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| 1 | Breeding by design for future rice:Genes and genome technologies显示文摘1.Introduction Rice is a staple food for 3.2 billion people.The food security threat that shook many Asian countries in 2008 still looms,because farmers are facing the challenge of producing more rice with fewer resources of water,land,and inputs. | Jianlong Xu Yongzhong Xing Yunbi Xu Jianmin Wan | 2021 | The Crop Journal2021，9，3： | 10 |
| 2 | From Green Super Rice to green agriculture:Reaping the promise of functional genomics research显示文摘Producing sufficient food with finite resources to feed the growing global population while having a smaller impact on the environment has always been a great challenge.Here,we review the concept and practices of Green Super Rice(GSR)that have led to a paradigm shift in goals for crop genetic improvement and models of food production for promoting sustainable agriculture.The momentous achievements and global deliveries of GSR have been fueled by the integration of abundant genetic resources,functional gene discoveries,and innovative breeding techniques with precise gene and whole-genome selection and efficient agronomic management to promote resource-saving,environmentally friendly crop production systems.We also provide perspectives on new horizons in genomic breeding technologies geared toward delivering green and nutritious crop varieties to further enhance the development of green agricul-ture and better nourish the world population. | Sibin Yu Jauhar Ali Shaochuan Zhou Guangjun Ren Huaan Xie Jianlong Xu Xinqiao Yu Fasong Zhou Shaobing Peng Liangyong Ma Dingyang Yuan Zefu Li Dazhou Chen Ruifeng Zheng Zhigang Zhao Chengcai Chu Aiqing You Yu Wei Susong Zhu Qiongyao Gu Guangcun He Shigui Li Guifu Liu Changhua Liu Chaopu Zhang Jinghua Xiao Lijun Luo Zhikang Li Qifa Zhang | 2022 | Molecular Plant2022，15，1： | 6 |
| 3 | An inferred functional impact map of genetic variants in rice显示文摘Interpreting the functional impacts of genetic variants(GVs)is an important challenge for functional genomic studies in crops and next-generation breeding.Previous studies in rice(Oryza sativa)have focused mainly on the identification of GVs,whereas systematic functional annotation of GVs has not yet been performed.Here,we present a functional impact map of GVs in rice.We curated haplotype information for 17397026 GVs from sequencing data of 4726 rice accessions.We quantitatively evaluated the effects of missense mutations in coding regions in each haplotype based on the conservation of amino acid residues and obtained the effects of 918848 non-redundant missense GVs.Furthermore,we generated high-quality chromatin accessibility(CA)data from six representative rice tissues and used these data to train deep convolutional neural network models to predict the impacts of 5067405 GVs for CA in regulatory regions.We characterized the functional properties and tissue specificity of the GV effects and found that large-effect GVs in coding and regulatory regions may be subject to selection in different directions.Finally,we demonstrated how the functional impact map could be used to prioritize causal variants in mapping populations.This impact map will be a useful resource for accelerating gene cloning and functional studies in rice,and can be freely queried in RiceVarMap V2.0(http://ricevarmap.ncpgr.cn). | Hu Zhao Jiacheng Li Ling Yang Gang Qin Chunjiao Xia Xingbing Xu Yangmeng Su Yinmeng Liu Luchang Ming Ling-Ung Chen Lizhong Xiong Weibo Xie | 2021 | Molecular Plant2021，14，9： | 3 |
| 4 | 水稻永久温敏核不育遗传特性浅析显示文摘【目的】创制永久温敏核不育系,为解决两系杂交水稻制种存在的安全问题提供支持。【方法】在采用轮回亲本聚合温敏和反温敏核不育基因创制永久温敏核不育系天丰M的基础上,研究天丰M不育的遗传特性。【结果】聚合了温敏和反温敏核不育基因的天丰M在高、低温下均表现不育,其不育性受2对基因控制,1对是温敏核不育等位基因,另1对是受温度调节的调控基因,即分别来自温敏和反温敏核不育系复等位的,随温度变化切换显隐性关系。在高温下,来自温敏的为显性,调控不育基因表现为不育;在低温下,来自反温敏的切换为显性,同样调控不育基因表达为不育。从不同温敏和反温敏核不育姊妹系测交类型4的群体分离表现得到证实,C_(31)(Z_(1)×F_(7))组合在低温下表现不育、可育和正常可育,不育株割茬再生发生不育与可育分离,实际表现为永久不育5株、低温不育高温可育6株、低温可育4株、正常可育7株,符合2对杂合基因1∶1∶1∶1分离比。这种受双基因控制的永久温敏核不育性可遗传、可恢复,且当温敏核不育基因为显性时,永久不育性可恢复。【结论】天丰M不育系可从根本上解决两系杂交水稻的制种安全问题。 | 江建华 张瑛 党小景 王德正 | 2023 | 广东农业科学2023，50，11： | 0 |
| 5 | PPARα基因SNPs对关岭黄牛生长性状的影响显示文摘本实验采用PCR产物测序和序列比对软件鉴定关岭黄牛PPARα基因SNPs,统计软件SPSS 23.0分析SNPs与生长性状的相关性,探索PPARα基因与关岭黄牛生长性状的关系。结果显示,在关岭黄牛PPARα基因中检测到4个SNPs:位于第7外显子的g.116502086 G>C和g.116502113 T>C同义突变、位于3’端非编码序列的g.116508773 C>T和g.116509086 G>A突变,g.116502086 G>C和g.116508773 C>T为中度多态位点,g.116502113 T>C和g.116509086 G>A为低度多态位点,4个SNPs均处于Hardy-Weinberg平衡状态,且SNPs间不存在强连锁不平衡,共产生5种单倍型和15种双倍型,单倍型H1出现频率最高、H5最低,双倍型H1H2出现频率最高、H5H5最低;g.116502086 G>C和g.116502113 T>C位点对体重均有显著影响;g.116508773 C>T位点对体重、体高、体斜长有显著效应,等位基因C对增加体重、体高、体斜长有利;g.116509086 G>A位点对体重和体高有显著效应,等位基因A对增加体重和体高有利,综合结果发现,4个SNPs产生的单倍型H4(G116502086T116502113C116508773A116509086)和双倍型H4H4(GG116502086TT116502113CC116508773AA116509086)有利于提高关岭黄牛体重、体高和体斜长,可能作为关岭黄牛生长性状选择的辅助性标记。 | 王春源 杨酸 谭元成 王盈童 张依裕 | 2023 | 中国畜牧杂志2023，59，11： | 0 |
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