Functional Markers for Precision Plant Breeding

被引:80
作者
Salgotra, Romesh K. [1 ]
Stewart, C. Neal, Jr. [2 ]
机构
[1] Sher e Kashmir Univ Agr Sci & Technol Jammu, Sch Biotechnol, Jammu 190008, India
[2] Univ Tennessee, Dept Plant Sci, Knoxville, TN 37996 USA
关键词
functional markers; functional sequence characterization; precision plant breeding; elite cultivar; BACTERIAL-BLIGHT RESISTANCE; RICE ORYZA-SATIVA; SINGLE NUCLEOTIDE POLYMORPHISM; QUANTITATIVE TRAIT LOCI; MOLECULAR MARKER; ASSISTED SELECTION; COMMON WHEAT; CONFERS RESISTANCE; GENETIC DIVERSITY; MILDEW RESISTANCE;
D O I
10.3390/ijms21134792
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Advances in molecular biology including genomics, high-throughput sequencing, and genome editing enable increasingly faster and more precise cultivar development. Identifying genes and functional markers (FMs) that are highly associated with plant phenotypic variation is a grand challenge. Functional genomics approaches such as transcriptomics, targeting induced local lesions in genomes (TILLING), homologous recombinant (HR), association mapping, and allele mining are all strategies to identify FMs for breeding goals, such as agronomic traits and biotic and abiotic stress resistance. The advantage of FMs over other markers used in plant breeding is the close genomic association of an FM with a phenotype. Thereby, FMs may facilitate the direct selection of genes associated with phenotypic traits, which serves to increase selection efficiencies to develop varieties. Herein, we review the latest methods in FM development and how FMs are being used in precision breeding for agronomic and quality traits as well as in breeding for biotic and abiotic stress resistance using marker assisted selection (MAS) methods. In summary, this article describes the use of FMs in breeding for development of elite crop cultivars to enhance global food security goals.
引用
收藏
页码:1 / 33
页数:33
相关论文
共 226 条
[1]  
Abdel-Mawgood AL, 2012, GENETIC DIVERSITY IN MICROORGANISMS, P95
[2]   Genetic Gains in Grain Yield of a Maize Population Improved through Marker Assisted Recurrent Selection under Stress and Non-stress Conditions in West Africa [J].
Abdulmalik, Rekiya O. ;
Menkir, Abebe ;
Meseka, Silvestro K. ;
Unachukwu, Nnanna ;
Ado, Shehu G. ;
Olarewaju, Joseph D. ;
Aba, Daniel A. ;
Hearne, Sarah ;
Crossa, Jose ;
Gedil, Melaku .
FRONTIERS IN PLANT SCIENCE, 2017, 8
[3]   RNA Interference for Functional Genomics and Improvement of Cotton (Gossypium sp.) [J].
Abdurakhmonov, Ibrokhim Y. ;
Ayubov, Mirzakamol S. ;
Ubaydullaeva, Khurshida A. ;
Buriev, Zabardast T. ;
Shermatov, Shukhrat E. ;
Ruziboev, Haydarali S. ;
Shapulatov, Umid M. ;
Saha, Sukumar ;
Ulloa, Mauricio ;
Yu, John Z. ;
Percy, Richard G. ;
Devor, Eric J. ;
Sharma, Govind C. ;
Sripathi, Venkateswara R. ;
Kumpatla, Siva P. ;
van der Krol, Alexander ;
Kater, Hake D. ;
Khamidov, Khakimdjan ;
Salikhov, Shavkat I. ;
Jenkins, Johnie N. ;
Abdukarimov, Abdusattor ;
Pepper, Alan E. .
FRONTIERS IN PLANT SCIENCE, 2016, 7
[4]   Molecular markers based on sequence variation in BoFLC1.C9 for characterizing early- and late-flowering cabbage genotypes [J].
Abuyusuf, Md ;
Nath, Ujjal Kumar ;
Kim, Hoy-Taek ;
Islam, Md Rafiqul ;
Park, Jong-In ;
Nou, Ill-Sup .
BMC GENETICS, 2019, 20 (1)
[5]   Mapping of quantitative trait loci for basmati quality traits in rice (Oryza sativa L.) [J].
Amarawathi, Yellari ;
Singh, Rakesh ;
Singh, Ashok K. ;
Singh, Vijai P. ;
Mohapatra, Trilochan ;
Sharma, Tilak R. ;
Singh, Nagendra K. .
MOLECULAR BREEDING, 2008, 21 (01) :49-65
[6]  
Amom T., 2017, Int J Cur Res Rev, V9, P1, DOI [10.7324/IJCRR.2017.9171, DOI 10.7324/IJCRR.2017.9171]
[7]   Distribution of Vernalization and Photoperiod Genes (Vrn-A1, Vrn-B1, Vrn-D1, Vrn-B3, Ppd-D1) in Turkish Bread Wheat Cultivars and Landraces [J].
Andeden, E. E. ;
Yediay, F. E. ;
Baloch, F. S. ;
Shaaf, S. ;
Kilian, B. ;
Nachit, M. ;
Ozkan, H. .
CEREAL RESEARCH COMMUNICATIONS, 2011, 39 (03) :352-364
[8]   Functional markers in plants [J].
Andersen, JR ;
Lübberstedt, T .
TRENDS IN PLANT SCIENCE, 2003, 8 (11) :554-560
[9]  
Angaji SA, 2010, PLANT OMICS, V3, P77
[10]   Mapping QTLs and candidate genes for iron and zinc concentrations in unpolished rice of Madhukar x Swarna RILs [J].
Anuradha, K. ;
Agarwal, Surekha ;
Rao, Y. Venkateswara ;
Rao, K. V. ;
Viraktamath, B. C. ;
Sarla, N. .
GENE, 2012, 508 (02) :233-240