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QTL Mapping for Stalk Related Traits in Maize (Zea mays L.) Under Different Densities

Journal of Integrative Agriculture 2013年第2期12卷 218-228页

作者： ZHU Li-ying CHEN Jing-tang Li Ding ZHANG Jian-hua HUANG ya-qun ZHAO Yong-feng SONG Zhan-quan LIU Zhi-zeng College of Agronomy Agricultural University of Hebei/Hebei Sub-Center of National Maize Improvement Center Ministry of Agriculture/Northern China Key Laboratory for Crop Germplasm Resources Ministry of Education Baoding University

Stalk related traits, comprising plant height （PH）, ear height （EH）, internode number （IN）, average internode length （ALL）, stalk diameter （SD）, and ear height coefficient （EHC）, are significantly correlated with yield, density tolerance, and lodging resistance in maize. To investigate the genetic basis for stalk related traits, a doubled haploid （DH） population derived from a cross between NX531 and NX110 were evauluated under two densities over 2 yr. The additive quantitative trait loci （QTLs）, epistatic QTLs were detected using inclusive composite interval mapping and QTL-by-environment interaction were detected using mixed linear model. Differences between the two densities were significant for the six traits in the DH population. A linkage map that covered 1 721.19 cM with an average interval of 10.50 cM was constructed with 164 simple sequence repeat （SSR）. Two, two, seven, six, two, and eight additive QTLs for PH, IN, AIL, EH, SD, and EHC, respectively. The extend of their contribution to penotypic variation ranged from 10.10 to 31.93%. Seven QTLs were indentified simultaneously under both densities. One pair, two pairs and one pair of epistatic effects were detected for AIL, SD and EHC, respectively. No epistatic effects were detected for PH, EH, and IN. Nineteen QTLs with environment interactions were detected and their contribution to phenotypic variation ranged from 0.43 to 1.89%. Some QTLs were stably detected under different environments or genetic backgrounds comparing with previous studies. These QTLs could be useful for genetic improvement of stalk related traits in maize breeding.

关键词： maize density stalk related traits quantitative trait loci epistatic effect QTL-by-environment interaction

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稻粒黑粉病菌实时荧光定量PCR内参基因筛选

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植物病理学报 2018年第5期48卷 640-647页

作者：盘林秀王娜王爱军夏园付成林殷得所郑爱萍四川农业大学水稻研究所温江611130 四川农业大学西南作物基因资源与遗传改良教育部重点试验室雅安6250142 湖北省农业科学院粮食作物研究所武汉430000

实时荧光定量PCR是一种被广泛应用于基因表达研究的分子技术,内参基因的选择对试验结果的可靠性起重要作用。稻粒黑粉病是一种全球性水稻真菌病害,目前没有关于稻粒黑粉病菌内参基因的报道。本文选择6个常用内参基因,对其在稻粒黑粉病... 详细信息

实时荧光定量PCR是一种被广泛应用于基因表达研究的分子技术,内参基因的选择对试验结果的可靠性起重要作用。稻粒黑粉病是一种全球性水稻真菌病害,目前没有关于稻粒黑粉病菌内参基因的报道。本文选择6个常用内参基因,对其在稻粒黑粉病菌不同菌株、不同生活史阶段和不同浓度Basta处理3组生物学样本中的稳定性进行比较分析。经geNorm3.5、NormFinder0.953及BestKeeper1.0软件综合评价,结果显示在不同菌株、不同生活史阶段、不同浓度Basta处理生物学样本中,最稳定的内参基因分别为UBQ、GAPDH和EF1α,最优组合分别为UBQ/GAPDH、UBQ/GAPDH和EF1α/GAPDH。本研究结果为稻粒黑粉病菌基因表达研究奠定了基础,同时对其他真菌内参基因的选择提供了参考。

关键词：稻粒黑粉病菌实时荧光定量PCR 内参基因

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卫星搭载凤仙花SP_(10)代光合生理及RAPD分子检测

