Advertisement

Future Prospects for Peanut Improvement

Chapter
Part of the Compendium of Plant Genomes book series (CPG)

Abstract

Evolution in sequencing technologies led to reduction in costs and increase in speed for generating sequence data. The affordability of low-cost sequencing is expected to make other genotyping platforms obsolete in next couple of years. The concept of “single genome sequence” in a crop has evolved to sequencing of multiple genomes to assemble pangenomes. Sequencing combined with precise phenotyping of segregating populations and germplasm collections is expected to measure the accurate genetic diversity present in the germplasm as well as to identify the gene/nucleotide associated with the trait(s). It is time now to move toward using multi-parents populations from bi-parental populations for trait discovery and identify superior haplotypes. Availability of information on functional variation for genes controlling traits of interest will eventually help in manipulating genes more routinely using appropriate technologies such as marker-assisted selection/backcrossing, genomic selection, and genome editing. This chapter provides expected use of genome sequence and allied information on peanut for accelerating biology research as well as peanut improvement.

References

  1. Bertioli DJ, Cannon SB, Froenicke L et al (2016) The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut. Nat Genet 48:438–446CrossRefPubMedGoogle Scholar
  2. Chen X, Li H, Pandey MK et al (2016) Draft genome of the peanut A-genome progenitor (Arachis duranensis) provides insights into geocarpy, oil biosynthesis, and allergens. PNAS 113:6785–6790CrossRefPubMedPubMedCentralGoogle Scholar
  3. Chu Y, Wu CL, Holbrook CC, Tillman BL, Person G, Ozias-Akins P (2011) Marker assisted selection to pyramid nematode resistance and the high oleic trait in peanut. Plant Genome 4:110–117CrossRefGoogle Scholar
  4. Goodwin S, PcPherson JD, McCombie WR (2016) Coming of age: ten years of next-generation sequencing technologies. Nat Rev Genet 17:333–351CrossRefPubMedGoogle Scholar
  5. Janila P, Pandey MK, Shasidhar Y et al (2016) Molecular breeding for introgression of fatty acid desaturase mutant alleles (ahFAD2A and ahFAD2B) enhances oil quality in high and low oil containing peanut genotypes. Plant Sci 242:203–213CrossRefPubMedGoogle Scholar
  6. Krapovickas A, Gregory WC (1994) Taxonomía del género Arachis (Leguminosae). Bonplandia 8:1–186Google Scholar
  7. Morrell PL, Buckler ES, Ross-Ibarra J (2012) Crop genomics: advances and applications. Nat Rev Genet 13:85–96Google Scholar
  8. Pandey MK, Monyo E, Ozias-Akins P, et al (2012) Advances in Arachis genomics for peanut improvement. Biotechnol Adv 30(3):639–651Google Scholar
  9. Pandey MK, Agarwal G, Kale SM, et al (2017) Development and evaluation of a high density genotyping ‘Axiom_Arachis’ array with 58 K SNPs for accelerating genetics and breeding in groundnut. Sci Rep 7:40577Google Scholar
  10. Pandey MK, Roorkiwal M, Singh VK et al (2016) Emerging genomic tools for legume breeding: current status and future prospects. Front Plant Sci 7:455PubMedPubMedCentralGoogle Scholar
  11. Valls JFM, Simpson CE (2005) New species of Arachis (Leguminosae) from Brazil, Paraguay and Bolivia. Bonplandia 14:35–63Google Scholar
  12. Varshney RK, Mohan SM, Gaur PM et al (2013) Achievements and prospects of genomics-assisted breeding in three legume crops of the semi-arid tropics. Biotechnol Adv 31:1120–1134CrossRefPubMedGoogle Scholar
  13. Varshney RK, Pandey MK, Janila P et al (2014) Marker assisted introgression of a QTL region to improve rust resistance in three elite and popular varieties of peanut (Arachis hypogaea L.). Theor Appl Genet 127:1771–1781CrossRefPubMedPubMedCentralGoogle Scholar
  14. Varshney RK, Singh VK, Hickey J et al (2015) Analytical and decision support tools for genomics-assisted breeding. Trends Plant Sci. doi: 10.1016/j.tplants.2015.10.018
  15. Wood AJ, Lo T-W, Zeitler B, et al (2011) Targeted genome editing across species using ZFNs and TALENs. Science (New York, NY) 333(6040):307Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)PatancheruIndia
  2. 2.University of Western Australia (UWA)CrawleyAustralia
  3. 3.New Mexico State University, Agricultural Science CenterClovisUSA

Personalised recommendations