
湿地松转录组SSR分析及EST-SSR标记开发
易敏, 张露, 雷蕾, 程子珊, 孙世武, 赖猛
南京林业大学学报(自然科学版) ›› 2020, Vol. 44 ›› Issue (2) : 75-83.
湿地松转录组SSR分析及EST-SSR标记开发
Analysis of SSR information in transcriptome and development of EST-SSR molecular markers in Pinus elliottii Engelm.
【目的】湿地松是南方地区优先推广的优质产脂树种。但湿地松分子遗传基础薄弱,基因组序列信息匮乏,影响了湿地松基因组学的深入研究。目前,湿地松分子研究所用的SSR标记主要来自其他近缘种或利用公共数据库中有限的基因序列资源开发的SSR标记,其多态性和通用性较差。为解决这一问题, 笔者根据湿地松转录组测序数据开发EST-SSR位点,并揭示其在转录组序列中的分布类型及特征,为湿地松分子标记辅助育种奠定基础。【方法】利用MISA软件对转录组序列进行SSRs查找和分布特征分析。查找标准参数设置为: 单核苷酸重复>10次,二核苷酸重复>6次,三、四、五、六核苷酸重复>5次。根据SSR位点两端的保守区域,利用Primer3.0设计并随机挑选120对SSR引物,通过琼脂糖电泳和毛细管电泳对来自美国和吉安的113份家系个体进行遗传多样性分析,确定引物多态性。【结果】79 574条unigenes序列中搜索到3 818个SSR位点,出现频率为4.80%,平均18.27 kb出现1个SSR位点,3 373个unigenes含有SSR位点,SSR发生频率(含SSR位点的序列数/搜索序列总数)为4.24%,其中2 980条序列含1个SSR位点,含1个以上SSR位点的序列有393条。在检测到的3 818个SSR标记中,单核苷酸分布最多,其次是二核苷酸和三核苷酸,SSR数量分别占总数的63.54%、19.15%和16.27%,而四、五、六核苷酸重复类型所占比例较小,分别为0.52%、0.13%和0.31%。SSR重复单元的重复次数分布在5~22次之间,除单核苷酸重复外的1 391个SSR中,重复5次的数量最多,为498个(35.80%);重复6次和7次的次之,分别为417个(29.98%)和198个(14.23%);重复10次以上的仅有38个(2.73%)。在检测到的731个二核苷酸重复SSR中,最常出现的重复单元为AT/AT,数量为491个(12.86%),AG/CT和AC/GT两种类型的重复单元出现的次数次之,分别为156(4.09%)和81个(2.12%)。在检测到的621个三核苷酸重复中,AAT/ATT是出现频率最高的单元,共139个(3.64%),其次是AAG/CTT,共122个(3.20%)。3 818个SSR中有24.59%的位置未知,其余的SSR则分布在非编码区域(untranslated region,UTR)或者编码区(coding sequence,CDS)上,分布数量表现为3'UTR>5'UTR>CDS。参试的120对SSR引物,有92对扩增成功(76.78%),其中24对呈现多态(20%)。24对引物(13个二核苷酸重复、7个三核苷酸重复和4个四核苷酸重复)共检测出81个等位基因,每个位点的等位基因数为2~9,平均为3.38个。多态性信息含量(polymorphism information content,PIC)为0.103~0.726,平均为0.349。【结论】通过对湿地松转录组数据的挖掘,共获得 3 818个SSR位点,主要重复单元为AT/AT和AAT/ATT,可扩增出多态性位点的引物重复单元以二、三核苷酸重复为主。基于湿地松转录组序列的SSR标记开发是可行的。
【Objective】Slash pine (Pinus elliotii Engelm.) is a high-quality resin-producing species widely distributed in southern China. Despite it being an important economically important species, genomic and transcriptomic data on this species is scarce, which has hampered its genomic studies. To date, SSR markers used in molecular studies on P. elliottii were mainly those from other related species or developed by using limited gene sequence resources from public databases, which have low polymorphism rate and high generality. In order to solve these problems, we used transcriptome data to develop EST-SSR markers for slash pine. Distribution patterns of the markers in the transcriptome sequences and their characteristics were analyzed in order to lay the foundation for molecular marker-assisted selection ofP. elliottii.【Method】The SSR loci from the transcriptome sequences were analyzed by MicroSAtellite (MISA), and statistical analyses were conducted for the distribution and characteristics of SSR loci. The parameters were set as follows: the SSRs were considered to contain mono-, di-, tri-, tetra-, penta- and hexa-nucleotides with minimum repeat numbers of 10, 6, 5, 5, 5 and 5, respectively. The 120 pairs of EST-SSR primers were designed using Primer 3. Agarose electrophoresis was used for initial check, and capillary electrophoresis was used for separation and detection of the polymorphisms in the primers. In order to study their genetic diversity, 113 samples of families were collected from three seed orchards in South America and from a seed stand in Ji’an,Jiangxi Province.