本文選題：甘藍型油菜 + 粒重��； 參考：《中國農(nóng)業(yè)科學院》2016年博士后論文

【摘要】：油菜(Brassica napus)是世界范圍廣泛種植的第三大油料作物,也是我國最重要的油料作物之一。粒重(SW),單株角果數(shù)(SPP)和每角果粒數(shù)(SPS)是單個植株產(chǎn)量的三個重要的基本組成部分。其中粒重是最穩(wěn)定的組成因子,是油料作物產(chǎn)量的最直接的性狀。因此,在油料作物育種中,了解粒重的遺傳決定因素對產(chǎn)量的提高具有重要意義。本研究利用新一代測序技術(shù),分別從粒重關(guān)聯(lián)候選區(qū)域和差異基因表達分析兩個方面進行闡述,快速篩選出千粒重相關(guān)候選基因,揭示了候選基因可能參與影響粒重大小的調(diào)控機理,取得的主要研究結(jié)果與結(jié)論如下：1、SLAF-seq技術(shù)對樣品進行分析共獲得24.18M reads數(shù)據(jù),共開發(fā)112,292個SLAF標簽,多態(tài)性SLAF標簽共有7,536個,多態(tài)性比例達到6.71%。2、過濾掉測序深度5x以下的標簽,選取一種基因型來源于父本(G101),另一種基因型來源于母本(G102)的多態(tài)性SLAF標簽,共1,933個SLAF標記被篩選進行后續(xù)關(guān)聯(lián)分析。3、SNP_index法,Euclidean distance法及取兩者交集進行關(guān)聯(lián)分析,共獲得4個與性狀顯著相關(guān)的SLAF標簽,位于ChrA09上。關(guān)聯(lián)區(qū)域大小約為0.58Mb,其中有91個基因,在堿基25,401,885-25,985,931之問。4、關(guān)聯(lián)區(qū)域內(nèi)的91個基因與NR, Swiss Prot、GO、COG和KEGG數(shù)據(jù)庫比對,最終獲得90個基因的注釋信息。其中4個基因可能參與粒重調(diào)控。5、RNA-seq技術(shù)進行轉(zhuǎn)錄組分析共得到原始數(shù)據(jù)總堿基數(shù)為17.64 G,共發(fā)掘得到2,251個新基因及97,963個已知基因；其中2,205個基因在兩個樣本中表達顯著差異,1,181個基因上調(diào),1,087個基因下調(diào)。6、1,747(77.61%)個新基因,2,020(91.61%)個差異基因能獲得功能注釋信息。篩選到50個差異基因可能參與合成調(diào)控粒重相關(guān)的酶與蛋白。
[Abstract]:Rapeseed (Brassica napus) is the third largest oil crop widely planted in the world, and it is also one of the most important oil crops in China. Seed weight (SWN), the number of pods per plant (SPP) and the number of kernels per pod (SPSs) are three important components of single plant yield. Grain weight is the most stable component factor and the most direct character of oil crop yield. Therefore, it is important to understand the genetic determinants of grain weight in oil crop breeding. In this study, a new generation of sequencing technique was used to analyze the candidate regions of grain weight association and differential gene expression, and to screen candidate genes for 1000-grain weight quickly. It was revealed that candidate genes might be involved in the regulation mechanism of grain weight size. The main results and conclusions were as follows: 1: 1 SLAF-seq technique was used to analyze the samples, and a total of 24.18 M reads data were obtained. A total of 112 292 SLAF tags were developed, and 7536 polymorphic SLAF tags were developed. The polymorphic SLAF tag was selected from one genotype from the male parent G101a and the other from the female parent G102by filtering out the tags below 5x of the sequencing depth. Three hundred and thirty-three SLAF markers were screened for further association analysis. The Euclidean distance method and their intersection were used for correlation analysis. Four SLAF tags with significant correlation with traits were obtained, which were located on ChrA09. The size of the associated region is about 0.58 Mb, among which 91 genes. In the base 25401885-25985931, 91 genes in the associated region were compared with NR, Swiss Protgocog and KEGG databases, and 90 gene annotated information were obtained. Among them, four genes may be involved in grain weight regulation. 5 RNA-seq technique was used for transcriptome analysis. The total base number of the original data was 17.64 G. 2251 new genes and 97963 known genes were identified. The expression of 2205 genes in the two samples was significantly different: 1181 genes were up-regulated, and 1087 genes down-regulated. 1 087 genes down-regulated. Fifty differentially identified genes may be involved in the synthesis of enzymes and proteins related to grain weight regulation.
【學位授予單位】：中國農(nóng)業(yè)科學院
【學位級別】：博士后
【學位授予年份】：2016
【分類號】：S565.4

【參考文獻】

相關(guān)期刊論文 前7條

1 朱恒星;閆曉紅;方小平;姜成紅;劉蒙;袁亞賓;楊潔;梁國魯;魏文輝;;甘藍型油菜千粒重性狀的QTL初步定位研究[J];植物遺傳資源學報;2012年05期

2 周明亮;納巴他;張顯澤;張清建;楊平貴;;QTL定位方法的研究進展[J];草業(yè)與畜牧;2012年05期

3 岳桂東;高強;羅龍海;王軍一;許姣卉;尹燁;;高通量測序技術(shù)在動植物研究領(lǐng)域中的應(yīng)用[J];中國科學:生命科學;2012年02期

4 周德貴;趙瓊一;付崇允;李宏;蔡學飛;羅達;周少川;;新一代測序技術(shù)及其對水稻分子設(shè)計育種的影響[J];分子植物育種;2008年04期

5 鐘兆飛;朱亞娜;蔣立希;;分子標記在油菜遺傳作圖中的應(yīng)用[J];浙江農(nóng)業(yè)科學;2008年03期

6 張潔夫;戚存扣;浦惠明;陳松;陳鋒;高建芹;陳新軍;顧慧;傅壽仲;;甘藍型油菜含油量的遺傳與QTL定位[J];作物學報;2007年09期

7 鄧泱泱;荔建琦;吳松鋒;朱云平;陳耀文;賀福初;;nr數(shù)據(jù)庫分析及其本地化[J];計算機工程;2006年05期

，

本文編號：1854172