This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Alegria A., Szczesny P., Mayo B., Bardowski J., Kowalczyk M.: Biodiversity in Oscypek, a traditional Polish cheese, determined by culture-dependent and independent approaches. Appl. Environ. Microbiol. 78, 1890–1898 (2012)AlegriaA.SzczesnyP.MayoB.BardowskiJ.KowalczykM.Biodiversity in Oscypek, a traditional Polish cheese, determined by culture-dependent and independent approaches.Appl. Environ. Microbiol7818901898201210.1128/AEM.06081-11329817522247135Search in Google Scholar
Bokulich N.A., Collins T.S., Masarweh C., Allen G., Heymann H., Ebeler S.E.: Associations among wine grape microbiome, metabolome and fermentation behavior suggest microbial contribution to regional wine characteristics. mBio, 7, e00631–16 (2016)BokulichN.A.CollinsT.S.MasarwehC.AllenG.HeymannH.EbelerS.E.Associations among wine grape microbiome, metabolome and fermentation behavior suggest microbial contribution to regional wine characteristics.mBio7e0063116201610.1128/mBio.00631-16495967227302757Search in Google Scholar
Bokulich N.A., Thorngate J.H., Richardson P.M., Mills D.A.: Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate. Proc. Natl. Acad. Sci. 111, E139–48 (2014)BokulichN.A.ThorngateJ.H.RichardsonP.M.MillsD.A.Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate.Proc. Natl. Acad. Sci111E13948201410.1073/pnas.1317377110389079624277822Search in Google Scholar
Boreczek J., Litwinek D., Żylińska-Urban J., Izak D., Buksa K., Gawor J., Gromadka R., Bardowski J.K., Kowalczyk M.: Bacterial community dynamics in spontaneous sourdoughs made from wheat, splet and rye wholemeal flour. Microbiology Open, 9, e1009 (2020)BoreczekJ.LitwinekD.Żylińska-UrbanJ.IzakD.BuksaK.GaworJ.GromadkaR.BardowskiJ.K.KowalczykM.Bacterial community dynamics in spontaneous sourdoughs made from wheat, splet and rye wholemeal flour.Microbiology Open9e1009202010.1002/mbo3.1009714237132045510Search in Google Scholar
Bridier A.: Exploring foodborne pathogen ecology and antimicrobial resistance in the light of shotgun metagenomics. Methods Mol. Biol. 1918, 229–245 (2019)BridierA.Exploring foodborne pathogen ecology and antimicrobial resistance in the light of shotgun metagenomics.Methods Mol. Biol1918229245201910.1007/978-1-4939-9000-9_1930580413Search in Google Scholar
Cao Y., Fanning S., Proos S., Jordan K., Srikumar S.: A review on the applications of next generation sequencing technologies as applied to food-related microbiome studies. Front. Microbiol. 8, 1829 (2017)CaoY.FanningS.ProosS.JordanK.SrikumarS.A review on the applications of next generation sequencing technologies as applied to food-related microbiome studies.Front. Microbiol81829201710.3389/fmicb.2017.01829562701929033905Search in Google Scholar
Chakravorty S., Bhattacharya S., Chatzinotas A., et al.: Kombucha tea fermentation: Microbial and biochemical dynamics. Int. J. Food Microbiol. 220, 63–72 (2016)ChakravortyS.BhattacharyaS.ChatzinotasA.Kombucha tea fermentation: Microbial and biochemical dynamics.Int. J. Food Microbiol2206372201610.1016/j.ijfoodmicro.2015.12.01526796581Search in Google Scholar
Cifuentesa A.: Food analysis and foodomics. J. Chromatogr A., 1216, 7109 (2009)CifuentesaA.Food analysis and foodomics.J. Chromatogr A.12167109200910.1016/j.chroma.2009.09.01819765718Search in Google Scholar
Cocolin L., Alessandria V., Botta C., Gorra R., De Filippis., Ercolini D., Rantsiou K.: NaOH-debittering induces changes in bacterial ecology during table olives fermentation. Plos One, 8, e69074 (2013)CocolinL.AlessandriaV.BottaC.GorraR.De Filippis., ErcoliniD.RantsiouK.NaOH-debittering induces changes in bacterial ecology during table olives fermentation.Plos One8e69074201310.1371/journal.pone.0069074372980823935928Search in Google Scholar
Cook P., Nightingale K.K.: Use of omics methods for the advancement of food quality and food safety. Anim. Front. 8, 31–41 (2018)CookP.NightingaleK.K.Use of omics methods for the advancement of food quality and food safety.Anim. Front83141201810.1093/af/vfy024695201732002228Search in Google Scholar
Coton M., Pawtowski A., Taminiau B., Burgaud G., Deniel F., Coulloumme-Labarthe L.: Unraveling microbial ecology of industrial-scale Kombucha fermentations by metabarcoding and culture-based methods. FEMS Microbiol. Ecol. 93, fix048 (2017)CotonM.PawtowskiA.TaminiauB.BurgaudG.DenielF.Coulloumme-LabartheL.Unraveling microbial ecology of industrial-scale Kombucha fermentations by metabarcoding and culture-based methods.FEMS Microbiol. Ecol.93fix048201710.1093/femsec/fix04828430940Search in Google Scholar
De Filippis F., Genovese A., Ferranti P., Gilbert J.A., Ercolini D.: Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate”. Sci. Rep. 6, 21871 (2016)De FilippisF.GenoveseA.FerrantiP.GilbertJ.A.ErcoliniD.Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate”.Sci. Rep.621871201610.1038/srep21871476647226911915Search in Google Scholar
De Filippis F., La Storia A., Villani F., Ercolini D.: Exploring the sources of bacterial spoilers in beefsteaks by culture-independent high-throughput sequencing. Plos One, 8, e70222 (2013)De FilippisF.La StoriaA.VillaniF.ErcoliniD.Exploring the sources of bacterial spoilers in beefsteaks by culture-independent high-throughput sequencing.Plos One8e70222201310.1371/journal.pone.0070222372379523936168Search in Google Scholar
