gene may play a role in memory - university place … · before the new study, ... said steven...
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Blackline Master 2.1 News Articles [Learning Experience 1]
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Life would be difficult without memories. Andmemories might be difficult without a gene calledNPAS2, Dallas scientists say.
Local researchers have found that without thisgene, mice have trouble learning how to know whensomething scary is about to happen. That’simportant for mice to survive out in the wilderness,or even under the kitchen counter.
And for scientists, the gene’s connection tomemory is an opportunity to study how the braintakes in information and stores it for future use.
“It’s a tantalizing beginning,” said Eric Kandel,a neuroscientist from Columbia University in NewYork. “It whets one’s appetite for more.”
Researchers from the University of TexasSouthwestern Medical Center at Dallas reported thediscovery in the latest issue of the journal Science.
They noted that the gene may also beconnected to the body’s internal clock that keepstrack of day and night.
“There might be rhythmicity in the brain thatmight be important for optimal . . . functioning,said Dr. Joseph Garcia of UT Southwestern.
Before the new study, scientists already knewthat the NPAS2 gene was active only in the brain,where it orchestrates production of a special proteinmolecule. That protein’s job, scientists believe, is toact as a coach, spurring other genes into action.
But to really understand what NPAS2 does inthe brain, the researchers wanted to see how micewould fare when the gene was disabled. So using thetricks of genetic engineering, the UT Southwesternscientists made mice with malfunctioning NPAS2gene. Because the gene was known to work in thebrain, the researchers tested the mice’s mental abilities.
The mice, Dr. Garcia said, went through abattery of tests and did well on all of them, with oneexception. The test required mice to learn that astaticlike noise signaled an impending mild electricalshock to their feet. Mice without the gene had moretrouble on the test. So it seems, Dr. Garcia said, thatthe mice need that gene to remember certainemotional events.
Other scientists said it was hard to know whatto make of the findings.
Dr. Kandel noted that while the mice did worseon one test, they didn’t fail it outright.
“That is not a whopping change,” he said.More research is needed to understand exactly
how the gene helps the brain work.“We don’t have a sense of how it fits into other
molecules that might be important in memory,” Dr. Kandel said.
One way the gene may fit in with other brainmolecules is through a connection with an internalbiological clock, said Steven McKnight, another UTSouthwestern scientist involved in the study.NPAS2 has all the telltale signs of fitting into thenetwork of proteins and genes that help organismskeep track of day and night.
These internal timekeepers, known ascircadian clocks, control body temperature, bloodpressure and other biological processes that changeon a 24-hour cycle. In recent years, scientists havefound many “cogs” and “gears” of these clocks in avariety of organisms.
The protein produced by the NPAS2 gene looksa lot like one of the clock proteins, Dr. McKnightsaid, and more studies are being done to find out howthe gene behaves during the day-night cycle.
Gene May Play a Role in Memoryby Sue Goetinck Ambrose, The Dallas Morning News, June 26, 2000
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For now, the scientists are speculating thatNPAS2 somehow changes nerve cells as day turns tonight and again when night yields to day. Withoutthe NPAS2 gene, that natural cycling may bedisrupted, he said. That may explain why the brainis generally sharper during the day than at night.
“If you don’t have that nice cyclic pattern, andare not getting appropriate rest, then the alert phasewill simply be less alert,” Dr. McKnight said.
Other scientists participating in the researchwere UT Southwestern’s Di Zhang, Sandi Jo Estill,Carolyn Michnoff, Jared Rutter, Martin Reick,Kristin Scott and Ramon Diaz-Arrastia.
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Centuries ago, Big Boys were tiny tots. So were othertasty tomatoes, from Beefsteaks to Celebrities.
Now scientists have found a gene that helpedtransform tomatoes from miniature morsels intoTexas-sized treasures.
The discovery of that gene could help traceback the domestication of wild plants and provideideas for domesticating new plants. Not only that,the tomato gene appears to be similar to a humancancer gene, so it could help researchers understandwhy tumors form. And the discovery should also aidresearchers seeking the genetic roots of common yetcomplicated human diseases like high blood pressure,diabetes and obesity.
“I would say they’ve set an example here for allof us that brings out hope,” said Jim Cheverud, ageneticist at Washington University in St. Louis.“Even though it’s fruit size in tomatoes, it’s the samekind of gene we’re looking for in complex diseases.”
The newly discovered gene has a long history,dating back to wild tomatoes growing in Central andSouth America. The gene helped make the tomatoesnow found on grocery shelves into giants that dwarftruly wild tomatoes.
“If you were out walking around, you probablywouldn’t even notice a wild tomato,” said StevenTanksley, the Cornell University scientist who ledthe tomato gene research. “The wild versions areabout the size of a blueberry.”
Over the years, people domesticated the wildtomatoes, choosing plants that made bigger andbigger fruit. Now the fruits are so large that plantscan’t support them without the help of stakes orcages. The gene responsible for that change isdescribed in the latest issue of the journal Science.
Fruit size is known in the genetics world as aquantitative trait, one that has a wide range withlots of sizes in between. In people, one of the most
obvious of these traits is height. Human heightvaries from under 5 feet to over 7 feet, and there arepeople at every increment in between.
