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出版者:Princeton University Press

作者:Sergey Gavrilets

出品人:

頁數:496

译者:

出版時間:2004-7

價格:USD 78.50

裝幀:Paperback

isbn號碼:9780691119830

叢書系列:Monographs in Population Biology

圖書標籤:

進化生物學
適應度景觀
物種起源
復雜性
自組織
進化動力學
生物信息學
係統生物學
理論生物學
遺傳算法

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具體描述

The origin of species has fascinated both biologists and the general public since the publication of Darwin's Origin of Species in 1859. Significant progress in understanding the process was achieved in the "modern synthesis," when Theodosius Dobzhansky, Ernst Mayr, and others reconciled Mendelian genetics with Darwin's natural selection. Although evolutionary biologists have developed significant new theory and data about speciation in the years since the modern synthesis, this book represents the first systematic attempt to summarize and generalize what mathematical models tell us about the dynamics of speciation.

Fitness Landscapes and the Origin of Species presents both an overview of the forty years of previous theoretical research and the author's new results. Sergey Gavrilets uses a unified framework based on the notion of fitness landscapes introduced by Sewall Wright in 1932, generalizing this notion to explore the consequences of the huge dimensionality of fitness landscapes that correspond to biological systems.

In contrast to previous theoretical work, which was based largely on numerical simulations, Gavrilets develops simple mathematical models that allow for analytical investigation and clear interpretation in biological terms. Covering controversial topics, including sympatric speciation and the effects of sexual conflict on speciation, this book builds for the first time a general, quantitative theory for the origin of species.

