JOURNAL ARTICLE

A draft physical map of a D-genome cotton species (Gossypium raimondii)

Lifeng Lin, Gary J Pierce, John E Bowers, James C Estill, Rosana O Compton, Lisa K Rainville, Changsoo Kim, Cornelia Lemke, Junkang Rong, Haibao Tang, Xiyin Wang, Michele Braidotti, Amy H Chen, Kristen Chicola, Kristi Collura, Ethan Epps, Wolfgang Golser, Corrinne Grover, Jennifer Ingles, Santhosh Karunakaran, Dave Kudrna, Jaime Olive, Nabila Tabassum, Eareana Um, Marina Wissotski, Yeisoo Yu, Andrea Zuccolo, Mehboob ur Rahman, Daniel G Peterson, Rod A Wing, Jonathan F Wendel, Andrew H Paterson
BMC Genomics 2010, 11: 395
20569427

BACKGROUND: Genetically anchored physical maps of large eukaryotic genomes have proven useful both for their intrinsic merit and as an adjunct to genome sequencing. Cultivated tetraploid cottons, Gossypium hirsutum and G. barbadense, share a common ancestor formed by a merger of the A and D genomes about 1-2 million years ago. Toward the long-term goal of characterizing the spectrum of diversity among cotton genomes, the worldwide cotton community has prioritized the D genome progenitor Gossypium raimondii for complete sequencing.

RESULTS: A whole genome physical map of G. raimondii, the putative D genome ancestral species of tetraploid cottons was assembled, integrating genetically-anchored overgo hybridization probes, agarose based fingerprints and 'high information content fingerprinting' (HICF). A total of 13,662 BAC-end sequences and 2,828 DNA probes were used in genetically anchoring 1585 contigs to a cotton consensus genetic map, and 370 and 438 contigs, respectively to Arabidopsis thaliana (AT) and Vitis vinifera (VV) whole genome sequences.

CONCLUSION: Several lines of evidence suggest that the G. raimondii genome is comprised of two qualitatively different components. Much of the gene rich component is aligned to the Arabidopsis and Vitis vinifera genomes and shows promise for utilizing translational genomic approaches in understanding this important genome and its resident genes. The integrated genetic-physical map is of value both in assembling and validating a planned reference sequence.

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