But height is not the only quantitative trait inpeople. Heart disease strikes some people early inlife, others later, and many in between. Bloodpressure, which is partly due to genetics, also has acontinuous range.
Research has shown that the genes behindthese types of traits are plentiful. That’s in sharpcontrast with genetic diseases like cystic fibrosis,where a single gene dictates whether a person hasthe disease. Genes like the one that causes cysticfibrosis are relatively easy to find, said John Doebley,a biologist at the University of Wisconsin-Madison.
“People have cracked that nut,” Dr. Doebleysaid. “But almost all of those diseases affect a smallminority of the population.”
The genes that contribute to conditions likeheart disease are harder to track down, because eachgene on its own has such a small effect.
“There’s where most of the problem is, andthere’s where our knowledge is the weakest,” Dr. Doebley said.
Studies like Dr. Tanksley’s offer hope that thosegenes can actually be found, giving scientists betterammunition in the fight against disease, Dr. Doebleysaid.
Another bonus from the tomato research wasfiguring out exactly how the gene changed to makesmall tomatoes get big. The gene, it turns out, guidesthe production of a protein that acts as a brake oncells. The more the gene works, the less often cellsin the growing fruit divide. That makes for fewercells and smaller fruit.
Over the years, Dr. Tanksley found, the brakinggene changed subtly to work less and less. Indomestic tomatoes, the gene is quiet enough that
Fat-Tomato Gene Yields Disease-Fighting Insightby Sue Goetinck Ambrose, The Dallas Morning News, July 10, 2000
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fruit cells can divide many times more, resulting inbigger fruit.
Similar differences in gene work habits mayexplain why some people are more or less susceptibleto certain diseases.
In the new research, the tomato genehappened to be similar to a gene associated withhuman cancer. Just as the tomato gene governs celldivision in the growing fruit, the human genegoverns the uncontrollable growth of tumor cells.That’s an example of the similarity of all life onEarth, Dr. Tanksley said.
“It could mean that the basic cell . . .mechanisms are very ancient and predate plants andanimals,” he said.
Dr. Tanksley said he is now scrutinizing thegene in all sorts of tomato varieties, both wild anddomestic. So far, he’s found that the largercommercial varieties like Beefsteak and Roma havethe version of the gene that allows for lots of fruitcell division. He and his colleagues are also trackingdown other genes that affect fruit size.
The tomato research may eventually lead tonew ideas for food, Dr. Tanksley said. Rather thanrelying on the plants people have already tamed, itmight be possible to domesticate new species, usingfruit size genes as a guide.
“It’s possible,” he said, “that we’ll have arenewal of domestication.”
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Earwax production is controlled by a gene linked toa very rare movement disorder, UC Irvine andJapanese researchers have found.
The findings, published in the June 8 issue ofLancet, demonstrates how rare disorders can uncovergenetic relationships within the body and may helpresearchers prevent cancer and excessive body odor.
Dr. Hiroaki Tomita, a postdoctoral fellow atUCI’s department of psychiatry, and his colleagues inJapan found from studying the gene for a rare geneticdisorder called paroxysmal kinesigenic choreo-athetosis (PKC) that the gene for producing earwaxwas in the same area as the gene for PKC. Earwaxcomes in two types—the “wet” variety seen mostoften in Caucasians and African-Americans, and the“dry” variety common among Asians and NativeAmericans.
“A woman in our PKC study said that herfamily members who had the disease also had the‘wet’ form of earwax, which is less common inJapan,” Tomita said. “We already knew where thegene for PKC was located, and we found the likelygenes for producing earwax in the same chromosomeregion responsible for producing PKC.”
The researchers, working in Japan, studied 92members of eight families who had at least onemember with PKC and found the gene for earwax onthe 16th chromosome, exactly where the gene forPKC is located. The same team discovered thelocation of the PKC gene in 1999.
While the two genes do not appear to regulateeach other, a gene for PKC happens to be locatedvery closely to the gene for earwax. It is not knownhow the mutations came to lie closely to each otheron the 16th chromosome.
The glands that secrete earwax are calledceruminal glands, which are part of a family oforgans called apocrine glands. Apocrine glands arefound in the armpits and breast. Previous researchhas suggested a relation between wet earwax andhigher rates of breast cancer, which could beconnected by the gene that produces earwax andcontrols apocrine gland function. Apocrine glandsalso produce sweat in the armpit and contribute tobody odor.
“There is not much information about how theapocrine glands are regulated and how they operate,”Tomita said. “We’ve located the position of this geneon the 16th chromosome, but we now need todetermine its exact sequence and starting and endingpoints. If we can pinpoint this, it might give us abetter understanding of how earwax, sweat andapocrine secretions in the breast are controlled.Once pinpointed, characterizing a responsible genefor earwax may contribute to the understanding ofapocrine gland development, body odor and breastcancer.”
Tomita, a postdoctoral fellow at UCI for thepast two years, continues to work with his Japanesecolleagues on finding more information about thegene responsible for PKC, as well as for earwax andother apocrine gland functions.
