Quantitative proteomic analyses of two soybean low phytic acid mutants to identify the genes associated with seed field emergence
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2229
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Quantitative proteomic analyses of two soybean low phytic acid mutants to identify the genes associated with seed field emergence ; volume:19 ; number:1 ; day:19 ; month:12 ; year:2019 ; pages:1-14 ; date:12.2019
BMC plant biology ; 19, Heft 1 (19.12.2019), 1-14, 12.2019
- Urheber
-
Yu, Xiaomin
Jin, Hangxia
Fu, Xujun
Yang, Qinghua
Yuan, Fengjie
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12870-019-2201-4
- URN
-
urn:nbn:de:101:1-2020040819354618353168
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yu, Xiaomin
- Jin, Hangxia
- Fu, Xujun
- Yang, Qinghua
- Yuan, Fengjie
- SpringerLink (Online service)
Ähnliche Objekte (12)
Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants
Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
Functional characterization of soybean strigolactone biosynthesis and signaling genes in Arabidopsis MAX mutants and GmMAX3 in soybean nodulation
Proteomic analysis of protein lysine 2-hydroxyisobutyrylation (Khib) in soybean leaves
Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate
Efficient screening techniques to identify mutants with tr4 resistance in banana : protocols
Proteomic Mendelian randomization to identify protein biomarkers of telomere length
Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis
NanoUPLC-MSE proteomic data assessment of soybean seeds using the Uniprot database
Novel approaches to identify and characterise dominant negative mutants of essential MCMV genes
Fear the mutants. Love the mutants.
Proteomic analysis of soybean defense response induced by cotton worm (prodenia litura, fabricius) feeding
Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants
Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
Functional characterization of soybean strigolactone biosynthesis and signaling genes in Arabidopsis MAX mutants and GmMAX3 in soybean nodulation
Proteomic analysis of protein lysine 2-hydroxyisobutyrylation (Khib) in soybean leaves
Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate
Efficient screening techniques to identify mutants with tr4 resistance in banana : protocols
Proteomic Mendelian randomization to identify protein biomarkers of telomere length
Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis
NanoUPLC-MSE proteomic data assessment of soybean seeds using the Uniprot database
Novel approaches to identify and characterise dominant negative mutants of essential MCMV genes
Fear the mutants. Love the mutants.
Proteomic analysis of soybean defense response induced by cotton worm (prodenia litura, fabricius) feeding
Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants
Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
Functional characterization of soybean strigolactone biosynthesis and signaling genes in Arabidopsis MAX mutants and GmMAX3 in soybean nodulation
Proteomic analysis of protein lysine 2-hydroxyisobutyrylation (Khib) in soybean leaves
Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate
Efficient screening techniques to identify mutants with tr4 resistance in banana : protocols
Proteomic Mendelian randomization to identify protein biomarkers of telomere length
Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis
NanoUPLC-MSE proteomic data assessment of soybean seeds using the Uniprot database
Novel approaches to identify and characterise dominant negative mutants of essential MCMV genes
Fear the mutants. Love the mutants.