31Effects of 11-Ketotestosterone on Development of the Previtellogenic Ovary in the Sterlet, Acipenser ruthenus

作者： Wang, Wei; Zhu, Hua; Tian, ZhaoHui; Sun, Ai; Dong, Ying; Dong, Tian; Hu, HongXia; Wang, Wei; Zhu, Hua; Tian, ZhaoHui; Sun, Ai; Dong, Ying; Dong, Tian; Hu, HongXia; Zhu, Hua; Hu, HongXia; SCI

机构： Beijing Fisheries Res Inst, Beijing, Peoples R China; Beijing Key Lab Fishery Biotechnol, Beijing, Peoples R China; Natl Freshwater Fisheries Engn Technol Res Ctr, Beijing, Peoples R China;

来源：FRONTIERS IN ENDOCRINOLOGY

关键词： 11-Ketotestosterone; Vtg; previtellogenic ovary; sterlet; lipid synthesis

年份：2020

32GWAS Enhances Genomic Prediction Accuracy of Caviar Yield, Caviar Color and Body Weight Traits in Sturgeons Using Whole-Genome Sequencing Data

作者： Song, Hailiang; Dong, Tian; Wang, Wei; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; Song, Hailiang; Dong, Tian; Wang, Wei; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; Song, Hailiang; Dong, Tian; Wang, Wei; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; Song, Hailiang; Hu, Hongxia; SCI

机构： Beijing Acad Agr & Forestry Sci, Fisheries Sci Inst, Beijing 100068, Peoples R China; Beijing Key Lab Fisheries Biotechnol, Beijing 100068, Peoples R China; Minist Agr & Rural Affairs, Key Lab Sturgeon Genet & Breeding, Hangzhou 311799, Peoples R China; Natl Innovat Ctr Digital Seed Ind, Beijing 100097, Peoples R China;

来源：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

关键词： sturgeon; whole-genome sequencing; genome-wide association study; candidate gene; genomic prediction

年份：2024

33A tribute to Hao-Ran Lin: Endocrine control of development, growth and reproduction in fish

作者： Hu, Hongxia; Hu, Hongxia; Ge, Wei; Trudeau, Vance L.; SCI

机构： Natl Freshwater Fisheries Engn Technol Res Ctr, Beijing 100068, Peoples R China; Beijing Fisheries Res Inst, Beijing 100068, Peoples R China; Univ Macau, Fac Hlth Sci, Ctr Reprod Dev & Aging CRDA, Taipa, Macao, Peoples R China; Univ Ottawa, Dept Biol, Ottawa, ON K1N 6N5, Canada;

来源：GENERAL AND COMPARATIVE ENDOCRINOLOGY

年份：2022

34Genomic selection and its research progress in aquaculture breeding

作者： Hu, Hongxia; Hu, Hongxia; SCI

机构： Beijing Acad Agr & Forestry Sci, Fisheries Sci Inst, Beijing 100068, Peoples R China; Beijing Key Lab Fisheries Biotechnol, Beijing 100068, Peoples R China;

来源：REVIEWS IN AQUACULTURE

关键词： aquaculture; breeding; future direction; genomic selection; method; research progress

35The rise and fall of the ancient northern pike master sex-determining gene

作者： Pan, Qiaowei; Feron, Romain; Jouanno, Elodie; Herpin, Amaury; Guiguen, Yann; Pan, Qiaowei; Feron, Romain; Darras, Hugo; Feron, Romain; Koop, Ben; Rondeau, Eric; Goetz, Frederick W.; Larson, Wesley A.; Bernatchez, Louis; Tringali, Mike; Curran, Stephen S.; Saillant, Eric; Denys, Gael P. J.; Denys, Gael P. J.; von Hippel, Frank A.; Chen, Songlin; Lopez, J. Andres; Verreycken, Hugo; Ocalewicz, Konrad; Guyomard, Rene; Eche, Camille; Lluch, Jerome; Roques, Celine; Hu, Hongxia; Hu, Hongxia; Tabor, Roger; DeHaan, Patrick; Nichols, Krista M.; Journot, Laurent; Parrinello, Hugues; Klopp, Christophe; Interesova, Elena A.; Trifonov, Vladimir; Schartl, Manfred; Schartl, Manfred; Postlethwait, John; SCI

