栽培種花生出仁率QTL定位分析
發(fā)布時(shí)間:2021-09-12 10:47
為探索栽培種花生出仁率的遺傳機(jī)制,以花育36號(hào)與6-13為親本構(gòu)建了包含181個(gè)家系的重組自交系(recombinant inbred line,RIL)群體,以該群體F2:9代為試驗(yàn)材料,測(cè)定了2個(gè)環(huán)境下的出仁率表型數(shù)據(jù),利用3種方法(單環(huán)境分析、多環(huán)境聯(lián)合分析和上位性互作分析)進(jìn)行相關(guān)QTL定位。結(jié)果表明,在不同環(huán)境下RIL群體出仁率均表現(xiàn)為超親遺傳,廣義遺傳率為0.79;趩苇h(huán)境QTL分析,共檢測(cè)到6個(gè)相關(guān)位點(diǎn)qKP7、qKP8、qKP9、qKP13、qKP16和qKP18,分布于6個(gè)連鎖群上,表型貢獻(xiàn)率為4.20%~15.14%。其中qKP7和qKP9在兩個(gè)環(huán)境下均穩(wěn)定表達(dá),且qKP7表型貢獻(xiàn)率大于10%,為主效QTL;诙喹h(huán)境聯(lián)合分析,發(fā)現(xiàn)這6個(gè)QTL的加性效應(yīng)對(duì)表型的總貢獻(xiàn)率為38.57%,加性與環(huán)境互作效應(yīng)對(duì)表型總貢獻(xiàn)率為4.13%。上位性互作分析共檢測(cè)到6對(duì)上位性QTL,共涉及10個(gè)位點(diǎn),分別位于第3、7、11、12、15、16、17、18染色體,上位性互作對(duì)表型貢獻(xiàn)率為2.90%~4.58%,上位性QTL與環(huán)境互作對(duì)表型的總貢獻(xiàn)率為0.49%...
【文章來源】:花生學(xué)報(bào). 2020,49(04)北大核心
【文章頁(yè)數(shù)】:7 頁(yè)
【部分圖文】:
RIL群體出仁率性狀表型
為分析QTL加性效應(yīng)、加性與環(huán)境的互作效應(yīng)對(duì)出仁率影響,采用QTL IciMapping V4.1軟件的MET功能模塊進(jìn)行多環(huán)境聯(lián)合分析。由表4可以看出,共檢測(cè)到6個(gè)加性QTL,分別為qKP7、qKP8、qKP9、qKP13、qKP16和qKP18,PVE范圍為2.91%~15.82%。加性效應(yīng)對(duì)表型的總貢獻(xiàn)率為38.57%,加性QTL與環(huán)境互作對(duì)表型總貢獻(xiàn)率為4.13%(表4),可見加性效應(yīng)對(duì)出仁率遺傳起主要作用。其中qKP16與環(huán)境互作對(duì)表型貢獻(xiàn)率相對(duì)較大,為2.13%,表明該位點(diǎn)的表達(dá)易受環(huán)境影響;趨^(qū)間側(cè)翼標(biāo)記物理位置,發(fā)現(xiàn)這些QTL的區(qū)間大小范圍為0.46~6.00 Mb,其中主效位點(diǎn)qKP7物理區(qū)間僅0.60 Mb,有助于后續(xù)進(jìn)行對(duì)該位點(diǎn)的精細(xì)定位和候選基因的鑒定。表3 單環(huán)境分析定位出仁率QTLTable 3 QTL identification for kernel percentage by individual environment analysis QTL 環(huán)境Env. 染色體Chr. 置信區(qū)間/cMConfidence interval 側(cè)翼標(biāo)記Flanking markers LOD 加性效應(yīng)Add 表型貢獻(xiàn)率PVE/% qKP7 E1 7 73.5~82.5 Marker4240-Marker4243 7.68 0.04 15.14 E2 7 75.5~82.5 Marker4240- Marker4243 11.15 0.05 14.41 qKP8 E2 8 7.5~ 8.5 Marker4901-Marker4910 3.70 -0.03 4.30 qKP9 E1 9 71.5~76.5 Marker5586-Marker5648 3.04 -0.02 5.49 E2 9 71.5~75.5 Marker5586-Marker5648 4.87 -0.03 5.71 qKP13 E1 13 32.5~33.5 Marker6807-Marker6813 3.43 -0.03 6.40 qKP16 E2 16 12.5~13.5 Marker9431-Marker9437 8.71 -0.05 10.81 qKP18 E2 18 93.5~94.5 Marker11695-Marker11701 3.50 0.03 4.20
出仁率性狀相關(guān)上位性QTL分析
【參考文獻(xiàn)】:
期刊論文
[1]QTL mapping and QTL × environment interaction analysis of multi-seed pod in cultivated peanut(Arachis hypogaea L.)[J]. Liang Wang,Xinlei Yang,Shunli Cui,Guojun Mu,Xingming Sun,Lifeng Liu,Zichao Li. The Crop Journal. 2019(02)
[2]花生出仁率和株高的QTL定位分析[J]. 陳偉剛,郭建斌,徐志軍,喻博倫,邱西克,黃莉,宋延濱,陳玉寧,周小靜,羅懷勇,劉念,任小平,姜慧芳. 作物學(xué)報(bào). 2018(08)
[3]花生出仁率QTL分析及其與莢果大小的相關(guān)性[J]. 蔡巖,徐志軍,李振動(dòng),李新平,郭建斌,任小平,黃莉,陳偉剛,陳玉寧,周小靜,羅懷勇,姜慧芳. 作物學(xué)報(bào). 2017(05)
