Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate - Wikidata - wikimedia - TriplyDB

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

http://www.wikidata.org/entity/Q35052960

about

A new perspective on microbial landscapes within food production Whole-Metagenome-Sequencing-Based Community Profiles of Vitis vinifera L. cv. Corvina Berries Withered in Two Post-harvest Conditions.Overwintering of Vineyard Yeasts: Survival of Interacting Yeast Communities in Grapes Mummified on Vines.Metagenomics insights into food fermentations Cross-species comparisons of host genetic associations with the microbiome Microbial bioinformatics for food safety and production The Relationship between pH and Bacterial Communities in a Single Karst Ecosystem and Its Implication for Soil Acidification Associations among Wine Grape Microbiome, Metabolome, and Fermentation Behavior Suggest Microbial Contribution to Regional Wine Characteristics Complexity and Dynamics of the Winemaking Bacterial Communities in Berries, Musts, and Wines from Apulian Grape Cultivars through Time and Space Aroma Profile of Montepulciano d'Abruzzo Wine Fermented by Single and Co-culture Starters of Autochthonous Saccharomyces and Non-saccharomyces Yeasts Bacterial community associated with the intestinal tract of Chinese mitten crab (Eriocheir sinensis) farmed in Lake Tai, China.Wine fermentation microbiome: a landscape from different Portuguese wine appellations.Cellar-Associated Saccharomyces cerevisiae Population Structure Revealed High-Level Diversity and Perennial Persistence at Sauternes Wine Estates.Genetic Polymorphism in Wine Yeasts: Mechanisms and Methods for Its Detection From Vineyard Soil to Wine Fermentation: Microbiome Approximations to Explain the "terroir" Concept.The Grapevine and Wine Microbiome: Insights from High-Throughput Amplicon Sequencing Analysis of plant microbe interactions in the era of next generation sequencing technologies.Resilience of the natural phyllosphere microbiota of the grapevine to chemical and biological pesticides.Understanding cultivar-specificity and soil determinants of the cannabis microbiome.Genome Sequence of Oenococcus oeni OM27, the First Fully Assembled Genome of a Strain Isolated from an Italian Wine.Genome Sequences of Five Oenococcus oeni Strains Isolated from Nero Di Troia Wine from the Same Terroir in Apulia, Southern Italy.Cheese rind communities provide tractable systems for in situ and in vitro studies of microbial diversity.Pyrosequencing reveals regional differences in fruit-associated fungal communities.Bacterial endophytic communities in the grapevine depend on pest management Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation.Accurate multiplexing and filtering for high-throughput amplicon-sequencing.Conducting a microbiome study.An Illumina metabarcoding pipeline for fungi.Explaining diversity in metagenomic datasets by phylogenetic-based feature weighting.Phenotypic evaluation of natural and industrial Saccharomyces yeasts for different traits desirable in industrial bioethanol production.Quantifying the relative roles of selective and neutral processes in defining eukaryotic microbial communities.The soil microbiome influences grapevine-associated microbiota.Host genotype is an important determinant of the cereal phyllosphere mycobiome.Bacterial biogeography in the coastal waters of northern Zhejiang, East China Sea is highly controlled by spatially structured environmental gradients.Tracking cashew economically important diseases in the West African region using metagenomics.Bacterial Community Structure and Dynamics During Corn-Based Bioethanol Fermentation.Regional microbial signatures positively correlate with differential wine phenotypes: evidence for a microbial aspect to terroir Sequence-based Analysis of the Vitis vinifera L. cv Cabernet Sauvignon Grape Must Mycobiome in Three South African Vineyards Employing Distinct Agronomic Systems Dynamic changes in microbiota and mycobiota during spontaneous 'Vino Santo Trentino' fermentation.From grape berries to wine: population dynamics of cultivable yeasts associated to "Nero di Troia" autochthonous grape cultivar.

P2860

Q26771658-195FAA6E-147F-4066-BCB8-2452BDC65C46 Q27324451-99CF0EE7-132B-4FB6-863C-31676C612FF0 Q27325166-47B5EDED-2F1A-4C1F-957E-3EE674872D81 Q28067237-C6789BEF-D801-4608-B93C-8D811B65E480 Q28075019-D07BD94F-4B8D-4672-A028-051316CAB7D8 Q28081332-DDC12C2B-57D1-4BF1-9FA8-00064857C835 Q28817312-25566444-199B-4668-BB0C-51C0E3B98B77 Q28829007-5374845F-8EEB-4EFB-9C9D-02A5575DEAEE Q28830331-1240E5C2-405B-4897-88E5-048CDFE56EE0 Q28834028-D59C6CDB-26DE-4229-A8EE-2729BD492BB6 Q30389034-2E98DD75-6FF4-493C-B626-27231CDD4108 Q30663165-DDDBC8A3-AFFF-4EAB-8E65-1EC423C9EAB6 Q30788805-5F25594E-3B67-464E-8434-1F2402593DBD Q33634273-5D40E78D-862C-4B6E-B85B-BCB0B9982A8F Q33646265-6756676C-0626-4F1B-B402-AEB9AE2548C7 Q33658898-D140100E-19BC-44B1-BFB5-169C88A47168 Q33659736-4124B674-1835-4946-8AE0-11AE63A0EE6D Q33743131-68FCE6DB-9074-4E67-943F-08F8464F386B Q33763522-8955CA37-B9E3-4B27-83A0-F967A5D8109D Q33846664-209EA32F-6532-403D-BDF3-A9C6DE5E989B Q34398695-96796D13-C028-4056-A847-F79A83FC32EE Q34463899-288F726C-3CE4-41E9-AB4C-1079E8DB5E44 Q34639677-D97F86F6-8F4F-4F1C-B64D-EB9DD98A9197 Q34666223-8DAD6300-E7B7-41CA-AB21-425C7872BBB7 Q35002670-17467ED4-36EE-46E6-ACCB-7D7BCBE85F4D Q35171591-8D18D9D5-03E2-4952-B8E7-A34D798E6875 Q35208886-E2BE65F4-4206-4E77-AFC7-67E683630F8F Q35215804-AF89552D-4994-4100-996D-E030CC163959 Q35224664-EBC79D2E-632B-4187-82C1-62DA8A2EDD1E Q35286214-7CCAD613-A448-44C8-9604-5DBAED2CCF85 Q35574553-151BE788-8A40-49CD-A7CA-9904B747F93A Q35585901-A18E298E-5C2A-4EBE-A03A-7AAA7E919070 Q35610915-40CD30E2-7D71-4F3C-8D4F-25578CA73CDB Q35614456-1B5B1EB5-9826-4FE2-827E-E88E936FD2E8 Q35691619-F62D98C5-2A65-4916-B7D1-1137466EADB1 Q35779476-B80D34DF-B760-4B9E-8AB7-37BB142A2536 Q35786092-577C1877-3CB5-425F-AC68-02278E749944 Q35863935-B0608665-19D5-4922-9379-3BD28A204C44 Q35896787-AD22EA6E-8A8D-4049-8227-2C00E61F3058 Q35939341-5C88F2FB-84B4-4B90-9A08-1427128A9A02