Tomita came to UCI from the NagasakiUniversity School of Medicine. His colleaguesinclude Dr. Koki Yamada, Dr. Mohsen Ghadami,Takako Ogura, Yoko Yanai, Dr. Yatsumi Nakatomiand Dr. Norio Niihawa of Nagasaki University, Dr. Miyuki Sadamatsu and Dr. Nobumasa Kato ofthe University of Tokyo and Dr. Akira Matsui ofShiga University of Medical Science.
Gene That Produces Earwax Located:Accidental Discovery from Rare DisorderStudy May Help Prevent Breast Cancer,Body OdorUniversity of California, Irvine, June 13, 2002
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Inheriting a variation in a single gene can determinewhether a person will be a wimp or a stoic when itcomes to handling pain.
University of Michigan neuroscientists puthealthy young adults inside a brain scanner, madethem hurt—just temporarily—and proved thatcarriers of the “stoic” gene version really can toleratemore pain.
The discovery emphasizes the need tocustomize pain treatment and might even allowdoctors to soon try predicting which patients willrespond to a certain kind of medication.
People’s perceptions of pain are tremendouslyvariable. A substantial blow to one person may seemtrivial to another; likewise, pain medication thathelps one patient may do nothing for the next.
The new research shows how much peoplesuffer is due partly to a gene that helps regulate howmany natural painkillers, called endorphins, thebody produces.
The gene produces an enzyme called COMTthat metabolizes the neurochemical dopamine,which acts as a signal messenger between brain cells.
Everyone has two copies of this gene, oneinherited from each parent—but they can inheritforms that differ by one amino acid. The COMTgene that contains the amino acid methionine, ormet, is less active than if it contained the amino acidvaline, or val.
Dr. Jon-Kar Zubieta injected the jaw muscles of29 healthy young adults with enough salt water tomake them really ache, simulating a painfulcondition called temporomandibular joint syndrome,or TMJ. Using a PET scanner, Zubieta measured howtheir brain cells reacted while the volunteer victimsrated, every 15 seconds, how much they hurt duringthe 20-minute pain cycle.
People who had two copies of the val-COMTgene were stoics. They withstood significantlygreater saline doses than other volunteers whilerating the resulting pain as less bothersome, Zubietareports in Friday’s edition of the journal Science.
The PET scans verified that response:Painkilling endorphins were much more active inthese people’s brains.
In contrast, people with two copies of the met-COMT gene suffered the most pain from thesmallest saline injections—and had far less naturalpainkiller action.
People who inherited both a met and val genecopy tolerated pain at levels between the twoextremes.
A quarter of the U.S. population carries the“stoic” gene variation while another quarter has thegene variant that makes them supersensitive to pain,Zubieta estimates.
Why would a gene that regulates dopaminealso affect painkilling endorphins? Too muchdopamine in the brain reduces endorphin content,Zubieta explained. People with the double-val genemake a very potent COMT enzyme that clears outdopamine rapidly, triggering more endorphinproduction, while people with the double-met genehave the opposite reaction.
It’s an important discovery, said neurobiologistAdron Harris of the University of Texas at Austin,who has long studied why men and women toleratepain differently.
One reason: When standard pain medicationsfail, antidepressants that target dopamine sometimesrelieve severe, chronic pain. But there has been noway to predict who might benefit. The new researchsuggests a simple gene test might soon solve thatproblem, Harris said.
Gene Helps Determine How Much You HurtLauran Neergaard, The Associated Press, February 21, 2003
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“Certainly the need to individualize paintreatment . . . is great, and is now done mostly bytrial and error,” he said. “This (research) is reallygetting to molecular medicine or genetic medicine,where you’re using the genotype to predict whichdrug would be best for the person.”
Pain response clearly depends on more than asingle gene, Zubieta cautioned. For example, in
another study, he found women tolerate pain betterduring the time of the menstrual cycle whenestrogen levels are highest.
And Zubieta’s ultimate goal isn’t just to predictpain tolerance, but to understand what combinationof genetics and other factors make certain peoplemore vulnerable to painful diseases, like the joint-afflicting fibromyalgia that tends to strike women.
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Treating obesity in humans might be possible bytargeting a gene similar to one that causes growth offat tissue in mice, researchers at the University ofMedicine and Dentistry of New Jersey said Monday.
Mice that do not have or only partially expressa gene called HMGI-C do not gain weight, even ifthey are fed a high-fat diet, according to a studyheaded by Kiran Chada, a biochemist and director ofthe Genomics Center at UMDNJ-Robert WoodJohnson Medical School.
HMGI-C, a gene crucial to cell growth anddifferentiation during development of an embryo,usually is not seen in adult tissues, Chada said. Thegene, however, was found in the fat tissue of micethat became obese on a high-fat diet, and not in leanmice, he said.
Since the HMGI-C gene is 98 percentidentical in mice and humans, people who have thegene and eat fatty foods can expect to become obese,because their undifferentiated cells will grow into fattissue, Chada said.
Now that the gene is known, a drug treatmentcan be developed that inhibits a protein in the genethat triggers other genes that make fat, he said.
The results of Chada’s study were publishedMonday in the journal Nature Genetics. Theresearch was funded by the National Institutes ofHealth and the New Jersey Commission on Scienceand Technology.
