Genetic control of the timing of flowering in woody plants is complex and has yet to be adequately investigated due to their long life-cycle and difficulties in genetic modification.Studies in Populus,one of the best ...Genetic control of the timing of flowering in woody plants is complex and has yet to be adequately investigated due to their long life-cycle and difficulties in genetic modification.Studies in Populus,one of the best woody plant models,have revealed a highly conserved genetic network for flowering timing in annuals.However,traits like continuous flowering cannot be addressed with Populus.Roses and strawberries have relatively small,diploid genomes and feature enormous natural variation.With the development of new genetic populations and genomic tools,roses and strawberries have become good models for studying the molecular mechanisms underpinning the regulation of flowering in woody plants.Here,we review findings on the molecular and genetic factors controlling continuous flowering in roses and woodland strawberries.Natural variation at TFL1 orthologous genes in both roses and strawberries seems be the key plausible factor that regulates continuous flowering.However,recent efforts suggest that a two-recessive-loci model may explain the controlling of continuous flowering in roses.We propose that epigenetic factors,including non-coding RNAs or chromatin-related factors,might also play a role.Insights into the genetic control of flowering time variation in roses should benefit the development of new germplasm for woody crops and shed light on the molecular genetic bases for the production and maintenance of plant biodiversity.展开更多
Triticeae species,including wheat,barley,and rye,are critical for global food security.Mapping agronomically important genes is crucial for elucidating molecular mechanisms and improving crops.However,Triticeae includ...Triticeae species,including wheat,barley,and rye,are critical for global food security.Mapping agronomically important genes is crucial for elucidating molecular mechanisms and improving crops.However,Triticeae includes many wild relatives with desirable agronomic traits,and frequent introgressions occurred during Triticeae evolution and domestication.Thus,Triticeae genomes are generally large and complex,making the localization of genes or functional elements that control agronomic traits challenging.Here,we developed Triti-Map,which contains a suite of user-friendly computational packages specifically designed and optimized to overcome the obstacles of gene mapping in Triticeae,as well as a web interface integrating multi-omics data from Triticeae for the efficient mining of genes or functional elements that control particular traits.The Triti-Map pipeline accepts bothDNA and RNAbulk-segregated sequencing data as well as traditional QTL data as inputs for locating genes and elucidating their functions.We illustrate the usage of Triti-Map with a combination of bulk-segregated ChIP-seq data to detect a wheat disease-resistance gene with its promoter sequence that is absent from the reference genome and clarify its evolutionary process.We hope that Triti-Map will facilitate gene isolation and accelerate Triticeae breeding.展开更多
基金supported by grants from the Chinese Academy of Sciences under the “Hundreds of Talents” plana grant from the “Yunnan Recruitment Program of Experts in Sciences”
文摘Genetic control of the timing of flowering in woody plants is complex and has yet to be adequately investigated due to their long life-cycle and difficulties in genetic modification.Studies in Populus,one of the best woody plant models,have revealed a highly conserved genetic network for flowering timing in annuals.However,traits like continuous flowering cannot be addressed with Populus.Roses and strawberries have relatively small,diploid genomes and feature enormous natural variation.With the development of new genetic populations and genomic tools,roses and strawberries have become good models for studying the molecular mechanisms underpinning the regulation of flowering in woody plants.Here,we review findings on the molecular and genetic factors controlling continuous flowering in roses and woodland strawberries.Natural variation at TFL1 orthologous genes in both roses and strawberries seems be the key plausible factor that regulates continuous flowering.However,recent efforts suggest that a two-recessive-loci model may explain the controlling of continuous flowering in roses.We propose that epigenetic factors,including non-coding RNAs or chromatin-related factors,might also play a role.Insights into the genetic control of flowering time variation in roses should benefit the development of new germplasm for woody crops and shed light on the molecular genetic bases for the production and maintenance of plant biodiversity.
基金supported by the National Science Fund for Excellent Young Scholars(32022012).
文摘Triticeae species,including wheat,barley,and rye,are critical for global food security.Mapping agronomically important genes is crucial for elucidating molecular mechanisms and improving crops.However,Triticeae includes many wild relatives with desirable agronomic traits,and frequent introgressions occurred during Triticeae evolution and domestication.Thus,Triticeae genomes are generally large and complex,making the localization of genes or functional elements that control agronomic traits challenging.Here,we developed Triti-Map,which contains a suite of user-friendly computational packages specifically designed and optimized to overcome the obstacles of gene mapping in Triticeae,as well as a web interface integrating multi-omics data from Triticeae for the efficient mining of genes or functional elements that control particular traits.The Triti-Map pipeline accepts bothDNA and RNAbulk-segregated sequencing data as well as traditional QTL data as inputs for locating genes and elucidating their functions.We illustrate the usage of Triti-Map with a combination of bulk-segregated ChIP-seq data to detect a wheat disease-resistance gene with its promoter sequence that is absent from the reference genome and clarify its evolutionary process.We hope that Triti-Map will facilitate gene isolation and accelerate Triticeae breeding.