De Filippis F., Parente E., Ercolini D.: Metagenomics insights into food fermentations. Microb. Biotechnol. 10, 91–102 (2017)De FilippisF.ParenteE.ErcoliniD.Metagenomics insights into food fermentations.Microb. Biotechnol.1091102201710.1111/1751-7915.12421527073727709807Search in Google Scholar
De Filippis F., Parente E., Ercolini D.: Recent past, present, and future of the food microbiome. Annu. Rev. Food Sci. Technol. 9, 589–608 (2018)De FilippisF.ParenteE.ErcoliniD.Recent past, present, and future of the food microbiome.Annu. Rev. Food Sci. Technol.9589608201810.1146/annurev-food-030117-01231229350561Search in Google Scholar
De Pasquale I., Di Cagno R., Buchin S., De Angelis M., Gobbetti M.: Spatial distribution of the metabolically active microbiota within Italian PDO ewes’ milk cheeses. Plos One, 11, e0153213 (2016)De PasqualeI.Di CagnoR.BuchinS.De AngelisM.GobbettiM.Spatial distribution of the metabolically active microbiota within Italian PDO ewes’ milk cheeses.Plos One11e0153213201610.1371/journal.pone.0153213483060927073835Search in Google Scholar
De Vuyst L., Harth H., Van Kerrebroeck S., Leroy F.: Microbiol ecology and process technology of sourdough fermentation. Adv. Appl. Food Microbiol. 37, 11–29 (2017)De VuystL.HarthH.Van KerrebroeckS.LeroyF.Microbiol ecology and process technology of sourdough fermentation.Adv. Appl. Food Microbiol371129201710.1016/j.fm.2013.06.00224230469Search in Google Scholar
De Vuyst L., Harth H., Van Kerrebroeck S., Leroy F.: Yeast diversity of sourdoughs and associated metabolic properties and functionalities. Int. J. Food Microbiol. 239, 26–34 (2016)De VuystL.HarthH.Van KerrebroeckS.LeroyF.Yeast diversity of sourdoughs and associated metabolic properties and functionalities.Int. J. Food Microbiol2392634201610.1016/j.ijfoodmicro.2016.07.01827470533Search in Google Scholar
Du F., Zhang X., Gu H., Song J., Gao X.: Dynamic changes in the bacterial community during the fermentation of traditional Chinese fish Sauce (TCFS) and their correlation with TCFS quality. Microorganisms, 19, 371 (2019)DuF.ZhangX.GuH.SongJ.GaoX.Dynamic changes in the bacterial community during the fermentation of traditional Chinese fish Sauce (TCFS) and their correlation with TCFS quality.Microorganisms19371201910.3390/microorganisms7090371678086931546947Search in Google Scholar
Ercolini D.: High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology. Appl. Environ. Microbiol. 79, 3148–3155 (2013)ErcoliniD.High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology.Appl. Environ. Microbiol.7931483155201310.1128/AEM.00256-13368525723475615Search in Google Scholar
Escobar-Zepeda A., Sanches-Flores A., Quirasco Boruch M.: Metagenomic analysis of a Mexican ripened cheese reveals a unique complex microbiota. Food Microbiol. 57, 116–27 (2016)Escobar-ZepedaA.Sanches-FloresA.Quirasco BoruchM.Metagenomic analysis of a Mexican ripened cheese reveals a unique complex microbiota.Food Microbiol5711627201610.1016/j.fm.2016.02.00427052710Search in Google Scholar
Fagerquist C.K., Zaragoza W.J., Sułtan O., Woo N., Quinones B., Cooley M.B., Mandrell R.E.: Top-down proteomic identification of Shiga toxin 2 subtypes from Shiga toxin-producing Escherichia coli by matrix-assisted laser desorption ionization-tandem time of flight mass spectrometry. Appl. Environ. Microbiol. 80, 2928–2940 (2014)FagerquistC.K.ZaragozaW.J.SułtanO.WooN.QuinonesB.CooleyM.B.MandrellR.E.Top-down proteomic identification of Shiga toxin 2 subtypes from Shiga toxin-producing Escherichia coli by matrix-assisted laser desorption ionization-tandem time of flight mass spectrometry.Appl. Environ. Microbiol8029282940201410.1128/AEM.04058-13399330024584253Search in Google Scholar
Fei Y., Li L., Chen L., Zheng Y., Yu B.: High-throughput sequencing and culture-based approaches to analyze microbial diversity associated with chemical changes in naturally fermented tofu whey, a traditional Chinese tofu-coagulant. Food Microbiol. 76, 69–77 (2018)FeiY.LiL.ChenL.ZhengY.YuB.High-throughput sequencing and culture-based approaches to analyze microbial diversity associated with chemical changes in naturally fermented tofu whey, a traditional Chinese tofu-coagulant.Food Microbiol766977201810.1016/j.fm.2018.04.00430166192Search in Google Scholar
Ferrocino I., Greppi A., La Storia A., Rantsiou K., Ercolini D., Cocolin L.: Impact of nisin-activated packaging on microbiota of beef burgers during storage. Appl. Environ. Microbiol. 82, 549–559 (2016)FerrocinoI.GreppiA.La StoriaA.RantsiouK.ErcoliniD.CocolinL.Impact of nisin-activated packaging on microbiota of beef burgers during storage.Appl. Environ. Microbiol82549559201610.1128/AEM.03093-15471114226546424Search in Google Scholar
Ferrocino L., Bellio A., Giordano M., Macori G., Romano A., Rantsiou K., Decastelli L., Cocolin L.: Shotgun metagenomics and volatilome profile of the microbiota of fermented sausages. Appl. Environ. Microbiol., 84, e02120–17 (2018)FerrocinoL.BellioA.GiordanoM.MacoriG.RomanoA.RantsiouK.DecastelliL.CocolinL.Shotgun metagenomics and volatilome profile of the microbiota of fermented sausages.Appl. Environ. Microbiol.84e0212017201810.1128/AEM.02120-17577224429196291Search in Google Scholar
Forbes J.D., Knox N., Ronholm J., Pagotto F., Relmer A.: Metagenomics: The next culture-independent game changer. Front. Microbiol. 8, 1069 (2017)ForbesJ.D.KnoxN.RonholmJ.PagottoF.RelmerA.Metagenomics: The next culture-independent game changer.Front. Microbiol81069201710.3389/fmicb.2017.01069549582628725217Search in Google Scholar
