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A High-Throughput Arabidopsis Reverse Genetics System
Author(s) -
Allen Sessions,
Ellen Burke,
Gernot G. Presting,
George Aux,
John McElver,
David A. Patton,
Bob Dietrich,
Patrick Ho,
Johana Bacwaden,
Cynthia Ko,
Joseph D. Clarke,
David Cotton,
David Bullis,
Jennifer Snell,
Trini Miguel,
Don Hutchison,
Bill Kimmerly,
Theresa Mitzel,
Fumiaki Katagiri,
Jane Glazebrook,
M. D. Law,
Stephen A. Goff
Publication year - 2002
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.004630
Subject(s) - arabidopsis , biology , genetics , genome , gene , dna , genomic dna , computational biology , coding region , genomics , dna sequencing , mutant
A collection of Arabidopsis lines with T-DNA insertions in known sites was generated to increase the efficiency of functional genomics. A high-throughput modified thermal asymmetric interlaced (TAIL)-PCR protocol was developed and used to amplify DNA fragments flanking the T-DNA left borders from approximately 1 transformed lines. A total of 85108 TAIL-PCR products from 52964 T-DNA lines were sequenced and compared with the Arabidopsis genome to determine the positions of T-DNAs in each line. Predicted T-DNA insertion sites, when mapped, showed a bias against predicted coding sequences. Predicted insertion mutations in genes of interest can be identified using Arabidopsis Gene Index name searches or by BLAST (Basic Local Alignment Search Tool) search. Insertions can be confirmed by simple PCR assays on individual lines. Predicted insertions were confirmed in 257 of 340 lines tested (76%). This resource has been named SAIL (Syngenta Arabidopsis Insertion Library) and is available to the scientific community at www.tmri.org.

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