机构： INRAE, LPGP, Rennes, France; Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland; Swiss Inst Bioinformat, Lausanne, Switzerland; Univ Victoria, Ctr Biomed Res, Dept Biol, Victoria, BC, Canada; NOAA, Environm & Fisheries Sci Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA; Alaska Pacific Univ, Fisheries Aquat Sci & Technol Lab, Anchorage, AK USA; Univ Laval, Inst Biol Integrat & Syst IBIS, Quebec City, PQ, Canada; Florida Marine Res Inst, Fish & Wildlife Conservat Commiss, St Petersburg, FL USA; Auburn Univ, Sch Fisheries & Aquat Sci, Auburn, AL USA; Univ Southern Mississippi, Gulf Coast Res Lab, Sch Ocean Sci & Technol, Ocean Springs, MS USA; MNHN, Lab Biol Organismes & Ecosyst Aquat BOREA, UCN, CNRS,IRD,SU, Paris, France; Museum Natl Hist Nat, Unite Mixte Serv Patrimoine Nat, Ctr Expertise & Donnees, UMS 2006 AFB,CNRS,MNHN, Paris, France; No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA; Yellow Sea Fisheries Res Inst, Lab Marine Fisheries Sci & Food Prod Proc, Pilot Natl Lab Marine Sci & Technol Qingdao, CAFS, Qingdao, Peoples R China; Coll Fisheries & Ocean Sci Fisheries, Fairbanks, AK USA; Res Inst Nat & Forest INBO, Brussels, Belgium; Univ Gdansk, Inst Oceanog, Dept Marine Biol & Ecol, Gdansk, Poland; INRAE, GABI, Jouy En Josas, France; Genotoul, INRAE, GeT PlaGe, Castanet Tolosan, France; Beijing Fisheries Res Inst, Beijing, Peoples R China; Beijing Key Lab Fishery Biotechnol, Beijing, Peoples R China; US Fish & Wildlife Serv, Lacey, WA USA; Natl Ocean & Atmospher Adm, Conservat Biol Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA; Univ Montpellier, Inst Genom Fonct, IGF, CNRS,INSERM, Montpellier, France; Genotoul Bioinfo, Sigenae, INRAE, Toulouse, France; Tomsk State Univ, Tomsk, Russia; Novosibirsk State Univ, Inst Mol & Cellular Biol, Siberian Branch, Russian Acad Sci, Novosibirsk, Russia; Univ Wurzburg, Bioctr, Dev Biochem, D-97074 Wurzburg, Germany; Texas State Univ, Xiphophorus Genet Stock Ctr, San Marcos, TX USA; Univ Oregon, Inst Neurosci, Eugene, OR 97403 USA;

来源：ELIFE

年份：2021

36Strategies to improve the accuracy and reduce costs of genomic prediction in aquaculture species

作者： Hu, Hongxia; Hu, Hongxia; SCI

机构： Beijing Fisheries Res Inst, Beijing 100068, Peoples R China; Beijing Key Lab Fishery Biotechnol, Beijing 100068, Peoples R China;

来源：EVOLUTIONARY APPLICATIONS

关键词： aquaculture species; genomic selection; methods; reduce costs

年份：2022

37Prioritized SNP Selection from Whole-Genome Sequencing Improves Genomic Prediction Accuracy in Sturgeons Using Linear and Machine Learning Models

作者： Song, Hailiang; Wang, Wei; Dong, Tian; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; Song, Hailiang; Wang, Wei; Dong, Tian; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; Song, Hailiang; Wang, Wei; Dong, Tian; Yan, Xiaoyu; Geng, Chenfan; Bai, Song; Hu, Hongxia; SCI

机构： Beijing Acad Agr & Forestry Sci, Fisheries Sci Inst, Beijing 100068, Peoples R China; Beijing Key Lab Fisheries Biotechnol, Beijing 100068, Peoples R China; Minist Agr & Rural Affairs, Key Lab Sturgeon Genet & Breeding, Hangzhou 311799, Peoples R China;

来源：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

关键词： sturgeon; genomic prediction; GWAS; machine learning models; SNP density; aquaculture industry; breeding; caviar traits

年份：2025