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分子植物育种 2018年第5期16卷 1573-1579页

作者：廖雪兰廖科文国琴王梅张玉娟张莉邬梦郗潘远智四川农业大学风景园林学院成都611130 西华师范大学珍稀动植物研究所南充637002 南充职业技术学院南充637131 南充市农业科学院南充637000

空间环境可以引起植物形态、生理、遗传物质等方面的变异,为获取性状优良的突变体材料提供了可能。本试验所用材料是经搭载"神舟4号"飞船后选育获得的凤仙花突变体SP10代。通过对其光合基本特性和RAPD分子标记差异性分析,结果表明:凤仙... 详细信息

空间环境可以引起植物形态、生理、遗传物质等方面的变异,为获取性状优良的突变体材料提供了可能。本试验所用材料是经搭载"神舟4号"飞船后选育获得的凤仙花突变体SP10代。通过对其光合基本特性和RAPD分子标记差异性分析,结果表明:凤仙花突变体后代性状稳定,株高较普通凤仙花矮;光饱和点在700μmol·m^(-2)·s^(-1)附近,不耐强光;凤仙花突变体后代较普通凤仙花更低的叶绿素含量,更低的光合速率,则意味着更低的光合产物的积累和生物量,因此凤仙花突变体后代需要更长的时间完成生活周期。选用17对随机RAPD引物,获得的扩增产物分子量在200~2 000 bp之间,条带清晰、反应结果稳定、重复性好。航天诱变的凤仙花很多遗传物质发生了质的变化,一些功能表达基因的改变引起了性状的相对改变。该研究为诱变凤仙花的园林栽培应用、品种改良提供了参考。

关键词：卫星搭载凤仙花光合生理 RAPD分子检测

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The numbers of fungi:are the most speciose genera truly diverse?

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Fungal Diversity 2022年第3期114卷 387-462页

作者： Chitrabhanu S.Bhunjun Tuula Niskanen Nakarin Suwannarach Nopparat Wannathes Yi-Jyun Chen Eric H.C.McKenzie Sajeewa S.N.Maharachchikumbura Bart Buyck Chang-Lin Zhao Yu-Guang Fan Jing-Yi Zhang Asha J.Dissanayake Diana S.Marasinghe Ruvishika S.Jayawardena Jaturong Kumla Mahajabeen Padamsee ya-ya Chen Kare Liimatainen Joseph F.Ammirati Chayanard Phukhamsakda Jian-Kui Liu Wiphawanee Phonrob Émile Randrianjohany Sinang Hongsanan Ratchadawan Cheewangkoon Digvijayini Bundhun Surapong Khuna Wen-Jie Yu Lun-Sha Deng Yong-Zhong Lu Kevin D.Hyde Saisamorn Lumyong Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Jodrell laboratory Royal Botanic GardensKewSurrey TW93ABUK Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Research Center of Microbial Diversity and Sustainable Utilization Chiang Mai UniversityChiang Mai 50200Thailand Microbiology Program Faculty of Science and TechnologyPibulsongkram Rajabhat UniversityPhitsanulok 65000Thailand Manaaki Whenua-Landcare Research Private Mail Bag 92170AucklandNew Zealand School of Life Science and Technology University of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Institut de Systématique EvolutionBiodiversité(ISYEB)Muséum National d’Histoire naturelleCNRSSorbonne UniversitéEPHEUniversitédes Antilles57 rue CuvierCP 3975231 Paris cedex 05France College of Biodiversity Conservation Southwest Forestry UniversityKunming 650224People’s Republic of China key laboratory of Tropical Translational Medicine of ministry of education Tropical Environment and Health LaboratoryCollege of PharmacyHainan Medical UniversityHaikou 571199People’s Republic of China Institute of crop Germplasm resources Guizhou Academy of Agricultural SciencesGuiyang 550006People’s Republic of China Guizhou key laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006People’s Republic of China School of Food and Pharmaceutical Engineering Guizhou Institute of TechnologyGuiyang 550003People’s Republic of China Centre National de Recherche sur l’Environnement(CNRE) BP 1739Laboratoire de Microbiologie de l’Environnement(LME)AntananarivoMadagascar Department of Biology University of WashingtonBox 351800SeattleWA 98195-1800USA College of Plant Protection Jilin Agricultural UniversityChangchun 130118JilinPeople’s Republic of China Engineering Research Center of Chinese ministry of education for Edible and

