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  • 1
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    A draft sequence for the genome of the domesticated silkworm (Bombyx mori) (2004)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2004-12-14
    Description: We report a draft sequence for the genome of the domesticated silkworm (Bombyx mori), covering 90.9% of all known silkworm genes. Our estimated gene count is 18,510, which exceeds the 13,379 genes reported for Drosophila melanogaster. Comparative analyses to fruitfly, mosquito, spider, and butterfly reveal both similarities and differences in gene content.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xia, Qingyou -- Zhou, Zeyang -- Lu, Cheng -- Cheng, Daojun -- Dai, Fangyin -- Li, Bin -- Zhao, Ping -- Zha, Xingfu -- Cheng, Tingcai -- Chai, Chunli -- Pan, Guoqing -- Xu, Jinshan -- Liu, Chun -- Lin, Ying -- Qian, Jifeng -- Hou, Yong -- Wu, Zhengli -- Li, Guanrong -- Pan, Minhui -- Li, Chunfeng -- Shen, Yihong -- Lan, Xiqian -- Yuan, Lianwei -- Li, Tian -- Xu, Hanfu -- Yang, Guangwei -- Wan, Yongji -- Zhu, Yong -- Yu, Maode -- Shen, Weide -- Wu, Dayang -- Xiang, Zhonghuai -- Yu, Jun -- Wang, Jun -- Li, Ruiqiang -- Shi, Jianping -- Li, Heng -- Li, Guangyuan -- Su, Jianning -- Wang, Xiaoling -- Li, Guoqing -- Zhang, Zengjin -- Wu, Qingfa -- Li, Jun -- Zhang, Qingpeng -- Wei, Ning -- Xu, Jianzhe -- Sun, Haibo -- Dong, Le -- Liu, Dongyuan -- Zhao, Shengli -- Zhao, Xiaolan -- Meng, Qingshun -- Lan, Fengdi -- Huang, Xiangang -- Li, Yuanzhe -- Fang, Lin -- Li, Changfeng -- Li, Dawei -- Sun, Yongqiao -- Zhang, Zhenpeng -- Yang, Zheng -- Huang, Yanqing -- Xi, Yan -- Qi, Qiuhui -- He, Dandan -- Huang, Haiyan -- Zhang, Xiaowei -- Wang, Zhiqiang -- Li, Wenjie -- Cao, Yuzhu -- Yu, Yingpu -- Yu, Hong -- Li, Jinhong -- Ye, Jiehua -- Chen, Huan -- Zhou, Yan -- Liu, Bin -- Wang, Jing -- Ye, Jia -- Ji, Hai -- Li, Shengting -- Ni, Peixiang -- Zhang, Jianguo -- Zhang, Yong -- Zheng, Hongkun -- Mao, Bingyu -- Wang, Wen -- Ye, Chen -- Li, Songgang -- Wang, Jian -- Wong, Gane Ka-Shu -- Yang, Huanming -- Biology Analysis Group -- 1 P50 HG02351/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Dec 10;306(5703):1937-40.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Southwest Agricultural University, Chongqing Beibei, 400716, China. xiaqy@swau.cq.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15591204" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Anopheles/genetics ; Body Patterning/genetics ; Bombyx/*genetics/growth & development/metabolism ; Butterflies/genetics ; Computational Biology ; DNA Transposable Elements ; Drosophila melanogaster/genetics ; Exocrine Glands/metabolism ; Expressed Sequence Tags ; Female ; Genes, Homeobox ; *Genes, Insect ; *Genome ; Immunity, Innate/genetics ; Insect Hormones/genetics ; Insect Proteins/genetics ; Male ; Molecular Sequence Data ; *Sequence Analysis, DNA ; Sequence Homology, Nucleic Acid ; Sex Determination Processes ; Spiders/genetics ; Wings, Animal/growth & development
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
    Electronic Resource
    Electronic Resource
    Citrate as an aluminum chelator and positive effector of the sodium efflux in single barnacle muscle fibers
    Amsterdam : Elsevier
    Biochimica et Biophysica Acta (BBA)/Biomembranes 1108 (1992), S. 210-214 
    Details
    ISSN: 0005-2736
    Keywords: Aluminum ; Barnacle fiber ; Citrate ; Sodium ion efflux
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Medicine , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0005-2736(92)90027-J
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  • 3
    Electronic Resource
    Electronic Resource
    Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 539-546 
    Details
    ISSN: 1432-2242
    Keywords: Restriction fragment length polymorphism ; Zea mays L. ; Quantitative resistance ; Oligogenic ; Gene mapping
