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Enregistrement W7143690414 · doi:10.15083/0002004759

オセアニア地域集団の進化史 : ゲノムから見た混血と自然選択

2020· dissertation· en· W7143690414 sur OpenAlexfundno aff
Mariko Isshiki-Segawa

Notice bibliographique

RevueInstitutional Repositories DataBase (IRDB) · 2020
Typedissertation
Langueen
DomaineEngineering
ThématiqueMilitary Technology and Strategies
Établissements canadiensnon disponible
Organismes subventionnairesInstitute of GeneticsJapan Society for the Promotion of Science
Mots-clésPolynesiansMitochondrial DNAGenetic similarityNatural selectionGenetic genealogyAdaptation (eye)Ancient DNA

Résumé

récupéré en direct d'OpenAlex

The present Oceanian populations are considered to have derived from admixture of Papuan-and Asian-related ancestors.Papuan-related ancestors were the ancestors of modern Papuans and Aboriginal Australians, who colonized Near Oceania about 50,000 years ago, and Asian-related ancestors were Austronesian (AN)-speaking population, called Lapita, who migrated from Southeast Asia about 3,500 years ago.The major aim of this thesis is to elucidate the demographic history and adaptation of Oceanian populations.In Chapter 2, I analyzed mitochondrial DNA (mtDNA) and sex chromosomes of Oceanian populations.From the mtDNA analysis of three Oceanian populations living in the New Georgia Islands of the Solomon Islands, genetic similarity between AN-speaking Melanesians in the New Georgia Islands and Polynesians was revealed in maternal lineage, suggesting that Polynesian ancestors may have passed through the vicinity of the New Georgia Islands before their expansion to Remote Oceania (Section 1) .The previous studies on haplotype variations of mtDNA and Y chromosome suggested that sex-biased admixture (i.e., females primarily from Asian-related ancestry and males from Papuan-related ancestry) occurred in ancestors of Oceanian populations.In Section 2, to examine sex-biased admixture in Polynesians, the whole genome sequencing data including autosomes, sex chromosomes and mtDNA of Tongans were analyzed and QFST, an estimator of the ratio of effective population size on the X chromosome to that of the autosomes based on the measure of genetic differentiation (FST), was calculated between Tonga and Han Chinese from Beijing (CHB) and between Tonga and Gidra, a modern Papuan population in the lowlands of Western Province, Papua New Guinea.Corresponding to the previous studies, my results corroborated sex-biased admixture in ancestral populations of Tonga but the bias was likely to be not large.In Chapter 3, to assess the effect of admixture on the adaptation of AN-speaking Melanesians in the Solomon Islands, genome-wide SNP data of Munda, an AN-speaking Melanesian population in the New Georgia Islands of the Solomon Islands, were analyzed.I revealed that the Munda people were genetically related to other populations from the Solomon Islands and 51-57% of Munda genomes were estimated to be derived from Papuan-related ancestry when assuming CHB and Gidra as Asian-and Papuan-related ancestors, respectively.Two genomic regions which spanned more than 1 Mbp respectively showed significant proportions of Papuan-and Asian-related ancestry and were suspected to have experienced natural selection.The high Papuan-related ancestry region was located in the HLA class II region and the high Asian-related ancestry region contained the annexin A1 (ANXA1) gene.Since these genes have important roles in immune system, infectious diseases may be one of the possible driving forces of the selection.In Chapter 4, natural selection in Polynesians were detected in two different approaches.In Section 1, natural selection acted over the genomic regions derived from Papuanrelated ancestry was detected by estimating local ancestry across Tonga genomes assuming CHB and Gidra as Asian-and Papuan-related ancestors.The genome-wide proportion of Papuan-related ancestry was estimated about 25-33% in Tonga genomes.Two genomic regions which showed Papuan-related ancestry proportion higher than mean + 5 SD (~68%) were suspected to be shaped by positive selection.One was located in extended major histocompatibility complex regions and the other contained the ATP-binding cassette protein C11 (ABCC11).A nonsynonymous SNP on the ABCC11 (rs17822931) is known to affect apocrine secretory cell function and determine ear wax type.The ancestral allele (C) of rs17822931, wet ear wax allele, was frequently observed in Oceanian populations and likely to have undergone positive selection.Considering that Papuan-related ancestors have inhabited

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,227
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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