Identification of Drought-Responsive MicroRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing.

Identification of Drought-Responsive MicroRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing.
复制标题

通过高通量测序鉴定苜蓿根和叶中的干旱响应性 MicroRNA

DOI:
10.3390/genes8040119
复制
发表时间:
2017-04-13
期刊:
影响因子:
3.5
通讯作者:
Li X
Li X
中科院分区:
生物学3区
文献类型:
--
作者:
Li Y;Wan L;Bi S;Wan X;Li Z;Cao J;Tong Z;Xu H;He F;Li X

文献摘要

被引文献

相似文献

紫花苜蓿是一种重要的饲用豆科牧草,是可持续农业的理想作物和潜在的生物能源作物。干旱是最常见的环境胁迫之一,极大地影响植物的生长、发育和生产力。MicroRNAs(MiRNAs)是新近发现的与多种植物逆境反应相关的基因表达调控因子。为了阐明miRNAs在紫花苜蓿干旱胁迫调控中的作用,采用高通量测序方法对12个小RNA文库进行了分析,每个文库包含4个样本,每个样本有3个生物重复。利用Mireap软件,我们从12个文库中鉴定出348个已知miRNAs,分属于80个miRNA家族,以及281个新的miRNAs。筛选出18个根中已知的miRNAs和12个叶中已知的miRNAs作为干旱响应的miRNAs。除了在干旱胁迫下表达上调的miR319d和miR157a外,紫花苜蓿对干旱响应的miRNAs在根和叶中的表达模式不同。这是首次将miR3512、miR3630、miR5213、miR5294、miR5368和miR6173鉴定为干旱响应的miRNAs。对干旱反应miRNAs的目标转录本进行了计算预测。已知miRNAs的所有447个目标基因都是使用在线工具预测的。本研究对了解紫花苜蓿的干旱响应机制具有重要意义。
Alfalfa, an important forage legume, is an ideal crop for sustainable agriculture and a potential crop for bioenergy resources. Drought, one of the most common environmental stresses, substantially affects plant growth, development, and productivity. MicroRNAs (miRNAs) are newly discovered gene expression regulators that have been linked to several plant stress responses. To elucidate the role of miRNAs in drought stress regulation of alfalfa, a high-throughput sequencing approach was used to analyze 12 small RNA libraries comprising of four samples, each with three biological replicates. From the 12 libraries, we identified 348 known miRNAs belonging to 80 miRNA families, and 281 novel miRNAs, using Mireap software. Eighteen known miRNAs in roots and 12 known miRNAs in leaves were screened as drought-responsive miRNAs. With the exception of miR319d and miR157a which were upregulated under drought stress, the expression pattern of drought-responsive miRNAs was different between roots and leaves in alfalfa. This is the first study that has identified miR3512, miR3630, miR5213, miR5294, miR5368 and miR6173 as drought-responsive miRNAs. Target transcripts of drought-responsive miRNAs were computationally predicted. All 447 target genes for the known miRNAs were predicted using an online tool. This study provides a significant insight on understanding drought-responsive mechanisms of alfalfa.