【Result】A total of 79 574 unigenes with 3 818 SSR loci were detected through transcription of slash pine genes. SSR sites occurred with a frequency of 4.80%(number of SSR/number of searching sequences), with an average of one SSR per 18.27 kb. A total of 3 373 EST sequences were screened for SSRs with a frequency of 4.24%(number of sequences with SSRs/number of searching sequences). A total of 2 980 sequences contained single SSRs of different motif types, and 393 sequences contained more than two SSRs. Among the 3 818 potential EST-SSRs, six types of motifs were identified: mononucleotide (63.54%) which had the highest frequency, followed by dinucleotide (19.15%),trinucleotide (16.27%), tetranucleotide (0.52%), pentanucleotide (0.13%) and hexanucleotide repeats (0.31%). The number of repeats of the different SSR motifs varied from 5 to 22, with the exception of mononucleotides. The frequency of five repeats was the highest among all repeats (35.80%), followed by that of six repeats (29.98%) and seven repeats (14.23%). Only 2.73% of ten repeats were found. Among the dinucleotide repeats, AT/AT was the most common motif (12.86%), followed by AG/CT (4.09%) and AC/GT (2.12%). Among the trinucleotide repeats, AAT/ATT was the most common motif, accounting for 3.64% of the total trinucleotide repeats, followed by the AAG/CTT (3.20%). Among all mapped SSRs, the EST-SSR that belonged to the unknown region accounted for 24.59%. SSRs in different genomic regions (5'UTR, 3'-UTR and CDS) showed distinct patterns of distribution. At the genomic level, 3'UTRs had the highest density of SSRs, followed by 5'UTR and CDS. Among the 120 primer pairs, twenty-four pairs (containing 13 di-, 7 tri and four tetranucleotides) showed polymorphism, which accounted for 4.8% of the total number of primer pairs. Eighty-one alleles were tested from twenty-four pairs of fluorescence primers, and the number of alleles ranged from 2 to 9 with a mean value of 3.38. Polymorphic information content ranged from 0.103 to 0.726, with an average of 0.349.【Conclusion】A total of 3 818 SSRs were identified from transcriptome sequencing ofP. elliottii,with AT/AT and AAT/ATT the most common repeats.The amplified primers of the polymorphism loci were mainly dinucleotide and trinucleotide repeats.We concluded that it is feasible to develop the SSR markers based on the P. elliottii transcriptomic sequence, and our results provide new information on genetic diversity analysis and molecular marker-assisted selection of P. elliottii, as well as a basis for SSR marker development in other species.
湿地松 / 转录组 / SSR / 引物 / EST-SSR标记 / 单核苷酸 / 二核苷酸 / 三核苷酸
Pinus elliottii Engelm. (slash pine) / transcriptome / SSR / primer / EST-SSR moleculcy marlcer / mono-nucleotide / di-nucleotides / tri-nucleotides
[1] |
庄伟瑛, 张玉英, 邹元熹. 高产脂湿地松选择和相关因子的分析[J]. 江西农业大学学报, 2007,29(1):55-60,65.
|
[2] |
赵奋成, 郭文冰, 钟岁英, 等. 基于针刺仪测定技术的湿地松木材密度间接选择效果[J]. 林业科学, 2018,54(10):172-179.
|
[3] |
张彩云, 朱丽华, 谈家金, 等. 抗松针褐斑病湿地松体细胞胚胎发生与植株再生[J]. 东北林业大学学报, 2016,44(6):17-22.
|
[4] |
|
[5] |
吴东山, 黄永利, 杨章旗. 基于不同表型特征湿地松松脂成分的分析与评价[J]. 广西林业科学, 2018,47(3):268-273.