Fougy L., Desmonts M.H., Coeuret G., Fassel Ch., Hamon E., Hezard B., Champonier-Verges M.Ch., Chaillou S.: Reducing Salt in Raw Pork sausages increases spoilage and correlates with reduced bacterial diversity. Appl. Environ. Microbiol. 82, 3928–3939 (2016)FougyL.DesmontsM.H.CoeuretG.FasselCh.HamonE.HezardB.Champonier-VergesM.Ch.ChaillouS.Reducing Salt in Raw Pork sausages increases spoilage and correlates with reduced bacterial diversity.Appl. Environ. Microbiol8239283939201610.1128/AEM.00323-16490717727107120Search in Google Scholar
Gilquin B., Jaquinod M., Louwagie M., Kieffer-Jaquinod S., Kraut A., Ferro M., Becher F., Brun V.: A proteomics assay to detect eight CBRN-relevant toxins in food, Proteomics, 17, 1–2 (2017)GilquinB.JaquinodM.LouwagieM.Kieffer-JaquinodS.KrautA.FerroM.BecherF.BrunV.A proteomics assay to detect eight CBRN-relevant toxins in foodProteomics1712201710.1002/pmic.20160035728008711Search in Google Scholar
Gobbetti M., Minervini F., Pontonio E., Di Cango R., De Angelis M.: Drivers for the establishment and composition of the sourdough lactic acid bacteria biota. J. Food Microbiol. 239, 3–18 (2016)GobbettiM.MinerviniF.PontonioE.Di CangoR.De AngelisM.Drivers for the establishment and composition of the sourdough lactic acid bacteria biota.J. Food Microbiol239318201610.1016/j.ijfoodmicro.2016.05.02227240934Search in Google Scholar
Greppi A., Ferrrocino I., La Storia A., Rantsiou K., Ercolini D., Cocolin L.: Monitoring of the microbiota of fermented sausages by culture independent rRNA-based approaches. Int. J. Food Microbiol. 212, 67–75 (2015)GreppiA.FerrrocinoI.La StoriaA.RantsiouK.ErcoliniD.CocolinL.Monitoring of the microbiota of fermented sausages by culture independent rRNA-based approaches.Int. J. Food Microbiol2126775201510.1016/j.ijfoodmicro.2015.01.01625724303Search in Google Scholar
Hong X., Chen J., Liu L., Wu H., Tan H., Xie G., Xu Q., Zou H., Yu W., Wang L., Qin N.: Metagenomic sequencing reveals the relationship between microbiota composition and quality of Chinese rice wine. Sci. Rep. 6, 26621 (2016)HongX.ChenJ.LiuL.WuH.TanH.XieG.XuQ.ZouH.YuW.WangL.QinN.Metagenomic sequencing reveals the relationship between microbiota composition and quality of Chinese rice wine.Sci. Rep626621201610.1038/srep26621488653027241862Search in Google Scholar
Huang Z.R., Honga J.L., Xua J.X., Lia L., Guoa W.L., Yang Y., Chenc S.J.: Exploring core functional microbiota responsible for the production of volatile flavour during the traditional brewing of Wuyi Hong Qu glutinous rice wine. Food Microbiol. 76, 487–496 (2018)HuangZ.R.HongaJ.L.XuaJ.X.LiaL.GuoaW.L.YangY.ChencS.J.Exploring core functional microbiota responsible for the production of volatile flavour during the traditional brewing of Wuyi Hong Qu glutinous rice wine.Food Microbiol76487496201810.1016/j.fm.2018.07.01430166178Search in Google Scholar
Illeghems K., Weckx S., De Vuyst L.: Applying meta-pathway analyses through metagenomics to identify the functional properties of the major bacterial communities of a single spontaneous cocoa bean fermentation process sample. Food Microbiol. 50, 54–63 (2015)IlleghemsK.WeckxS.De VuystL.Applying meta-pathway analyses through metagenomics to identify the functional properties of the major bacterial communities of a single spontaneous cocoa bean fermentation process sample.Food Microbiol505463201510.1016/j.fm.2015.03.00525998815Search in Google Scholar
Jadhav S., Sevior D., Bhave M., Palombo E.A.: Detection of Listeria monocytogenes from selective enrichment broth using MALDI-TOF Mass Spectrometry. J. Proteomics. 97, 100–106 (2014)JadhavS.SeviorD.BhaveM.PalomboE.A.Detection of Listeria monocytogenes from selective enrichment broth using MALDI-TOF Mass Spectrometry.J. Proteomics97100106201410.1016/j.jprot.2013.09.01424080423Search in Google Scholar
Jagadeesan B., Gerner-Smidt P., Allard M.W., Leuillet S., Winkler A., Xiao Y., Chaffron S.: The use of next generation sequencing for improving food safety: translation into practice. Food Microbiol. 79, 96–115 (2019)JagadeesanB.Gerner-SmidtP.AllardM.W.LeuilletS.WinklerA.XiaoY.ChaffronS.The use of next generation sequencing for improving food safety: translation into practice.Food Microbiol.7996115201910.1016/j.fm.2018.11.005649226330621881Search in Google Scholar
Jung J., Choi S., Jeon C.O., Park W.: Pyrosequencing-based analysis of the bacterial community in Korean traditional seafood, ojingeo jeotgal. J. Microbiol. Biotechnol. 23, 1428–1433 (2013)JungJ.ChoiS.JeonC.O.ParkW.Pyrosequencing-based analysis of the bacterial community in Korean traditional seafood, ojingeo jeotgal.J. Microbiol. Biotechnol2314281433201310.4014/jmb.1305.0501823851268Search in Google Scholar
Jung W.Y., Jung J.Y., Lee H.J.: Functional characterization of bacterial communities responsible for fermentation of Doenjang: a traditional Korean fermented soybean paste. Front. Microbiol. 7, 827 (2016)JungW.Y.JungJ.Y.LeeH.J.Functional characterization of bacterial communities responsible for fermentation of Doenjang: a traditional Korean fermented soybean paste.Front. Microbiol.7827201610.3389/fmicb.2016.00827488586527303399Search in Google Scholar