好的，這是一本關於進化生物學、生態學和復雜係統理論的學術專著的簡介，書名為《尺度效應與生命係統的湧現》 (Scaling Effects and the Emergence of Life Systems)。《尺度效應與生命係統的湧現》圖書簡介聚焦於從微觀機製到宏觀生態的跨尺度整閤理論構建《尺度效應與生命係統的湧現》是一部深入探討生命係統在不同尺度層級上如何組織、適應並演化的綜閤性著作。本書摒棄瞭傳統生物學中對特定生物體或單一過程的孤立研究範式，轉而采納一種基於物理學、信息論和復雜性科學的跨尺度視角，旨在揭示生命現象從分子機器到生物圈演化的普適性原理。本書的核心論點在於，尺度（Scale）——無論是空間、時間還是復雜度上的尺度——並非僅僅是觀察的背景，而是驅動生物係統結構與功能組織的關鍵內在因素。係統在不同尺度下的行為，往往錶現齣截然不同的動力學特徵和規則集，而這些規則之間的相互作用和約束，正是理解生命多樣性和穩定性的基礎。第一部分：尺度的界定與生物物理基礎本書的第一部分首先建立瞭研究的理論框架，重點闡述瞭如何量化和界定生物係統中的“尺度”。第一章：尺度作為組織原理的引入。本章討論瞭生物學係統中尺度的多重含義，包括分子尺度（納米級）、細胞尺度（微米級）、器官尺度（毫米到米級）以及種群/生態係統尺度（公裏級以上）。我們引入瞭“尺度分離原理”（Principle of Scale Separation），論證瞭在給定的尺度上，低尺度波動通常被高尺度的限製條件所平均化或抑製，從而使得高尺度結構具有一定的魯棒性。第二章：能量流與耗散結構下的尺度約束。藉鑒非平衡態熱力學，本章分析瞭生命係統作為開放耗散結構，其維持自身有序性所需的能量輸入和熵的産生速率。我們將探討不同尺度下的能量轉換效率極限，並展示體積、錶麵積比（如細胞膜與細胞核的比例）如何通過物理限製（如擴散速率）設定瞭特定尺度下代謝率的上限，從而間接決定瞭特定細胞形態或器官大小的演化範圍。第三章：信息與冗餘度的尺度依賴性。進化不僅是物質的積纍，更是信息的編碼和傳遞。本章考察瞭遺傳信息（DNA）、錶觀遺傳信號以及種群間交流信息在不同時間尺度上的保真度與可塑性。我們量化瞭信息冗餘度在應對環境噪聲時的尺度效應：在短時間內（小時間尺度），過度的冗餘可能導緻遲滯；而在長演化時間尺度上，適度的冗餘則是抵抗突變漂移的關鍵緩衝。第二部分：湧現現象的機製：從分子到群體本書的第二部分將理論框架應用於具體的生物學問題，重點解析跨尺度湧現的復雜行為。第四章：細胞骨架的自組織與組織形態的尺度效應。細胞形態的穩定性遠超單個蛋白質分子的壽命，這依賴於細胞骨架（微管、肌動蛋白）的動態平衡。本章利用反應擴散模型和非綫性動力學，模擬瞭分子馬達和支架蛋白在介導細胞形狀轉變中的反饋機製。我們展示瞭細胞膜麯率與細胞內張力如何在特定長度尺度上（例如，神經元的軸突直徑）“鎖定”組織的幾何結構，使得宏觀的組織架構得以穩定存在。第五章：生態位構建與跨物種尺度的相互依賴性。這一章將尺度分析擴展到群落生態學。我們提齣“生態位構建的尺度層次模型”（Hierarchical Model of Niche Construction），將物種與其物理環境的交互作用分解為：微環境的局部擾動（例如，單個植物根係的土壤改造）和區域氣候的宏觀反饋（例如，森林覆蓋對降雨模式的影響）。重點討論瞭“關鍵介體物種”的定義，即那些其作用尺度跨越多個數量級，能夠有效橋接微觀生物過程與宏觀環境變化的物種。第六章：群體行為的相變與“群體智能”的尺度閾值。針對蜜蜂的覓食決策、魚群的同步遊動等群體行為，本章運用統計物理中的相變理論。我們分析瞭“相互作用強度”（Interaction Strength）與“群體密度”（Density）這兩個關鍵參數如何決定群體是錶現為無序的集閤還是高度協調的集體。書中的模擬結果錶明，隻有當相互作用範圍覆蓋的平均尺度超過瞭環境空間尺度的某一臨界值時，群體纔會錶現齣真正的、超越個體能力的“智能”湧現。第三部分：演化的時空動力學與深層兼容性第三部分將視角聚焦於生命曆史的深層時空，探討演化如何利用和優化尺度效應。第七章：演化速率的時空依賴性。傳統的演化理論多假設速率恒定。本書挑戰瞭這一觀點，提齣演化速率受到係統“時空剛性”（Spatio-temporal Rigidity）的顯著影響。當環境變化速度與物種內部的生理適應速度（時間尺度）和基因流擴散速度（空間尺度）不匹配時，係統將進入不可逆的演化階段或迅速滅絕。我們通過古生物學數據分析瞭大規模滅絕事件與尺度不匹配的潛在關聯。第八章：生命係統的穩健性與“嵌套兼容性”。生命的成功在於其應對災難的能力。本書提齣“嵌套兼容性”（Nested Robustness）的概念，描述瞭生命係統如何通過在不同尺度上建立反饋迴路來實現多重保障。例如，分子層麵的修復機製（小尺度）與種群遺傳多樣性（大尺度）共同作用，使得係統在麵對中等強度的擾動時，能夠通過更低層級的機製快速恢復，從而保護瞭更高層級的結構不被破壞。第九章：生命起源的尺度梯度：從化學到生物圈。在結語部分，我們將尺度分析應用於生命起源問題。我們推測，生命起源並非一個單點事件，而是一個跨越巨大時間尺度的“尺度梯度”過程。這個梯度始於行星尺度的化學條件（如深海熱泉的能量梯度），逐漸聚焦於更小的、能夠自我復製的信息載體尺度，最終，當這些載體達到瞭足夠的復雜度和自組織能力時，纔可能實現“生命”這一宏觀湧現現象。總結與貢獻《尺度效應與生命係統的湧現》力圖提供一個統一的分析框架，以理解生物學中看似分離的現象。它將為研究復雜生物係統、生態網絡穩定性、以及宏觀生物地理學提供一套全新的、基於普適性物理和信息原理的工具。本書對從事理論生物學、生態建模、復雜係統科學以及數學物理等領域的學者和高年級研究生具有重要的啓發意義。

作者簡介

Endorsements

"A landmark work. This is the first systematic summary of the mathematical theory of speciation, and Dr. Gavrilets, whose work has changed the field in recent years, is the most qualified person to have written it. There is no comparable book."—Günter Paul Wagner, Yale University

"Undoubtedly a significant contribution. The book will be valuable not only in speciation theory but beyond the theoretical realm, to empirical scientists working on speciation, to evolutionary biologists more broadly, and to mathematicians interested in the applications. The scholarship is excellent, and the logical organization is impeccable."—Roger Butlin, University of Leeds

"This is a book that has been needed for a long time, but it required someone of Sergey Gavrilets's breadth and depth of understanding of both evolutionary biology and mathematical modeling. Gavrilets has already infused evolutionary biology with highly innovative ways of thinking about the structure of natural selection and the dynamics of evolution, using novel mathematical models to probe difficult ideas. Here he analyzes past work critically and adopts a clear viewpoint of his own, complete with a rich set of models that support that viewpoint. He does so in a way that makes the ideas accessible both to empirical evolutionary researchers and applied mathematicians."—John N. Thompson, University of California, Santa Cruz

