4.7 Article

Physiological and genetic analysis of CO2-induced breakdown of self-incompatibility in Brassica rapa

期刊

JOURNAL OF EXPERIMENTAL BOTANY
卷 65, 期 4, 页码 939-951

出版社

OXFORD UNIV PRESS
DOI: 10.1093/jxb/ert438

关键词

Brassica rapa; calcium; CO2; F1 hybrid; QTL; self-incompatibility

资金

  1. Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) [21112003, 23113002, 23570056, 21248014, 25252021]
  2. Japan Advanced Plant Science Network
  3. Grants-in-Aid for Scientific Research [21112003, 23570056, 21248014, 25252021] Funding Source: KAKEN

向作者/读者索取更多资源

Self-incompatibility (SI) of the Brassicaceae family can be overcome by CO2 gas treatment. This method has been used for decades as an effective means to obtain a large amount of inbred seeds which can then be used for F-1 hybrid seed production; however, the molecular mechanism by which CO2 alters the SI pathway has not been elucidated. In this study, to obtain new insights into the mechanism of CO2-induced SI breakdown, the focus was on two inbred lines of Brassica rapa (syn. campestris) with different CO2 sensitivity. Physiological examination using X-ray microanalysis suggested that SI breakdown in the CO2-sensitive line was accompanied by a significant accumulation of calcium at the pollenstigma interface. Pre-treatment of pollen or pistil with CO2 gas before pollination showed no effect on the SI reaction, suggesting that some physiological process after pollination is necessary for SI to be overcome. Genetic analyses using F-1 progeny of a CO2-sensitiveCO(2)-insensitive cross suggested that CO2 sensitivity is a semi-dominant trait in these lines. Analysis of F-2 progeny suggested that CO2 sensitivity could be a quantitative trait, which is controlled by more than one gene. Quantitative trait locus (QTL) analyses identified two major loci, BrSIO1 and BrSIO2, which work additively in overcoming SI during CO2 treatment. No QTL was detected at the loci previously shown to affect SI stability, suggesting that CO2 sensitivity is determined by novel genes. The QTL data presented here should be useful for determining the responsible genes, and for the marker-assisted selection of desirable parental lines with stable but CO2-sensitive SI in F-1 hybrid breeding.

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