P2860

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

http://www.wikidata.org/entity/Q35052960

description

2013 nî lūn-bûn

@nan

2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@ast

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@en

type

label

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@ast

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@en

prefLabel

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@ast

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@en

P1433

Q35052960-BD6EDA97-31C7-4114-844C-931CF241E635

P1476

Q35052960-2748C08D-B506-4803-BD52-8FC7AC3B3A4F

P2093

Q35052960-4414EF46-8DE2-443C-9784-0BA40E9C4767

Q35052960-5A27EAFA-6845-41B6-82C4-C69E21AC5A02

Q35052960-7D15249C-813E-45A3-95F6-F5ED6C57F0C1

Q35052960-D6615157-F51D-46D2-A503-12461C97F0A2

P2860

Q35052960-00185ACA-AE1D-4908-8DFE-A4D7EF5AF0CB

Q35052960-03251F2E-E74C-482E-9EED-F69090D5A1EA

Q35052960-0AD3C1B1-06B2-4FBD-B345-2FF5659415D1

Q35052960-12D44AEB-EB95-4F5D-9574-3975964856B0

Q35052960-158BC362-BE23-488E-9330-F23E80280D16

Q35052960-1AF3FB40-882F-421B-81D9-738367BEBB2D

Q35052960-1B9B5CCE-D3CE-46DB-9C4A-28DDDDA68C17

Q35052960-254CFBFA-FEF8-4CFC-9813-D4199A4401D5

Q35052960-30707B51-7141-4E55-AF1D-6A4E42A88683

Q35052960-39B128DE-6209-4949-9A18-8BDA10CD97C2

P304

Q35052960-19295668-D395-440B-B127-CA80085C82DE

P31

Q35052960-B66CE512-B466-49B3-B1B3-7E112D5768C0

P356

Q35052960-2A82F1CB-F663-4501-A41F-EE3832BB8B9C

P407

Q35052960-5BF4BE6B-9E48-4E00-8848-DFBCF468A88D

P433

Q35052960-DA7FB288-DD1E-46E0-99A8-23BDAEF5B255

P478

Q35052960-01239757-DFC6-4CC9-AE5E-3888C0D3697D

P577

Q35052960-E054ACFC-5A6B-486F-A523-3A0FF090F413

P698

Q35052960-399D4A73-9CF7-4098-AE68-1CBEA90B17F5

P921

Q35052960-4BC074D8-7D70-4628-A7B8-B62B0E635708

P932

Q35052960-21E7EDCE-5D3E-46CE-BA8F-7322983905DC

P356

PNAS.1317377110

P1433

Proceedings of the National Academy of Sciences of the United States of America

P1476

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

@en

P2093

David A Mills

http://www.w3.org/2001/XMLSchema#string

John H Thorngate

http://www.w3.org/2001/XMLSchema#string

Nicholas A Bokulich

http://www.w3.org/2001/XMLSchema#string

Paul M Richardson

http://www.w3.org/2001/XMLSchema#string

P2860

QIIME allows analysis of high-throughput community sequencing data

GenGIS 2: geospatial analysis of traditional and genetic biodiversity, with new gradient algorithms and an extensible plugin framework.

Evidence for a persistent microbial seed bank throughout the global ocean

Next-generation sequencing reveals significant bacterial diversity of botrytized wine

Brewhouse-resident microbiota are responsible for multi-stage fermentation of American coolship ale

FastTree 2--approximately maximum-likelihood trees for large alignments

Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB

Search and clustering orders of magnitude faster than BLAST

UniFrac: a new phylogenetic method for comparing microbial communities.

Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy

P304

E139-48

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1073/PNAS.1317377110

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

111

http://www.w3.org/2001/XMLSchema#string

P577

2013-11-25T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

24277822

http://www.w3.org/2001/XMLSchema#string

P921

P932

3890796

http://www.w3.org/2001/XMLSchema#string