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Fungal co-expression network analyses identify pathogen gene modules associated with host insect invasion.

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Title: Fungal co-expression network analyses identify pathogen gene modules associated with host insect invasion.
Authors: Huang S; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.; Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau (Ministry of Education), School of Ecology and Environment, Tibet University , Tibet, China., Zhao X; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China., Luo Z; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China., Tang X; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China., Zhou Y; Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau (Ministry of Education), School of Ecology and Environment, Tibet University , Tibet, China., Keyhani N; Department of Biological Sciences, University of Illinois , Chicago, Illinois, USA., Zhang Y; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.
Source: Microbiology spectrum [Microbiol Spectr] 2023 Oct 17; Vol. 11 (5), pp. e0180923. Date of Electronic Publication: 2023 Sep 01.
Publication Type: Journal Article
Journal Info: Publisher: ASM Press Country of Publication: United States NLM ID: 101634614 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2165-0497 (Electronic) Linking ISSN: 21650497 NLM ISO Abbreviation: Microbiol Spectr Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Fungal co-expression network analyses identify pathogen gene modules associated with host insect invasion.
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  Data: <searchLink fieldCode="AU" term="%22Huang+S%22">Huang S</searchLink>; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.; Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau (Ministry of Education), School of Ecology and Environment, Tibet University , Tibet, China.<br /><searchLink fieldCode="AU" term="%22Zhao+X%22">Zhao X</searchLink>; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Luo+Z%22">Luo Z</searchLink>; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Tang+X%22">Tang X</searchLink>; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau (Ministry of Education), School of Ecology and Environment, Tibet University , Tibet, China.<br /><searchLink fieldCode="AU" term="%22Keyhani+N%22">Keyhani N</searchLink>; Department of Biological Sciences, University of Illinois , Chicago, Illinois, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), College of Plant Protection, Southwest University , Chongqing, China.
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  Data: <searchLink fieldCode="JN" term="%22101634614%22">Microbiology spectrum</searchLink> [Microbiol Spectr] 2023 Oct 17; Vol. 11 (5), pp. e0180923. <i>Date of Electronic Publication: </i>2023 Sep 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22ASM+Press%22">ASM Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101634614 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2165-0497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221650497%22">21650497 </searchLink><i>NLM ISO Abbreviation: </i>Microbiol Spectr <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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      – Type: doi
        Value: 10.1128/spectrum.01809-23
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      – Code: eng
        Text: English
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        StartPage: e0180923
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      – TitleFull: Fungal co-expression network analyses identify pathogen gene modules associated with host insect invasion.
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            NameFull: Huang S
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              Text: 2023 Oct 17
              Type: published
              Y: 2023
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