“This gene is one of the most exciting potentialtargets [of obesity] that we have,” Chada said in aninterview. One thing that makes the gene soimportant is that it affects a very specific area, headded.
“When we see mice with a high-fat dietsuddenly put on weight, this gene is expressed onlyin fat tissue. All the other organs and tissues of micedo not express the gene,” he said.
This means that a drug can be developed totreat just the gene in fat cells, with limited sideeffects on other tissues, Chada said.
What also excited Chada was that not onlymice without the gene did not gain weight. Micewith partial expression—having one copy ratherthan two copies—of the HMGI-C gene also stayedslim on a fatty diet.
So a drug treatment for obesity would onlyhave to reduce the gene’s activity by 50 percent—instead of the usual 100 percent—to effectively stopproduction of fat cells, he said.
Three New Jersey pharmaceutical companieshave expressed interest in developing an obesity drugbased on Chada’s work, which is patented by RutgersUniversity, he said. A drug could be developedwithin 11⁄2 years, with another five to 10 years forclinical trials, Chada said.
The drug, which would inhibit the gene, wouldbe different from diet drugs that work on the nervoussystem, often with side effects, to make people eatless and modify their behavior, he said. It also doesnot affect how fats are absorbed by the body. Aperson using this drug would simply eliminate extrafat instead of storing it, he said.
“Our approach is different. We’re saying, ‘Let’sforget about changing people’s behavior by messingwith the central nervous system. Let’s attack thetissue where fat is made. Eat as much as you like,then, because you’re taking the drug that will notallow you to make fat cells,” Chada said.
“Unfortunately, even with the best geneinhibitor, there’s no guarantee it’ll work. There couldbe 101 other factors” causing obesity, he said.
Behavioral scientists acknowledge that genesplay a big role in obesity, but other factors alsocontribute to the condition, said Terence Wilson, apsychologist at Rutgers in Piscataway.
Mouse Gene May Help Fight ObesityReproduced with permission of The Record (Bergen County, NJ). Bob Groves, March 28, 2000.
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“There is very good evidence of geneticpredisposition to obesity. But whatever those genesare, they have to be expressed in a particularenvironment,” said Wilson, director of the EatingDisorders Clinic at Rutgers.
The affluence, sedentary lifestyle, andubiquitous junk food of American culture create a“toxic environment responsible for alarming rates ofobesity in this country,” he said. Psychologicalfactors are also involved. Some people rely on foodto deal with emotions, he said.
People would like a “quick fix” for obesity withgene therapy, but the disorder involves a “complex
set of events. Even if we identify the genes, we’restill not going to be able to disregard environmental,cultural, and individual factors,” Wilson said.
Treating and preventing the life-threateningeffects of obesity, such as diabetes and heart disease,are as crucial as finding the cause of the disorder, hesaid.
“I and any other behavioral scientist wouldwelcome a breakthrough in biological research” ofobesity, Wilson said. “There have been other genesidentified for obesity. It’s a thriving area of research,and important discoveries are being made.”
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Blackline Master 2.2 Pedigree: Blue People of Kentucky [Learning Experience 3]
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1I
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Insights in Biology Blackline Master 2.2page 2 of 2
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Pedigree Pedigree Position Name Position Name
I-1 Benjamin Fugate (bd ca. 1750) II-1 Martin Fugate (bd ca. 1783)
I-2 Hannah ?? (bd 1783) II-2 Mary ?? (Ritchie?/Smith?) bd 1780)
I-3 William Smith II-3 Richard Smith (bd 1771)
I-4 ?? Betty Ritchie (bd ca. 1750)/Eunice ?? II-4 Alicia Combs (bd 1775/80)
I-5 Nicholas Combs (bd before 1764) II-5 Levi Fugate (bd 1795)
I-6 Nancy Gribsby (bd ca. 1750) II-6 Haney Noble (bd 1790)
I-7 William Fugate (bd 1760/65)
I-8 Jane ??
III-1 Hannah Fugate (bd 1811/12 IV-1 Martin Ritchie (bd 1829)
III-2 James Ritchie (bd ca. 1806) IV-2 Rebecca Williams (bd )
III-3 Andrew Fugate (bd 1808) IV-3 William Fugate (bd 1838)
III-4 ??? IV-4 Juda Campbell (bd 1837)
III-5 Zachariah “Ball Creek Zach” Fugate IV-5 John “Blue” Fugate (bd 1832)(bd 1817)
III-6 Mary Smith (bd 1814) IV-6 Zachariah Fugate (bd 1845)
III-7 Martha Smith (bd 1798) IV-7 Polly Campbell (bd 1844)
III-8 John Campbell (bd 1796) IV-8 Lettie M. Smith (bd 1834)
III-9 Sara “Sally” Fugate (bd ) IV-9 Elizabeth Campbell (bd 1827)
III-10 Lorenzo Dow Smith (bd 1816) IV-10 Henry Hudson (bd 1827)
III-11 Elizabeth Smith (bd 1816)
III-12 Martin Fugate (bd 1856)
V-1 James “Big Jim” Ritchie (bd 1857) VI-1 Gabriel Fugate (bd 1890)
V-2 Hannah Fugate (bd 1856) VI-2 Zachariah “Big Man” Fugate (bd1884)
V-3 Eleanor Fugate (bd 1860) VI-3 Elizabeth “Aunt Bessie” Fugate (bd 1876)
V-4 Lorenzo “Blue Anze” Fugate (bd 1854) VII-1 Mahala Ritchie (bd 1854)
V-5 Polly “Poss” Ritchie (bd 1886) VII-2 Levi Fugate (bd 1844)
V-6 Manuel “Man” Fugate (bd 1879)
V-7 Nancy Hudson (bd 1849/50) VIII-6 Luna Fugate (bd 1889)
V-8 Charles Fugate (bd 1846) VIII-7 John C. Stacey
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Blackline Master 2.3 DNA Model Pieces [Learning Experience 4]
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S
S
adenine
adenineAttach sugar moleculeto lower corner.
