ALBERT

Description: Rice being the staple food crops, hundreds of land races in it makes the diversity of rice crops. Aerobic rice production was introduced which requires much less water input to safeguard and sustain the rice production and conserve water due to decreasing water resources, climatic changes and competition from urban and industrial users. Mechanization system plays an important role for the success of aerobic rice cultivation. All farming activities for aerobic rice production are run on aerobic soil conditions. Row seeder mechanization system is developed to replace conventional seeding technique on the aerobic rice field. It is targeted for small and the large scale aerobic rice farmers. The aero - seeder machine is used for the small scale aerobic rice field, while the accord - seeder is used for the large scale aerobic rice field. The use of this mechanization machine can eliminate the tedious and inaccurate seeding operations reduce labour costs and increases work rate. The ma...

Description: Polarization sensitive photoluminescence is performed on single non-polar InGaN quantum dots. The studied InGaN quantum dots are found to have linearly polarized emission with a common polarization direction defined by the [0001] crystal axis. Around half of ∼40 studied dots have a polarization degree of 1. For those lines with a polarization degree less than 1, we can resolve fine structure splittings between −800  μ eV and +800  μ eV, with no clear correlation between fine structure splitting and emission energy.

Description: To date, meta-analyses of effects of acidification have focused on the overall strength of evidence for statistically significant responses; however, to anticipate likely consequences of ocean acidification, quantitative estimates of the magnitude of likely responses are also needed. Here, we use random-effects meta-analysis to produce a systematically integrated measure of the distribution of magnitudes of the response of coral calcification to decreasing Ω Arag . We also tested whether methodological and biological factors that have been hypothesized to drive variation in response magnitude explain a significant proportion of the among-study variation. We found that the overall mean response of coral calcification is ~15% per unit decrease in Ω Arag over the range 2〈Ω Arag 〈4. Among-study variation is large (standard deviation of 8% per unit decrease in Ω Arag ). Neither differences in carbonate chemistry manipulation method, study duration, irradiance level, nor study species growth rate explained a significant proportion of the among-study variation. However, studies employing buoyant weighting found significantly smaller decreases in calcification per unit Ω Arag (~10%), compared to studies using the alkalinity anomaly technique (~25%). These differences may be due to the greater tendency for the former to integrate over light and dark calcification. If the existing body of experimental work is indeed representative of likely responses of corals in nature, our results imply that, under business as usual conditions, declines in coral calcification by end-of-century will be ~22%, on average, or ~15% if only studies integrating light and dark calcification are considered. These values are near the low end of published projections, but support the emerging view that variability due to local environmental conditions and species composition is likely to be substantial. © 2012 Blackwell Publishing Ltd

Description: The bromodomain and extra-terminal inhibitor CPI203 enhances the antiproliferative effects of rapamycin on human neuroendocrine tumors Cell Death and Disease 5, e1450 (October 2014). doi:10.1038/cddis.2014.396 Authors: C Wong, S V Laddha, L Tang, E Vosburgh, A J Levine, E Normant, P Sandy, C R Harris, C S Chan & E Y Xu

Description: A sizable fraction of colorectal cancer (CRC) is expected to be explained by heritable factors, with heritability estimates ranging from 12 to 35% twin and family studies. Genome-wide association studies (GWAS) have successfully identified a number of common single-nucleotide polymorphisms (SNPs) associated with CRC risk. Although it has been shown that these CRC susceptibility SNPs only explain a small proportion of the genetic risk, it is not clear how much of the heritability these SNPs explain and how much is left to be detected by other, yet to be identified, common SNPs. Therefore, we estimated the heritability of CRC under different scenarios using Genome-Wide Complex Trait Analysis in the Genetics and Epidemiology of Colorectal Cancer Consortium including 8025 cases and 10 814 controls. We estimated that the heritability explained by known common CRC SNPs identified in GWAS was 0.65% (95% CI:0.3–1%; P = 1.11 x 10–16), whereas the heritability explained by all common SNPs was at least 7.42% (95% CI: 4.71–10.12%; P = 8.13 x 10 –8 ), suggesting that many common variants associated with CRC risk remain to be detected. Comparing the heritability explained by the common variants with that from twin and family studies, a fraction of the heritability may be explained by other genetic variants, such as rare variants. In addition, our analysis showed that the gene x smoking interaction explained a significant proportion of the CRC variance ( P = 1.26 x 10 –2 ). In summary, our results suggest that known CRC SNPs only explain a small proportion of the heritability and more common SNPs have yet to be identified.

