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Genomic convergence underlying high-altitude adaptation in alpine plants 被引量:1
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作者 Xu Zhang Tianhui Kuang +10 位作者 Wenlin Dong Zhihao Qian Huajie Zhang Jacob BLandis Tao Feng Lijuan Li Yanxia Sun Jinling Huang Tao Deng Hengchang Wang Hang Sun 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2023年第7期1620-1635,共16页
Evolutionary convergence is one of the most striking examples of adaptation driven by natural selection.However, genomic evidence for convergent adaptation to extreme environments remains scarce.Here, we assembled ref... Evolutionary convergence is one of the most striking examples of adaptation driven by natural selection.However, genomic evidence for convergent adaptation to extreme environments remains scarce.Here, we assembled reference genomes of two alpine plants, Saussurea obvallata(Asteraceae)and Rheum alexandrae(Polygonaceae), with 37,938 and 61,463 annotated protein-coding genes. By integrating an additional five alpine genomes,we elucidated genomic convergence underlying high-altitude adaptation in alpine plants. Our results detected convergent contractions of diseaseresistance genes in alpine genomes, which might be an energy-saving strategy for surviving in hostile environments with only a few pathogens present.We identified signatures of positive selection on a set of genes involved in reproduction and respiration(e.g., MMD1, NBS1, and HPR), and revealed signatures of molecular convergence on genes involved in self-incompatibility, cell wall modification,DNA repair and stress resistance, which may underlie adaptation to extreme cold, high ultraviolet radiation and hypoxia environments. Incorporating transcriptomic data, we further demonstrated that genes associated with cuticular wax and flavonoid biosynthetic pathways exhibit higher expression levels in leafy bracts, shedding light on the genetic mechanisms of the adaptive “greenhouse” morphology. Our integrative data provide novel insights into convergent evolution at a high-taxonomic level,aiding in a deep understanding of genetic adaptation to complex environments. 展开更多
关键词 ADAPTATION alpine plants evolutionary rates genomic convergence greenhousemorphology high altitude
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低能耗日光温室建筑空间形态特征参数的取值原则 被引量:6
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作者 杨枫光 陈超 +4 位作者 马彩雯 李印 韩枫涛 李亚茹 邹平 《新疆农业科学》 CAS CSCD 北大核心 2018年第3期535-547,共13页
【目的】建造低能耗日光温室,提高日光温室冬季反季节蔬菜作物生产太阳能被动利用率、降低温室供热需求。【方法】基于建筑热工设计理论和建筑能耗模拟,研究日光温室建筑空间形态特征参数对温室光热环境营造的影响规律,并结合日光温室... 【目的】建造低能耗日光温室,提高日光温室冬季反季节蔬菜作物生产太阳能被动利用率、降低温室供热需求。【方法】基于建筑热工设计理论和建筑能耗模拟,研究日光温室建筑空间形态特征参数对温室光热环境营造的影响规律,并结合日光温室建筑构造特点,以及反季节蔬菜作物生产过程的光热环境需求特点,给出低能耗日光温室建筑空间形态特征参数的设计条件。【结果】同一地区日光温室高跨比不受跨度变化的影响,只与当地室外空气温度以及太阳辐射强度的变化相关;大暑日至翌年小满日期间,后屋面水平投影长度不应影响日光温室后排蔬菜作物接收太阳光照;确保冬至日至大寒日期间北墙可接收太阳光照射,对冬季反季节蔬菜作物生产期及日光温室高效利用太阳能具有重要的影响。【结论】基于该取值原则优化设计的温室,较北京地区现行常见温室需要提供的累积补充供热量减少15.7%,节能效果明显,为低能耗日光温室优化设计提供重要设计依据和方法参考。 展开更多
关键词 低能耗日光温室 建筑空间形态特征参数 建筑热工理论 EnergyPlus能耗模拟软件 取值原则
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