"This is the first book I have read about speciation that actually presents the topic in an objective way, rather than carrying on the fifty-year tradition of strong opinions without critical evidence. Gavrilets does a splendid job of building all of the models and discussing their implications."—John A. Endler, University of California, Santa Barbara

目錄資訊

Preface xiii
Mathematical symbols xv
Common abbreviations xviii
1 Introduction 1
1.1 General structure of the book 7
1.2 Some biological ideas and notions 9
1.2.1 Species definition and the nature of reproductive isolation 9
1.2.2 Geographic modes of speciation 10
1.2.3 Some speciation scenarios and patterns 14
Part I
Fitness landscapes
2 Fitness landscapes 21
2.1 Working example: one-locus, two-allele model of viability selection 22
2.2 Fitness landscape as fitness of gene combinations 25
2.3 Fitness landscape as the mean fitness of populations 30
2.4 The metaphor of fitness landscapes 33
2.4.1 Wright's rugged fitness landscapes 34
2.4.2 Fisher's single-peak fitness landscapes 36
2.4.3 Kimura's flat fitness landscapes 38
2.5 Fitness landscapes for mating pairs 40
2.6 Fitness landscapes for quantitative traits 41
2.6.1 Fitness landscape as fitness of trait combinations 41
2.6.2 Fitness landscape as the mean fitness of populations 42
2.6.3 Fitness landscapes for mating pairs 45
2.7 General comment on fitness landscapes 46
2.8 Summary 47
2.9 Conclusions 48
Box 2.1. Dynamics of allele frequencies in one-locus, multiallele population 49
Box 2.2. Hill climbing on a rugged fitness landscape 50
Box 2.3. Evolution on flat landscapes 51
3 Steps toward speciation on rugged fitness landscapes 53
3.1 Stochastic transitions between isolated fitness peaks 53
3.1.1 Fixation of an underdominant mutation 54
3.1.2 Peak shift in a quantitative character 60
3.1.3 Fixation of compensatory mutations in a two-locus haploid population 62
3.2 Some consequences of spatial subdivision and density fluctuations 66
3.2.1 Spatial subdivision 66
3.2.2 Stochastic transitions in a growing population 71
3.3 Peak shifts by selection 75
3.4 Summary 76
3.5 Conclusions 77
Box 3.1. Diffusion theory: the probability of fixation 78
Box 3.2. Diffusion theory: the time to fixation 79
Box 3.3. Diffusion theory: the duration of transition 80
4 Nearly neutral networks and holey fitness landscapes 81
4.1 Simple models 82
4.1.1 Russian roulette model in two dimensions 83
4.1.2 Russian roulette model on hypercubes 86
4.1.3 Generalized Russian roulette model 89
4.1.4 Multiplicative fitnesses 90
4.1.5 Stabilizing selection on an additive trait 91
4.1.6 Models based on the Nk-model 92
4.2 Neutral networks in RNA landscapes 95
4.3 Neutral networks in protein landscapes 97
4.4 Other evidence for nearly neutral networks 99
4.5 The metaphor of holey fitness landscapes 100
4.6 Deterministic evolution on a holey landscape 105
4.6.1 Error threshold 105
4.6.2 Genetic canalization 106
4.7 Stochastic evolution on a holey landscape 108
4.7.1 Random walks 108
4.7.2 Dynamics of haploid populations 112
4.8 Summary 113
4.9 Conclusions 114
Part II
The Bateson-Dobzhansky-Muller model
5 Speciation in the BDM model 117
5.1 The BDM model of reproductive isolation 117
5.1.1 Fitness landscapes in the BDM model 119
5.1.2 The mechanisms of reproductive isolation in the BDM model 121
5.2 Population genetics in the BDM model 124
5.2.1 Haploid population 125
5.2.2 Diploid population 128
5.3 Dynamics of speciation in the BDM model 130
5.3.1 Allopatric speciation 131
5.3.2 Parapatric speciation 137
5.4 Summary 143
5.5 Conclusions 145
Box 5.1. Hitting probability and hitting time in discrete-time Markov chains 146
Box 5.2. Genetic barrier to gene flow 147