Fungi play vital roles in ecosystems as endophytes,pathogens and *** current estimate of fungal diversity is highly uncertain,ranging from 1.5 to 12 million,but only around 150,000 species have been named and classified to *** the introduction of DNA based methods for species identification,the number of newly described taxa has increased from approximately 1000 to around 2000 *** demonstrates the importance of DNA based methods to identify and distin-guish species,especially cryptic *** novel species from recent studies have been found in historically understudied regions and habitats,but these still represent only a small percentage of the estimated *** this paper,we examine 16 genera from the top 40 most speciose genera as listed in Species Fungorum as case studies to examine the diversity of taxa in each *** genera treated herein are Cercospora,Diaporthe,Meliola,Passalora,Phyllachora,Phyllosticta,Pseudocer-cospora,Ramularia(ascomycetes)and Cortinarius,Entoloma,Inocybe,Marasmius,Psathyrella,Puccinia,Russula,Uromyces(basidiomycetes).We critically evaluate the number of species in these genera and correlate these numbers with the number of entries in *** introduce 18 new species Apiospora multiloculata,Candolleomyces thailandensis,Cortinarius acutoproximus,Cortinarius melleoalbus,Cortinarius pacificus,Cortinarius parvoacetosus,Diaporthe guizhouensis,Entoloma pseudosubcorvinum,Inocybe meirensongia,Marasmius albulus,Marasmius obscuroaurantiacus,Meliola camporesii,Phyl-lachora siamensis,Phyllosticta doitungensis,Picipes yuxiensis,Pseudocercospora vignae,Puccinia maureanui and Russula *** also introduce a new record of Candolleomyces cladii-marisci and Inocybe *** discuss the genera Colletotrichum and Pleurotus that are speciose,but do not occur in the top *** hypothesize whether there might be more species in these genera and discuss why these genera have some of the largest number of specie

关键词： 18 new taxa Ascomycota Basidiomycota Fungal diversity Host-specificity Taxonomy

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SoySNP618K array:A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding

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Journal of Integrative Plant Biology 2022年第3期64卷 632-648页

作者： yan-Fei Li Ying-Hui Li Shan-Shan Su Jochen CReif Zhao-Ming Qi Xiao-Bo Wang Xing Wang Yu Tian De-Lin Li Ru-Jian Sun Zhang-Xiong Liu Ze-Jun Xu Guang-Hui Fu ya-Liang Ji Qing-Shan Chen Ji-Qiang Liu Li-Juan Qiu The National key Facility for crop Gene resources and genetic improvement(NFCRI)/key laboratory of crop Gene Resource andGermplasm Enhancement(MOA)/key laboratory of Soybean Biology(Beijing)(MOA) Institute of Crop SciencesChinese Academy ofAgricultural SciencesBeijing 100081China Beijing Compass Biotechnology Co.Ltd Beijing 102206China Department of Breeding Research Leibniz Institute of Plant Genetics and Crop Plant Research(IPK)Gatersleben 06466Germany key laboratory of Soybean Biology in Chinese ministry of education(key laboratory of Soybean Biology and Breeding/genetics ofChinese Agriculture ministry) Northeast Agricultural UniversityHarbin 150030China School of Agronomy Anhui Agricultural UniversityHefei 230036China Xuzhou Institute of Agricultural Sciences of Xu-huai Region of Jiangsu Xuzhou 221131China Department of Plant genetics and Breeding China Agricultural UniversityBeijing 100193China Hulun Buir Institution of Agricultural Sciences ZhalantunInner Mongolia 021000China Suzhou Academy of Agricultural Sciences Suzhou 234000China

