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Genes controlling grain chalkiness in rice
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作者 Luo Chen Xiumei Li +6 位作者 Minhua Zheng Rui Hu Jingfang Dong Lingyan Zhou wuge liu Dilin liu Wu Yang 《The Crop Journal》 SCIE CSCD 2024年第4期979-991,共13页
With rising living standards,there is an increasing demand for high-quality rice.Rice quality is mainly defined by milling quality,appearance quality,cooking and eating quality,and nutrition quality.Among them,chalkin... With rising living standards,there is an increasing demand for high-quality rice.Rice quality is mainly defined by milling quality,appearance quality,cooking and eating quality,and nutrition quality.Among them,chalkiness is a key trait for appearance quality,which adversely affects cooking and eating quality,head rice yield,and commercial value.Therefore,chalkiness is undesirable,and reducing chalkiness is a major goal in rice quality improvement.However,chalkiness is a complex trait jointly influenced by genetic and environmental factors,making its genetic study and precision improvement a huge challenge.With the rapid development of molecular techniques,much knowledge has been gained about the genes and molecular networks involved in chalkiness formation.The present review describes the major environmental factors affecting chalkiness and summarizes the quantitative trait loci(QTL)associated with chalkiness.More than 150 genes related to chalkiness formation have been reported.The functions of the genes regulating chalkiness,primarily those involved in starch synthesis,storage protein synthesis,transcription regulation,organelle development,grain shape regulation,and hightemperature response,are described.Finally,we identify the challenges associated with genetic improvement of chalkiness and suggest potential strategies.Thus,the review offers insight into the molecular dynamics of chalkiness and provides a strong basis for the future breeding of high-quality rice varieties. 展开更多
关键词 RICE Grain quality CHALKINESS QTL identification Gene
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Streamlined whole-genome genotyping through NGS-enhanced thermal asymmetric interlaced(TAIL)-PCR
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作者 Sheng Zhao Yue Wang +8 位作者 Zhenghang Zhu Peng Chen wuge liu Chongrong Wang Hong Lu Yong Xiang Yuwen liu Qian Qian Yuxiao Chang 《Plant Communications》 SCIE CSCD 2024年第9期25-37,共13页
Whole-genome genotyping(WGG)stands as a pivotal element in genomic-assisted plant breeding.Nevertheless,sequencing-based approaches for WGG continue to be costly,primarily owing to the high expenses associated with li... Whole-genome genotyping(WGG)stands as a pivotal element in genomic-assisted plant breeding.Nevertheless,sequencing-based approaches for WGG continue to be costly,primarily owing to the high expenses associated with library preparation and the laborious protocol.During prior development of foreground and background integrated genotyping by sequencing(FBI-seq),we discovered that any sequence-specific primer(SP)inherently possesses the capability to amplify a massive array of stable and reproducible non-specific PCR products across the genome.Here,we further improved FBI-seq by replacing the adapter ligated by Tn5 transposase with an arbitrary degenerate(AD)primer.The protocol for the enhanced FBI-seq unexpectedly mirrors a simplified thermal asymmetric interlaced(TAIL)-PCR,a technique that is widely used for isolation of flanking sequences.However,the improved TAIL-PCR maximizes the primer-template mismatched annealing capabilities of both SP and AD primers.In addition,leveraging of next-generation sequencing enhances the ability of this technique to assay tens of thousands of genome-wide loci for any species.This cost-effective,user-friendly,and powerful WGG tool,which we have named TAIL-PCR by sequencing(TAIL-peq),holds great potential for widespread application in breeding programs,thereby facilitating genome-assisted crop improvement. 展开更多
关键词 whole-genome genotyping primer-template mismatched annealing specific primer arbitrary degenerate primer molecular breeding
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SemiSynBio:A new era for neuromorphic computing
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作者 Ruicun liu Tuoyu liu +6 位作者 wuge liu Boyu Luo Yuchen Li Xinyue Fan Xianchao Zhang Wei Cui Yue Teng 《Synthetic and Systems Biotechnology》 SCIE CSCD 2024年第3期594-599,共6页
Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence(AI)systems,due to its advantages of adaptive learning and parallel computing.Meanwhile,biocomputing h... Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence(AI)systems,due to its advantages of adaptive learning and parallel computing.Meanwhile,biocomputing has seen ongoing development with the rise of synthetic biology,becoming the driving force for new generation semiconductor synthetic biology(SemiSynBio)technologies.DNA-based biomolecules could potentially perform the functions of Boolean operators as logic gates and be used to construct artificial neural networks(ANNs),providing the possibility of executing neuromorphic computing at the molecular level.Herein,we briefly outline the principles of neuromorphic computing,describe the advances in DNA computing with a focus on synthetic neuromorphic computing,and summarize the major challenges and prospects for synthetic neuromorphic computing.We believe that constructing such synthetic neuromorphic circuits will be an important step toward realizing neuromorphic computing,which would be of widespread use in biocomputing,DNA storage,information security,and national defense. 展开更多
关键词 Neuromorphic computing Synthetic biology BIOCOMPUTING Artificial intelligence Neuromorphic genetic circuits
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