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Breeding maize for gray leaf spot (GLS) resistance has been hindered by the quantitative nature of the inheritance of GLS resistance and by the limitations of selection under less than optimumal disease pressure. In order to identify the quantitative trait loci (QTLs) controlling GLS resistance, a cross was made between B73 (susceptible) and Va14 (resistant) to generate a large F2 population. Six GLS disease assessments were made throughout the disease season for over 1000 F2 plants in 1989, and for 600 F2-derived F3 lines replicated in two blocks in 1990. RFLP analysis for78 marker loci representing all ten maize chromosomes was conducted in 239 F2 individuals including those with the extreme GLS disease phenotypes. The GLS disease scores of the three field evaluations, each averaged over six ratings, were separately used for the interval mapping in order to determine the consistency of the QTL effects. The heavy GLS disease pressure, meticulous disease ratings, and large population size of this study afforded us the sensitivity for detecting QTL effects. QTLs located on three chromosomes (1, 4, and 8) had large effects on GLS resistance, each explaining 35.0–56.0%, 8.8–14.3%, and 7.7–11.0% of the variance, respectively. These three QTL effects were remarkably consistent across three disease evaluations over 2 years and two generations. Smaller QTL effects were also found on chromosomes 2 and 5, but the chromosome-5 effect might be a false positive because it was not repeatable even in the same location. The chromosome-1 QTLs had the largest effect or highest R2 reported for any quantitative trait to-date. Except for the chromosome-4 gene, which was from the susceptible parent B73, the resistance alleles at all QTL were derived from Va14. The resistance QTLs on chromosomes 1 and 2 appear to have additive effects, but those on chromosomes 4 and 8 are dominant and recessive, respectively. Significant interaction between the QTLs on chromosomes 1 and 4 was detected in all three evaluations. Cumulatively, the four QTLs identified in this study explained 44, 60, and 68% of the variance in F2, and in F3 replications 1 and 2, respectively.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00417945
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  • 4
    Electronic Resource
    Electronic Resource
    Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize (1996)
    Springer
    Theoretical and applied genetics 93 (1996), S. 539-546 
    Details
    ISSN: 1432-2242
    Keywords: Key words Restriction fragment length polymorphism ; Zea mays L. ; Quantitative resistance ; Oligogenic ; Gene mapping
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Breeding maize for gray leaf spot (GLS) resistance has been hindered by the quantitative nature of the inheritance of GLS resistance and by the limitations of selection under less than optimumal disease pressure. In order to identify the quantitative trait loci (QTLs) controlling GLS resistance, a cross was made between B73 (susceptible) and Va14 (resistant) to generate a large F2 population. Six GLS disease assessments were made throughout the disease season for over 1000 F2 plants in 1989, and for 600 F2-derived F3 lines replicated in two blocks in 1990. RFLP analysis for 78 marker loci representing all ten maize chromosomes was conducted in 239 F2 individuals including those with the extreme GLS disease phenotypes. The GLS disease scores of the three field evaluations, each averaged over six ratings, were separately used for the interval mapping in order to determine the consistency of the QTL effects. The heavy GLS disease pressure, meticulous disease ratings, and large population size of this study afforded us the sensitivity for detecting QTL effects. QTLs located on three chromosomes (1, 4, and 8) had large effects on GLS resistance, each explaining 35.0–56.0%, 8.8–14.3%, and 7.7–11.0% of the variance, respectively. These three QTL effects were remarkably consistent across three disease evaluations over 2 years and two generations. Smaller QTL effects were also found on chromosomes 2 and 5, but the chromosome-5 effect might be a false positive because it was not repeatable even in the same location. The chromosome-1 QTLs had the largest effect or highest R2 reported for any quantitative trait to-date. Except for the chromosome-4 gene, which was from the susceptible parent B73, the resistance alleles at all QTL were derived from Va14. The resistance QTLs on chromosomes 1 and 2 appear to have additive effects, but those on chromosomes 4 and 8 are dominant and recessive, respectively. Significant interaction between the QTLs on chromosomes 1 and 4 was detected in all three evaluations. Cumulatively, the four QTLs identified in this study explained 44, 60, and 68% of the variance in F2, and in F3 replications 1 and 2, respectively.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050312
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