草业学报2018，Vol.27Issue(2)：105-116,12.DOI:10.11686/cyxb2017143
不同刈割强度下羊草转录组研究
Transcriptome analysis of Leymus chinensis under different mowing intensities
摘要
Abstract
Mowing is an important part of grassland management.The height of stubble left after mowing directly influences grassland productivity and community structure,which have important implications for forage production.To investigate the transcriptional responses of Leymus chinensis under different mowing intensities,the transcriptome of the regenerative blades from L.chinensis mowed to different stubble heights (0,2,4,8,and 12 cm) were sequenced using the Illumina HiSeq-PE150 high-throughput sequencing platform.In total,139767803 reads and 41.94 Gb raw data were generated.After filtering,quality control,and de novo assembly,we obtained 270207 transcripts with a total length of 191.6 Mb.After comparisons with various databases,we obtained 48097 unigenes.We detected 2579 differentially expressed genes (DEGs) between the mowed group and the non-mowed control group.The DEGs were classified into several functional categories and metabolic pathways including carbohydrate metabolism,response to wounding,hydrogen peroxide catabolism,and plant hormone signal transduction.A cluster analysis was used to identify genes showing changes in transcript abundance with increasing mowing intensity.These genes were enriched in peroxisome,photosynthesis,and other metabolic pathways.Research on the transcriptome of L.chinensis under different mowing intensities provides valuable data resources for molecular research on herbaceous plants.Our findings will be useful for analyzing the molecular mechanism of mowing responses and for mining genes related high performance of L.chinensis after mowing.关键词
羊草/刈割强度/转录组/功能富集/梯度聚类Key words
Leymus chinensis/mowing intensity/transcriptome/function enrichment/gradient clustering引用本文复制引用
赵劲博,侯向阳,武自念,任卫波,胡宁宁,郭丰辉,马文静..不同刈割强度下羊草转录组研究[J].草业学报,2018,27(2):105-116,12.基金项目
国家重点基础研究发展计划(973计划)(2014CB138806),国家自然基金(31502008)和中央级公益性科研院所基本科研业务费专项资金项目(1610332015002),公益性行业(农业)科研专项经费项目(201303060)和中国农业科学院科技创新工程协同创新(CAAS-XTCT2016001-2)资助. （973计划）