6 Multidimensional generalizations of the BDM model 149
6.1 One- and two-locus, multiallele models 149
6.2 Multilocus models 151
6.2.1 The Walsh model 152
6.2.2 Divergent degeneration of duplicated genes 154
6.2.3 Three- and four-locus models 155
6.2.4 Accumulation of genetic incompatibilities 158
6.2.5 Allopatric speciation 174
6.2.6 Parapatric speciation 184
6.3 Summary 192
6.4 Conclusions 194
7 Spatial patterns in the BDM model 195
7.1 Individual-based models: spread of mutually incompatible neutral genes 197
7.1.1 Model 197
7.1.2 Parameters 198
7.1.3 Numerical procedure 199
7.1.4 Results 200
7.1.5 Interpretations 205
7.2 Deme-based models: spread of mutually incompatible neutral genes 207
7.2.1 Model 207
7.2.2 Parameters and dynamic characteristics 210
7.2.3 Results 211
7.2.4 Interpretations 219
7.3 Deme-based models: spread of mutually incompatible advantageous genes 221
7.4 Comment on adaptive radiation 228
7.5 Summary 228
7.6 Conclusions 230
Part III
Speciation via the joint action of disruptive natural selection and nonrandom mating
8 Maintenance of genetic variation under disruptive natural selection 233
8.1 Spatially heterogeneous selection 235
8.1.1 The Levene model 235
8.1.2 Two-locus, two-allele haploid version of the Levene model 238
8.1.3 Restricted migration between two niches 240
8.1.4 Spatial gradients in selection 242
8.1.5 Coevolutionary clines 249
8.2 Spatially uniform disruptive selection 251
8.2.1 Migration-selection balance: the Karlin-McGregor model 251
8.2.2 Migration-selection balance: the Bazykin model 252
8.3 Temporal variation in selection 254
8.4 Frequency-dependent selection in a single population 255
8.4.1 Phenomenological approach 256
8.4.2 Intraspecific competition 257
8.4.3 Spatially heterogeneous selection and competition 263
8.4.4 Adaptive dynamics approach 265
8.5 Summary 277
8.6 Conclusions 278
9 Evolution of nonrandom mating 279
9.1 A general framework for modeling nonrandom mating and fertilization 280
9.1.1 Random mating within mating pools joined preferentially 282
9.1.2 Preferential mating within mating pools joined randomly 284
9.2 Similarity-based nonrandom mating 287
9.2.1 Single locus 287
9.2.2 Multiple loci 299
9.2.3 General conclusions on similarity-based nonrandom mating 309
9.3 Matching-based nonrandom mating 309
9.3.1 Two loci 311
9.3.2 Two polygenic characters 321
9.3.3 One locus, one character 325
9.3.4 General conclusions on matching-based nonrandom mating 326
9.4 Nonrandom mating controlled by a culturally transmitted trait 327
9.5 Summary 328
9.6 Conclusions 330
10 Interaction of disruptive selection and nonrandom mating 331
10.1 Disruptive selection and similarity-based nonrandom mating 332
10.1.1 Single locus 333
10.1.2 Single quantitative character 352
10.1.3 Sympatric speciation with culturally transmitted mating preferences 356
10.2 Disruptive selection and matching-based nonrandom mating 359
10.2.1 Two loci 359
10.2.2 Two polygenic characters 364
10.3 "Magic trait" models 368
10.3.1 Single locus 369
10.3.2 Two loci: speciation by sexual conflict 370
10.3.3 Single polygenic character 374
10.3.4 Two polygenic characters: speciation by sexual selection 384
10.4 Disruptive selection and modifiers of mating 387
10.5 Summary 396
10.6 Conclusions 398
11 General conclusions 399
11.1 The structure of fitness landscapes and speciation 399
11.2 Allopatric speciation 401
11.3 Parapatric speciation 401
11.4 Sympatric speciation 403
11.5 Some speciation scenarios and patterns 406
11.6 General rules of evolutionary diversification 412
11.7 Why species? 414
11.8 Some open theoretical questions 416
11.9 Final thoughts 417
References 419
Index 457
· · · · · · (收起)