Description: Systemic lupus erythematosus (SLE) is a prototypic autoimmune disease that affects mainly females. What role the X chromosome plays in the disease has always been an intriguing question. In this study, we examined the genetic variants on the X chromosome through meta-analysis of two genome-wide association studies (GWAS) on SLE on Chinese Han populations. Prominent association signals from the meta-analysis were replicated in 4 additional Asian cohorts, with a total of 5373 cases and 9166 matched controls. We identified a novel variant in PRPS2 on Xp22.3 as associated with SLE with genome-wide significance (rs7062536, OR = 0.84, P = 1.00E–08). Association of the L1CAM-MECP2 region with SLE was reported previously. In this study, we identified independent contributors in this region in NAA10 (rs2071128, OR = 0.81, P = 2.19E–13) and TMEM187 (rs17422, OR = 0.75, P = 1.47E–15), in addition to replicating the association from IRAK1-MECP2 region (rs1059702, OR = 0.71, P = 2.40E–18) in Asian cohorts. The X-linked susceptibility variants showed higher effect size in males than that in females, similar to results from a genome-wide survey of associated SNPs on the autosomes. These results suggest that susceptibility genes identified on the X chromosome, while contributing to disease predisposition, might not contribute significantly to the female predominance of this prototype autoimmune disease.

Description: Experimental observation of Rabi rotations between an exciton excited state and the crystal ground state in a single non-polar InGaN quantum dot is presented. The exciton excited state energy is determined by photoluminescence excitation spectroscopy using two-photon excitation from a pulsed laser. The population of the exciton excited state is seen to undergo power dependent damped Rabi oscillations.

Description: Biological systems can produce extraordinary inorganic structures and morphologies. The mechanisms of synthesis are poorly understood but are of great interest for engineering novel materials. We use spectromicroscopy to show that microbially generated submicrometer-diameter iron oxyhydroxide (FeOOH) filaments contain polysaccharides, providing an explanation for the formation of akaganeite pseudo-single crystals with aspect ratios of approximately 1000:1. We infer that the cells extrude the polysaccharide strands to localize FeOOH precipitation in proximity to the cell membrane to harness the proton gradient for energy generation. Characterization of organic compounds with high spatial resolution, correlated with mineralogical information, should improve our understanding of biomineralization mechanisms.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chan, Clara S -- De Stasio, Gelsomina -- Welch, Susan A -- Girasole, Marco -- Frazer, Bradley H -- Nesterova, Maria V -- Fakra, Sirine -- Banfield, Jillian F -- New York, N.Y. -- Science. 2004 Mar 12;303(5664):1656-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15016997" target="_blank"〉PubMed〈/a〉

Description: The enzyme that catalyzes the synthesis of the major structural component of the yeast cell wall, beta(1--〉3)-D-glucan synthase (also known as 1,3-beta-glucan synthase), requires a guanosine triphosphate (GTP) binding protein for activity. The GTP binding protein was identified as Rho1p. The rho1 mutants were defective in GTP stimulation of glucan synthase, and the defect was corrected by addition of purified or recombinant Rho1p. A protein missing in purified preparations from a rho1 strain was identified as Rho1p. Rho1p also regulates protein kinase C, which controls a mitogen-activated protein kinase cascade. Experiments with a dominant positive PKC1 gene showed that the two effects of Rho1p are independent of each other. The colocalization of Rho1p with actin patches at the site of bud emergence and the role of Rho1p in cell wall synthesis emphasize the importance of Rho1p in polarized growth and morphogenesis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Drgonova, J -- Drgon, T -- Tanaka, K -- Kollar, R -- Chen, G C -- Ford, R A -- Chan, C S -- Takai, Y -- Cabib, E -- New York, N.Y. -- Science. 1996 Apr 12;272(5259):277-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory od Biochemistry and Metabolism, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8602514" target="_blank"〉PubMed〈/a〉