Innovations in genomics have enabled the development of low-cost,high-resolution,single nucleotide polymorphism(SNP)genotyping arrays that accelerate breeding progress and support basic research in crop ***,we developed and validated the Soy SNP618 K array(618,888 SNPs)for the important crop *** SNPs were selected from whole-genome resequencing data containing 2,214 diverse soybean accessions;29.34%of the SNPs mapped to genic regions representing 86.85%of the 56,044annotated high-confidence ***-by-state analyses of 318 soybeans revealed 17 redundant accessions,highlighting the potential of the Soy SNP618 K array in supporting gene bank *** patterns of population stratification and genomic regions enriched through domestication were highly consistent with previous findings based on resequencing data,suggesting that the ascertainment bias in the Soy SNP618 K array was largely compensated ***-wide association mapping in combination with reported quantitative trait loci enabled fine-mapping of genes known to influence flowering time,E2 and Gm PRR3 b,and of a new candidate gene,Gm ***,genomic prediction of flowering and maturity time in 502 recombinant inbred lines was highly accurate(>0.65).Thus,the Soy SNP618 K array is a valuable genomic tool that can be used to address many questions in applied breeding,germplasm management,and basic crop research.

关键词： functional single nucleotide polymorphism array gene discovery genomic selection genome-wide association studies marker-assisted selection soybean

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A major and stable QTL for wheat spikelet number per spike validated in different genetic backgrounds

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Journal of Integrative Agriculture 2022年第6期21卷 1551-1562页

作者： DING Pu-yang MO Zi-qiang TANG Hua-ping MU yang DENG Mei JIANG Qian-tao LIU ya-xi CHEN Guang-deng CHEN Guo-yue WANG Ji-rui LI Wei QI Peng-fei JIANG Yun-feng KANG Hou-yang yaN Gui-jun WEI Yu-ming ZHENG You-liang LAN Xiu-jin MA Jian State key laboratory of crop Gene Exploration and Utilization in southwest china Ministry of Science and Technology/Triticeae Research InstituteSichuan Agricultural UniversityChengdu 611130P.R.China College of resources Sichuan Agricultural UniversityChengdu 611130P.R.China College of Agronomy Sichuan Agricultural UniversityChengdu 611130P.R.China UWA School of Agriculture and Environment and The UWA Institute of Agriculture Faculty of ScienceUniversity of Western AustraliaCrawley 6009Australia

The spikelet number per spike(SNS)contributes greatly to grain yield in *** various genes that control wheat SNS is vital for yield *** study used a recombinant inbred line population genotyped by the Wheat55K single-nucleotide polymorphism array to identify two major and stably expressed quantitative trait loci(QTLs)for *** of them(***-2SY-2D.1)was reported previously,while the other(***-2SY-7A)was newly detected and further analyzed in this ***-2SY-7A had a high LOD value ranging from 4.46 to 16.00 and explained 10.21-40.78%of the phenotypic ***-2SY-7A was flanked by the markers AX-110518554 and AX-110094527 in a 4.75-cM interval on chromosome arm *** contributions and interactions of both major QTLs were further analyzed and *** effect of ***-2SY-7A was successfully validated by developing a tightly linked kompetitive allele specific PCR marker in an F_(2:3) population and a panel of 101 high-generation breeding wheat ***,several genes including the previously reported WHEAT ORTHOLOG OF APO1(WAPO1),an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1(APO1)related to SNS,were predicted in the interval of *** summary,these results revealed the genetic basis of the multi-spikelet genotype of wheat line 20828 and will facilitate subsequent fine mapping and breeding utilization of the major QTLs.

