Genome mapping in cassava improvement: Challenges, achievements and opportunities

Citation
M. Fregene et al., Genome mapping in cassava improvement: Challenges, achievements and opportunities, EUPHYTICA, 120(1), 2001, pp. 159-165
Citations number
12
Categorie Soggetti
Plant Sciences
Journal title
EUPHYTICA
ISSN journal
00142336 → ACNP
Volume
120
Issue
1
Year of publication
2001
Pages
159 - 165
Database
ISI
SICI code
0014-2336(2001)120:1<159:GMICIC>2.0.ZU;2-K
Abstract
Breeding goals of yield increases, root quality improvement, and disease re sistance in cassava are considerably slowed down by biological characterist ics of the crop, which includes a long growth cycle, a heterozygous genetic background and a poor knowledge of the organization of crop diversity. The se factors severely hamper the speed and ease of moving around useful genes in cassava. The consequences are that cassava production fails to keep up with demand, especially in regions where over 90% of yield is consumed as f ood, leading to an increase in acreage of cassava fields mostly into margin al lands. The advent of molecular markers, genome studies and plant genetic transformation holds promise of providing ways around breeding obstacles i n long growth cycle and heterozygous crops. A number of these new tools, in cluding a molecular genetic map, markers linked to disease resistance genes , and marker-aided studies of complex traits now exist or are being develop ed for cassava at CIAT. Large scale sequencing and mapping of expressed seq uence tags (ESTs) have been initiated, towards a transcript map of cassava and the implementation of the candidate-gene approach to complex trait mapp ing. A cassava bacterial artificial chromosome (BAC) library has also been constructed to expedite positional cloning of genes, known only by their ph enotypes and their position relative to markers on a molecular genetic map and complementation studies of candidate loci. Studies of genes that contro l traits of agronomic importance, and their allelic diversity in nature, pr ovides powerful tools for understanding the basis of crop performance and i mprovement.