Description: Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neafsey, Daniel E -- Waterhouse, Robert M -- Abai, Mohammad R -- Aganezov, Sergey S -- Alekseyev, Max A -- Allen, James E -- Amon, James -- Arca, Bruno -- Arensburger, Peter -- Artemov, Gleb -- Assour, Lauren A -- Basseri, Hamidreza -- Berlin, Aaron -- Birren, Bruce W -- Blandin, Stephanie A -- Brockman, Andrew I -- Burkot, Thomas R -- Burt, Austin -- Chan, Clara S -- Chauve, Cedric -- Chiu, Joanna C -- Christensen, Mikkel -- Costantini, Carlo -- Davidson, Victoria L M -- Deligianni, Elena -- Dottorini, Tania -- Dritsou, Vicky -- Gabriel, Stacey B -- Guelbeogo, Wamdaogo M -- Hall, Andrew B -- Han, Mira V -- Hlaing, Thaung -- Hughes, Daniel S T -- Jenkins, Adam M -- Jiang, Xiaofang -- Jungreis, Irwin -- Kakani, Evdoxia G -- Kamali, Maryam -- Kemppainen, Petri -- Kennedy, Ryan C -- Kirmitzoglou, Ioannis K -- Koekemoer, Lizette L -- Laban, Njoroge -- Langridge, Nicholas -- Lawniczak, Mara K N -- Lirakis, Manolis -- Lobo, Neil F -- Lowy, Ernesto -- MacCallum, Robert M -- Mao, Chunhong -- Maslen, Gareth -- Mbogo, Charles -- McCarthy, Jenny -- Michel, Kristin -- Mitchell, Sara N -- Moore, Wendy -- Murphy, Katherine A -- Naumenko, Anastasia N -- Nolan, Tony -- Novoa, Eva M -- O'Loughlin, Samantha -- Oringanje, Chioma -- Oshaghi, Mohammad A -- Pakpour, Nazzy -- Papathanos, Philippos A -- Peery, Ashley N -- Povelones, Michael -- Prakash, Anil -- Price, David P -- Rajaraman, Ashok -- Reimer, Lisa J -- Rinker, David C -- Rokas, Antonis -- Russell, Tanya L -- Sagnon, N'Fale -- Sharakhova, Maria V -- Shea, Terrance -- Simao, Felipe A -- Simard, Frederic -- Slotman, Michel A -- Somboon, Pradya -- Stegniy, Vladimir -- Struchiner, Claudio J -- Thomas, Gregg W C -- Tojo, Marta -- Topalis, Pantelis -- Tubio, Jose M C -- Unger, Maria F -- Vontas, John -- Walton, Catherine -- Wilding, Craig S -- Willis, Judith H -- Wu, Yi-Chieh -- Yan, Guiyun -- Zdobnov, Evgeny M -- Zhou, Xiaofan -- Catteruccia, Flaminia -- Christophides, George K -- Collins, Frank H -- Cornman, Robert S -- Crisanti, Andrea -- Donnelly, Martin J -- Emrich, Scott J -- Fontaine, Michael C -- Gelbart, William -- Hahn, Matthew W -- Hansen, Immo A -- Howell, Paul I -- Kafatos, Fotis C -- Kellis, Manolis -- Lawson, Daniel -- Louis, Christos -- Luckhart, Shirley -- Muskavitch, Marc A T -- Ribeiro, Jose M -- Riehle, Michael A -- Sharakhov, Igor V -- Tu, Zhijian -- Zwiebel, Laurence J -- Besansky, Nora J -- 092654/Wellcome Trust/United Kingdom -- R01 AI050243/AI/NIAID NIH HHS/ -- R01 AI063508/AI/NIAID NIH HHS/ -- R01 AI073745/AI/NIAID NIH HHS/ -- R01 AI076584/AI/NIAID NIH HHS/ -- R01 AI080799/AI/NIAID NIH HHS/ -- R01 AI104956/AI/NIAID NIH HHS/ -- R21 AI101459/AI/NIAID NIH HHS/ -- R56 AI107263/AI/NIAID NIH HHS/ -- SC1 AI109055/AI/NIAID NIH HHS/ -- U19 AI089686/AI/NIAID NIH HHS/ -- U19 AI110818/AI/NIAID NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Jan 2;347(6217):1258522. doi: 10.1126/science.1258522. Epub 2014 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. neafsey@broadinstitute.org nbesansk@nd.edu. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran. ; George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu. ; Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy. ; Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA. ; Tomsk State University, 36 Lenina Avenue, Tomsk, Russia. ; Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA. ; Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. ; Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia. ; Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. ; Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada. ; Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA. ; Institut de Recherche pour le Developpement, Unites Mixtes de Recherche Maladies Infectieuses et Vecteurs Ecologie, Genetique, Evolution et Controle, 911, Avenue Agropolis, BP 64501 Montpellier, France. ; Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA. ; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. ; Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA. ; Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. ; Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Universita degli Studi di Perugia, Perugia, Italy. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK. ; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus. ; Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa. ; National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. ; Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. ; Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA. ; Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA. ; Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India. ; Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Entomology, Texas A&M University, College Station, TX 77807, USA. ; Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand. ; Fundacao Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil. ; School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruna, Spain. ; Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK. ; School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK. ; Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA. ; Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA. ; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands. ; Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA. ; Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA. ; Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. neafsey@broadinstitute.org nbesansk@nd.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25554792" target="_blank"〉PubMed〈/a〉