【摘 要】
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Single nucleotide polymorphism(SNP)markers have a wide range of applications in crop genetics and genomics.Due to their polyploidy nature,many important crops,such as wheat,cotton and rapeseed contain
【机 构】
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National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan 430070,Ch
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Single nucleotide polymorphism(SNP)markers have a wide range of applications in crop genetics and genomics.Due to their polyploidy nature,many important crops,such as wheat,cotton and rapeseed contain a large amount of repeat and homologous sequences in their genomes,which imposes a huge challenge in high-throughput genotyping with sequencing and/or array technologies.Allotetraploid Brassica napus(AACC,2n=4x=38)comprises two highly homologous genomes derived from its progenitor species B.rapa(AA,2n=2x=20)and B.oleracea(CC,2n=2x=18).To reduce the interference of extensive inter-homologue polymorphisms between the Aand C-genomes in B.napus to the genotyping with SNP arrays,we developed a novel bi-filtering procedure to identify unauthentic lines in a DH population as well as mHemi-SNPs in an array data metrics based on a recent 6K SNP array of B.napus.
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