Kable M.E., Srisengfa Y., laird M., Zaragoza J., Mcleod J., Heidenreich J.: The core and seasonal microbiota of raw bovine milk in tanker trucks and the impact of transfer to a milk processing facility. MBio, 7, 1–13 (2016)KableM.E.SrisengfaY.lairdM.ZaragozaJ.McleodJ.HeidenreichJ.The core and seasonal microbiota of raw bovine milk in tanker trucks and the impact of transfer to a milk processing facility.MBio7113201610.1128/mBio.00836-16499954027555305Search in Google Scholar
Kergourlay G., Taminiau B., Daube G., Vergès M.Ch.: Metagenomic insights into the dynamics of microbial communities in food. In. J. Food Microbiol. 231, 31–39 (2015)KergourlayG.TaminiauB.DaubeG.VergèsM.Ch.Metagenomic insights into the dynamics of microbial communities in food.In. J. Food Microbiol2313139201510.1016/j.ijfoodmicro.2015.09.01026414193Search in Google Scholar
Kim J., Jung Y., Bong Y.S., Lee K.S., Hwang G.S.: Determination of the geographical origin of Kimchi by (1) H NRM based metabolite profiling. Biosci. Biotechnol. Biochem. 76, 1752–1757 (2012)KimJ.JungY.BongY.S.LeeK.S.HwangG.S.Determination of the geographical origin of Kimchi by (1) H NRM based metabolite profiling.Biosci. Biotechnol. Biochem.7617521757201210.1271/bbb.12035622972342Search in Google Scholar
Kim Y.S., Kim M.C., Kwon S.W., Kim S.J., Park I.C., Ka J.O., Weon H.Y.: Analyses of bacterial communities in meju, a Korean traditional fermented soybean bricks, by cultivation-based and pyrosequencing methods. J. Microbiol. 49, 340–348 (2011)KimY.S.KimM.C.KwonS.W.KimS.J.ParkI.C.KaJ.O.WeonH.Y.Analyses of bacterial communities in meju, a Korean traditional fermented soybean bricks, by cultivation-based and pyrosequencing methods.J. Microbiol49340348201110.1007/s12275-011-0302-321717316Search in Google Scholar
Kumar J., Sharma N., Kaushal G., Samurailatpam S., Sahoo D., Rai A.K., Singh S.P.: Metagenomic insights into the taxonomic and functional features of Kinema, a traditional fermented soybean product of Sikkim Himalaya. Front. Microbiol. 10, 1744 (2019)KumarJ.SharmaN.KaushalG.SamurailatpamS.SahooD.RaiA.K.SinghS.P.Metagenomic insights into the taxonomic and functional features of Kinema, a traditional fermented soybean product of Sikkim Himalaya.Front. Microbiol101744201910.3389/fmicb.2019.01744668858831428064Search in Google Scholar
Lee S.H., Jung J.Y., Jeon C.O.: Effects of temperature on microbial succession and metabolite change during saeu-jeot fermentation. Food Microbiol. 38, 16–25 (2014)LeeS.H.JungJ.Y.JeonC.O.Effects of temperature on microbial succession and metabolite change during saeu-jeot fermentation.Food Microbiol381625201410.1016/j.fm.2013.08.00424290621Search in Google Scholar
Leff J.W., Fieser N.: Bacterial communities associated with the surfaces of fresh fruits and vegetables. Plos One, 8, e59310 (2013)LeffJ.W.FieserN.Bacterial communities associated with the surfaces of fresh fruits and vegetables.Plos One8e59310201310.1371/journal.pone.0059310360985923544058Search in Google Scholar
Leonard S.R., Mammel M.K., Lacher D.W., Elkins Ch.A.: Application of metagenomic sequencing to food safety: detection of Shiga toxin-producing Escherichia coli on fresh bagged spinach. Appl. Environ. Microbiol. 81, 8183-8191 (2015)LeonardS.R.MammelM.K.LacherD.W.ElkinsCh.A.Application of metagenomic sequencing to food safety: detection of Shiga toxin-producing Escherichia coli on fresh bagged spinach.Appl. Environ. Microbiol.818183-8191201510.1128/AEM.02601-15465107626386062Search in Google Scholar
Lessard M.H., Viel C., Boyle B., St-Gelais D., Labrie S.: Metatranscriptome analysis of fungal straits Penicillium camemberti and Geotrichum candidum reveal cheese matrix breakdown and potential development of sensory properties of ripened Camembert-type cheese. BMC Genomics, 15, 235 (2014)LessardM.H.VielC.BoyleB.St-GelaisD.LabrieS.Metatranscriptome analysis of fungal straits Penicillium camemberti and Geotrichum candidum reveal cheese matrix breakdown and potential development of sensory properties of ripened Camembert-type cheese.BMC Genomics15235201410.1186/1471-2164-15-235398688624670012Search in Google Scholar
Li Z., Feng C., Luo X., Yao H., Zhang D., Zhang T.: Revealing the influence of microbiota on the quality of Pu-erh tea during fermentation process by shotgun metagenomic and metabolomic analysis. Food Microbiol. 76, 405–415 (2018)LiZ.FengC.LuoX.YaoH.ZhangD.ZhangT.Revealing the influence of microbiota on the quality of Pu-erh tea during fermentation process by shotgun metagenomic and metabolomic analysis.Food Microbiol76405415201810.1016/j.fm.2018.07.00130166168Search in Google Scholar
Liu D., Zhang P., Chen D., Howell K.: From the vineyard to the winery: how microbial Ecology drives regional distinctiveness of wine. Front. Microbiol. 10, 2679 (2019)LiuD.ZhangP.ChenD.HowellK.From the vineyard to the winery: how microbial Ecology drives regional distinctiveness of wine.Front. Microbiol102679201910.3389/fmicb.2019.02679688077531824462Search in Google Scholar
Liu S., Chena Q., Zoub H., Yud Y., Zhou Z., Maoa J., Zhange S.: A metagenomic analysis of the relationship between microorganisms and flavor development in Shaoxing mechanized huangjiu fermentation mashes. Int. J. Food Microbiol. 303, 9–18 (2019)LiuS.ChenaQ.ZoubH.YudY.ZhouZ.MaoaJ.ZhangeS.A metagenomic analysis of the relationship between microorganisms and flavor development in Shaoxing mechanized huangjiu fermentation mashes.Int. J. Food Microbiol303918201910.1016/j.ijfoodmicro.2019.05.00131102963Search in Google Scholar