关键词： yield potential QTL detection QTL validation predicted genes tightly linked KASP marker

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样本量对云南松幼苗生物量模型构建及预估精度的影响

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植物研究 2019年第6期39卷 890-898页

作者：李亚麒许玉兰李伟孙继伟汪梦婷蔡年辉西南林业大学西南山地森林资源保育与利用教育部重点实验室昆明650224 西南林业大学云南省高校林木遗传改良与繁育重点实验室昆明650224 云南吉成园林科技股份有限公司弥勒652300

为探究不同样本量对生物量模型构建及建模精度的影响,以实际调查的20个家系,共615株云南松幼苗为例,通过编写计算机程序建立进行简单随机抽样,构建不同样本量云南松幼苗各器官及单株生物量异速生长方程。利用决定系数(R 2)、估计值标准... 详细信息

为探究不同样本量对生物量模型构建及建模精度的影响,以实际调查的20个家系,共615株云南松幼苗为例,通过编写计算机程序建立进行简单随机抽样,构建不同样本量云南松幼苗各器官及单株生物量异速生长方程。利用决定系数(R 2)、估计值标准误(SEE)、均方根误差(RMSE)、总相对误差(RS)及平均误差绝对值(MAB),对模型拟合优度与精度进行比较分析。结果表明:幂函数方程可较好地用于估测云南松幼苗生物量;随着样本量的增加模型精度评估指数MAB呈幂函数形式逐渐减小;当样本数量小于200时MAB较为敏感,模型精度较差,样本量大于200时,其精度随样本量逐渐增加,但变化幅度逐步减小并趋于稳定。因此,根据MAB的变化趋势,样本量达到200时可以构建精度较高且稳定模型。

关键词：云南松样本量异速生长方程预测精度

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基于SSR标记的不同优势等级云南松遗传多样性分析

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植物研究 2019年第1期39卷 87-95页

作者：蔡年辉许玉兰王亚楠陈诗汪梦婷李根前西南林业大学西南山地森林资源保育与利用教育部重点实验室昆明650224 西南林业大学云南省高校林木遗传改良与繁育重点实验室昆明650224

基于SSR分子标记技术,按树高和胸径(地径)因子将样地内的植株分为优势木、中等木和劣势木3类,对不同生长优势等级云南松林木的遗传多样性变异特征进行了研究。结果表明:在林冠层,优势木的有效等位基因数、Shannon’s信息指数、观测杂合... 详细信息

基于SSR分子标记技术,按树高和胸径(地径)因子将样地内的植株分为优势木、中等木和劣势木3类,对不同生长优势等级云南松林木的遗传多样性变异特征进行了研究。结果表明:在林冠层,优势木的有效等位基因数、Shannon’s信息指数、观测杂合度和期望杂合度分别为2.083、0.762、0.290和0.423,略高于中等木和劣势木;在更新层,有效等位基因数、Shannon’s信息指数、观测杂合度和期望杂合度分别为2.063、0.774、0.272和0.410,除观测杂合度外,其余3个指标也均表现为优势木略高于中等木和劣势木。从差异显著性检验来看,不同生长优势等级云南松林木间的遗传多样性差异不显著,即林木生长分化对遗传多样性的影响不明显。

关键词：优势等级遗传多样性云南松

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玉米CMS-C同质异核不育系育性恢复的遗传研究

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遗传 2018年第5期40卷 402-414页

作者：赵卓凡黄玲刘永明张鹏魏桂曹墨菊四川农业大学玉米研究所教育部作物基因资源与遗传改良重点实验室农业部西南玉米生物学及遗传育种重点实验室成都611130 四川省农业科学院经济作物育种栽培研究所成都610300

玉米是最早利用细胞质雄性不育系生产杂交种的作物之一,C型细胞质雄性不育系(C-type cytoplasmic male sterile,CMS-C)在杂交种生产中具有重要的作用,育性恢复的稳定性直接影响其应用价值。然而,玉米CMS-C的育性恢复机理复杂,且至今仍... 详细信息