Attach sugar moleculeto lower corner.
hydrogen bonds
hydrogen bonds
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Insights in Biology Blackline Master 2.3page 2 of 5
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r thymine
thymineS
S
hydrogen bonds
hydrogen bonds
Attach sugar moleculeto lower corner.
Attach sugar moleculeto lower corner.
S
S
guanine
guanineAttach sugar moleculeto lower corner.
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hydrogen bonds
hydrogen bonds
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Insights in Biology Blackline Master 2.3page 3 of 5
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r cytosine
cytosineS
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hydrogen bonds
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Attach sugar moleculeto lower corner.
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Insights in Biology Blackline Master 2.3page 4 of 5
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to base
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to base
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Insights in Biology Blackline Master 2.3page 5 of 5
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phosphate
phosphate
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phosphate
phosphate
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phosphate
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phosphate
phosphate
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phosphate
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Blackline Master 2.4 Alternative Codon Table [Learning Experience 5]
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G
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CU
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GACU
GACU
GACU
UUUUUCUUAUUG
CUUCUCCUACUG
AUUAUCAUAAUG
GUUGUCGUAGUG
UCUUCCUCAUCG
CCUCCCCCACCG
ACUACCACAACG
GCUGCCGCAGCG
UAUUACUAAUAG
CAUCACCAACAG
AAUAACAAAAAG
GAUGACGAAGAG
UGUUGCUGAUGG
CGUCGCCGACGG
AGUAGCAGAAGG
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Blackline Master 2.5 The mRNA Sequences of Normal and Sickling Hemoglobin [Learning Experience 6]These are segments of the mRNA codons for a normal, β-globin gene and for a sickle-cell, β-globingene. Use the genetic code table (Table 2.3) in your Student Edition to find the corresponding aminoacid sequence for each gene.
NORMAL OR HEMOGLOBIN A (mRNA):
AUGGUGCACCUGACUCCUGAGGAGAAGUCU...
SICKLING OR HEMOGLOBIN S (mRNA):
AUGGUGCACCUGACUCCUGUGGAGAAGUCU...
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Blackline Master 2.6 Human Karyotype [Learning Experience 7]
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Blackline Master 2.7 Chromosome Smears 1–9 [Learning Experience 7]
Chromosome Smear 1
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Chromosome Smear 2
Insights in Biology Blackline Master 2.7page 2 of 9
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Chromosome Smear 3
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Chromosome Smear 4
Insights in Biology Blackline Master 2.7page 4 of 9
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Chromosome Smear 5
Insights in Biology Blackline Master 2.7page 5 of 9
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Chromosome Smear 6
Insights in Biology Blackline Master 2.7page 6 of 9
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Chromosome Smear 7
Insights in Biology Blackline Master 2.7page 7 of 9
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Chromosome Smear 8
Insights in Biology Blackline Master 2.7page 8 of 9
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Chromosome Smear 9
Insights in Biology Blackline Master 2.7page 9 of 9
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Blackline Master 2.8 Karyotype Placement Grid [Learning Experience 7] Chromosome Smear #
Name(s) Date
1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18
19 20 21 22 X Y
Insights in Biology Blackline Master 2.8page 1 of 1
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Blackline Master 2.9 Information on Chromosome Disorders [Learning Experience 7]
A. Cri-du-chat
This disorder is the result of a deletion in the upper arm of one chromosome number 5. Babies have acry that sounds like that of a cat in distress (hence the name, which means “cry of the cat”). This is theresult of an improperly developed larynx. Cri-du-chat babies are severely mentally retarded and have asmall cranium. The incidence of this syndrome is 1 in 100,000 live births.
Karyotype: 46 XX or 46 XY with a deletion in chromosome number 5
B. Down’s syndrome
This syndrome is the result of an extra chromosome number 21. The disorder results in individuals whoare short in stature and have broad hands, stubby fingers and toes, a wide rounded face, a largeprotruding tongue that makes speech difficult, and mental retardation to varying degrees. Theseindividuals are prone to respiratory infections, heart defects, and leukemia. The risk of having a babywith Down’s syndrome increases with the age of the mother. It ranges from 1 in every 1,500 live birthsfor mothers in their early 20s, to 1 in every 70 for mothers over 35, to 1 in every 25 for mothers 45 or older.
