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THE UTILITY OF PROTEOMICS IN ALGAL TAXONOMY: BOSTRYCHIA RADICANS / B. MORITZIANA (RHODOMELACEAE, RHODOPHYTA) AS A MODEL STUDY 1
Author(s) -
Kim Gwang Hoon,
Shim Jun Bo,
Klochkova Tatyana A.,
West John A.,
Zuccarello Giuseppe C.
Publication year - 2008
Publication title -
journal of phycology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.85
H-Index - 127
eISSN - 1529-8817
pISSN - 0022-3646
DOI - 10.1111/j.1529-8817.2008.00592.x
Subject(s) - biology , proteome , rhodomelaceae , genetic distance , botany , proteomics , ploidy , taxonomy (biology) , genetic similarity , population , genetic variation , gene , genetics , genetic diversity , demography , sociology
A comparison of the proteome of eight genetically well‐characterized isolates of the Bostrychia radicans (Mont.) Mont. /B. moritziana (Sond. ex Kütz.) J. Agardh species complex was undertaken to establish if genetic relationships among them can be determined using proteome data. Genetic distances were calculated on the basis of common and distinct spots in two‐dimensional gel electrophoresis (2‐DE). Proteomes of the male and female plants of each population were compared to analyze the range of genetic difference within an isolate. Haploid male and female plants of the same species had 3.7%–7.1% sex‐specific proteins. The degree of similarity of the proteome was consistent with previous DNA sequence data and sexual compatibility studies between the isolates. Two sexually compatible isolates from Venezuela showed a pair‐wise distance ranging from 0.14 to 0.21. The isolates from Mexico and Venezuela, which were partially compatible, showed a maximum pair‐wise distance of 0.26. A high level of genetic difference was found among isolates that were sexually incompatible. The isolate from Brazil was reproductively isolated from the Mexico and Venezuela isolates and showed a maximum pair‐wise distance of 0.65 and 0.58, respectively. Comparative proteomics may be helpful for studying genetic distances among algal samples, if intraisolate variation (gene expression) can be minimized or tested.