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Population transcriptomics reveals a potentially positive role of expression diversity in adaptation 被引量:2
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作者 Qin Xu Shilai Xing +12 位作者 Caiyun Zhu Wei Liu Yangyang Fan Qian Wang Zhihong Song Wenhui Yang Fan Luo Fei Shang Lifang Kang Wenli Chen Juan Yan Jianqiang Li Tao Sang 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2015年第3期284-299,共16页
While it is widely accepted that genetic diversity determines the potential of adaptation,the role that gene expression variation plays in adaptation remains poorly known.Here we show that gene expression diversity co... While it is widely accepted that genetic diversity determines the potential of adaptation,the role that gene expression variation plays in adaptation remains poorly known.Here we show that gene expression diversity could have played a positive role in the adaptation of Miscanthus lutarioriparius.RNA-seq was conducted for 80 individuals of the species,with half planted in the energy crop domestication site and the other half planted in the control site near native habitats.A leaf reference transcriptome consisting of 18,503 high-quality transcripts was obtained using a pipeline developed for de novo assembling with population RNA-seq data.The population structure and genetic diversity of M.lutarioriparius were estimated based on 30,609 genic single nucleotide polymorphisms.Population expression(Ep) and expression diversity(Ed)were defined to measure the average level and the magnitude of variation of a gene expression in the population,respectively.It was found that expression diversity increased while genetic Resediversity decreased after the species was transplanted from the native habitats to the harsh domestication site,especially for genes involved in abiotic stress resistance,histone methylation,and biomass synthesis under water limitation.The increased expression diversity could have enriched phenotypic variation directly subject to selections in the new environment. 展开更多
关键词 Adaptation artificial selection de novo assembling expression variation genetic diversity Miscanthus lutarioriparius population transcriptome
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Non-Linear and Non-Iterative Based Transceiver Design for SU-MIMO Systems
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作者 Raja Muthalagu 《Journal of Communications and Information Networks》 2018年第2期84-92,共9页
This paper considers the design of a low-complexity and high-performance precoder for multiple-input multiple-output(MIMO)systems.The precoder is designed by combining both nonlinear and non-iterative processing strat... This paper considers the design of a low-complexity and high-performance precoder for multiple-input multiple-output(MIMO)systems.The precoder is designed by combining both nonlinear and non-iterative processing strategies.The proposed nonlin-ear precoding techniques employ a nonlinear constellation precoding technique based on maximum distance sepa-rable codes at the transmitter.We propose to reduce the computational complexity in iterative-based precoding algorithms by using less complex non-iterative singular value decomposition-based joint precoder and decoder pair design.The maximum likelihood detection for the lin-ear MIMO channel is considered.The simulation results showed that the proposed nonlinear and non-iterative precoding schemes outperform the conventional linear MIMO precoder design,even when a reduced-complexity suboptimal strategy is adopted,considering the bit error rate performance. 展开更多
关键词 multiple-input multiple-output singular value decomposition maximum distance separable codes subcarrier grouping diversity channel selection
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