Karyotype: 47 XY or 47 XX with three of chromosome number 21
C. Philadelphia translocation
This disorder is the result of part of one chromosome number 9 being inserted or translocated intochromosome number 22. Individuals with this disorder suffer from chronic myelogenous leukemia. Thisis believed to be the result of two genes normally not on the same chromosome being expressed on thesame chromosome and producing an unusual protein that causes the disease.
Karyotype: 46 XX or 46 XY with a chromosome number 9 translocation to chromosome number 22
D. Turner’s syndrome
This condition is the result of the lack of a second sex chromosome. The resulting individual has one Xand no second X or Y chromosome. These girls tend to be short and have a stocky build, but theyappear to be normal before puberty. At puberty, no secondary sexual characteristics develop. Theyproduce no eggs, and menstruation and breast development do not occur. The frequency is 1 in 2,500live female births.
Karyotype: 45 X with one X chromosome
E. Klinefelter’s syndrome
This disorder is the result of having two X chromosomes and one Y chromosome. Individuals with thissyndrome appear to be normal males, but they have characteristics that include tall stature, smalltesticles, and sterility. This condition occurs once in every 1,000 live male births.
Karyotype: 47 XXY
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Adapted from “Karyotype Succuss Rate Increases with Stylized Chromosomes,” by Caroline Purser, The American BiologyTeacher, September 1987
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F. Jacobs
This condition is the result of an extra Y chromosome. Men with the condition are tall and have lowmental ability. This condition occurs at a rate of 1 in every 1,000 live male births.
Karyotype: 47 XYY
G. Triple X
Individuals with this condition have three X chromosomes. However, no specific physical or mentalabnormalities are associated with an extra X chromosome. Women who have this condition are normaland fertile.
Karyotype: 47 XXX
H. Edwards syndrome
This syndrome is the result of having an extra chromosome number 18. Symptoms of this conditioninclude severe retardation and physical malformations such as an elongated skull, a very narrow pelvis,low-set ears, and very small mouth and teeth. Nearly all babies born with this condition die in earlyinfancy. The frequency of occurrence is 1 in every 5,000 live births.
Karyotype: 47 XX or 47 XY with three of chromosome number 18
I. Patau syndrome
This condition is the result of an extra chromosome number 13. This results in severely abnormalcerebral functions and almost always leads to death in early infancy. A baby with this syndrome has avery pronounced cleft lip and palate, a small cranium, and nonfunctional eyes, as well as heart defectsand mental retardation. The frequency of occurrence is 1 in every 15,000 live births.
Karyotype: 47 XX or 47 XY with three of chromosome number 13
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Blackline Master 2.10 Concept Map Terms [Learning Experience 8]
Include the following words in your concept map. Remember, there should be verbs (action words) oneach connecting line.
meiosis gametes
chromatid(s) haploid
chromosome diploid
egg oogenesis
sperm spermatogenesis
testis variation
ovary independent assortment
✂
Concept Map TermsInclude the following words in your concept map. Remember, there should be verbs (action words) oneach connecting line.
meiosis gametes
chromatid(s) haploid
chromosome diploid
egg oogenesis
sperm spermatogenesis
testis variation
ovary independent assortment
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Blackline Master 2.11 Crossover [Learning Experience 10]
Insights in Biology Blackline Master 2.11page 1 of 1
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B
B B
B
B B
B
B
R
R
RR
R R
R R
R
b
b b
b
b b
b
b
r
r
rr
r r
r r
r
sister chromatids segregating to form gametes
crossover, resulting in homologouschromosomes with a new arrangement
of alleles
crossover occurring between chromatidsin homologous chromosome
chromosome replication, resulting in twosister chromatids in each chromosome
homologous chromosomes
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Blackline Master 2.12 Queen Victoria’s Descendants [Learning Experience 11, For Further Study]
Insights in Biology Blackline Master 2.12page 1 of 11
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Eite
l18
83-1
942
Adalb
ert
1884
-194
8Au
gustu
s18
87-1
949
Crow
n Pr
ince
Fred
erick
Willi
am18
82-1
951
Cecil
ie18
86-1
954
Hube
rtus
1909
-50
Fred
erick
1911
-66
Alex
andr
ine19
15-8
0W
illiam
1906
-40
Doro
thea
1907
-72
Felic
ita19
34-?
Chris
ta19
36-?
Louis
1907
-?M
agda
lene
1920
-?
Anas
tasia
1944
-?
Mar
ie-Ch
ristin
e19
47-?
5
Cecil
ie19
17-7
5
Adelh
eid18
91-1
971
Willa
m19
19-?
Kirb
yun
know
n
Bere
ngar
1948
-?M
arina
1948
-?
Victo
ria19
17-?
Mar
ieun
know
n
Adalb
ert-
Adelh
art
1948
-?
Mar
ie-Lo
uise
1945
-?
1
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Empe
ror W
illiam
IIof
Ger
man
y18
59-1
941
(reno
unce
d th
e th
rone
191
8)
Char
lotte
1860
-191
9He
nry
1862
-192
9
Augu
sta o
f Sc
hlesw
ig-Ho
lstein
1858
-192
1
Augu
stus
1887
-194
9Os
car
1888
-195
8
Victo
ria
Louis
e of
Prus
sia18
92-1
980
Adelh
eid18
91-1
971
Mar
ieun
know
n
Adalb
ert-
Adelh
art
1948
-?