|
[6] |
张帅楠, 栾启福, 姜景民. 基于无损检测技术的湿地松生长及材性性状遗传变异分析[J]. 林业科学, 2017,53(6):30-36.
|
[7] |
王润辉, 赵奋成. 湿地松、加勒比松及其杂交种DNA的提取与微卫星PCR反应体系的优化[J]. 广东林业科技, 2006,22(1):1-4.
|
[8] |
李义良, 赵奋成, 吴惠姗. 湿地松、加勒比松SRAP反应体系的优化及引物筛选[J]. 广东林业科技, 2011,27(3):8-13.
|
[9] |
赵衡. 湿地松EST-SSR引物开发及其亲缘关系的研究[D]. 南昌:江西农业大学, 2016.
|
[10] |
雷蕾, 潘显强, 张露, 等. 湿地松左旋β-蒎烯合成酶基因PeTPS-(-)BPin的同源克隆及生物信息学分析[J]. 江西农业大学学报, 2015,37(2):205-211.
|
[11] |
易能君, 韩正敏, 尹佟明, 等. 湿地松抗病种子园的遗传多样性分析[J]. 林业科学, 2000,36(S1):51-55.DOI: 10.3321/j.issn:1001-7488.2000.Z1.007.
|
[12] |
|
[13] |
王晋, 王世红, 赖勇, 等. 大麦SSR标记遗传多样性及群体遗传结构分析[J]. 核农学报, 2014,28(2):177-185.
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
张振, 张含国, 莫迟, 等. 红松转录组SSR分析及EST-SSR标记开发[J]. 林业科学, 2015,51(8):114-120.
|
[20] |
梅利那, 范付华, 崔博文, 等. 基于马尾松转录组的SSR分子标记开发及种质鉴定[J]. 农业生物技术学报, 2017,25(6):991-1002.
|
[21] |
文亚峰, 韩文军, 周宏, 等. 杉木转录组SSR挖掘及EST-SSR标记规模化开发[J]. 林业科学, 2015,51(11):40-49.
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
杨秀艳, 孙晓梅, 张守攻, 等. 日本落叶松EST-SSR标记开发及二代优树遗传多样性分析[J]. 林业科学, 2011,47(11):52-58.
|
[28] |
蔡年辉, 许玉兰, 徐杨, 等. 云南松转录组SSR的分布及其序列特征[J]. 云南大学学报(自然科学版), 2015,37(5):770-778.
|
[29] |
时小东, 朱学慧, 盛玉珍, 等. 基于转录组序列的楠木SSR分子标记开发[J]. 林业科学, 2016,52(11):71-78.
|
[30] |
杨旭, 杨志玲, 谭美, 等. 厚朴转录组特征分析及EST-SSR标记的开发[J]. 核农学报, 2019,33(7):1318-1329.
|
[31] |
|
[32] |
邓丽丽, 李德龙, 蔡年辉, 等. 基于高通量测序的思茅松微卫星位点的特征分析[J]. 中南林业科技大学学报, 2016,36(10):72-77,93.
|
[33] |
饶龙兵, 杨汉波, 郭洪英, 等. 基于桤木属转录组测序的SSR分子标记的开发[J]. 林业科学研究, 2016,29(6):875-882.
|
[34] |
郭莺, 孟红岩, 林文珍, 等. 牛樟EST-SSR标记的开发及遗传多态性分析[J]. 热带作物学报, 2018,39(8):1561-1569.
|
[35] |
温强, 徐林初, 江香梅, 等. 基于454测序的油茶DNA序列微卫星观察与分析[J]. 林业科学, 2013,49(8):43-50.
|
[36] |
史洁, 尹佟明, 管宏伟, 等. 油茶基因组微卫星特征分析[J]. 南京林业大学学报(自然科学版), 2012,36(2):47-51.
|
[37] |
|
[38] |
|
[39] |
李珊珊, 曾艳飞, 何彩云, 等. 基于沙棘转录组序列开发EST-SSR分子标记[J]. 林业科学研究, 2017,30(1):69-74.
|
[40] |
赵能, 原晓龙, 缪福俊, 等. 思茅松转录组SSR分析及标记开发[J]. 生物技术通报, 2017,33(5):71-77.
|
[41] |
|
/
〈 |
|
〉 |