Liu S.P., Yu J.X., Wei X.L., Ji Z.W., Zhou Z.L.: Sequencing-based screening of functional microorganism to decrease the formation of biogenic amines in Chinese rice wine. Food Control. 64, 98–104 (2016)LiuS.P.YuJ.X.WeiX.L.JiZ.W.ZhouZ.L.Sequencing-based screening of functional microorganism to decrease the formation of biogenic amines in Chinese rice wine.Food Control6498104201610.1016/j.foodcont.2015.12.013Search in Google Scholar
Liu T., Li Y., Yang Y., Yi H., Znang L.: The influence of different lactic acid bacteria on sourdough flavor and a deep insight into sourdough fermentation through RNA sequencing. Food Chem. 307, 125529 (2020)LiuT.LiY.YangY.YiH.ZnangL.The influence of different lactic acid bacteria on sourdough flavor and a deep insight into sourdough fermentation through RNA sequencing.Food Chem307125529202010.1016/j.foodchem.2019.12552931644982Search in Google Scholar
Lo Y.T, Shaw P.Ch.: DNA-based techniques for authentication of processed food and food supplements. Food Chem. 240, 767–774 (2017)LoY.TShawP.Ch.DNA-based techniques for authentication of processed food and food supplements.Food Chem240767774201710.1016/j.foodchem.2017.08.02228946341Search in Google Scholar
Looft T., Jahnson T.A., Allen H.K., Bayles D.O., Alt D.P., Stedtfeld R.D.: Infeed antibiotic effects on the swine intestinal microbiome. Proc. Natl. Acad. Sci. USA, 109, 1691–1696 (2012)LooftT.JahnsonT.A.AllenH.K.BaylesD.O.AltD.P.StedtfeldR.D.Infeed antibiotic effects on the swine intestinal microbiome.Proc. Natl. Acad. Sci. USA10916911696201210.1073/pnas.1120238109327714722307632Search in Google Scholar
Lopez-Velasco G., Welbaum G.E., Boyer R.R., Mane S.P., Ponder M.A.: Changes in spinach phylloepiphytic bacteria communities following minimal processing and refrigerated storage described using pyrosequencing of 16S rRNA amplicons. J. Appl. Microbiol. 110, 1203–1214 (2011)Lopez-VelascoG.WelbaumG.E.BoyerR.R.ManeS.P.PonderM.A.Changes in spinach phylloepiphytic bacteria communities following minimal processing and refrigerated storage described using pyrosequencing of 16S rRNA amplicons.J. Appl. Microbiol11012031214201110.1111/j.1365-2672.2011.04969.x21371219Search in Google Scholar
Marino M., Innocente N., Maifreni M., Mounier J., Cobo-Diaz J.F., coton E.: Diversity within Italian chesse making brine-associated bacterial communities evidenced by massive parallel 16S rRNA gene tag sequencing. Front Microbiol. 8, 2119 (2017)MarinoM.InnocenteN.MaifreniM.MounierJ.Cobo-DiazJ.F.cotonE.Diversity within Italian chesse making brine-associated bacterial communities evidenced by massive parallel 16S rRNA gene tag sequencing.Front Microbiol82119201710.3389/fmicb.2017.02119567585929163411Search in Google Scholar
Marsh A., O’Sullivan O., Hill C., Cotter P.D.: Sequence-based analysis of the bacterial and fungal compositions of multiple kombucha (tea fungus) samples. Food Microbiol. 38, 171–178 (2014)MarshA.O’SullivanO.HillC.CotterP.D.Sequence-based analysis of the bacterial and fungal compositions of multiple kombucha (tea fungus) samples.Food Microbiol38171178201410.1016/j.fm.2013.09.00324290641Search in Google Scholar
Maury M., Tsai Y.H., Chalier C., Touchon M., Chenal-Francisque V.: Uncovering Listeria Monocytogenes hypervirulence by harnessing its biodiversity. Nat. Genet. 48, 308–313 (2016)MauryM.TsaiY.H.ChalierC.TouchonM.Chenal-FrancisqueV.Uncovering Listeria Monocytogenes hypervirulence by harnessing its biodiversity.Nat. Genet48308313201610.1038/ng.3501476834826829754Search in Google Scholar
Minervini F., Celano G., Lattanzi A., De Angelis M., Gobbetti M.: Added ingredients affect the microbiota and biochemical characteristics of durum wheat type-I sourdough. Food Microbiol. 60, 112–123 (2016)MinerviniF.CelanoG.LattanziA.De AngelisM.GobbettiM.Added ingredients affect the microbiota and biochemical characteristics of durum wheat type-I sourdough.Food Microbiol60112123201610.1016/j.fm.2016.05.01627554152Search in Google Scholar
Monnet C., Dugat-Bony E., Swennen D., Beckerich J.M., Irlinger F.: Investigation of the activity of the microorganisms in a Reblochon-style cheese by metatranscriptomic analysis. Front. Microbiol. 7, 536 (2016)MonnetC.Dugat-BonyE.SwennenD.BeckerichJ.M.IrlingerF.Investigation of the activity of the microorganisms in a Reblochon-style cheese by metatranscriptomic analysis.Front. Microbiol7536201610.3389/fmicb.2016.00536483715227148224Search in Google Scholar
Morgan H.H., du Toit M., Setati M.E. The grapevine and wine microbiome: insights from high-throughput amplicon sequencing. Front Microbiol. 11, 8–820 (2017)MorganH.H.du ToitM.SetatiM.E.The grapevine and wine microbiome: insights from high-throughput amplicon sequencing.Front Microbiol118820201710.3389/fmicb.2017.00820542557928553266Search in Google Scholar
Nam Y.D., Lee S.Y., Lim S.I.: Microbial community analysis of Korean soybean pastes by next generation sequencing. Int. J. Food Microbiol. 155, 36–42 (2012)NamY.D.LeeS.Y.LimS.I.Microbial community analysis of Korean soybean pastes by next generation sequencing.Int. J. Food Microbiol.1553642201210.1016/j.ijfoodmicro.2012.01.01322305887Search in Google Scholar
