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Development of genome-wide insertion/deletion markers in rice based on graphic pipeline platform 被引量:9
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作者 Yang L Xiao Cui +6 位作者 Rui Li Piaopiao Huang Jie Zong Danqing Yao Gang Li Dabing Zhang Zheng Yuan 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2015年第11期980-991,共12页
DNA markers play important roles in plant breed- ing and genetics. The Insertion/Deletion (InDel) marker is one kind of co-dominant DNA markers widely used due to its low cost and high precision. However, the canoni... DNA markers play important roles in plant breed- ing and genetics. The Insertion/Deletion (InDel) marker is one kind of co-dominant DNA markers widely used due to its low cost and high precision. However, the canonical way of searching for InDel markers is time-consuming and labor- intensive. We developed an end-to-end computational solution (InDel Markers Development Platform, IMDP) to identify genome-wide InDel markers under a graphic pipeline environment. IMDP constitutes assembled genome sequen- ces alignment pipeline (AGA-pipe) and next-generation re- sequencing data mapping pipeline (NGS-pipe). With AGA-pipe we are able to identify 12,944 markers between the genome of rice cultivars Nipponbare and 93-11. Using NGS-pipe, we reported 34,794 InDels from re-sequencing data of rice cultivars Wu-Yun-Geng7 and Guang-Lu-Ai4. Combining AGA- pipe and NGS-pipe, we developed 2o5,659 InDels in eight japonica and nine indica cultivars and 2,681 InDels showed a subgroup-specific pattern. Polymerase chain reaction (PCR) analysis of subgroup-specific markers indicated that the precision reached 90% (86 of 95). Finally, to make them available to the public, we have integrated the InDels/markers information into a website (Rice InDel Marker Database, RIMD, http:I/2o2.12o.45.71/). The application of IMDP in rice will facilitate efficiency for development of genome-wide InDel markers, in addition it can be used in other species with reference genome sequences and NGS data. 展开更多
关键词 Genetic polymorphism genome alignment InDel marker molecular breeding next-generation sequencing
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