1
Ina
Mar
ia18
88-1
973
Willa
m19
22-?
Burc
hard
1917
-?In
a M
arie
1917
-?Ch
arles
unkn
own
Char
les19
44-?
Victo
ria19
39-?
Erne
st19
40-?
Mar
ie18
98-1
983
Joac
him18
90-1
920 Ch
arles
1916
-?
Fran
cisW
illiam
1943
-?
Fran
cisJo
seph
1943
Fran
cisFr
eder
ick19
44-?
Erne
st18
87-1
953
Erne
st19
14-8
7Or
trud
1925
-198
0
Ludw
ig19
55-8
9M
arie
1952
-?Er
nest
1954
-?
Osca
r19
15-3
9
Chan
tal
unkn
own
Chris
tian
1985
-?Er
nest
1983
-?1
Olga
1958
-?Al
exan
dra
1959
-?He
inrich
1961
-?
Geor
ge19
15-?
King
Geo
rge
IIof
Gre
ece
1892
-197
2(d
epos
ed 1
923-
35)
Unkn
own
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Quee
nEl
izabe
th II
1926
-?
Albe
rt18
19-6
1
Quee
n Vi
ctoria
of E
nglan
d18
19-1
901
Victo
ria18
40-1
901
Empe
ror
Fred
erick
III
of G
erm
any
1831
-88
Sigis
mund
1864
-66
Henr
y18
62-1
929
Victo
ria18
66-1
929
Wald
emar
1868
-79
Mar
gare
te o
fHe
sse
1870
-193
2
Albe
rt18
64-9
2
King
Geor
ge V
Iof
Eng
land
1895
-195
2
King
Edwa
rd V
IIIof
Eng
land
1892
-197
2(a
bdica
ted)
Princ
eCh
arles
1948
-?
Princ
ess
Dian
a19
61-?
Princ
eW
illiam
1982
-?
Princ
eHe
nry
1984
-?
Princ
ess
Anne
1950
-?
Princ
eAn
drew
1960
-?
Mar
k19
48-?
Sara
hFe
rgus
on19
59-?
Beat
rice
1988
-?Eu
genie
1990
-?Pe
ter
1977
-?Za
ra19
81-?
Mon
ika19
29-?
Alex
andr
a19
59-?
Heinr
ich19
61-?
Irene
1942
-?So
phia
1938
-?Fred
erica
1917
-?
King
Cons
tant
ine II
of G
reec
e19
40-?
(dep
osed
197
3)
Chris
tian
1919
-81
Guelp
h19
23-?
King
Con
stant
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of G
reec
e18
68-1
923
(dep
osed
191
7-20
,ab
dicat
ed 1
922)
King
Geo
rge
IIof
Gre
ece
1892
-197
2(d
epos
ed 1
923-
35)
King
Alex
ande
r Iof
Gre
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1893
-192
0(re
ined
1917
-20)
Irene
1904
-?Ay
mon
?-19
48
Amad
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43-?
Rich
ard
unkn
own
Rich
ard
1948
-?
Cath
erine
1904
-?He
len18
96-1
982
King
Pau
l Iof
Gre
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1901
-196
4
Soph
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Prus
sia18
70-1
932
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Quee
nEl
izabe
th II
1926
-?
Albe
rt18
19-6
1
Quee
n Vi
ctoria
of E
nglan
d18
19-1
901
King
Edw
ard
VII
1841
-191
0
Alex
andr
a of
De
nmar
k18
44-1
925
Mar
gare
te o
fHe
sse
1870
-193
2
King
Ge
orge
Vof
Eng
land
1883
-194
2
Louis
e18
67-1
931
Albe
rt18
64-9
2M
ary o
f Tec
k18
67-1
953
King
Geor
ge V
Iof
Eng
land
1895
-195
2
Henr
y19
00-7
4M
ary
1897
-196
5M
aud
1893
-194
5Al
exan
dra
1891
-195
9Ge
orge
1902
-42
John
1905
-19
King
Edwa
rd V
IIIof
Eng
land
1892
-197
2(a
bdica
ted)
Eliza
beth
(the
Quee
n M
othe
r)19
00-? Pr
inces
sM
arga
ret
1930
-?
Anth
ony
1930
-?
Princ
eAn
drew
1960
-?
Princ
eEd
ward
1964
-?
Mar
k19
48-?
Sara
hFe
rgus
on19
59-?
Beat
rice
1988
-?Eu
genie
1990
-?Za
ra19
81-?
David
1961
-?Sa
rah
1964
-?
Ragn
hild
1930
-?
Haak
onun
know
nIn
gebo
rgun
know
n
Alex
ande
r18
49-1
912
Arth
ur18
83-1
938
Char
les18
93-?
Alist
air19
14-4
3
David
1961
-?Al
exan
dra
1959
-?
Jam
es19
29-?