Nam Y.D., Park S.I., Lim S.I.: Microbial composition of the Korean traditional food “kochujang” analyzed by a massive sequencing technique. J. Food Sci. 77, 250–256 (2012)NamY.D.ParkS.I.LimS.I.Microbial composition of the Korean traditional food “kochujang” analyzed by a massive sequencing technique.J. Food Sci77250256201210.1111/j.1750-3841.2012.02656.x22515251Search in Google Scholar
Nam Y.D., Yi S-H., Lim S.I.: Bacterial diversity of Cheonggukjang a traditional Korean fermented food analyzed by barcoded pyrosequencing. Food Control, 28, 135–142 (2012)NamY.D.YiS-H.LimS.I.Bacterial diversity of Cheonggukjang a traditional Korean fermented food analyzed by barcoded pyrosequencing.Food Control28135142201210.1016/j.foodcont.2012.04.028Search in Google Scholar
Noyes N.R., Yang X., Linke L.M., Magnuson R.J., Dettenwanger A., Cook S., Geornaras I.: Resistome diversity in cattle and the environment decreases during beef production. ELife, 5, e13195 (2016)NoyesN.R.YangX.LinkeL.M.MagnusonR.J.DettenwangerA.CookS.GeornarasI.Resistome diversity in cattle and the environment decreases during beef production.ELife5e13195201610.7554/eLife.13195479896526952213Search in Google Scholar
Ottesen A., Ramachandran P., Reed E., White J.R., Hasan N., Subramanian P., et al.: Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak. BMC Microbiol. 16, 275 (2016)OttesenA.RamachandranP.ReedE.WhiteJ.R.HasanN.SubramanianP.Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak.BMC Microbiol16275201610.1186/s12866-016-0894-1511266827852235Search in Google Scholar
Pinto C., Pinho D., Sousa S., Pinheiro M., Egas C., Gomes A.C.: Unravelling the diversity of grapevine microbiome. PLoS One, 9, e85622 (2014)PintoC.PinhoD.SousaS.PinheiroM.EgasC.GomesA.C.Unravelling the diversity of grapevine microbiome.PLoS One9e85622201410.1371/journal.pone.0085622389419824454903Search in Google Scholar
Pisano M.B., Scano P., Murgia A., Cosentino S., Caboni P.: Metabolomics and microbiological profile of Italian mozzarella cheese produced with buffalo and cow milk. Food Chem. 192, 618–624 (2016)PisanoM.B.ScanoP.MurgiaA.CosentinoS.CaboniP.Metabolomics and microbiological profile of Italian mozzarella cheese produced with buffalo and cow milk.Food Chem192618624201610.1016/j.foodchem.2015.07.06126304391Search in Google Scholar
Pitta D.W., Dou Z., Kumar S., Indugu N., Toth J.D., Vecchiarelli B.: Metagenomic evidence of the prevalence and distribution patterns of antimicrobial resistance genes in dairy agroecosystems. Foodborne Pathog. Dis. 13, 296–302 (2016)PittaD.W.DouZ.KumarS.InduguN.TothJ.D.VecchiarelliB.Metagenomic evidence of the prevalence and distribution patterns of antimicrobial resistance genes in dairy agroecosystems.Foodborne Pathog. Dis13296302201610.1089/fpd.2015.209227046731Search in Google Scholar
Połka J., Rebecchi A., Pisacane V., Morelli L., Puglisi E.: Bacterial diversity in typical Italian salami at different ripening stages as revealed by high-throughput sequencing of 16S rRNA amplicons. Food Microbiol. 46, 342–356 (2015)PołkaJ.RebecchiA.PisacaneV.MorelliL.PuglisiE.Bacterial diversity in typical Italian salami at different ripening stages as revealed by high-throughput sequencing of 16S rRNA amplicons.Food Microbiol46342356201510.1016/j.fm.2014.08.02325475305Search in Google Scholar
Portillo M.D.C., Franquès J., Araque I., Reguant C., Bordons A.: Bacterial diversity of grenache and carignan grape surface from different vineyards at Priorat wine region (Catalonia, Spain). Int. J. Food Microbiol. 219, 56–63 (2016)PortilloM.D.C.FranquèsJ.AraqueI.ReguantC.BordonsA.Bacterial diversity of grenache and carignan grape surface from different vineyards at Priorat wine region (Catalonia, Spain).Int. J. Food Microbiol2195663201610.1016/j.ijfoodmicro.2015.12.00226736065Search in Google Scholar
Quigley L., O’Dullivan D.J., Daly D., O’Sullivan O., Burdikova Z., Vana R., Beresford T.P., Ross R.P., Fitzgerald G.F., McSweeney P.L.: Thermus and the pink discoloration defect in cheese. mSystems, 1, e00023–16 (2016)QuigleyL.O’DullivanD.J.DalyD.O’SullivanO.BurdikovaZ.VanaR.BeresfordT.P.RossR.P.FitzgeraldG.F.McSweeneyP.L.Thermus and the pink discoloration defect in cheese.mSystems1e0002316201610.1128/mSystems.00023-16506976127822529Search in Google Scholar
Quigley L., O’Sullivan O., Stanton C., Beresford T.P., Ross R.P., Fitzgerald G.F.: The complex microbiota of raw milk. FEMS Microbiol. Rev. 37, 664–698 (2013)QuigleyL.O’SullivanO.StantonC.BeresfordT.P.RossR.P.FitzgeraldG.F.The complex microbiota of raw milk.FEMS Microbiol. Rev37664698201310.1111/1574-6976.1203023808865Search in Google Scholar
Rantsiou K., Cocolin L.: New developments in the study of the microbiota of naturally fermented sausage as determined by molecular methods: a review. Int. J. Food Microbiol. 108, 255–267 (2006)RantsiouK.CocolinL.New developments in the study of the microbiota of naturally fermented sausage as determined by molecular methods: a review.Int. J. Food Microbiol108255267200610.1016/j.ijfoodmicro.2005.11.01316481061Search in Google Scholar
Rešetar D., Marchetti-Deschmann M., Allmaier G., Katalinić J.P., Pavelić S.K.: Matrix assisted laser desorption ionization mass spectrometry linear time-of-flight method for white wine fingerprinting and classification. Food Control, 64, 157–164 (2016)RešetarD.Marchetti-DeschmannM.AllmaierG.KatalinićJ.P.PavelićS.K.Matrix assisted laser desorption ionization mass spectrometry linear time-of-flight method for white wine fingerprinting and classification.Food Control64157164201610.1016/j.foodcont.2015.12.035Search in Google Scholar
