| Project/Area Number |
21310152
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Resource conservation science
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| Research Institution | Lake Biwa Environmental Research Institute |
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Principal Investigator |
KANEKO Yuko 滋賀県琵琶湖環境科学研究センター, 総合解析部門, 専門研究員 (90280817)
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| Co-Investigator(Kenkyū-buntansha) |
SETOGUCHI Hiroaki 京都大学, 大学院・人間・環境学研究科, 教授 (70206647)
TAKADA Takenori 北海道大学, 大学院・地球環境科学研究院, 教授 (80206755)
練 春蘭 東京大学, アジア生物資源環境研究センター, 准教授 (40376695)
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2012: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2011: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2010: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
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| Keywords | 生物多様性保全 / レッドリスト / 植物 / 遺伝構造 / 絶滅確率 / 希少植物 / 保全遺伝学 / 数理モデル / GIS / 生物多様性 / 2倍体植物 / 遺伝的多様性 / 集団遺伝解析 / 集団動態 / 貴重植物 |
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| Research Abstract |
We investigated the genetic structure of Lake Biwa populations of (i) Lathyrus japonicus, (ii)Vitex rotundifolia, (iii) Euphorbia adenochlora and (iV) Carex vesicaria in Japan, using newly developed microsatellite loci and chloroplast DNA haplotypes. The genetic diversity was significantly lower in the inland (Lake Biwa) populations than coastal ones in the two beach species (i and ii). In addition, STRUCTURE and phylogenetic analyses supported robust genetic differentiation between the inland-coastal populations. Thus, Lake Biwa’s populations might have experienced a founder effect during the initial migration to Lake Biwa and genetic drift during inland isolation. The genetic diversity of the Lake Biwa populations of the two floodplain plants (iii and iv) was also low, showing that numbers of genets were smaller than that of ramets. We collected 425 papers of 12 Red list species, which we focused on this project, to obtain the information on their life history and reproductive property. Furthermore, we developed a computer simulation program in which fecundity strongly depends on genetic structure of the population. It enables us to quantify the relationship between the population genetic structure and extinction probability due to inbreeding depression.
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