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
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
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
基金supported by the Guangdong Basic and Applied Basic Research Foundation(2023A1515010400,2023A1515030023)the Discipline Team of Agricultural Competitive Industries in Guangdong Academy of Agricultural Sciences(202101TD)+1 种基金the Special Fund for Scientific Innovation Strategyconstruction of High-level Academy of Agriculture Science(R2023PY-JX001)the Guangdong Key Laboratory of New Technology in Rice Breeding(2023B1212060042).
文摘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.
基金supported by the Science and Technology Planning Project of Guangdong Province(2022B0202060002)the National Natural Science Foundation of China(32300340,32172086)+2 种基金the R&D program of Shenzhen(KCXFZ20211020164207012)the R&D Program in Key Areas of Guangdong Province(2021B0707010006)ACKNOWLEDGMENTS We thank Lili Dong(China National Center for Bioinformation/Beijing Institute of Genomics,Chinese Academy of Sciences)for assistance with uploading the raw sequencing data.Y.C.,S.Z.,P.C.,et al.are listed as co-inventors on a patent application(CN202211418)。
文摘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.
文摘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.