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Landscape genomics

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35:. The latter addresses how landscape features influence the population structure and gene flow of organisms across time and space. The field of landscape genomics is distinct from landscape genetics in that it is not focused on the neutral genetic processes, but considers, in addition to neutral processes such as drift and gene flow, explicitly adaptive processes, i.e. the role of 58:
is the study of the genome, otherwise known as the collection of all of the genes in one organism. Landscape genetics uses technology capable of monitoring 5-20 genetic markers at a time, whereas technology has advanced so that it is now capable of mapping an entire genome, including additional types
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based on how organisms respond to changing temperatures and climate. In one example, researchers studied several populations of the black alder tree, and through landscape genomics found that it is highly adaptive to temperature and latitude changes. This has meaningful implications, as it can help
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Landscape genomics makes use of several fields of study. Environmental association analysis is used to link adaptive processes and genetic markers to local environmental factors. This is often done by selecting one environmental factor, e.g. water salinity or altitude. Continuous data from this
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utilizes outlier tests to identify genetic variation, which rely on identifying high genetic variation in populations. However, more subtle forms of genetic variation can be detected in landscape genomics. Additionally, outlier tests do not aim to, nor do they facilitate the identification of
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of genetic markers. Landscape genomics analyzes adaptive markers, whereas landscape genetics only analyzes neutral markers. The field of genomics began to grow in the 1970s when new technology was discovered by A.M. Maxam and W. Gilbert, and continued to advance with the widely recognized
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De Kort, Hanne; Vandepitte, Katrien; Bruun, Hans Henrik; Closset-Kopp, Déborah; Honnay, Olivier; Mergeay, Joachim (October 2014). "Landscape genomics and a common garden trial reveal adaptive differentiation to temperature across Europe in the tree species Alnus glutinosa".
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researchers predict how the black alder will react to climate change in the future. Together with complementary research on the ecological role of the black alder, it is also possible to predict how the environment surrounding black alder populations will change.
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selection pressures from the local environment that caused genetic variation. Contrarily, landscape genomics aims to identify changes in the genome directly resulting from local environmental factors.
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Schwartz, Michael K.; McKelvey, Kevin S.; Cushman, Samuel A.; Luikart, Gordon (2010), Cushman, Samuel A.; Huettmann, Falk (eds.), "Landscape Genomics: A Brief Perspective",
63:. It was the application of the technology and strategies used in genomics to landscape genetics that created the field of landscape genomics. 243: 76:
data from an organism inhabiting the same time and place, and data analysis can then be conducted to detect potential correlations.
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is also necessary in order to identify the genetic markers that are to be studied in correlation with environmental factors.
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Landscape genomics is a relatively new field, made possible by recent technological advances in genetic mapping.
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of organisms in response to these factors such as climate and soil. Landscape genomics combines aspects of
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Li, Yong; Zhang, Xue-Xia; Mao, Run-Li; Yang, Jie; Miao, Cai-Yun; Li, Zhuo; Qiu, Ying-Xiong (Dec 2017).
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is one of many strategies used to identify relationships between environmental factors and the genetic
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Rellstab, Christian; Gugerli, Felix; Eckert, Andrew J.; Hancock, Angela M.; Holderegger, Rolf (2015).
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Landscape genomics has provided an opportunity to examine potential implications of
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Spatial Complexity, Informatics, and Wildlife Conservation
264:Proceedings of the National Academy of Sciences 8: 293: 275: 197: 187: 138: 258:Maxam, A. M.; Gilbert, W. (1977-02-01). 104: 7: 315: 313: 230:, Springer Japan, pp. 165–174, 221: 219: 217: 116: 114: 112: 110: 108: 14: 260:"A new method for sequencing DNA" 1: 72:factor is then aligned with 236:10.1007/978-4-431-87771-4_9 397: 86:Applications in research 189:10.3389/fpls.2017.02136 277:10.1073/pnas.74.2.560 74:genetic polymorphisms 371:Evolutionary ecology 61:Human Genome Project 381:Population genetics 43:Population genomics 29:population genetics 33:landscape genetics 17:Landscape genomics 376:Landscape ecology 335:10.1111/mec.12813 329:(19): 4709–4721. 323:Molecular Ecology 245:978-4-431-87770-7 140:10.1111/mec.13322 133:(17): 4348–4370. 127:Molecular Ecology 37:natural selection 25:landscape ecology 388: 355: 354: 317: 308: 307: 297: 279: 255: 249: 248: 223: 212: 211: 201: 191: 176:Front. Plant Sci 167: 161: 160: 142: 118: 396: 395: 391: 390: 389: 387: 386: 385: 361: 360: 359: 358: 319: 318: 311: 257: 256: 252: 246: 225: 224: 215: 169: 168: 164: 120: 119: 106: 101: 88: 80:Gene sequencing 69: 52: 12: 11: 5: 394: 392: 384: 383: 378: 373: 363: 362: 357: 356: 309: 270:(2): 560–564. 250: 244: 213: 162: 103: 102: 100: 97: 92:climate change 87: 84: 68: 65: 51: 48: 13: 10: 9: 6: 4: 3: 2: 393: 382: 379: 377: 374: 372: 369: 368: 366: 352: 348: 344: 340: 336: 332: 328: 324: 316: 314: 310: 305: 301: 296: 291: 287: 283: 278: 273: 269: 265: 261: 254: 251: 247: 241: 237: 233: 229: 222: 220: 218: 214: 209: 205: 200: 195: 190: 185: 181: 177: 173: 166: 163: 158: 154: 150: 146: 141: 136: 132: 128: 124: 117: 115: 113: 111: 109: 105: 98: 96: 93: 85: 83: 81: 77: 75: 66: 64: 62: 57: 49: 47: 44: 40: 38: 34: 30: 26: 22: 18: 326: 322: 267: 263: 253: 227: 179: 175: 165: 130: 126: 89: 78: 70: 53: 41: 16: 15: 365:Categories 99:References 21:adaptation 286:0027-8424 149:1365-294X 351:25062369 343:24860941 208:29312391 182:: 2136. 157:26184487 56:Genomics 199:5733015 67:Methods 50:History 349:  341:  304:265521 302:  295:392330 292:  284:  242:  206:  196:  155:  147:  347:S2CID 339:PMID 300:PMID 282:ISSN 240:ISBN 204:PMID 153:PMID 145:ISSN 31:and 331:doi 290:PMC 272:doi 232:doi 194:PMC 184:doi 135:doi 367:: 345:. 337:. 327:23 325:. 312:^ 298:. 288:. 280:. 268:74 266:. 262:. 238:, 216:^ 202:. 192:. 178:. 174:. 151:. 143:. 131:24 129:. 125:. 107:^ 39:. 27:, 353:. 333:: 306:. 274:: 234:: 210:. 186:: 180:8 159:. 137::

Index

adaptation
landscape ecology
population genetics
landscape genetics
natural selection
Population genomics
Genomics
Human Genome Project
genetic polymorphisms
Gene sequencing
climate change





"A practical guide to environmental association analysis in landscape genomics"
doi
10.1111/mec.13322
ISSN
1365-294X
PMID
26184487
"Ten Years of Landscape Genomics: Challenges and Opportunities"
doi
10.3389/fpls.2017.02136
PMC
5733015
PMID
29312391

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