[4]QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. Lei Meng,Huihui Li,Luyan Zhang,Jiankang Wang. The Crop Journal. 2015(03)
[5]Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection[J]. Huifang Jiang,Li Huang,Xiaoping Ren,Yuning Chen,Xiaojing Zhou,Youlin Xia,Jiaquan Huang,Yong Lei,Liying Yan,Liyun Wan,Boshou Liao. Journal of Integrative Plant Biology. 2014(02)
本文編號(hào):3394087
【文章來源】:花生學(xué)報(bào). 2020,49(04)北大核心
【文章頁(yè)數(shù)】:7 頁(yè)
【部分圖文】:
RIL群體出仁率性狀表型
為分析QTL加性效應(yīng)、加性與環(huán)境的互作效應(yīng)對(duì)出仁率影響,采用QTL IciMapping V4.1軟件的MET功能模塊進(jìn)行多環(huán)境聯(lián)合分析。由表4可以看出,共檢測(cè)到6個(gè)加性QTL,分別為qKP7、qKP8、qKP9、qKP13、qKP16和qKP18,PVE范圍為2.91%~15.82%。加性效應(yīng)對(duì)表型的總貢獻(xiàn)率為38.57%,加性QTL與環(huán)境互作對(duì)表型總貢獻(xiàn)率為4.13%(表4),可見加性效應(yīng)對(duì)出仁率遺傳起主要作用。其中qKP16與環(huán)境互作對(duì)表型貢獻(xiàn)率相對(duì)較大,為2.13%,表明該位點(diǎn)的表達(dá)易受環(huán)境影響;趨^(qū)間側(cè)翼標(biāo)記物理位置,發(fā)現(xiàn)這些QTL的區(qū)間大小范圍為0.46~6.00 Mb,其中主效位點(diǎn)qKP7物理區(qū)間僅0.60 Mb,有助于后續(xù)進(jìn)行對(duì)該位點(diǎn)的精細(xì)定位和候選基因的鑒定。表3 單環(huán)境分析定位出仁率QTLTable 3 QTL identification for kernel percentage by individual environment analysis QTL 環(huán)境Env. 染色體Chr. 置信區(qū)間/cMConfidence interval 側(cè)翼標(biāo)記Flanking markers LOD 加性效應(yīng)Add 表型貢獻(xiàn)率PVE/% qKP7 E1 7 73.5~82.5 Marker4240-Marker4243 7.68 0.04 15.14 E2 7 75.5~82.5 Marker4240- Marker4243 11.15 0.05 14.41 qKP8 E2 8 7.5~ 8.5 Marker4901-Marker4910 3.70 -0.03 4.30 qKP9 E1 9 71.5~76.5 Marker5586-Marker5648 3.04 -0.02 5.49 E2 9 71.5~75.5 Marker5586-Marker5648 4.87 -0.03 5.71 qKP13 E1 13 32.5~33.5 Marker6807-Marker6813 3.43 -0.03 6.40 qKP16 E2 16 12.5~13.5 Marker9431-Marker9437 8.71 -0.05 10.81 qKP18 E2 18 93.5~94.5 Marker11695-Marker11701 3.50 0.03 4.20
出仁率性狀相關(guān)上位性QTL分析
【參考文獻(xiàn)】:
期刊論文
[1]QTL mapping and QTL × environment interaction analysis of multi-seed pod in cultivated peanut(Arachis hypogaea L.)[J]. Liang Wang,Xinlei Yang,Shunli Cui,Guojun Mu,Xingming Sun,Lifeng Liu,Zichao Li. The Crop Journal. 2019(02)
[2]花生出仁率和株高的QTL定位分析[J]. 陳偉剛,郭建斌,徐志軍,喻博倫,邱西克,黃莉,宋延濱,陳玉寧,周小靜,羅懷勇,劉念,任小平,姜慧芳. 作物學(xué)報(bào). 2018(08)
[3]花生出仁率QTL分析及其與莢果大小的相關(guān)性[J]. 蔡巖,徐志軍,李振動(dòng),李新平,郭建斌,任小平,黃莉,陳偉剛,陳玉寧,周小靜,羅懷勇,姜慧芳. 作物學(xué)報(bào). 2017(05)
[4]QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. Lei Meng,Huihui Li,Luyan Zhang,Jiankang Wang. The Crop Journal. 2015(03)
[5]Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection[J]. Huifang Jiang,Li Huang,Xiaoping Ren,Yuning Chen,Xiaojing Zhou,Youlin Xia,Jiaquan Huang,Yong Lei,Liying Yan,Liyun Wan,Boshou Liao. Journal of Integrative Plant Biology. 2014(02)
本文編號(hào):3394087
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