讀後感

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用戶評價

评分☆☆☆☆☆

如果從純粹的閱讀體驗角度來看，這本書的裝幀和紙張質量倒是相當不錯，拿在手上很有分量感，適閤放在書架上當成一本有品位的學術參考書。然而，內容上，它似乎過度迷戀於理論的抽象構建，而疏忽瞭與現實世界生態現象的緊密結閤。我期待看到更多關於特定物種如何應對急劇環境變化的鮮活故事，而不是僅僅停留在數學符號的推演上。雖然理論模型是必要的，但如果缺乏具體的生物學例證來“錨定”這些概念，它們就很容易變成空中樓閣，讓人覺得與實際的生物學研究脫節。比如，在討論“適應性峰”的穩定性時，如果能穿插一些關於氣候變化下物種滅絕風險的討論，讀起來會更加貼近當下的緊迫感。目前看來，這本書更像是一次純粹的理論思辨之旅，缺乏必要的“接地氣”的敘事橋梁。

评分☆☆☆☆☆

這本書最讓我感到驚喜的地方，在於它對“時間尺度”的獨特處理。作者似乎在用一種近乎地質學或宇宙學的宏大視角來審視物種的起源與分化。它不僅僅關注基因頻率在代際間的微小變化，而是著眼於跨越數百萬年，大規模形態轉變是如何發生的“演化轉摺點”。這種時間維度的拉伸，使得原本看似微不足道的遺傳變異，在纍積效應下展現齣驚人的創造力。我尤其欣賞其中關於“適應性景觀的塑造者”的討論，它暗示瞭地球物理過程——比如闆塊構造、火山活動——是如何間接地通過改變環境壓力，從而宏觀地指導瞭生命演化的總體方嚮。這種跨學科的視野，將生物學問題置於更廣闊的地球科學背景下進行考察，無疑拓寬瞭讀者的認知邊界。盡管閱讀過程需要高度專注，但最終獲得的那種對生命史詩般的理解，是值得投入精力的。

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這本書的封麵設計倒是挺吸引人的，那種抽象的、有點迷幻的色彩搭配，讓人聯想到某種復雜而又充滿生機的係統。我其實是對進化生物學和復雜係統理論交叉的領域比較感興趣，所以看到這個標題，心裏就自動腦補瞭一堆關於種群動態、適應度麯麵如何塑造生命多樣性的場景。我特彆期待作者能用一種既嚴謹又富有洞察力的方式，去描繪那些在特定環境壓力下，生命形式如何一步步“爬升”到適應性高峰的過程。想象一下，一個物種在麵對環境變化時，基因突變像隨機的探索者，而自然選擇則是那個篩選和引導方嚮的強大力量，最終形成我們今天看到的宏偉的生命圖景。我希望它能深入探討那些“崎嶇不平”的適應度景觀可能導緻的局部最優解陷阱，以及物種如何跨越這些低榖實現飛躍。如果能結閤一些精彩的案例研究，比如某種魚類如何適應瞭新的水域鹽度變化，或者植物的開花時間如何隨著氣候變暖而調整，那就更完美瞭。總體而言，我對這本書充滿瞭基於標題的期待，希望能找到那種能讓人豁然開朗的理論框架。

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說實話，這本書的文字組織方式，一開始讀起來有點讓人摸不著頭腦。感覺作者像是把自己腦海裏所有的想法都一股腦地倒瞭齣來，有點像一個思維跳躍很快的教授在課堂上自由發揮，信息密度非常高，但結構上似乎缺乏一個清晰的導航圖。很多句子都非常長，充滿瞭各種限定詞和復雜的從句，初次接觸這些概念的讀者可能會感到吃力。我得反復閱讀好幾遍纔能真正抓住某個段落的核心論點。比如，它似乎花瞭很多篇幅去界定“景觀”這個概念，從純粹的數學模型到生態學意義上的錶徵，試圖建立一個極其普適的理論基礎，但這種宏大敘事帶來的結果就是，具體的例子和可操作性的分析被稀釋瞭。我更偏愛那種能用清晰的邏輯綫索牽引讀者的敘述方式，這本書目前讀起來更像是一場智力上的攀登，需要讀者自己去梳理和連接那些零散的寶石。希望讀到後麵，這些看似散亂的碎片能拼湊齣一個令人信服的整體圖像。

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我必須承認，這本書在概念的深度上絕對是頂級的。作者對於生物學和物理學交叉領域的理解達到瞭令人敬佩的程度。特彆是在討論突變率和選擇強度對種群演化路徑的影響時，它引入瞭一些我之前從未考慮過的動力學模型。那種對“選擇壓力”如何塑造遺傳漂變邊界的精妙分析，讓我對隨機性和決定性在生命曆史中的角色有瞭全新的認識。它沒有簡單地將進化視為一條直綫，而是將其描繪成一個多維空間中的隨機遊走和勢能驅動的復雜過程。這本書的價值在於，它迫使你跳齣傳統的、綫性的達爾文主義視角，去思考那些隱藏在錶象之下的數學規律。當然，這種深度也意味著它可能不適閤那些隻想瞭解基本進化論故事的普通讀者。它更像是寫給那些已經在相關領域有所涉獵，並渴望深入探究底層機製的研究者們的一份高階讀物，需要讀者具備一定的數理背景纔能充分領會其精髓。

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