玉米是最早利用细胞质雄性不育系生产杂交种的作物之一,C型细胞质雄性不育系(C-type cytoplasmic male sterile,CMS-C)在杂交种生产中具有重要的作用,育性恢复的稳定性直接影响其应用价值。然而,玉米CMS-C的育性恢复机理复杂,且至今仍不明确。为进一步探究玉米CMS-C育性恢复的影响因素,本研究以玉米CMS-C同质异核不育系C48-2、C黄早四和C478为母本,分别与测验系18白、自330、5022以及恢复系A619组配杂交获得F1。其中育性恢复F1通过自交获得F2,并以育性恢复F1为父本分别给育性保持F1授粉,组配双交群体,共获得4个F2群体,6个双交群体。同时以不育系C48-2、C黄早四和C478为母本,各自的保持系48-2、黄早四和478为父本杂交组配不完全双列杂交F1。将所有杂交组合的F1、F2以及双交组合群体分别在不同年份不同地点种植观察,通过植株田间育性调查并结合室内花粉镜检鉴定育性表现。结果表明:1)同一测验系对玉米CMS-C同质异核不育系的恢保关系不同,暗示不育系的核背景参与调控育性恢复表现;2)在不同年份不同地点对(C48-2×A619)F2群体进行种植观察,发现不同环境下F2群体可育株与不育株的分离比均符合15∶1,但在云南种植的可育株的育性级别主要为Ⅲ和Ⅳ级,而在四川种植的可育株的育性级别主要为Ⅴ级,表明环境对恢复系A619恢复后代的育性表现有影响;3)通过恢保关系测定发现18白不能恢复C478,48-2也不能恢复C478,但双交群体[(C478×18白)F1S×(C48-2×18白)F1F]后代却出现了可育株与不育株的分离;同理,双交群体[(C48-2×自330)F1S×(C478×自330)F1F]的后代也出现了可育株与不育株的分离。因此,本文推测C48-2、C478核背景中存在微效恢复基因,这些微效基因与18白、自330中的微效恢复基因通过杂交聚合后能使C478、C48-2的育性恢复,暗示玉米CMS-C的育性恢复呈现一定的剂量效应。这些结果为进一步认识玉米CMS-C育性恢复的复杂性和多样性奠定了基础,为深入研究玉米CMS-C育性恢复机理以及加快CMS-C在不育化制种中的应用提供重要参考。

关键词：玉米 CMS-C 育性恢复双交群体

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不同择伐方式下云南松群体遗传多样性SSR分析

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西南农业学报 2019年第7期32卷 1498-1502页

作者：许玉兰汪梦婷蔡年辉王亚楠西南林业大学云南省高校林木遗传改良与繁育重点实验室云南昆明650224 西南林业大学西南山地森林资源保育与利用教育部重点实验室云南昆明650224

【目的】探讨不同择伐方式对云南松群体遗传多样性的影响。【方法】采用SSR分子标记技术分析云南松留优去劣、无人为择伐和伐优留劣3种方式的遗传多样性,比较遗传多样性的变异规律。【结果】云南松群体有效等位基因、Shannon′s信息指... 详细信息

【目的】探讨不同择伐方式对云南松群体遗传多样性的影响。【方法】采用SSR分子标记技术分析云南松留优去劣、无人为择伐和伐优留劣3种方式的遗传多样性,比较遗传多样性的变异规律。【结果】云南松群体有效等位基因、Shannon′s信息指数和多态位点百分率分别为2.121、0.819和95.56%,云南松群体遗传多样性丰富。各群体间的遗传分化系数为0.012,遗传分化低,基因流高,变异主要来源于群体内,留优去劣群体的遗传多样性水平稍高于其他两类群体。【结论】不同择伐方式对云南松群体遗传多样性的影响不明显,生产中可对林分适度择伐,且保留优质木。

关键词：云南松择伐遗传多样性 SSR标记

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