasting studies published between 1986 and 2010 that were identified in a previous systematic review. Health technologies are classified according to their type, purpose and clinical use; relating these to the original purpose and timing of the forecasting studies.Data sourcesAll health-related technologies predicted in 15 forecasting studies identified in a previously published systematic review.Main outcome measureOutcomes related to (1) each forecasting study including country, year, intention and forecasting methods used and (2) the predicted technologies including technology type, purpose, targeted clinical area and forecast timeframe.ResultsOf the 896 identified health-related technologies, 685 (76.5%) were health technologies with an explicit or implied health application and included in our study. Of these, 19.1% were diagnostic or imaging tests, 14.3% devices or biomaterials, 12.6% information technology systems, eHealth or mHealth and 12% drugs. The majority of the technologies were intended to treat or manage disease (38.1%) or diagnose or monitor disease (26.1%). The most frequent targeted clinical areas were infectious diseases followed by cancer, circulatory and nervous system disorders. The most frequent technology types were for: infectious diseases-prophylactic vaccines (45.8%), cancer-drugs (40%), circulatory disease-devices and biomaterials (26.3%), and diseases of the nervous system-equally devices and biomaterials (25%) and regenerative medicine (25%). The mean timeframe for forecasting was 11.6 years (range 0-33 years, median=10, SD=6.6). The forecasting timeframe significantly differed by technology type (p=0.002), the intent of the forecasting group (p<0.001) and the methods used (p<001).ConclusionWhile description and classification of predicted health-related technologies is crucial in preparing healthcare systems for adopting new innovations, further work is needed to test the accuracy of predictions made.

Dataset Information

Updated description of Paratylenchus lepidus Raski 1975 and P. minor Sharma, Sharma and Khan, 1986 by integrating molecular and ultra-structural observations.

Publications

Updated description of <i>Paratylenchus lepidus</i> Raski 1975 and <i>P</i>. <i>minor</i> Sharma, Sharma and Khan, 1986 by integrating molecular and ultra-structural observations.

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