Identification of Porphyra lines (Rhodophyta) by AFLP DNA fingerprinting and molecular markers

Twenty-seven Porphyra lines from 5 classes, including lines widely used in China, wild lines, and lines introduced to China from abroad in recent years, were screened by means of amplified fragment length polymorphism (AFLP) with 24 primer pairs. From the generated AFLP products, 13 bands that showed stable and repeatable AFLP patterns amplified by primer pairs M-CGA/E-AA and M-CGA/E-TA were scored and used to develop the DNA fingerprints of the 27 Porphyra lines. Moreover, the DNA fingerprinting patterns were converted into computer language expressed with digitals 1 and 0, which represented the presence (numbered as 1) or absence (numbered as 0) of the corresponding band. On the basis of these results, computerized AFLP DNA fingerprints were constructed in which each of the 27 Porphyra lines has its unique AFLP,fingerprinting pattern and can be easily distinguished from others. Software called PGI-AFLP (Porphyra germplasm identification-AFLP) was designed for identification of the 27 Porphyra lines. In addition, 21 specific AFLP markers from 15 Porphyra lines were identified; 6 AFLP markers from 4 Porphyra lines were sequenced, and 2 of them were successfully converted into SCAR (sequence characterized amplification region) markers. The developed AFLP DNA fingerprinting and specific molecular markers provide useful ways for the identification, classification, and resource protection of the Porphyra lines.

Twenty-seven Porphyra lines from 5 classes, including lines widely used in China, wild lines, and lines introduced to China from abroad in recent years, were screened by means of amplified fragment length polymorphism (AFLP) with 24 primer pairs. From the generated AFLP products, 13 bands that showed stable and repeatable AFLP patterns amplified by primer pairs M-CGA/E-AA and M-CGA/E-TA were scored and used to develop the DNA fingerprints of the 27 Porphyra lines. Moreover, the DNA fingerprinting patterns were converted into computer language expressed with digitals 1 and 0, which represented the presence (numbered as 1) or absence (numbered as 0) of the corresponding band. On the basis of these results, computerized AFLP DNA fingerprints were constructed in which each of the 27 Porphyra lines has its unique AFLP,fingerprinting pattern and can be easily distinguished from others. Software called PGI-AFLP (Porphyra germplasm identification-AFLP) was designed for identification of the 27 Porphyra lines. In addition, 21 specific AFLP markers from 15 Porphyra lines were identified; 6 AFLP markers from 4 Porphyra lines were sequenced, and 2 of them were successfully converted into SCAR (sequence characterized amplification region) markers. The developed AFLP DNA fingerprinting and specific molecular markers provide useful ways for the identification, classification, and resource protection of the Porphyra lines.