Caro
line
unkn
own
Visto
ria18
68-1
935
Mau
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68-1
935
Mar
tha
1901
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Alice
1843
-187
8Lo
uis IV
of H
esse
1837
-92
Eliza
beth
1864
-191
8 Geor
ge18
92-1
938
Louis
1900
-79
Victo
ria18
63-1
950
Louis
1854
-192
1
Andr
ew o
fGr
eece
1882
-194
4
Cecil
ie19
11-3
7
John
1871
Louis
1931
-7
Alice
of
Batte
nber
g18
85-1
965
Mar
garit
a19
05-8
1Th
eodo
ra19
06-6
0Ge
orge
1906
-37
Alex
ande
r19
33-7
Joan
na19
36-9
Serg
e18
57-1
905
King
Har
ald V
of N
orwa
y19
37-?
Ragn
hild
1930
-?
Ragn
hild
unkn
own
Haak
onun
know
nIn
gebo
rgun
know
nCh
ristin
a19
33-?
Doro
thea
1934
-?Ch
arles
1937
-?
Louis
e18
89-1
965
Char
les18
93-?
David
1961
-?
Caro
line
unkn
own
Mau
d18
68-1
935
Mar
tha
1901
-54
King
Cha
rles
Haak
on o
f No
rway
1872
-195
7
King
Olav
Vof
Nor
way
1903
-91
Erlin
gun
know
nAs
trid
1932
-?
Haak
on19
73-?
Mat
tha
1971
-?
Sonja
1937
-?
Wald
emar
1889
-194
5
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Alfre
d, D
uke
ofEd
inbur
gh18
44-1
900
Erm
est
1868
-193
7
King
Fer
dinan
d I
of R
oman
ia18
67-1
927
Mar
ie19
00-6
1 Tom
islav
1928
-?
Alice
1843
-187
8Lo
uis IV
of H
esse
1837
-92
Eliza
beth
1864
-191
8 Geor
ge18
92-1
938
Louis
1900
-79
Princ
e Ph
illip
1921
-?
Soph
ia19
14-?
Serg
e18
57-1
905
Fred
erick
1870
-3
Tsar
itsa
Alex
andr
a18
72-1
918
Mar
y18
74-8
Tsar
Nich
olas
1868
-191
8
Olga
1895
-191
8Ta
tiana
1897
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8M
arie
1899
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8An
asta
sia19
01-1
8
Alex
ei19
04-1
8
Mar
ie, Q
ueen
of R
oman
ia18
75-1
938
Alfre
d18
74-9
9
Eliza
beth
1894
-195
6
King
Mich
ael I
of R
oman
ia19
21-?
(dep
osed
194
7)
Joan
na18
93-1
953
King
Car
ol II
of R
oman
ia18
93-1
953
(dep
osed
194
0)
Son
date
sun
know
n
King
Pet
er II
of Y
ugos
lavia
1923
-70
(dep
osed
194
5)
Irene
1866
-195
3
Chris
tina
1933
-?
Chris
toph
er19
01-4
3(k
illed
in W
WII)
Doro
thea
1934
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ariss
a19
44-?
Char
les19
37-?
Raine
r19
39-?
Guelp
h19
47-8
1Fr
eder
icka
1954
-?Ge
orge
1949
-?
Wald
emar
1889
-194
5He
nry
1900
-4Si
gismu
nd18
96-?
Insights in Biology Blackline Master 2.12page 6 of 11
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Alfre
d, D
uke
ofEd
inbur
gh18
44-1
900
Mar
ie of
Ru
ssia
1853
-192
0
Nich
olas
1903
-78
King
Fer
dinan
d I
of R
oman
ia18
67-1
927
Victo
ria18
76-1
936
Kirill
1876
-193
8
Mar
ia19
07-5
1Ki
ra19
09-6
7Vl
adim
ir19
17-?
Princ
ess
Mar
gare
tha
1934
-?
Princ
ess
Birg
itta19
37-?
Princ
ess
Desir
ee19
38-?
Mar
ie19
00-6
1 Tom
islav
1928
-?An
drej
1929
-?
King
Alex
ande
r Iof
Yug
oslav
ia18
88-1
934
(ass
assin
ated
)
Mar
ie, Q
ueen
of R
oman
ia18
75-1
938 El
izabe
th18
94-1
956
King
Mich
ael I
of R
oman
ia19
21-?
(dep
osed
194
7)
King
Pet
er II
of Y
ugos
lavia
1923
-70
(dep
osed
194
5)
Ilean
a19
09-?
6
Mirc
ea19
13-6
Alex
andr
a18
78-1
942
4
Daug
hter
1879
Beat
rice
1884
-196
6
3El
izabe
th18
95-1
903
61
Chris
tian
1867
-190
0
7
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Mar
gare
tof
Swe
den
1882
-192
0
Princ
ess
Mar
gare
tha
1934
-?
King
Car
l XVI
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3507-BLM2.2-2.6.pdf 7/25/06 4:51 PM Page 32
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3507-BLM2.2-2.6.pdf 7/25/06 4:51 PM Page 33
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Insights in Biology Blackline Master 2.12page 10 of 11
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on D
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Insights in Biology Blackline Master 2.12page 11 of 11
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