Molecular breeding

Molecular breeding is the application of molecular biology tools, often in plant breeding [1][2] and animal breeding [3][4]

The areas of molecular breeding include:

Aspects of Molecular Breeding

Marker assisted breeding

Genotyping and creating molecular maps - genomics
The commonly used markers include Simple sequence repeats (or microsatellites), single nucleotide polymorphisms (SNP). The process of identification of plant genotypes is known as genotyping.

Development of SNPs has revolutionized the molecular breeding process as it helps to create dense markers. Another area that is developing is genotyping by sequencing.

Phenotyping - phenomics
To identify genes associated with traits, it is important to measure the trait value - known as phenotype. "omics" for measurement of phenotypes is called phenomics. The phenotype can be indicative of the measurement of the trait itself or an indirectly related or correlated trait.
QTL mapping or association mapping
Genes (Quantitative trait loci (abbreviated as QTL) or quantitative trait genes or minor genes or major genes) involved in controlling trait of interest is identified. The process is known as mapping. Mapping of such genes can be done using molecular markers. QTL mapping can involve single large family, unrelated individuals or multiple families (see: Family based QTL mapping). The basic idea is to identify genes or markers associated with genes that correlate to a phenotypic measurement and that can be used in marker assisted breeding / selection
Marker assisted selection or genetic selection
Once genes or markers are identified, they can be used for genotyping and selection decisions can be made.
Marker-assisted backcrossing (MABC)
Backcross is crossing F1 with its parents to transfer a limited number of loci (e.g. transgene, disease resistance loci, etc.) from one genetic background to another. Usually the recipient of such genes is good adapted cultivars otherwise except the gene that is to be transferred. So we want to keep genetic background of the recipient genotypes, which is done by 4-6 rounds of repeated backcrosses while selecting for the gene of interest. We can use markers from the whole genome to recover the genome quickly in 2-3 rounds of backcrossing might be good enough in such situation.
Marker-assisted recurrent selection (MARS)
MARS include identification and selection of several genomic regions (up to 20 or even more) for complex traits within a single population.
Genomic selection
Genomic selection is novel approach to traditional marker-assisted selection where selection are made based on few markers.[5] Rather than seeking to identify individual loci significantly associated with a trait, genomics uses all marker data as predictors of performance and consequently delivers more accurate predictions. Selection can be based on genomic selection predictions, potentially leading to more rapid and lower cost gains from breeding. Genomic prediction combines marker data with phenotypic and pedigree data (when available) in an attempt to increase the accuracy of the prediction of breeding and genotypic values.[8]

Genetic transformation or Genetic engineering

Transfer of genes make it possible for horizontal transfer of genes from one organism to another. Thus plants can receive genes from humans or algae or any other organism. This provides limitless opportunity in breeding crop plants.

References

  1. Voosen P (2009) Molecular Breeding Makes Crops Hardier and More Nutritious Markers, knockouts and other technical advances improve breeding without modifying genes, Scientific American
  2. Stephen P. Moose* and Rita H. Mumm (2008) Molecular Plant Breeding as the Foundation for 21st Century Crop Improvement, Plant Physiology 147:969-977
  3. Dekkers, Jack C. M.; Hospital, Frédéric. "MULTIFACTORIAL GENETICSTHE USE OF MOLECULAR GENETICS IN THE IMPROVEMENT OF AGRICULTURAL POPULATIONS". Nature Reviews Genetics. 3 (1): 22–32. doi:10.1038/nrg701.
  4. C.M. Dekkers, Jack. "Application of Genomics Tools to Animal Breeding". Current Genomics. 13 (3): 207–212. doi:10.2174/138920212800543057. PMC 3382275. PMID 23115522.
  5. 1 2 Meuwissen, T. H. E.; Hayes, B. J.; Goddard, M. E. (2001-04-01). "Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps". Genetics. 157 (4): 1819–1829. ISSN 0016-6731. PMC 1461589. PMID 11290733.
  6. Jannink, Jean-Luc; Lorenz, Aaron J.; Iwata, Hiroyoshi (2010-03-01). "Genomic selection in plant breeding: from theory to practice". Briefings in Functional Genomics. 9 (2): 166–177. doi:10.1093/bfgp/elq001. ISSN 2041-2649. PMID 20156985.
  7. Heffner, Elliot L.; Sorrells, Mark E.; Jannink, Jean-Luc (2009-01-01). "Genomic Selection for Crop Improvement". Crop Science. 49 (1). doi:10.2135/cropsci2008.08.0512. ISSN 1435-0653.
  8. Goddard, ME; Hayes, BJ (2007). "Genomic selection". Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie. 124 (6): 323–30. doi:10.1111/j.1439-0388.2007.00702.x. PMID 18076469.

Further reading

  • Baker, R. J. (1 September 1986). Selection indices in plant breeding. CRC Press. ISBN 978-0-8493-6377-1.
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