ArticleJournal of biomedicine & biotechnology2010
Construction and characterization of a bacterial artificial chromosome library for the A-genome of cotton (G. arboreum L.).
Article in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Construction and characterization of a bacterial artificial chromosome library for Gossypium mustelinum.PloS one · 2018Article
- Article
- Construction and analysis of Siberian tiger bacterial artificial chromosome library with approximately 6.5-fold genome equivalent coverage.International journal of molecular sciences · 2014Article
- Article
- Construction and preliminary characterization analysis of Wuzhishan miniature pig bacterial artificial chromosome library with approximately 8-fold genome equivalent coverage.BioMed research international · 2013Article
- Toward allotetraploid cotton genome assembly: integration of a high-density molecular genetic linkage map with DNA sequence information.BMC genomics · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A bacterial artificial chromosome (BAC) library for the A-genome of cotton has been constructed from the leaves of G. arboreum L cv. Jianglinzhongmian. It is used as elite A-genome germplasm resources in the present cotton breeding program and has been used to build a genetic reference map of cotton. The BAC library consists of 123,648 clones stored in 322 384-well plates. Statistical analysis of a set of 103 randomly selected BAC clones indicated that each clone has an average insert length of 100.2 kb per plasmid, with a range of 30 to 190 kb. Theoretically, this represents 7.2 haploid genome equivalents based on an A-genome size of 1697 Mb. The BAC library has been arranged in column pools and superpools allowing screening with various PCR-based markers. In the future, the A-genome cotton BAC library will serve as both a giant gene resource and a valuable tool for map-based gene isolation, physical mapping and comparative genome analysis.
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