Nontargeted Metabolite Profiling in Next-Generation Plant Breeding: A Case Study in Malting Barley

被引:0
|
作者
Heuberger, Adam [1 ]
Broeckling, Corey D. [1 ]
Prenni, Jessica [1 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
关键词
BIOLOGY;
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Nontargeted metabolite profiling by ultrahigh-pressure liquid chromatography mass spectrometry (UHPLC-MS) is a powerful technique to investigate the influence of genetic and environmental factors on metabolic phenotypes in plants. The approach offers an unbiased and in-depth analysis that can reveal molecular markers of desirable phenotypic traits that can be complementary to genetic markers in plant breeding efforts. Here, the power of nontargeted metabolite profiling is illustrated in a study focused on the determination of molecular markers in malting barley that are predictive of desirable malting quality for brewing applications.
引用
收藏
页码:154 / 158
页数:5
相关论文
共 50 条
  • [31] Research priorities for next-generation breeding of tropical forages in Brazil
    Pereira, Jorge Fernando
    Sousa Azevedo, Ana Luisa
    Pessoa-Filho, Marco
    da Costa Romanel, Elisson Antonio
    Vander Pereira, Antonio
    Zanotto Vigna, Bianca Baccili
    Sobrinho, Fausto de Souza
    Gandolfi Benites, Flavio Rodrigo
    da Silva Ledo, Francisco Jose
    de Brito, Giovani Greigh
    Xavier Meireles, Karem Guimaraes
    Cavallari, Marcelo Mattos
    Simeao, Rosangela Maria
    Machado, Juarez Campolina
    CROP BREEDING AND APPLIED BIOTECHNOLOGY, 2018, 18 (03): : 314 - 319
  • [32] Physiology Based Approaches for Breeding of Next-Generation Food Legumes
    Shunmugam, Arun S. K.
    Kannan, Udhaya
    Jiang, Yunfei
    Daba, Ketema A.
    Gorim, Linda Y.
    PLANTS-BASEL, 2018, 7 (03):
  • [33] Next-Generation Breeding Strategies for Climate-Ready Crops
    Razzaq, Ali
    Kaur, Parwinder
    Akhter, Naheed
    Wani, Shabir Hussain
    Saleem, Fozia
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [34] Next-generation sequencing technologies and their implications for crop genetics and breeding
    Varshney, Rajeev K.
    Nayak, Spurthi N.
    May, Gregory D.
    Jackson, Scott A.
    TRENDS IN BIOTECHNOLOGY, 2009, 27 (09) : 522 - 530
  • [35] Digitalizing breeding in plants: A new trend of next-generation breeding based on genomic prediction
    Jeon, Donghyun
    Kang, Yuna
    Lee, Solji
    Choi, Sehyun
    Sung, Yeonjun
    Lee, Tae-Ho
    Kim, Changsoo
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [36] Targeted Next-Generation Sequencing for Comprehensive Genetic Profiling of Pharmacogenes
    Han, S. M.
    Park, J.
    Lee, J. H.
    Lee, S. S.
    Kim, H.
    Han, H.
    Kim, Y.
    Yi, S.
    Cho, J-Y
    Jang, I-J
    Lee, M. G.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2017, 101 (03) : 396 - 405
  • [37] Genetic profiling of hepatocellular carcinoma using next-generation sequencing
    Schulze, Kornelius
    Nault, Jean-Charles
    Villanueva, Augusto
    JOURNAL OF HEPATOLOGY, 2016, 65 (05) : 1031 - 1042
  • [38] A Novel Autonomous Profiling Method for the Next-Generation NFV Orchestrators
    Moazzeni, Shadi
    Jaisudthi, Pratchaya
    Bravalheri, Anderson
    Uniyal, Navdeep
    Vasilakos, Xenofon
    Nejabati, Reza
    Simeonidou, Dimitra
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (01): : 642 - 655
  • [39] Genomic Profiling of the Craniofacial Ossifying Fibroma by Next-Generation Sequencing
    Bahceci, Dorukhan H. H.
    Grenert, James P. P.
    Jordan, Richard C. K.
    Horvai, Andrew E. E.
    HEAD & NECK PATHOLOGY, 2023, 17 (03): : 722 - 730
  • [40] Next-generation profiling to identify the molecular etiology of Parkinson dementia
    Henderson-Smith, Adrienne
    Corneveaux, Jason J.
    De Both, Matthew
    Cuyugan, Lori
    Liang, Winnie S.
    Huentelman, Matthew
    Adler, Charles
    Driver-Dunckley, Erika
    Beach, Thomas G.
    Dunckley, Travis L.
    NEUROLOGY-GENETICS, 2016, 2 (03)