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Published on: June 4, 2019
A high-throughput BAC end analysis protocol (BAC-anchor) for profiling genome assembly and physical mapping.
Xiaohui Yang1,2, Yu Yang1, Jian Ling2
1Vegetable and Flower Research Institute of Shandong Academy of Agricultural Sciences, Molecular Biology Key Laboratory of Shandong Facility Vegetable, National Vegetable Improvement Center Shandong Sub-Center, Huang-Huai-Hai Region Scientific Observation and Experimental Station of Vegetables, Ministry of Agriculture and Rural Affairs, Jinan, China.
We developed BAC-anchor, a low-cost method for bacterial artificial chromosome (BAC) end sequencing, to analyze large genomic gaps in polyploids. This approach aids in understanding complex genomes and assembling new ones efficiently.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Sequencing bacterial artificial chromosome (BAC) library insertion ends is crucial for understanding polyploid genomes but is often laborious and expensive.
- Existing methods present bottlenecks, hindering comprehensive genomic analysis of auto- or allopolyploid species.
Purpose of the Study:
- To develop an efficient and cost-effective protocol for BAC end analysis.
- To identify paired-end reads containing large internal gaps for improved genome assembly.
Main Methods:
- Developed BAC-anchor, a protocol identifying high-throughput sequencing reads with restriction enzyme cutting sites.
- Mapped read ends to identify large internal gaps using restriction enzymes Cla I and Mlu I on potato cultivar C88 BAC libraries.
- Analyzed over 3,200,000 BAC end clones.
Main Results:
- Approximately 25% of BAC end reads with cutting sites revealed 60–100 kb internal gaps in the potato DM reference genome.
- Identified 5341 Cla I- and 165 Mlu I-derived unique reads mapped to different chromosomes.
- Confirmed large differences between autotetraploid and haploid potato genotypes.
Conclusions:
- BAC-anchor provides a low-cost, high-throughput method for analyzing BAC end libraries.
- The identified unique reads can aid in establishing physical maps and assembling complex polyploid genomes.
- This approach serves as a valuable resource for future genome sequencing studies, particularly for polyploid species.
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