Rhoads A., Au K.F.: PacBio sequencing and its applications. Genomics Proteomics Bioinformatics, 13, 278–289 (2015)RhoadsA.AuK.F.PacBio sequencing and its applications.Genomics Proteomics Bioinformatics13278289201510.1016/j.gpb.2015.08.002467877926542840Search in Google Scholar
Rodrigues M.X., Lima S.F., Canniatti-Brazaca S.G., Bicalho R.C.: The microbiome of bulk tank milk: characterization and associations with somatic cell count and bacterial count. J. Dairy Sci. 100, 2536–2552 (2017)RodriguesM.X.LimaS.F.Canniatti-BrazacaS.G.BicalhoR.C.The microbiome of bulk tank milk: characterization and associations with somatic cell count and bacterial count.J. Dairy Sci10025362552201710.3168/jds.2016-1154028189327Search in Google Scholar
Setati M.E., Jacobson D., Andong U.C., Bauer F.F.: The vineyard yeast microbiome, a mixed model microbial map. PLoS One, 7, e52609 (2012)SetatiM.E.JacobsonD.AndongU.C.BauerF.F.The vineyard yeast microbiome, a mixed model microbial map.PLoS One7e52609201210.1371/journal.pone.0052609353045823300721Search in Google Scholar
Shen Y., Nie J., Kuang L., Zhang J., Li H.: DNA Sequencing, genomes and genetic markers of microbes on fruits and vegetables. Microb. Biotechnol. 0, 1–40 (2020)ShenY.NieJ.KuangL.ZhangJ.LiH.DNA Sequencing, genomes and genetic markers of microbes on fruits and vegetables.Microb. Biotechnol0140202010.1111/1751-7915.13560793632932207561Search in Google Scholar
Shing P., Karimi A., Devendra K., Waldroup P.W., Cho K.K., Kwon Y.M.: Influence of penicillin on microbial diversity of the cecal microbiota in broiler chickens. Poult. Sci. 92, 272–276 (2013)ShingP.KarimiA.DevendraK.WaldroupP.W.ChoK.K.KwonY.M.Influence of penicillin on microbial diversity of the cecal microbiota in broiler chickens.Poult. Sci92272276201310.3382/ps.2012-0260323243258Search in Google Scholar
Singh T.A., Devi K.R., Ahmed G., Jeyaram K.: Microbial and endogenous origin of fibrinolytic activity in traditional fermented foods of Northeast India. Food Res. Intern. 55, 356–362 (2014)SinghT.A.DeviK.R.AhmedG.JeyaramK.Microbial and endogenous origin of fibrinolytic activity in traditional fermented foods of Northeast India.Food Res. Intern55356362201410.1016/j.foodres.2013.11.028Search in Google Scholar
Smid E., Lacroix C.: Microbe-microbe interactions in mixed culture food fermentation. Curr. Opin. Biotechnol. 25, 148–154 (2013)SmidE.LacroixC.Microbe-microbe interactions in mixed culture food fermentation.Curr. Opin. Biotechnol25148154201310.1016/j.copbio.2012.11.00723228389Search in Google Scholar
Stefanini I., Cavalieri D.: Metagenomic approaches to investigate the contribution of the vineyard environment to the quality of wine fermentation: potentials and difficulties. Front. Microbiol. 9, 991 (2018)StefaniniI.CavalieriD.Metagenomic approaches to investigate the contribution of the vineyard environment to the quality of wine fermentation: potentials and difficulties.Front. Microbiol9991201810.3389/fmicb.2018.00991596421529867889Search in Google Scholar
Stellato G., De Filippis F., La Storia A., Ercolini D.: Coexistence of lactic acid bacteria and potential spoilage microbiota in a dairy processing environment. Appl. Environ. Microbiol. 81, 7893–7904 (2015)StellatoG.De FilippisF.La StoriaA.ErcoliniD.Coexistence of lactic acid bacteria and potential spoilage microbiota in a dairy processing environment.Appl. Environ. Microbiol8178937904201510.1128/AEM.02294-15461695226341209Search in Google Scholar
Sulaiman J., Gan H.M., Yin W.F., Chan K.G.: Microbiol succession and the functional potential during the fermentation of Chinese soy sauce brine. Front. Microbiol. 5, 556 (2014)SulaimanJ.GanH.M.YinW.F.ChanK.G.Microbiol succession and the functional potential during the fermentation of Chinese soy sauce brine.Front. Microbiol5556201410.3389/fmicb.2014.00556421582925400624Search in Google Scholar
Tan G., Hu M., Pan Z., Li M., Li L., Yang M.: High-throughput sequencing and metabolomics reveal differences in bacterial diversity and metabolites between red and white Sufu. Front. Microbiol. 11, 758 (2020)TanG.HuM.PanZ.LiM.LiL.YangM.High-throughput sequencing and metabolomics reveal differences in bacterial diversity and metabolites between red and white Sufu.Front. Microbiol11758202010.3389/fmicb.2020.00758718879032390991Search in Google Scholar
Taylor M.W., Tsai P., Anfang N., Ross H.A., Goddard M.R.: Pyrosequencing reveals regional differences in fruit-associated fungal communities. Environ. Microbiol. 16, 2848–2858 (2014)TaylorM.W.TsaiP.AnfangN.RossH.A.GoddardM.R.Pyrosequencing reveals regional differences in fruit-associated fungal communities.Environ. Microbiol1628482858201410.1111/1462-2920.12456425757424650123Search in Google Scholar
Van Kerrebrock S., Maes D., De Vuyst L.: Sourdoughs as a function of their species diversity and process conditions, a meta-analysis. Trends Food Sci. Technol. 68, 152–159 (2017)Van KerrebrockS.MaesD.De VuystL.Sourdoughs as a function of their species diversity and process conditions, a meta-analysis.Trends Food Sci. Technol68152159201710.1016/j.tifs.2017.08.016Search in Google Scholar
Walsh A.M., Crispie F., Daari K., O’Sullivan O., Martin J.C., Arthur C.T., Claesson M.J., Scott K.P., Cotter P.D.: Strain-level metagenomic analysis of the fermented dairy beverage nunu highlights potential food safety risks. Appl. Environ. Microbiol. 83, e01144–17 (2017)WalshA.M.CrispieF.DaariK.O’SullivanO.MartinJ.C.ArthurC.T.ClaessonM.J.ScottK.P.CotterP.D.Strain-level metagenomic analysis of the fermented dairy beverage nunu highlights potential food safety risks.Appl. Environ. Microbiol.83e0114417201710.1128/AEM.01144-17554120828625983Search in Google Scholar
Wolfe B.E., Button J.E., Santarelli M., Dutton R.: Cheese rind communities provide tractable systems for in situ and in vitro studies of microbial diversity. Cell, 158, 422–433 (2014)WolfeB.E.ButtonJ.E.SantarelliM.DuttonR.Cheese rind communities provide tractable systems for in situ and in vitro studies of microbial diversity.Cell158422433201410.1016/j.cell.2014.05.041422252725036636Search in Google Scholar
Xu Y.J.: Foodomics: a novel approach for food microbiology. TrAC., 96, 14–21 (2017)XuY.J.Foodomics: a novel approach for food microbiology.TrAC.961421201710.1016/j.trac.2017.05.012Search in Google Scholar
Yang Y., Noyes N.R., Doster E., Martin J.N.: Use of metagenomic shotgun sequencing technology to detect foodborne pathogens within the microbiome of the beef production chain. Appl. Environ. Microbiol. 82, 2433–2443 (2016)YangY.NoyesN.R.DosterE.MartinJ.N.Use of metagenomic shotgun sequencing technology to detect foodborne pathogens within the microbiome of the beef production chain.Appl. Environ. Microbiol8224332443201610.1128/AEM.00078-16495948026873315Search in Google Scholar
Zarraonaindia I., Owens S.M., Weisenhorn P., West K., Hampton-Marcell J., Lax S., Bokulich N.A.: The soil microbiome influences grapevine-associated microbiota. MBio. 6, e02527–14 (2015)ZarraonaindiaI.OwensS.M.WeisenhornP.WestK.Hampton-MarcellJ.LaxS.BokulichN.A.The soil microbiome influences grapevine-associated microbiota.MBio.6e0252714201510.1128/mBio.02527-14445352325805735Search in Google Scholar
Zhang G., Zhang W., Sadiq F.A., Arbab S.K., Guoqing He G.: Microbiota succession and metabolite changes during the traditional sourdough fermentation of Chinese steamed bread. CyTA – Journal of Food, 17, 172–179 (2019)ZhangG.ZhangW.SadiqF.A.ArbabS.K.Guoqing HeG.Microbiota succession and metabolite changes during the traditional sourdough fermentation of Chinese steamed bread.CyTA – Journal of Food17172179201910.1080/19476337.2019.1569166Search in Google Scholar
Zhang J., Plowmar J.E., Tiam B., Clerens S., On S.L.W.: An improved method for MALDI-TOF analysis of wine-associated yeasts. J. Microbiol. Meth. 172, 105904 (2020)ZhangJ.PlowmarJ.E.TiamB.ClerensS.OnS.L.W.An improved method for MALDI-TOF analysis of wine-associated yeasts.J. Microbiol. Meth.172105904202010.1016/j.mimet.2020.10590432229264Search in Google Scholar
Zhao M., Su X.Q, Nian B., Chen L.J., Zhang D.L., Duan S.M., Ma Y.: Integrated meta-omics approaches to understand the microbiome of spontaneous fermentation of traditional Chinese Pu-erh tea. Msysystems, 4, e00680 (2019)ZhaoM.SuX.QNianB.ChenL.J.ZhangD.L.DuanS.M.MaY.Integrated meta-omics approaches to understand the microbiome of spontaneous fermentation of traditional Chinese Pu-erh tea.Msysystems4e00680201910.1128/mSystems.00680-19686787731744906Search in Google Scholar
Zheng X., Liu F., Shi X., Wang B., Li K., Li B.: Dynamic correlations between microbiota succession and flavor development involved in the ripening of Kazak artisanal cheese. Food Res. Intern. 105, 733–742 (2018)ZhengX.LiuF.ShiX.WangB.LiK.LiB.Dynamic correlations between microbiota succession and flavor development involved in the ripening of Kazak artisanal cheese.Food Res. Intern105733742201810.1016/j.foodres.2017.12.00729433268Search in Google Scholar
Zhou B., Ma C., Ren X.Y., Xia T., Zheng Ch., Liu X.: Correlation analysis between filamentous fungi and chemical compositions in a Pu-erh type tea after a long-term storage. Food. Sci. Nutr. 8, 2501–2511 (2020)ZhouB.MaC.RenX.Y.XiaT.ZhengCh.LiuX.Correlation analysis between filamentous fungi and chemical compositions in a Pu-erh type tea after a long-term storage.Food. Sci. Nutr825012511202010.1002/fsn3.1543721520132405406Search in Google Scholar
Zhou B., Ma C., Ren X., Xia T., Li X., Wu Y.: Production of theophylline via aerobic fermentation of Pu-erh tea using tea-derived fungi. BMC Microbiol. 19, 261 (2019)ZhouB.MaC.RenX.XiaT.LiX.WuY.Production of theophylline via aerobic fermentation of Pu-erh tea using tea-derived fungi.BMC Microbiol19261201910.1186/s12866-019-1640-2687869931771506Search in Google Scholar
Zhu M., Li N., Zhou F., Ouyang J., Lu D., Xu W., Li J., Lin H., Zhang Z., Xiao J., Wang K., Huang J., Liu Z., Wu J.: Microbial bioconversion of the chemical components in dark tea. Food Chem. 312, 126043 (2020)ZhuM.LiN.ZhouF.OuyangJ.LuD.XuW.LiJ.LinH.ZhangZ.XiaoJ.WangK.HuangJ.LiuZ.WuJ.Microbial bioconversion of the chemical components in dark tea.Food Chem312126043202010.1016/j.foodchem.2019.12604331896450Search in Google Scholar
Zhu Y.C., Luo Y.H., Wang P.P., Zhao MY., Li L., Hu XS., Chen F.: Simultaneous determination of free amino acids in Pu-erh tea and their changes during fermentation. Food. Chem. 194, 643–649 (2016)ZhuY.C.LuoY.H.WangP.P.ZhaoMY.LiL.HuXS.ChenF.Simultaneous determination of free amino acids in Pu-erh tea and their changes during fermentation.Food. Chem194643649201610.1016/j.foodchem.2015.08.05426471603Search in Google Scholar
